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    • Associations of a Breast Cancer Polygenic Risk Score With Tumor Characteristics and Survival.
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    • Incorporating alternative Polygenic Risk Scores into the BOADICEA breast cancer risk prediction model.
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    • Cancer Epidemiol Biomarkers Prev. 2023 Jan 13:EPI-22-0756. doi: 10.1158/1055-9965.EPI-22-0756. Epub ahead of print.
    • Polygenic risk scores and breast cancer risk prediction.
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    • Breast. 2023 Jan 9:S0960-9776(23)00003-6. doi: 10.1016/j.breast.2023.01.003. Epub ahead of print.
    • Risk Assessment and Pancreatic Cancer: Diagnostic Management and Artificial Intelligence.
    • Granata V, Fusco R, Setola SV, Galdiero R, Maggialetti N, Silvestro L, De Bellis M, Di Girolamo E, Grazzini G, Chiti G, Brunese MC, Belli A, Patrone R, Palaia R, Avallone A, Petrillo A, Izzo F.
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    • A polygenic two-hit hypothesis for prostate cancer.
    • Houlahan KE, Livingstone J, Fox NS, Kurganovs N, Zhu H, Sietsma Penington J, Jung CH, Yamaguchi TN, Heisler LE, Jovelin R, Costello AJ, Pope BJ, Kishan AU, Corcoran NM, Bristow RG, Waszak SM, Weischenfeldt J, He HH, Hung RJ, Hovens CM, Boutros PC.
    • J Natl Cancer Inst. 2023 Jan 5:djad001. doi: 10.1093/jnci/djad001. Epub ahead of print.
    • Genetic Risk Prediction for Prostate Cancer: Implications for Early Detection and Prevention.
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    • Eur Urol. 2023 Jan 4:S0302-2838(22)02870-6. doi: 10.1016/j.eururo.2022.12.021. Epub ahead of print.
    • Review
    • Association and performance of polygenic risk scores for breast cancer among French women presenting or not a familial predisposition to the disease.
    • Jiao Y, Truong T, Eon-Marchais S, Mebirouk N, Caputo SM, Dondon MG, Karimi M, Le Gal D, Beauvallet J, Le Floch É, Dandine-Roulland C, Bacq-Daian D, Olaso R, Albuisson J, Audebert-Bellanger S, Berthet P, Bonadona V, Buecher B, Caron O, Cavaillé M, Chiesa J, Colas C, Collonge-Rame MA, Coupier I, Delnatte C, De Pauw A, Dreyfus H, Fert-Ferrer S, Gauthier-Villars M, Gesta P, Giraud S, Gladieff L, Golmard L, Lasset C, Lejeune-Dumoulin S, Léoné M, Limacher JM, Lortholary A, Luporsi É, Mari V, Maugard CM, Mortemousque I, Mouret-Fourme E, Nambot S, Noguès C, Popovici C, Prieur F, Pujol P, Sevenet N, Sobol H, Toulas C, Uhrhammer N, Vaur D, Venat L, Boland-Augé A, Guénel P, Deleuze JF, Stoppa-Lyonnet D, Andrieu N, Lesueur F.
    • Eur J Cancer. 2022 Nov 13 [2023 Jan 1];179:76-86. doi: 10.1016/j.ejca.2022.11.007. Epub ahead of print.
    • Effectiveness of Secondary Risk-Reducing Strategies in Patients With Unilateral Breast Cancer With Pathogenic Variants of BRCA1 and BRCA2 Subjected to Breast-Conserving Surgery: Evidence-Based Simulation Study.
    • Maksimenko J, Rodrigues PP, Nakazawa-Miklaševiča M, Pinto D, Miklaševičs E, Trofimovičs G, Gardovskis J, Cardoso F, Cardoso MJ.
    • JMIR Form Res. 2022 Dec 29;6(12):e37144. doi: 10.2196/37144.
    • Performance of risk prediction models in breast cancer screening among women in Cyprus.
    • Danladi C, Serakinci N.
    • East Mediterr Health J. 2022 Dec 21;28(12):888-895. doi: 10.26719/emhj.22.089.
    • Development and validation of genome-wide polygenic risk scores for predicting breast cancer incidence in Japanese females: a population-based case-cohort study.
    • Ohbe H, Hachiya T, Yamaji T, Nakano S, Miyamoto Y, Sutoh Y, Otsuka-Yamasaki Y, Shimizu A, Yasunaga H, Sawada N, Inoue M, Tsugane S, Iwasaki M; for the Japan Public Health Center-based Prospective Study Group.
    • Breast Cancer Res Treat. 2022 Dec 20. doi: 10.1007/s10549-022-06843-6. Epub ahead of print.
    • Myriad Genetics Generates More Data on its PRS's Ability to Identify Who Will Develop Breast Cancer.
    • Ray F.
    • Precision Oncology News. 2022 Dec 12.
    • CanRisk-Prostate: A Comprehensive, Externally Validated Risk Model for the Prediction of Future Prostate Cancer.
    • Nyberg T, Brook MN, Ficorella L, Lee A, Dennis J, Yang X, Wilcox N, Dadaev T, Govindasami K, Lush M, Leslie G, Lophatananon A, Muir K, Bancroft E, Easton DF, Tischkowitz M, Kote-Jarai Z, Eeles R, Antoniou AC.
    • J Clin Oncol. 2022 Dec 9:JCO2201453. doi: 10.1200/JCO.22.01453. Epub ahead of print.

    Related:

    •• Press: Tool Accurately Predicts Risk of Developing Prostate Cancer. (Inside Precision Medicine)

    • BRCA-CRisk: A Contralateral Breast Cancer Risk Prediction Model for BRCA Carriers.
    • Sun J, Chu F, Pan J, Zhang Y, Yao L, Chen J, Hu L, Zhang J, Xu Y, Wang X, Cao W, Xie Y.
    • J Clin Oncol. 2022 Dec 8:JCO2200833. doi: 10.1200/JCO.22.00833. Epub ahead of print.
    • Investigating the presentation of uncertainty in an icon array: A randomized trial.
    • Recchia G, Lawrence ACE, Freeman ALJ.
    • PEC Innov. 2022 Dec;1:None. doi: 10.1016/j.pecinn.2021.100003.
    • Halo Diagnostics, Ikonopedia Partner to Provide Genetic Testing for Breast Cancer.
    • [No author given]
    • Precision Oncology News. 2022 Nov 28.
    • UK consensus recommendations for clinical management of cancer risk for women with germline pathogenic variants in cancer predisposition genes: RAD51C, RAD51D, BRIP1 and PALB2.
    • Hanson H, Kulkarni A, Loong L, Kavanaugh G, Torr B, Allen S, Ahmed M, Antoniou AC, Cleaver R, Dabir T, Evans DG, Golightly E, Jewell R, Kohut K, Manchanda R, Murray A, Murray J, Ong KR, Rosenthal AN, Woodward ER, Eccles DM, Turnbull C, Tischkowitz M; Consensus meeting attendees, Lalloo F.
    • J Med Genet. 2022 Nov 21:jmg-2022-108898. doi: 10.1136/jmg-2022-108898. Epub ahead of print.
    • Feasibility Study and Clinical Impact of Incorporating Breast Tissue Density in High-Risk Breast Cancer Screening Assessment.
    • Rusnak A, Morrison S, Smith E, Hastings V, Anderson K, Aldridge C, Zelenietz S, Reddick K, Regnier S, Alie E, Islam N, Fasih R, Peddle S, Cordeiro E, Tomiak E, Seely JM.
    • Curr Oncol. 2022 Nov 15;29(11):8742-8750. doi: 10.3390/curroncol29110688.
    • Polygenic risk scores for prediction of breast cancer in Korean women.
    • Jee YH, Ho WK, Park S, Easton DF, Teo SH, Jung KJ, Kraft P.
    • Int J Epidemiol. 2022 Nov 7:dyac206. doi: 10.1093/ije/dyac206. Epub ahead of print.
    • Development and Validation of a Breast Cancer Polygenic Risk Score on the Basis of Genetic Ancestry Composition.
    • Hughes E, Wagner S, Pruss D, Bernhisel R, Probst B, Abkevich V, Simmons T, Hullinger B, Judkins T, Rosenthal E, Roa B, Domchek SM, Eng C, Garber J, Gary M, Klemp J, Mukherjee S, Offit K, Olopade OI, Vijai J, Weitzel JN, Whitworth P, Yehia L, Gordon O, Pederson H, Kurian A, Slavin TP, Gutin A, Lanchbury JS.
    • JCO Precis Oncol. [2022 Nov 3];6:e2200084. doi: 10.1200/PO.22.00084.
    • Reducing the risk of breast cancer.
    • Pederson HJ, Al-Hilli Z, Kurian AW.
    • Cleve Clin J Med. 2022 Nov 1;89(11):643-652. doi: 10.3949/ccjm.89a.21113.
    • Use of Breast Cancer Risk Factors to Identify Risk-Adapted Starting Age of Screening in China.
    • Zheng Y, Dong X, Li J, Qin C, Xu Y, Wang F, Cao W, Xia C, Yu Y, Zhao L, Wu Z, Luo Z, Chen W, Li N, He J.
    • JAMA Netw Open. 2022 Nov 1;5(11):e2241441. doi: 10.1001/jamanetworkopen.2022.41441.

    Related:

    •• Commentary:

    Risk-Based Approaches to Breast Cancer Screening in China.

    • PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients.
    • Giardiello D, Hooning MJ, Hauptmann M, Keeman R, Heemskerk-Gerritsen BAM, Becher H, Blomqvist C, Bojesen SE, Bolla MK, Camp NJ, Czene K, Devilee P, Eccles DM, Fasching PA, Figueroa JD, Flyger H, García-Closas M, Haiman CA, Hamann U, Hopper JL, Jakubowska A, Leeuwen FE, Lindblom A, Lubinski J, Margolin S, Martinez ME, Nevanlinna H, Nevelsteen I, Pelders S, Pharoah PDP, Siesling S, Southey MC, van der Hout AH, van Hest LP, Chang-Claude J, Hall P, Easton DF, Steyerberg EW, Schmidt MK.
    • Breast Cancer Res. 2022 Oct 21;24(1):69. doi: 10.1186/s13058-022-01567-3.
    • Polygenic Risk Scores Could Refine Breast Cancer Screening Recommendations.
    • Curtin C.
    • Precision Oncology News. 2022 Oct 17.
    • Research news
    • Validation of the Nigerian Breast Cancer Study Model for Predicting Individual Breast Cancer Risk in Cameroon and Uganda.
    • Ashi K, Ndom P, Gakwaya A, Makumbi T, Olopade OI, Huo D.
    • Cancer Epidemiol Biomarkers Prev. 2022 Oct 10:EPI-22-0869. doi: 10.1158/1055-9965.EPI-22-0869. Epub ahead of print.
    • Deep Learning vs Traditional Breast Cancer Risk Models to Support Risk-Based Mammography Screening.
    • Lehman CD, Mercaldo S, Lamb LR, King TA, Ellisen LW, Specht M, Tamimi RM.
    • J Natl Cancer Inst. 2022 Oct 6;114(10):1355-1363. doi: 10.1093/jnci/djac142.

    Related:

    Commentary:

    Cancer Risk Prediction Paradigm Shift: Using Artificial Intelligence to Improve Performance and Health Equity.

    • Enhancing the BOADICEA cancer risk prediction model to incorporate new data on RAD51C, RAD51D, BARD1 updates to tumour pathology and cancer incidence.
    • Lee A, Mavaddat N, Cunningham A, Carver T, Ficorella L, Archer S, Walter FM, Tischkowitz M, Roberts J, Usher-Smith J, Simard J, Schmidt MK, Devilee P, Zadnik V, Jürgens H, Mouret-Fourme E, De Pauw A, Rookus M, Mooij TM, Pharoah PP, Easton DF, Antoniou AC.
    • J Med Genet. 2022 Sep 26:jmedgenet-2022-108471. doi: 10.1136/jmedgenet-2022-108471. Epub ahead of print.
    • Prospective validation of the BOADICEA multifactorial breast cancer risk prediction model in a large prospective cohort study.
    • Yang X, Eriksson M, Czene K, Lee A, Leslie G, Lush M, Wang J, Dennis J, Dorling L, Carvalho S, Mavaddat N, Simard J, Schmidt MK, Easton DF, Hall P, Antoniou AC.
    • J Med Genet. 2022 Sep 26:jmg-2022-108806. doi: 10.1136/jmg-2022-108806. Epub ahead of print.
    • Clinical applicability of the Polygenic Risk Score for breast cancer risk prediction in familial cases.
    • Lakeman IMM, Rodríguez-Girondo MDM, Lee A, Celosse N, Braspenning ME, van Engelen K, van de Beek I, van der Hout AH, Gómez García EB, Mensenkamp AR, Ausems MGEM, Hooning MJ, Adank MA, Hollestelle A, Schmidt MK, van Asperen CJ, Devilee P.
    • J Med Genet. 2022 Sep 22:jmedgenet-2022-108502. doi: 10.1136/jmg-2022-108502. Epub ahead of print.

    Related:

    Research news: Polygenic Risk Scores Could Refine Breast Cancer Screening Recommendations. (Precision Oncology News)

    • Family history of prostate and breast cancer integrated with a polygenic risk score identifies men at highest risk of dying from prostate cancer before age 75 years.
    • Plym A, Zhang Y, Stopsack KH, Jee YH, Wiklund F, Kibel AS, Kraft P, Giovannucci E, Penney KL, Mucci LA.
    • Clin Cancer Res. 2022 Sep 14:CCR-22-1723. doi: 10.1158/1078-0432.CCR-22-1723. Epub ahead of print.
    • Low-level constitutional mosaicism of BRCA1 in two women with young onset ovarian cancer.
    • Speight B, Colvin E, Epurescu ED, Drummond J, Verhoef S, Pereira M, Evans DG, Tischkowitz M.
    • Hered Cancer Clin Pract. 2022 Sep 6;20(1):32. doi: 10.1186/s13053-022-00237-x.
    • Polygenic risk scores and risk-stratified breast cancer screening: Familiarity and perspectives of health care professionals.
    • Lapointe J, Buron AC, Mbuya-Bienge C, Dorval M, Pashayan N, Brooks JD, Walker MJ, Chiquette J, Eloy L, Blackmore K, Turgeon A, Lambert-Côté L, Leclerc L, Dalpé G, Joly Y, Knoppers BM, Chiarelli AM, Simard J, Nabi H.
    • Genet Med. 2022 Sep 3:S1098-3600(22)00892-9. doi: 10.1016/j.gim.2022.08.001. Epub ahead of print.
    • Breast cancer risk reduction: who, why, and what?
    • Bozzuto LM.
    • Best Pract Res Clin Obstet Gynaecol. 2022 Sep;83:36-45. doi: 10.1016/j.bpobgyn.2021.11.012. Epub 2021 Dec 8.
    • Review
    • How do women who are informed that they are at increased risk of breast cancer appraise their risk? A systematic review of qualitative research.
    • Woof VG, Howell A, McWilliams L, Gareth Evans D, French DP.
    • Br J Cancer. 2022 Aug 24. doi: 10.1038/s41416-022-01944-x. Epub ahead of print.
    • The construction of transcriptional risk scores for breast cancer based on lightGBM and multiple omics data.
    • Pan J, Ma B, Hou X, Li C, Xiong T, Gong Y, Song F.
    • Math Biosci Eng. 2022 Aug 24;19(12):12353-12370. doi: 10.3934/mbe.2022576.
    • Estimating lifetime risk for breast cancer as a screening tool for identifying those who would benefit from additional services among women utilizing mobile mammography.
    • Wetmore JB, Otarola L, Paulino LJ, Henry BR, Levine AF, Kone D, Ulloa J, Jandorf L, Margolies L, Vang S.
    • J Cancer Policy. 2022 Aug 19:100354. doi: 10.1016/j.jcpo.2022.100354. Epub ahead of print.
    • Does receiving high or low breast cancer risk estimates produce a reduction in subsequent breast cancer screening attendance? Cohort study.
    • French DP, McWilliams L, Howell A, Evans DG.
    • Breast. 2022 Aug;64:47-49. doi: 10.1016/j.breast.2022.05.001. Epub 2022 May 9.
    • Assessing agreement between different polygenic risk scores in the UK Biobank.
    • Clifton L, Collister JA, Liu X, Littlejohns TJ, Hunter DJ.
    • Sci Rep. 2022 Jul 27;12(1):12812. doi: 10.1038/s41598-022-17012-6.

    Related:

    Press: Polygenic Risk Scores Can Differ for Same Disease in Individuals, Hampering Clinical Implementation (GenomeWeb)

    • Patient and Clinician Decision Support to Increase Genetic Counseling for Hereditary Breast and Ovarian Cancer Syndrome in Primary Care: A Cluster Randomized Clinical Trial.
    • Kukafka R, Pan S, Silverman T, Zhang T, Chung WK, Terry MB, Fleck E, Younge RG, Trivedi MS, McGuinness JE, He T, Dimond J, Crew KD.
    • JAMA Netw Open. 2022 Jul 18;5(7):e2222092. doi: 10.1001/jamanetworkopen.2022.22092.

    Related:

    Identifier: NCT03470402: Decision Support for BRCA Testing in Ethnically Diverse Women. (ClinicalTrials.gov)

    • Autres approches en dépistage du cancer du sein [Other approaches in breast cancer screening].
    • Veron L, Wehrer D, Caron O, Balleyguier C, Delaloge S.
    • Bull Cancer. 2022 Jul-Aug;109(7-8):786-794. French. doi: 10.1016/j.bulcan.2022.02.006. Epub 2022 May 5.
    • Review. [Article in French]
    • CBCRisk-Black: a personalized contralateral breast cancer risk prediction model for black women.
    • Sajal IH, Chowdhury M, Wang T, Euhus D, Choudhary PK, Biswas S.
    • Breast Cancer Res Treat. 2022 Jul;194(1):179-186. doi: 10.1007/s10549-022-06612-5. Epub 2022 May 13.
    • Genetic clinicians' confidence in BOADICEA comprehensive breast cancer risk estimates and counselees' psychosocial outcomes: a prospective study.
    • Brédart A, De Pauw A, Tüchler A, Lakeman IMM, Anota A, Rhiem K, Schmutzler R, van Asperen CJ, Devilee P, Stoppa-Lyonnet D, Kop JL, Dolbeault S.
    • Clin Genet. 2022 Jul;102(1):30-39. doi: 10.1111/cge.14147. Epub 2022 May 16.
    • Breast cancer risk stratification in women of screening age: Incremental effects of adding mammographic density, polygenic risk, and a gene panel.
    • Evans DGR, van Veen EM, Harkness EF, Brentnall AR, Astley SM, Byers H, Woodward ER, Sampson S, Southworth J, Howell SJ, Maxwell AJ, Newman WG, Cuzick J, Howell A.
    • Genet Med. 2022 Jul;24(7):1485-1494. doi: 10.1016/j.gim.2022.03.009. Epub 2022 Apr 15.
    • Comprehensive epithelial tubo-ovarian cancer risk prediction model incorporating genetic and epidemiological risk factors.
    • Lee A, Yang X, Tyrer J, Gentry-Maharaj A, Ryan A, Mavaddat N, Cunningham AP, Carver T, Archer S, Leslie G, Kalsi J, Gaba F, Manchanda R, Gayther S, Ramus SJ, Walter FM, Tischkowitz M, Jacobs I, Menon U, Easton DF, Pharoah P, Antoniou AC.
    • J Med Genet. 2022 Jul;59(7):632-643. doi: 10.1136/jmedgenet-2021-107904. Epub 2021 Nov 29.
    • An Integrated Approach for the Early Detection of Endometrial and Ovarian Cancers (Screenwide Study): Rationale, Study Design and Pilot Study.
    • Peremiquel-Trillas P, Paytubi S, Pelegrina B, Frias-Gomez J, Carmona Á, Martínez JM, de Francisco J, Benavente Y, Barahona M, Briansó F, Canet-Hermida J, Caño V, Vidal A, Zanca A, Baixeras N, Rodríguez A, Fernández-Gonzalez S, Dueñas N, Càrdenas L, Aytés Á, Bianchi I, Pavón MÀ, Reventós J, Capellà G, Gómez D, Diaz M, Ponce J, Brunet J, Matias-Guiu X, Bosch FX, de Sanjosé S, Alemany L, Pineda M, Marin F, Costas L.
    • J Pers Med. 2022 Jun 29;12(7):1074. doi: 10.3390/jpm12071074.
    • Polygenic risk scores indicate extreme ages at onset of breast cancer in female BRCA1/2 pathogenic variant carriers.
    • Borde J, Laitman Y, Blümcke B, Niederacher D, Weber-Lassalle K, Sutter C, Rump A, Arnold N, Wang-Gohrke S, Horváth J, Gehrig A, Schmidt G, Dutrannoy V, Ramser J, Hentschel J, Meindl A, Schroeder C, Wappenschmidt B, Engel C, Kuchenbaecker K, Schmutzler RK, Friedman E, Hahnen E, Ernst C.
    • BMC Cancer. 2022 Jun 27;22(1):706. doi: 10.1186/s12885-022-09780-1.
    • Pilot study of a culturally sensitive intervention to promote genetic counseling for breast cancer risk.
    • Henderson V, Madrigal JM, Kendall LC, Parekh P, Newsome J, Chukwudozie IB, Comer-Hagans L, Coffey V, Grumbach G, Spencer S, Rodgers C, Kaur R, Balay L, Maga T, Ramamonjiarivelo Z, Balthazar C, Winn R, Watson K, Odoms-Young A, Hoskins KF.
    • BMC Health Serv Res. 2022 Jun 25;22(1):826. doi: 10.1186/s12913-022-08193-x.

    Related:

    Identifier: NCT04082117: Uptake of Genetic Counseling Among African American Women. (ClinicalTrials.gov)

    • Clinical tools and counseling considerations for breast cancer risk assessment and evaluation for hereditary cancer risk.
    • Hipp LE, Hulswit BB, Milliron KJ.
    • Best Pract Res Clin Obstet Gynaecol. 2022 Jun;82:12-29. doi: 10.1016/j.bpobgyn.2022.02.001. Epub 2022 Feb 9.
    • Review
    • Cumulative Advanced Breast Cancer Risk Prediction Model Developed in a Screening Mammography Population.
    • Kerlikowske K, Chen S, Golmakani MK, Sprague BL, Tice JA, Tosteson ANA, Rauscher GH, Henderson LM, Buist DSM, Lee JM, Gard CC, Miglioretti DL.
    • J Natl Cancer Inst. 2022 May 9;114(5):676-685. doi: 10.1093/jnci/djac008.

    Related:

    Commentary:

    Toward Using Breast Cancer Risk Prediction Models for Guiding Screening Decisions.

    • Allelica, Invitae Partner to Build Ancestry-Informed Polygenic Risk Score for Breast Cancer.
    • [No author given]
    • GenomeWeb. Diagnostics. Molecular Diagnostics. 2022 May 3.
    • Invitae, Allelica to Develop Breast Cancer Polygenic Risk Score.
    • [No author given]
    • Inside Precision Medicine. Topics. Oncology. 2022 May 3.
    • Assessing Breast Cancer Risks to Improve Care for an Increased-Risk Population within Eastern North Carolina.
    • Shelton CH, Bowen C, Guenther WC, Jordan B, Boehmer LM, Weldon CB, Trosman JR, Ruiz A.
    • N C Med J. 2022 May-Jun;83(3):221-228. doi: 10.18043/ncm.83.3.221.
    • Overlap of high-risk individuals predicted by family history, and genetic and non-genetic breast cancer risk prediction models: implications for risk stratification.
    • Ho PJ, Ho WK, Khng AJ, Yeoh YS, Tan BK, Tan EY, Lim GH, Tan SM, Tan VKM, Yip CH, Mohd-Taib NA, Wong FY, Lim EH, Ngeow J, Chay WY, Leong LCH, Yong WS, Seah CM, Tang SW, Ng CWQ, Yan Z, Lee JA, Rahmat K, Islam T, Hassan T, Tai MC, Khor CC, Yuan JM, Koh WP, Sim X, Dunning AM, Bolla MK, Antoniou AC, Teo SH, Li J, Hartman M.
    • BMC Med. 2022 Apr 26;20(1):150. doi: 10.1186/s12916-022-02334-z.
    • Unselected Population Genetic Testing for Personalised Ovarian Cancer Risk Prediction: A Qualitative Study Using Semi-Structured Interviews.
    • Gaba F, Oxley S, Liu X, Yang X, Chandrasekaran D, Kalsi J, Antoniou A, Side L, Sanderson S, Waller J, Ahmed M, Wallace A, Wallis Y, Menon U, Jacobs I, Legood R, Marks D, Manchanda R.
    • Diagnostics (Basel). 2022 Apr 19;12(5):1028. doi: 10.3390/diagnostics12051028.
    • “You are BRCA2-Positive”: Studies that Have Helped Me.
    • Dreher ME.
    • FORCE. Blog. 2022 Apr 5.
    • Risk-Adjusted Cancer Screening and Prevention (RiskAP): Complementing Screening for Early Disease Detection by a Learning Screening Based on Risk Factors.
    • Schmutzler RK, Schmitz-Luhn B, Borisch B, Devilee P, Eccles D, Hall P, Balmaña J, Boccia S, Dabrock P, Emons G, Gaissmaier W, Gronwald J, Houwaart S, Huster S, Kast K, Katalinic A, Linn SC, Moorthie S, Pharoah P, Rhiem K, Spranger T, Stoppa-Lyonnet D, van Delden JJM, van den Bulcke M, Woopen C.
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    • Feasibility of personalized screening and prevention recommendations in the general population through breast cancer risk assessment: results from a dedicated risk clinic.
    • Saghatchian M, Abehsera M, Yamgnane A, Geyl C, Gauthier E, Hélin V, Bazire M, Villoing-Gaudé L, Reyes C, Gentien D, Golmard L, Stoppa-Lyonnet D.
    • Breast Cancer Res Treat. 2022 Apr;192(2):375-383. doi: 10.1007/s10549-021-06445-8. Epub 2022 Jan 7.
    • Effective Surveillance of High-Risk Women.
    • Lotz M, Ghebremichael M, Chervinsky K, Zorc T, Brenner C, Bousvaros G, Pories SE.
    • Clin Breast Cancer. 2022 Apr;22(3):e263-e269. doi: 10.1016/j.clbc.2021.07.014. Epub 2021 Jul 27.
    • Familial pancreatic cancer: who should be considered for genetic testing?
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    • Ir J Med Sci. 2022 Apr;191(2):641-650. doi: 10.1007/s11845-021-02572-9. Epub 2021 Mar 17.
    • Study: New tool to predict breast cancer risk for Black women.
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    • FORCE. XRAY. 2022 Mar 22.

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    A Validated Risk Prediction Model for Breast Cancer in US Black Women.

    Risk Calculator: BWHS Breast Cancer Risk Calculator. (BU Slone Epidemiology Center)

    • Breast cancer risk evaluation for the primary care physician.
    • Klassen CL, Gilman E, Kaur A, Lester SP, Pruthi S.
    • Cleve Clin J Med. 2022 Mar 1;89(3):139-146. doi: 10.3949/ccjm.89a.21023.
    • The current status of risk-stratified breast screening.
    • Clift AK, Dodwell D, Lord S, Petrou S, Brady SM, Collins GS, Hippisley-Cox J.
    • Br J Cancer. 2022 Mar;126(4):533-550. doi: 10.1038/s41416-021-01550-3. Epub 2021 Oct 26.
    • Calibration of polygenic risk scores is required prior to clinical implementation: results of three common cancers in UKB.
    • Wei J, Shi Z, Na R, Resurreccion WK, Wang CH, Duggan D, Zheng SL, Hulick PJ, Helfand BT, Xu J.
    • J Med Genet. 2022 Mar;59(3):243-247. doi: 10.1136/jmedgenet-2020-107286. Epub 2020 Dec 21.
    • Women's perceptions of PERSPECTIVE: a breast cancer risk stratification e-platform.
    • Ahmed S, Lévesque E, Garland R, Knoppers B, Dorval M, Simard J, Loiselle CG.
    • Hered Cancer Clin Pract. 2022 Feb 24;20(1):8. doi: 10.1186/s13053-022-00214-4.
    • The DNA methylome of cervical cells can predict the presence of ovarian cancer.
    • Barrett JE, Jones A, Evans I, Reisel D, Herzog C, Chindera K, Kristiansen M, Leavy OC, Manchanda R, Bjørge L, Zikan M, Cibula D, Widschwendter M.
    • Nat Commun. 2022 Feb 1;13(1):448. doi: 10.1038/s41467-021-26615-y.

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    Press: Methylation Signatures Within Cervical Cells Capture Ovarian, Breast Cancer Risk. (GenomeWeb)

    • The WID-BC-index identifies women with primary poor prognostic breast cancer based on DNA methylation in cervical samples.
    • Barrett JE, Herzog C, Jones A, Leavy OC, Evans I, Knapp S, Reisel D, Nazarenko T, Kim YN, Franchi D, Ryan A, Franks J, Bjørge L, Zikan M, Cibula D, Harbeck N, Colombo N, Dudbridge F, Jones L, Sundström K, Dillner J, Rådestad AF, Gemzell-Danielsson K, Pashayan N, Widschwendter M.
    • Nat Commun. 2022 Feb 1;13(1):449. doi: 10.1038/s41467-021-27918-w.

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    Press: Methylation Signatures Within Cervical Cells Capture Ovarian, Breast Cancer Risk. (GenomeWeb)

    • Are English-language online patient education materials related to breast cancer risk assessment understandable, readable, and actionable?
    • Lamb LR, Baird GL, Roy IT, Choi PHS, Lehman CD, Miles RC.
    • Breast. 2022 Feb;61:29-34. doi: 10.1016/j.breast.2021.11.012. Epub 2021 Nov 25.
    • A case-case analysis of women with breast cancer: predictors of interval vs screen-detected cancer.
    • Dreher N, Matthys M, Hadeler E, Shieh Y, Acerbi I, McAuley FM, Melisko M, Eklund M, Tice JA, Esserman LJ, Veer LJV.
    • Breast Cancer Res Treat. 2022 Feb;191(3):623-629. doi: 10.1007/s10549-021-06451-w. Epub 2021 Nov 29.
    • Development and pilot testing of an online decision aid for women considering risk-stratified breast screening.
    • Lippey J, Keogh L, Campbell I, Mann GB, Forrest L.
    • J Community Genet. 2022 Feb;13(1):137-141. doi: 10.1007/s12687-021-00571-y. Epub 2022 Jan 21.
    • Prospective evaluation of a breast-cancer risk model integrating classical risk factors and polygenic risk in 15 cohorts from six countries.
    • Hurson AN, Pal Choudhury P, Gao C, Hüsing A, Eriksson M, Shi M, Jones ME, Evans DGR, Milne RL, Gaudet MM, Vachon CM, Chasman DI, Easton DF, Schmidt MK, Kraft P, Garcia-Closas M, Chatterjee N; B-CAST Risk Modelling Group.
    • Int J Epidemiol. 2022 Jan 6;50(6):1897-1911. doi: 10.1093/ije/dyab036. Epub 2021 Mar 23.

    Related:

    Commentary:

    Commentary: Polygenic risk for breast cancer: in search for potential clinical utility.

    • The Value of Tyrer-Cuzick Versus Gail Risk Modeling in Predicting Benefit from Screening MRI in Breast Cancer.
    • Sevdalis A, Deng X, Bandyopadhyay D, McGuire KP.
    • Eur J Breast Health. 2021 Dec 30 [eCollection 2022 Jan];18(1):79-84. doi: 10.4274/ejbh.galenos.2021.2021-8-2.
    • Validation of Breast Cancer Risk Models by Race/Ethnicity, Family History and Molecular Subtypes.
    • McCarthy AM, Liu Y, Ehsan S, Guan Z, Liang J, Huang T, Hughes K, Semine A, Kontos D, Conant E, Lehman C, Armstrong K, Braun D, Parmigiani G, Chen J.
    • Cancers (Basel). 2021 Dec 23;14(1):45. doi: 10.3390/cancers14010045.
    • Familial Breast Cancer: Disease Related Gene Mutations and Screening Strategies for Chinese Population.
    • Shen L, Zhang S, Wang K, Wang X.
    • Front Oncol. 2021 Dec 1;11:740227. doi: 10.3389/fonc.2021.740227.

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    Commentary:

    Editorial: Familial Cancer in China: From Detection to Screening and Management.

    • A Validated Risk Prediction Model for Breast Cancer in US Black Women.
    • Palmer JR, Zirpoli G, Bertrand KA, Battaglia T, Bernstein L, Ambrosone CB, Bandera EV, Troester MA, Rosenberg L, Pfeiffer RM, Trinquart L.
    • J Clin Oncol. 2021 Dec 1;39(34):3866-3877. doi: 10.1200/JCO.21.01236. Epub 2021 Oct 8.

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    Press: Breast Cancer Prediction Tool for US Black Women Eases Risk Stratification. (Medscape Oncology)

    Research news: Study: New tool to predict breast cancer risk for Black women. (FORCE)

    Risk Calculator: BWHS Breast Cancer Risk Calculator. (BU Slone Epidemiology Center)

    • Hereditary Cancer Risk Using a Genetic Chatbot Before Routine Care Visits.
    • Nazareth S, Hayward L, Simmons E, Snir M, Hatchell KE, Rojahn S, Slotnick RN, Nussbaum RL.
    • Obstet Gynecol. 2021 Dec 1;138(6):860-870. doi: 10.1097/AOG.0000000000004596.
    • Information needs on breast cancer genetic and non-genetic risk factors in relatives of women with a BRCA1/2 or PALB2 pathogenic variant.
    • Brédart A, De Pauw A, Anota A, Tüchler A, Dick J, Müller A, Kop JL, Rhiem K, Schmutzler R, Devilee P, Stoppa-Lyonnet D, Dolbeault S.
    • Breast. 2021 Dec;60:38-44. doi: 10.1016/j.breast.2021.08.011. Epub 2021 Aug 23.
    • A risk prediction tool for individuals with a family history of breast, ovarian, or pancreatic cancer: BRCAPANCPRO.
    • Blackford AL, Childs EJ, Porter N, Petersen GM, Rabe KG, Gallinger S, Borgida A, Syngal S, Cote ML, Schwartz AG, Goggins MG, Hruban RH, Parmigiani G, Klein AP.
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    • Utilization of breast cancer risk prediction models by cancer genetic counselors in clinical practice predominantly in the United States.
    • Park MS, Weissman SM, Postula KJV, Williams CS, Mauer CB, O'Neill SM.
    • J Genet Couns. 2021 Dec;30(6):1737-1747. doi: 10.1002/jgc4.1442. Epub 2021 Jun 2.
    • UK Women's Views of the Concepts of Personalised Breast Cancer Risk Assessment and Risk-Stratified Breast Screening: A Qualitative Interview Study.
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    • Cancers (Basel). 2021 Nov 19;13(22):5813. doi: 10.3390/cancers13225813.
    • A Review of Breast Cancer Risk Factors in Adolescents and Young Adults.
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    • Cancers (Basel). 2021 Nov 5;13(21):5552. doi: 10.3390/cancers13215552.
    • Potential of polygenic risk scores for improving population estimates of women's breast cancer genetic risks.
    • Wolfson M, Gribble S, Pashayan N, Easton DF, Antoniou AC, Lee A, van Katwyk S, Simard J.
    • Genet Med. 2021 Nov;23(11):2114-2121. doi: 10.1038/s41436-021-01258-y. Epub 2021 Jul 6.
    • Assessment of the Risk of Breast Cancer Development Applying NCI Tool among Iraqi Women.
    • Al Talebi ZA, Ali SK, Kareem ZK, Al-Koofee DAF.
    • Asian Pac J Cancer Prev. 2021 Oct 1;22(10):3121-3126. doi: 10.31557/APJCP.2021.22.10.3121.
    • Communicating polygenic risk scores in the familial breast cancer clinic.
    • Das Gupta K, Gregory G, Meiser B, Kaur R, Scheepers-Joynt M, McInerny S, Taylor S, Barlow-Stewart K, Antill Y, Salmon L, Smyth C, McInerney-Leo A, Young MA, James PA, Yanes T.
    • Patient Educ Couns. 2021 Oct;104(10):2512-2521. doi: 10.1016/j.pec.2021.02.046. Epub 2021 Mar 1.
    • Exploring Implementation of Personal Breast Cancer Risk Assessments.
    • Sierra MA, Wheeler JCW, Devereux L, Trainer AH, Keogh L.
    • J Pers Med. 2021 Sep 30;11(10):992. doi: 10.3390/jpm11100992.
    • Genetic Technologies, WashU Team up to Study Breast Cancer Risk in Woman of African Descent.
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    • Hereditary Breast and Ovarian Cancer Screening Syndrome Profile in Women Diagnosed with Breast Cancer from Paraná State Southwest.
    • Moura JB, Ghedin CC, Takakura ÉT, Scandolara TB, Rech D, Panis C.
    • Rev Bras Ginecol Obstet. 2021 Aug;43(8):616-621. English. doi: 10.1055/s-0041-1733998. Epub 2021 Sep 21.
    • Should Age-Dependent Absolute Risk Thresholds Be Used for Risk Stratification in Risk-Stratified Breast Cancer Screening?
    • Pashayan N, Antoniou AC, Lee A, Wolfson M, Chiquette J, Eloy L, Eisen A, Stockley TL, Nabi H, Brooks JD, Dorval M, Easton DF, Knoppers BM, Chiarelli AM, Simard J.
    • J Pers Med. 2021 Sep 15;11(9):916. doi: 10.3390/jpm11090916.
    • Combination of a 15-SNP Polygenic Risk Score and Classical Risk Factors for the Prediction of Breast Cancer Risk in Cypriot Women.
    • Yiangou K, Kyriacou K, Kakouri E, Marcou Y, Panayiotidis MI, Loizidou MA, Hadjisavvas A, Michailidou K.
    • Cancers (Basel). 2021 Sep 11;13(18):4568. doi: 10.3390/cancers13184568.
    • A polygenic-score-based approach for identification of gene-drug interactions stratifying breast cancer risk.
    • Marderstein AR, Kulm S, Peng C, Tamimi R, Clark AG, Elemento O.
    • Am J Hum Genet. 2021 Sep 2;108(9):1752-1764. doi: 10.1016/j.ajhg.2021.07.008. Epub 2021 Aug 6.

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    News: Breast Cancer Genetic Risk Modified by Corticosteroid Use. (GenomeWeb)

    • Association of Population Screening for Breast Cancer Risk With Use of Mammography Among Women in Medically Underserved Racial and Ethnic Minority Groups.
    • Schwartz C, Chukwudozie IB, Tejeda S, Vijayasiri G, Abraham I, Remo M, Shah HA, Rojas M, Carillo A, Moreno L, Warnecke RB, Hoskins KF.
    • JAMA Netw Open. 2021 Sep 1;4(9):e2123751. doi: 10.1001/jamanetworkopen.2021.23751.

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    Commentary:

    Practice-Changing Opportunity to Reduce Disparities in Screening Mammography-Implementation of Risk Assessment in Primary Care.

    • Breast Cancer Risk Assessment and Primary Prevention Advice in Primary Care: A Systematic Review of Provider Attitudes and Routine Behaviours.
    • Bellhouse S, Hawkes RE, Howell SJ, Gorman L, French DP.
    • Cancers (Basel). 2021 Aug 18;13(16):4150. doi: 10.3390/cancers13164150.
    • Generalizability of Polygenic Risk Scores for Breast Cancer Among Women With European, African, and Latinx Ancestry.
    • Liu C, Zeinomar N, Chung WK, Kiryluk K, Gharavi AG, Hripcsak G, Crew KD, Shang N, Khan A, Fasel D, Manolio TA, Jarvik GP, Rowley R, Justice AE, Rahm AK, Fullerton SM, Smoller JW, Larson EB, Crane PK, Dikilitas O, Wiesner GL, Bick AG, Terry MB, Weng C.
    • JAMA Netw Open. 2021 Aug 2;4(8):e2119084. doi: 10.1001/jamanetworkopen.2021.19084.

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    Commentary:

    Polygenic Risk Scores for Breast Cancer-Can They Deliver on the Promise of Precision Medicine?

    Press: Polygenic Breast Cancer Risk Scores Strive to Overcome Racial Bias. (Medscape Medical News)

    • A Personal Breast Cancer Risk Stratification Model Using Common Variants and Environmental Risk Factors in Japanese Females.
    • Oze I, Ito H, Kasugai Y, Yamaji T, Kijima Y, Ugai T, Kasuga Y, Ouellette TK, Taniyama Y, Koyanagi YN, Imoto I, Tsugane S, Koriyama C, Iwasaki M, Matsuo K.
    • Cancers (Basel). 2021 Jul 28;13(15):3796. doi: 10.3390/cancers13153796.
    • Breast cancer incidence and early diagnosis in a family history risk and prevention clinic: 33-year experience in 14,311 women.
    • Evans DG, Howell SJ, Gandhi A, van Veen EM, Woodward ER, Harvey J, Barr L, Wallace A, Lalloo F, Wilson M, Hurley E, Lim Y, Maxwell AJ, Harkness EF, Howell A.
    • Breast Cancer Res Treat. 2021 Jul 26. doi: 10.1007/s10549-021-06333-1. Epub ahead of print.
    • Volpara Adding Invitae Genetic Test Ordering to Breast Risk Software Platform.
    • [No author given]
    • GenomeWeb. Disease Areas. Cancer. 2021 Jul 22.
    • Polygenic Breast Cancer Risk for Women Veterans in the Million Veteran Program.
    • Minnier J, Rajeevan N, Gao L, Park B, Pyarajan S, Spellman P, Haskell SG, Brandt CA, Luoh SW.
    • JCO Precis Oncol. 2021 Jul 21;5:PO.20.00541. doi: 10.1200/PO.20.00541.
    • Genomic Risk Prediction for Breast Cancer in Older Women.
    • Lacaze P, Bakshi A, Riaz M, Orchard SG, Tiller J, Neumann JT, Carr PR, Joshi AD, Cao Y, Warner ET, Manning A, Nguyen-Dumont T, Southey MC, Milne RL, Ford L, Sebra R, Schadt E, Gately L, Gibbs P, Thompson BA, Macrae FA, James P, Winship I, McLean C, Zalcberg JR, Woods RL, Chan AT, Murray AM, McNeil JJ.
    • Cancers (Basel). 2021 Jul 14;13(14):3533. doi: 10.3390/cancers13143533.
    • Performance of the IBIS/Tyrer-Cuzick model of breast cancer risk by race and ethnicity in the Women's Health Initiative.
    • Kurian AW, Hughes E, Simmons T, Bernhisel R, Probst B, Meek S, Caswell-Jin JL, John EM, Lanchbury JS, Slavin TP, Wagner S, Gutin A, Rohan TE, Shadyab AH, Manson JE, Lane D, Chlebowski RT, Stefanick ML.
    • Cancer. 2021 Jul 6. doi: 10.1002/cncr.33767. Epub ahead of print.
    • Knowledge, views and expectations for cancer polygenic risk testing in clinical practice: a cross-sectional survey of health professionals.
    • Smit AK, Sharman AR, Espinoza D, Wallingford C, Young MA, Dunlop K, Tiller J, Newson AJ, Meiser B, Cust AE, Yanes T.
    • Clin Genet. 2021 Jul 3. doi: 10.1111/cge.14025. Epub ahead of print.
    • DAGM: A novel modelling framework to assess the risk of HER2-negative breast cancer based on germline rare coding mutations.
    • Yang M, Fan Y, Wu ZY, Gu J, Feng Z, Zhang Q, Han S, Zhang Z, Li X, Hsueh YC, Ni Y, Li X, Li J, Hu M, Li W, Gao H, Yang C, Zhang C, Zhang L, Zhu T, Cheng M, Ji F, Xu J, Cui H, Tan G, Zhang MQ, Liang C, Liu Z, Song YQ, Niu G, Wang K.
    • EBioMedicine. 2021 Jul;69:103446. doi: 10.1016/j.ebiom.2021.103446. Epub 2021 Jun 19.
    • Comprehensive Breast Cancer Risk Assessment for CHEK2 and ATM Pathogenic Variant Carriers Incorporating a Polygenic Risk Score and the Tyrer-Cuzick Model.
    • Gallagher S, Hughes E, Kurian AW, Domchek SM, Garber J, Probst B, Morris B, Tshiaba P, Meek S, Rosenthal E, Roa B, Slavin TP, Wagner S, Weitzel J, Gutin A, Lanchbury JS, Robson M.
    • JCO Precis Oncol. 2021 Jun 24;5:PO.20.00484. doi: 10.1200/PO.20.00484.
    • Development and pilot of an online, personalized risk assessment tool for a breast cancer precision medicine trial.
    • Keane H, Huilgol YS, Shieh Y, Tice JA, Belkora J, Sepucha K, Shibley WP, Wang T, Che M, Goodman D, Ozanne E, Fiscalini AS, Esserman LJ.
    • NPJ Breast Cancer. 2021 Jun 17;7(1):78. doi: 10.1038/s41523-021-00288-8.
    • The predictive ability of the 313 variant-based polygenic risk score for contralateral breast cancer risk prediction in women of European ancestry with a heterozygous BRCA1 or BRCA2 pathogenic variant.
    • Lakeman IMM, van den Broek AJ, Vos JAM, Barnes DR, Adlard J, Andrulis IL, Arason A, Arnold N, Arun BK, Balmaña J, Barrowdale D, Benitez J, Borg A, Caldés T, Caligo MA, Chung WK, Claes KBM; GEMO Study Collaborators; EMBRACE Collaborators, Collée JM, Couch FJ, Daly MB, Dennis J, Dhawan M, Domchek SM, Eeles R, Engel C, Evans DG, Feliubadaló L, Foretova L, Friedman E, Frost D, Ganz PA, Garber J, Gayther SA, Gerdes AM, Godwin AK, Goldgar DE, Hahnen E, Hake CR, Hamann U, Hogervorst FBL, Hooning MJ, Hopper JL, Hulick PJ, Imyanitov EN; OCGN Investigators; HEBON Investigators; KconFab Investigators, Isaacs C, Izatt L, Jakubowska A, James PA, Janavicius R, Jensen UB, Jiao Y, John EM, Joseph V, Karlan BY, Kets CM, Konstantopoulou I, Kwong A, Legrand C, Leslie G, Lesueur F, Loud JT, Lubinski J, Manoukian S, McGuffog L, Miller A, Gomes DM, Montagna M, Mouret-Fourme E, Nathanson KL, Neuhausen SL, Nevanlinna H, Yie JNY, Olah E, Olopade OI, Park SK, Parsons MT, Peterlongo P, Piedmonte M, Radice P, Rantala J, Rennert G, Risch HA, Schmutzler RK, Sharma P, Simard J, Singer CF, Stadler Z, Stoppa-Lyonnet D, Sutter C, Tan YY, Teixeira MR, Teo SH, Teulé A, Thomassen M, Thull DL, Tischkowitz M, Toland AE, Tung N, van Rensburg EJ, Vega A, Wappenschmidt B, Devilee P, van Asperen CJ, Bernstein JL, Offit K, Easton DF, Rookus MA, Chenevix-Trench G, Antoniou AC, Robson M, Schmidt MK.
    • Genet Med. 2021 Jun 10. doi: 10.1038/s41436-021-01198-7. Epub ahead of print.
    • Risk of Breast Cancer Among Carriers of Pathogenic Variants in Breast Cancer Predisposition Genes Varies by Polygenic Risk Score.
    • Gao C, Polley EC, Hart SN, Huang H, Hu C, Gnanaolivu R, Lilyquist J, Boddicker NJ, Na J, Ambrosone CB, Auer PL, Bernstein L, Burnside ES, Eliassen AH, Gaudet MM, Haiman C, Hunter DJ, Jacobs EJ, John EM, Lindström S, Ma H, Neuhausen SL, Newcomb PA, O'Brien KM, Olson JE, Ong IM, Patel AV, Palmer JR, Sandler DP, Tamimi R, Taylor JA, Teras LR, Trentham-Dietz A, Vachon CM, Weinberg CR, Yao S, Weitzel JN, Goldgar DE, Domchek SM, Nathanson KL, Couch FJ, Kraft P.
    • J Clin Oncol. 2021 Jun 8:JCO2001992. doi: 10.1200/JCO.20.01992. Epub ahead of print.
    • Myriad Genetics Recalibrates Breast Cancer PRS for All Ancestries in Anticipation of Broader Launch.
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    • J Pers Med. 2021 Jun 4;11(6):511. doi: 10.3390/jpm11060511.
    • Development and Pilot Implementation of the Genomic Risk Assessment for Cancer Implementation and Sustainment (GRACIAS) Intervention in Mexico.
    • Blazer KR, Chavarri-Guerra Y, Villarreal Garza C, Nehoray B, Mohar A, Daneri-Navarro A, Del Toro A, Aguilar D, Arteaga J, Álvarez RM, Mejia R, Herzog J, Castillo D, Fernandez M, Weitzel JN.
    • JCO Glob Oncol. 2021 Jun;7:992-1002. doi: 10.1200/GO.20.00587.
    • Development and external validation of a breast cancer absolute risk prediction model in Chinese population.
    • Han Y, Lv J, Yu C, Guo Y, Bian Z, Hu Y, Yang L, Chen Y, Du H, Zhao F, Wen W, Shu XO, Xiang Y, Gao YT, Zheng W, Guo H, Liang P, Chen J, Chen Z, Huo D, Li L; China Kadoorie Biobank Collaborative Group.
    • Breast Cancer Res. 2021 May 29;23(1):62. doi: 10.1186/s13058-021-01439-2.
    • Breast Cancer-Related Low Penetrance Genes.
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    • Cancer du sein : évaluation individualisée du risque en vue d’un dépistage sur mesure [Breast cancer : individualized risk assessment for tailor-made screening].
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    • Letter, Commentary

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    Association between breast cancer risk and disease aggressiveness: Characterizing underlying gene expression patterns.

    • Fast Five Quiz: Breast Cancer Myths.
    • Chalasani P.
    • Medscape. Drugs & Diseases. 2021 Apr 20.
    • Gail model utilization in predicting breast cancer risk in Egyptian women: a cross-sectional study.
    • Saleh B, Elhawary MA, Mohamed ME, Ali IN, El Zayat MS, Mohamed H.
    • Breast Cancer Res Treat. 2021 Apr 14. doi: 10.1007/s10549-021-06200-z. Epub ahead of print.
    • Contralateral prophylactic mastectomy: A narrative review of the evidence and acceptability.
    • Scheepens JCC, van 't Veer L, Esserman L, Belkora J, Mukhtar RA.
    • Breast. 2021 Apr;56:61-69. doi: 10.1016/j.breast.2021.02.003. Epub 2021 Feb 10.
    • Breast cancer polygenic risk scores in the clinical cancer genetic counseling setting: Current practices and impact on patient management.
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    • J Genet Couns. 2021 Apr;30(2):588-597. doi: 10.1002/jgc4.1347. Epub 2020 Oct 30.
    • Prospective Evaluation of the Addition of Polygenic Risk Scores to Breast Cancer Risk Models.
    • Li SX, Milne RL, Nguyen-Dumont T, Wang X, English DR, Giles GG, Southey MC, Antoniou AC, Lee A, Li S, Winship I, Hopper JL, Terry MB, MacInnis RJ.
    • JNCI Cancer Spectr. 2021 Mar 2;5(3):pkab021. doi: 10.1093/jncics/pkab021.
    • Assessing Risk of Breast Cancer: A Review of Risk Prediction Models.
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    • Review
    • Comparative validation of the BOADICEA and Tyrer-Cuzick breast cancer risk models incorporating classical risk factors and polygenic risk in a population-based prospective cohort of women of European ancestry.
    • Pal Choudhury P, Brook MN, Hurson AN, Lee A, Mulder CV, Coulson P, Schoemaker MJ, Jones ME, Swerdlow AJ, Chatterjee N, Antoniou AC, Garcia-Closas M.
    • Breast Cancer Res. 2021 Feb 15;23(1):22. doi: 10.1186/s13058-021-01399-7.
    • Association between breast cancer risk and disease aggressiveness: Characterizing underlying gene expression patterns.
    • Ugalde-Morales E, Grassmann F, Humphreys K, Li J, Eriksson M, Tobin NP, Borg Å, Vallon-Christersson J, Hall P, Czene K.
    • Int J Cancer. 2021 Feb 15;148(4):884-894. doi: 10.1002/ijc.33270. Epub 2020 Sep 5.

    Related:

    Letter, Commentary:

    Comments on "Association between breast cancer risk and disease aggressiveness: Characterizing underlying gene expression patterns".

    • Impact of Personalized Genetic Breast Cancer Risk Estimation With Polygenic Risk Scores on Preventive Endocrine Therapy Intention and Uptake.
    • Kim JO, Schaid DJ, Vachon CM, Cooke A, Couch FJ, Kim CA, Sinnwell JP, Hasadsri L, Stan DL, Goldenberg B, Neal L, Grenier D, Degnim AC, Thicke LA, Pruthi S.
    • Cancer Prev Res (Phila). 2021 Feb;14(2):175-184. doi: 10.1158/1940-6207.CAPR-20-0154. Epub 2020 Oct 23.
    • Implementation of a High-Risk Breast Clinic for Comprehensive Care of Women With Elevated Breast Cancer Risk Identified by Risk Assessment Models in the Community.
    • Laws A, Mulvey TM.
    • JCO Oncol Pract. 2021 Feb;17(2):e217-e225. doi: 10.1200/OP.20.00256. Epub 2020 Aug 21.
    • Integrating Clinical and Polygenic Factors to Predict Breast Cancer Risk in Women Undergoing Genetic Testing.
    • Hughes E, Tshiaba P, Wagner S, Judkins T, Rosenthal E, Roa B, Gallagher S, Meek S, Dalton K, Hedegard W, Adami CA, Grear DF, Domchek SM, Garber J, Lancaster JM, Weitzel JN, Kurian AW, Lanchbury JS, Gutin A, Robson ME.
    • JCO Precis Oncol. 2021 Jan 28;5:PO.20.00246. doi: 10.1200/PO.20.00246.
    • Influence of lived experience on risk perception among women who received a breast cancer polygenic risk score: 'Another piece of the pie'.
    • Willis AM, Smith SK, Meiser B, James PA, Ballinger ML, Thomas DM, Yanes T, Young MA.
    • J Genet Couns. 2021 Jan 19. doi: 10.1002/jgc4.1384. Epub ahead of print.
    • Increased ease of access to genetic counseling for low-income women with breast cancer using a point of care screening tool.
    • Rao SK, Thomas KA, Singh R, Biltibo E, Lammers PE, Wiesner GL.
    • J Community Genet. 2021 Jan 3. doi: 10.1007/s12687-020-00499-9. Epub ahead of print.
    • Performance of breast cancer polygenic risk scores in 760 female CHEK2 germline mutation carriers.
    • Borde J, Ernst C, Wappenschmidt B, Niederacher D, Weber-Lassalle K, Schmidt G, Hauke J, Quante AS, Weber-Lassalle N, Horváth J, Pohl-Rescigno E, Arnold N, Rump A, Gehrig A, Hentschel J, Faust U, Dutrannoy V, Meindl A, Kuzyakova M, Wang-Gohrke S, Weber BHF, Sutter C, Volk AE, Giannakopoulou O, Lee A, Engel C, Schmidt MK, Antoniou AC, Schmutzler RK, Kuchenbaecker K, Hahnen E.
    • J Natl Cancer Inst. 2020 Dec 29:djaa203. doi: 10.1093/jnci/djaa203. Epub ahead of print.
    • CanRisk Tool - A web interface for the prediction of breast and ovarian cancer risk and the likelihood of carrying genetic pathogenic variants.
    • Carver T, Hartley S, Lee A, Cunningham AP, Archer S, Babb de Villiers C, Roberts J, Ruston R, Walter FM, Tischkowitz M, Easton DF, Antoniou AC.
    • Cancer Epidemiol Biomarkers Prev. 2020 Dec 17:cebp.1319.2020. doi: 10.1158/1055-9965.EPI-20-1319. Epub ahead of print.
    • The role of polygenic risk and susceptibility genes in breast cancer over the course of life.
    • Mars N, Widén E, Kerminen S, Meretoja T, Pirinen M, Della Briotta Parolo P, Palta P; FinnGen, Palotie A, Kaprio J, Joensuu H, Daly M, Ripatti S.
    • Nat Commun. 2020 Dec 14;11(1):6383. doi: 10.1038/s41467-020-19966-5.
    • Comparing Five-Year and Lifetime Risks of Breast Cancer in the Prospective Family Study Cohort.
    • MacInnis RJ, Knight JA, Chung WK, Milne RL, Whittemore AS, Buchsbaum R, Liao Y, Zeinomar N, Dite GS, Southey MC, Goldgar D, Giles GG, Kurian AW; kConFab Investigators, Andrulis IL, John EM, Daly MB, Buys SS, Phillips KA, Hopper JL, Terry MB.
    • J Natl Cancer Inst. 2020 Dec 10:djaa178. doi: 10.1093/jnci/djaa178. Epub ahead of print.

    Related:

    Editorial:

    Identifying Preferred Breast Cancer Risk Predictors: A Holistic Perspective.

    • Long-Term Evaluation of Women Referred to a Breast Cancer Family History Clinic (Manchester UK 1987-2020).
    • Howell A, Gandhi A, Howell S, Wilson M, Maxwell A, Astley S, Harvie M, Pegington M, Barr L, Baildam A, Harkness E, Hopwood P, Wisely J, Wilding A, Greenhalgh R, Affen J, Maurice A, Cole S, Wiseman J, Lalloo F, French DP, Evans DG.
    • Cancers (Basel). 2020 Dec 9;12(12):3697. doi: 10.3390/cancers12123697.
    • Simplified breast risk tool integrating questionnaire risk factors, mammographic density, and polygenic risk score: development and validation.
    • Rosner BA, Tamimi RM, Kraft P, Gao C, Mu Y, Scott CG, Winham SJ, Vachon CM, Colditz GA.
    • Cancer Epidemiol Biomarkers Prev. 2020 Dec 4:cebp.0900.2020. doi: 10.1158/1055-9965.EPI-20-0900. Epub ahead of print.
    • Translating Cancer Risk Prediction Models into Personalized Cancer Risk Assessment Tools: Stumbling Blocks and Strategies for Success.
    • Waters EA, Taber JM, McQueen A, Housten AJ, Studts JL, Scherer LD.
    • Cancer Epidemiol Biomarkers Prev. 2020 Oct 12. doi: 10.1158/1055-9965.EPI-20-0861. Epub ahead of print.
    • Personalizing Breast Cancer Screening Based on Polygenic Risk and Family History.
    • van den Broek JJ, Schechter CB, van Ravesteyn NT, Janssens ACJW, Wolfson MC, Trentham-Dietz A, Simard J, Easton DF, Mandelblatt JS, Kraft P, de Koning HJ.
    • J Natl Cancer Inst. 2020 Aug 27. pii: djaa127. doi: 10.1093/jnci/djaa127. [Epub ahead of print]
    • Screening women at high risk for breast cancer: one program fits all? : Subgroup analysis of a large population high risk breast screening program.
    • Hermann N, Klil-Drori A, Angarita FA, Westergard S, Freitas V, Scaranelo A, McCready DR, Cil TD.
    • Breast Cancer Res Treat. 2020 Aug 26. doi: 10.1007/s10549-020-05895-w. Epub ahead of print.
    • Polygenic background modifies penetrance of monogenic variants for tier 1 genomic conditions.
    • Fahed AC, Wang M, Homburger JR, Patel AP, Bick AG, Neben CL, Lai C, Brockman D, Philippakis A, Ellinor PT, Cassa CA, Lebo M, Ng K, Lander ES, Zhou AY, Kathiresan S, Khera AV.
    • Nat Commun. 2020 Aug 20;11(1):3635. doi: 10.1038/s41467-020-17374-3.

    Related:

    Research news: Polygenic Variation Affects Disease Risk From Monogenic Variants, Study Finds. (GenomeWeb)

    • Breast cancer risk assessment and management.
    • Masood S.
    • Breast J. 2020 Aug 11. doi: 10.1111/tbj.14013. Epub ahead of print.
    • Editorial
    • Penetrance of Breast and Ovarian Cancer in Women Who Carry a BRCA1/2 Mutation and Do Not Use Risk-Reducing Salpingo-Oophorectomy: An Updated Meta-Analysis.
    • Chen J, Bae E, Zhang L, Hughes K, Parmigiani G, Braun D, Rebbeck TR.
    • JNCI Cancer Spectr. 2020 Apr 23 [eCollection 2020 Aug.];4(4):pkaa029. doi: 10.1093/jncics/pkaa029.
    • European polygenic risk score for prediction of breast cancer shows similar performance in Asian women.
    • Ho WK, Tan MM, Mavaddat N, Tai MC, Mariapun S, Li J, Ho PJ, Dennis J, Tyrer JP, Bolla MK, Michailidou K, Wang Q, Kang D, Choi JY, Jamaris S, Shu XO, Yoon SY, Park SK, Kim SW, Shen CY, Yu JC, Tan EY, Chan PMY, Muir K, Lophatananon A, Wu AH, Stram DO, Matsuo K, Ito H, Chan CW, Ngeow J, Yong WS, Lim SH, Lim GH, Kwong A, Chan TL, Tan SM, Seah J, John EM, Kurian AW, Koh WP, Khor CC, Iwasaki M, Yamaji T, Tan KMV, Tan KTB, Spinelli JJ, Aronson KJ, Hasan SN, Rahmat K, Vijayananthan A, Sim X, Pharoah PDP, Zheng W, Dunning AM, Simard J, van Dam RM, Yip CH, Taib NAM, Hartman M, Easton DF, Teo SH, Antoniou AC.
    • Nat Commun. 2020 Jul 31;11(1):3833. doi: 10.1038/s41467-020-17680-w.
    • Breast cancer risk assessment and management programs: A practical guide.
    • Sciaraffa T, Guido B, Khan SA, Kulkarni S.
    • Breast J. 2020 Jul 14. doi: 10.1111/tbj.13967. Epub ahead of print.
    • Review
    • Validation of the BOADICEA model and a 313-variant polygenic risk score for breast cancer risk prediction in a Dutch prospective cohort.
    • Lakeman IMM, Rodríguez-Girondo M, Lee A, Ruiter R, Stricker BH, Wijnant SRA, Kavousi M, Antoniou AC, Schmidt MK, Uitterlinden AG, van Rooij J, Devilee P.
    • Genet Med. 2020 Jul 6. doi: 10.1038/s41436-020-0884-4. Epub ahead of print.
    • Predicting breast cancer risk using interacting genetic and demographic factors and machine learning.
    • Behravan H, Hartikainen JM, Tengström M, Kosma VM, Mannermaa A.
    • Sci Rep. 2020 Jul 6;10(1):11044. doi: 10.1038/s41598-020-66907-9.
    • Association of a Polygenic Risk Score With Breast Cancer Among Women Carriers of High- and Moderate-Risk Breast Cancer Genes.
    • Gallagher S, Hughes E, Wagner S, Tshiaba P, Rosenthal E, Roa BB, Kurian AW, Domchek SM, Garber J, Lancaster J, Weitzel JN, Gutin A, Lanchbury JS, Robson M.
    • JAMA Netw Open. 2020 Jul 1;3(7):e208501. doi: 10.1001/jamanetworkopen.2020.8501.

    Related:

    Research news: Polygenic Risk Score Modifies Breast Cancer Risk in Pathogenic Variant Carriers. (GenomeWeb)

    • Breast cancer risk prediction models and subsequent tumor characteristics.
    • Miller EA, Pinsky PF, Heckman-Stoddard BM, Minasian LM.
    • Breast Cancer. 2020 Jul;27(4):662-669. doi: 10.1007/s12282-020-01060-9. Epub 2020 Feb 13.
    • Machine learning-based lifetime breast cancer risk reclassification compared with the BOADICEA model: impact on screening recommendations.
    • Ming C, Viassolo V, Probst-Hensch N, Dinov ID, Chappuis PO, Katapodi MC.
    • Br J Cancer. 2020 Jun 22. doi: 10.1038/s41416-020-0937-0. Epub ahead of print.
    • Practical implementation of frailty models in Mendelian risk prediction.
    • Huang T, Gorfine M, Hsu L, Parmigiani G, Braun D.
    • Genet Epidemiol. 2020 Jun 7. doi: 10.1002/gepi.22323. Epub ahead of print.
    • Polygenic Risk Score, Family History Refine Breast Cancer Risk Assessment in CHEK2 Mutation Carriers.
    • Anderson A.
    • Precision Oncology News. 2020 May 31.
    • Genetic Testing and Screening Recommendations for Patients with Hereditary Breast Cancer.
    • Bharucha PP, Chiu KE, François FM, Scott JL, Khorjekar GR, Tirada NP.
    • Radiographics. 2020 May 29:190181. doi: 10.1148/rg.2020190181. Epub ahead of print.
    • Review

    Related:

    Commentary:

    Invited Commentary: Breast Cancer Risk Assessment and Screening Strategies-What's New?

    • Utilization of health information technology among cancer genetic counselors.
    • Ritchie JB, Allen CG, Morrison H, Nichols M, Lauzon SD, Schiffman JD, Hughes Halbert C, Welch BM.
    • Mol Genet Genomic Med. 2020 May 28:e1315. doi: 10.1002/mgg3.1315. Epub ahead of print.
    • Women's responses and understanding of polygenic breast cancer risk information.
    • Yanes T, Kaur R, Meiser B, Scheepers-Joynt M, McInerny S, Barlow-Stewart K, Antill Y, Salmon L, Smyth C, James PA, Young MA.
    • Fam Cancer. 2020 May 20. doi: 10.1007/s10689-020-00185-2. Epub ahead of print.
    • UMich Online Tool Aims to Improve Identification of Patients With Hereditary Cancer Risk.
    • Hu C.
    • GenomeWeb. 2020 May 19.
    • News
    • Population-based Genetic Testing for Precision Prevention.
    • Evans O, Manchanda R.
    • Cancer Prev Res (Phila). 2020 May 14:canprevres.0002.2020. doi: 10.1158/1940-6207.CAPR-20-0002. Epub ahead of print.
    • Commentary
    • Prediction of contralateral breast cancer: external validation of risk calculators in 20 international cohorts.
    • Giardiello D, Hauptmann M, Steyerberg EW, Adank MA, Akdeniz D, Blom JC, Blomqvist C, Bojesen SE, Bolla MK, Brinkhuis M, Chang-Claude J, Czene K, Devilee P, Dunning AM, Easton DF, Eccles DM, Fasching PA, Figueroa J, Flyger H, García-Closas M, Haeberle L, Haiman CA, Hall P, Hamann U, Hopper JL, Jager A, Jakubowska A, Jung A, Keeman R, Koppert LB, Kramer I, Lambrechts D, Le Marchand L, Lindblom A, Lubinski J, Manoochehri M, Mariani L, Nevanlinna H, Oldenburg HSA, Pelders S, Pharoah PDP, Shah M, Siesling S, Smit VTHBM, Southey MC, Tapper WJ, Tollenaar RAEM, van den Broek AJ, van Deurzen CHM, van Leeuwen FE, van Ongeval C, Van't Veer LJ, Wang Q, Wendt C, Westenend PJ, Hooning MJ, Schmidt MK.
    • Breast Cancer Res Treat. 2020 Apr 11. doi: 10.1007/s10549-020-05611-8. [Epub ahead of print]
    • Validating breast-cancer risk prediction models in the Korean Cancer Prevention Study-II Biobank.
    • Jee YH, Gao C, Kim J, Park S, Jee SH, Kraft P.
    • Cancer Epidemiol Biomarkers Prev. 2020 Apr 3. pii: cebp.1478.2019. doi: 10.1158/1055-9965.EPI-19-1478. [Epub ahead of print]
    • Integrating DNA methylation measures to improve clinical risk assessment: are we there yet? The case of BRCA1 methylation marks to improve clinical risk assessment of breast cancer.
    • Wong EM, Southey MC, Terry MB.
    • Br J Cancer. 2020 Apr;122(8):1133-1140. doi: 10.1038/s41416-019-0720-2. Epub 2020 Feb 18.
    • A regional population-based hereditary breast cancer screening tool in Italy: First 5-year results.
    • Cortesi L, Baldassarri B, Ferretti S, Razzaboni E, Bella M, Bucchi L, Canuti D, De Iaco P, De Santis G, Falcini F, Galli V, Godino L, Leoni M, Perrone AM, Pignatti M, Saguatti G, Santini D, Sassoli de'Bianchi P, Sebastiani F, Taffurelli M, Tazzioli G, Turchetti D, Zamagni C, Naldoni C.
    • Cancer Med. 2020 Apr;9(7):2579-2589. doi: 10.1002/cam4.2824. Epub 2020 Feb 11.
    • Survey of primary care physicians' views about breast and ovarian cancer screening for true BRCA1/2 non-carriers.
    • Pelletier S, Larouche G, Chiquette J, El Haffaf Z, Foulkes WD, Hamet P, Simard J, Dorval M.
    • J Community Genet. 2020 Apr;11(2):205-213. doi: 10.1007/s12687-019-00438-3. Epub 2019 Oct 28.
    • Uptake of Risk Appropriate Behaviors After Breast Cancer Risk Stratification in the Mammography Screening Population.
    • Conley CC, Niell BL, Augusto BM, McIntyre M, Roetzheim R, Funaro K, Vadaparampil ST.
    • J Am Coll Radiol. 2020 Mar 27. pii: S1546-1440(20)30240-4. doi: 10.1016/j.jacr.2020.02.019. [Epub ahead of print]

    Related:

    Press: Mailed Notices of High Breast Cancer Risk Do Not Often Translate Into Behavior Changes. (Medscape/Reuters)

    • Use of an Online Breast Cancer Risk Assessment and Patient Decision Aid in Primary Care Practices.
    • Eden KB, Ivlev I, Bensching KL, Franta G, Hersh AR, Case J, Fu R, Nelson HD.
    • J Womens Health (Larchmt). 2020 Mar 10. doi: 10.1089/jwh.2019.8143. [Epub ahead of print]
    • Evaluating clinician acceptability of the prototype CanRisk tool for predicting risk of breast and ovarian cancer: A multi-methods study.
    • Archer S, Babb de Villiers C, Scheibl F, Carver T, Hartley S, Lee A, Cunningham AP, Easton DF, McIntosh JG, Emery J, Tischkowitz M, Antoniou AC, Walter FM.
    • PLoS One. 2020 Mar 6;15(3):e0229999. doi: 10.1371/journal.pone.0229999. eCollection 2020.
    • Breast cancer risk assessment in patients who test negative for a hereditary cancer syndrome.
    • Breit C, Ablah E, Ward M, Okut H, Tenofsky PL.
    • Am J Surg. 2020 Mar;219(3):430-433. doi: 10.1016/j.amjsurg.2019.10.015. Epub 2019 Oct 11.

    Related:

    Commentary, Presentation:

    Discussion on: Breast cancer risk assessment in patients who test negative for a hereditary cancer syndrome.

    • Clinical applications of polygenic breast cancer risk: a critical review and perspectives of an emerging field.
    • Yanes T, Young MA, Meiser B, James PA.
    • Breast Cancer Res. 2020 Feb 17;22(1):21. doi: 10.1186/s13058-020-01260-3.
    • Risk Assessment, Genetic Counseling, and Genetic Testing for BRCA-Related Cancer: Recommendation Statement.
    • [No authors listed]
    • Am Fam Physician. 2020 Feb 15;101(4):233-238.

    Related:

    CME Activity:

    Risk Assessment, Genetic Counseling, and Genetic Testing for BRCA-Related Cancer.

    • Breast cancer screening implications of risk modeling among female relatives of ATM and CHEK2 carriers.
    • Weidner AE, Liggin ME, Zuniga BI, Tezak AL, Wiesner GL, Pal T.
    • Cancer. 2020 Jan 22. doi: 10.1002/cncr.32715. [Epub ahead of print]
    • Color Data v2: a user-friendly, open-access database with hereditary cancer and hereditary cardiovascular conditions datasets.
    • Berger MJ, Williams HE, Barrett R, Zimmer AD, McKennon W, Hong H, Ginsberg J, Zhou AY, Neben CL.
    • Database (Oxford). 2020 Jan 1;2020:baaa083. doi: 10.1093/database/baaa083.
    • Prediction and clinical utility of a contralateral breast cancer risk model.
    • Giardiello D, Steyerberg EW, Hauptmann M, Adank MA, Akdeniz D, Blomqvist C, Bojesen SE, Bolla MK, Brinkhuis M, Chang-Claude J, Czene K, Devilee P, Dunning AM, Easton DF, Eccles DM, Fasching PA, Figueroa J, Flyger H, García-Closas M, Haeberle L, Haiman CA, Hall P, Hamann U, Hopper JL, Jager A, Jakubowska A, Jung A, Keeman R, Kramer I, Lambrechts D, Le Marchand L, Lindblom A, Lubiński J, Manoochehri M, Mariani L, Nevanlinna H, Oldenburg HSA, Pelders S, Pharoah PDP, Shah M, Siesling S, Smit VTHBM, Southey MC, Tapper WJ, Tollenaar RAEM, van den Broek AJ, van Deurzen CHM, van Leeuwen FE, van Ongeval C, Van't Veer LJ, Wang Q, Wendt C, Westenend PJ, Hooning MJ, Schmidt MK.
    • Breast Cancer Res. 2019 Dec 17;21(1):144. doi: 10.1186/s13058-019-1221-1.
    • Accuracy of Risk Estimates from the iPrevent Breast Cancer Risk Assessment and Management Tool.
    • Phillips KA, Liao Y, Milne RL, MacInnis RJ, Collins IM, Buchsbaum R, Weideman PC, Bickerstaffe A, Nesci S, Chung WK, Southey MC, Knight JA, Whittemore AS, Dite GS, Goldgar D, Giles GG, Glendon G, Cuzick J, Antoniou AC, Andrulis IL, John EM, Daly MB, Buys SS, Hopper JL, Terry MB; kConFab Investigators.
    • JNCI Cancer Spectr. 2019 Sep 19;3(4):pkz066. doi: 10.1093/jncics/pkz066. eCollection 2019 Dec.
    • Polygenic background modifies penetrance of monogenic variants conferring risk for coronary artery disease, breast cancer, or colorectal cancer.
    • Fahed AC, Wang M, Homburger JR, Patel AP, Bick AG, Neben CL, Lai C, Brockman D, Philippakis A, Ellinor PT, Cassa CA, Lebo M, Ng K, Lander ES, Zhou AY, Kathiresan S, Khera AV.
    • medRxiv. 2019 Nov 29. doi: 10.1101/19013086. [Epub ahead of print]

    Related:

    Press: Polygenic Modifiers of Pathogenic Genes May Refine Disease Risk Prediction. (GenomeWeb)

    • Risk-based breast cancer screening strategies in women.
    • Harkness EF, Astley SM, Evans DG.
    • Best Pract Res Clin Obstet Gynaecol. 2019 Nov 18. pii: S1521-6934(19)30169-5. doi: 10.1016/j.bpobgyn.2019.11.005. [Epub ahead of print]
    • Penetrance of different cancer types in families with Li-Fraumeni syndrome: a validation study using multi-center cohorts.
    • Shin SJ, Dodd-Eaton EB, Peng G, Bojadzieva J, Chen J, Amos CI, Frone MN, Khincha P, Mai PL, Savage SA, Ballinger ML, Thomas DM, Yuan Y, Strong LC, Wang W.
    • Cancer Res. 2019 Nov 12. pii: canres.0728.2019. doi: 10.1158/0008-5472.CAN-19-0728. [Epub ahead of print]
    • Considerations when using breast cancer risk models for women with negative BRCA1/BRCA2 mutation results.
    • MacInnis RJ, Liao Y, Knight JA, Milne RL, Whittemore AS, Chung WK, Leoce N, Buchsbaum R, Zeinomar N, Dite GS, Southey MC, Goldgar D, Giles GG, McLachlan SA, Weideman PC, Nesci S, Friedlander ML, Glendon G; kConFab Investigators, Andrulis IL, John EM, Daly MB, Buys SS, Phillips KA, Hopper JL, Terry MB.
    • J Natl Cancer Inst. 2019 Oct 4. pii: djz194. doi: 10.1093/jnci/djz194. [Epub ahead of print]
    • The Tyrer-Cuzick Model Inaccurately Predicts Invasive Breast Cancer Risk in Women With LCIS.
    • Valero MG, Zabor EC, Park A, Gilbert E, Newman A, King TA, Pilewskie ML.
    • Ann Surg Oncol. 2019 Sep 26. doi: 10.1245/s10434-019-07814-w. [Epub ahead of print]
    • Performance of breast cancer risk assessment models in a large mammography cohort.
    • McCarthy AM, Guan Z, Welch M, Griffin ME, Sippo DA, Deng Z, Coopey SB, Acar A, Semine A, Parmigiani G, Braun D, Hughes KS.
    • J Natl Cancer Inst. 2019 Sep 26. pii: djz177. doi: 10.1093/jnci/djz177. [Epub ahead of print]

    Related:

    Editorial:

    Choosing Breast Cancer Risk Models: Importance of Independent Validation.

    • Choosing Breast Cancer Risk Models: Importance of Independent Validation.
    • Gail MH.
    • J Natl Cancer Inst. 2019 Sep 26. pii: djz180. doi: 10.1093/jnci/djz180. [Epub ahead of print]
    • BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors.
    • Lee A, Mavaddat N, Wilcox AN, Cunningham AP, Carver T, Hartley S, Babb de Villiers C, Izquierdo A, Simard J, Schmidt MK, Walter FM, Chatterjee N, Garcia-Closas M, Tischkowitz M, Pharoah P, Easton DF, Antoniou AC.
    • Genet Med. 2019 Aug;21(8):1708-1718. doi: 10.1038/s41436-018-0406-9. Epub 2019 Jan 15.
    • Benign breast disease increases breast cancer risk independent of underlying familial risk profile: Findings from a Prospective Family Study Cohort.
    • Zeinomar N, Phillips KA, Daly MB, Milne RL, Dite GS, MacInnis RJ, Liao Y, Kehm RD, Knight JA, Southey MC, Chung WK, Giles GG, McLachlan SA, Friedlander ML, Weideman PC, Glendon G, Nesci S; kConFab Investigators, Andrulis IL, Buys SS, John EM, Hopper JL, Terry MB.
    • Int J Cancer. 2019 Jul 15;145(2):370-379. doi: 10.1002/ijc.32112. Epub 2019 Feb 20.
    • A case-control evaluation of 143 single nucleotide polymorphisms for breast cancer risk stratification with classical factors and mammographic density.
    • Brentnall AR, van Veen EM, Harkness EF, Rafiq S, Byers H, Astley SM, Sampson S, Howell A, Newman WG, Cuzick J, Evans DGR.
    • Int J Cancer. 2019 Jun 28. doi: 10.1002/ijc.32541. [Epub ahead of print]
    • Developing a community-based breast cancer risk prediction tool for resource-poor settings.
    • Pillai D, Hossain SS, Chattu VK.
    • J Educ Health Promot. 2019 Jun 27;8:106. doi: 10.4103/jehp.jehp_384_18. eCollection 2019.
    • Predictors of mammographic density among women with a strong family history of breast cancer.
    • Moran O, Eisen A, Demsky R, Blackmore K, Knight JA, Panchal S, Ginsburg O, Zbuk K, Yaffe M, Metcalfe KA, Narod SA, Kotsopoulos J.
    • BMC Cancer. 2019 Jun 26;19(1):631. doi: 10.1186/s12885-019-5855-2.
    • Machine learning techniques for personalized breast cancer risk prediction: comparison with the BCRAT and BOADICEA models.
    • Ming C, Viassolo V, Probst-Hensch N, Chappuis PO, Dinov ID, Katapodi MC.
    • Breast Cancer Res. 2019 Jun 20;21(1):75. doi: 10.1186/s13058-019-1158-4.

    Related:

    Letter:

    Letter to the editor: a response to Ming's study on machine learning techniques for personalized breast cancer risk prediction.

    Letter, Reply:

    Letter to the editor: Response to Giardiello D, Antoniou AC, Mariani L, Easton DF, Steyerberg EW.

    • Addition of a 161-SNP polygenic risk score to family history-based risk prediction: impact on clinical management in non-BRCA1/2 breast cancer families.
    • Lakeman IMM, Hilbers FS, Rodríguez-Girondo M, Lee A, Vreeswijk MPG, Hollestelle A, Seynaeve C, Meijers-Heijboer H, Oosterwijk JC, Hoogerbrugge N, Olah E, Vasen HFA, van Asperen CJ, Devilee P.
    • J Med Genet. 2019 Jun 11. pii: jmedgenet-2019-106072. doi: 10.1136/jmedgenet-2019-106072. [Epub ahead of print]
    • Comparative validation of breast cancer risk prediction models and projections for future risk stratification.
    • Choudhury PP, Wilcox AN, Brook MN, Zhang Y, Ahearn T, Orr N, Coulson P, Schoemaker MJ, Jones ME, Gail MH, Swerdlow AJ, Chatterjee N, Garcia-Closas M.
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    Related:

    Commentary:

    Assessment of breast cancer risk: which tools to use?

    • Breast cancer risk prediction in women aged 35-50 years: impact of including sex hormone concentrations in the Gail model.
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    Related:

    Letter, Commentary:

    A response to "Personalised medicine and population health: breast and ovarian cancer".

    Review:

    Personalised medicine and population health: breast and ovarian cancer.

    • Consumer and clinician perspectives on personalising breast cancer prevention information.
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    • Am J Hum Genet. 2019 Jan 3;104(1):21-34. doi: 10.1016/j.ajhg.2018.11.002. Epub 2018 Dec 13.
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    • Syn NL.
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    • Letter, Comment

    Related:

    Original Research:

    Long-term Accuracy of Breast Cancer Risk Assessment Combining Classic Risk Factors and Breast Density.

    Letter, Reply:

    Competing Risks for a Diagnosis of Invasive Breast Cancer—Reply.

    • Germline Genetics of Prostate Cancer: Time to Incorporate Genetics into Early Detection Tools.
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    • J Community Genet. 2019 Jan;10(1):61-71. doi: 10.1007/s12687-018-0362-8. Epub 2018 Mar 5.
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    • Breast Cancer Res. 2018 Dec 20;20(1):155. doi: 10.1186/s13058-018-1084-x.

    Related:

    Press: Could Gail Model Allow Personalized Breast Screening? (Medscape Oncology)

    • Inclusion of Plasma Prolactin Levels in Current Risk Prediction Models of Premenopausal and Postmenopausal Breast Cancer.
    • Gabrielson M, Ubhayasekera K, Ek B, Andersson Franko M, Eriksson M, Czene K, Bergquist J, Hall P.
    • JNCI Cancer Spectr. 2018 Dec 4;2(4):pky055. doi: 10.1093/jncics/pky055. eCollection 2018 Oct.
    • Cancer Risk Estimates for Study of Multiple-Gene Testing After Diagnosis of Breast Cancer.
    • Narod SA.
    • JAMA Oncol. 2018 Dec 1;4(12):1787-1788. doi: 10.1001/jamaoncol.2018.4931.
    • Letter, Comment

    Related:

    Original Research:

    Uptake, Results, and Outcomes of Germline Multiple-Gene Sequencing After Diagnosis of Breast Cancer.

    Letter, reply:

    Cancer Risk Estimates for Study of Multiple-Gene Testing After Diagnosis of Breast Cancer—Reply

    • The iPrevent Online Breast Cancer Risk Assessment and Risk Management Tool: Usability and Acceptability Testing.
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    • JMIR Form Res. 2018 Nov 7;2(2):e24. doi: 10.2196/formative.9935.
    • A randomized controlled trial of a supportive expressive group intervention for women with a family history of breast cancer.
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    • Personalised medicine and population health: breast and ovarian cancer.
    • Narod SA.
    • Hum Genet. 2018 Oct;137(10):769-778. doi: 10.1007/s00439-018-1944-6. Epub 2018 Oct 17.
    • Review

    Related:

    Letter, Commentary:

    A response to "Personalised medicine and population health: breast and ovarian cancer".

    Letter, Reply:

    Author response to “a response to ‘personalised medicine and population health: breast and ovarian cancer’”.

    • Long-term Accuracy of Breast Cancer Risk Assessment Combining Classic Risk Factors and Breast Density.
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    • JAMA Oncol. 2018 Sep 1;4(9):e180174. doi: 10.1001/jamaoncol.2018.0174. Epub 2018 Sep 13.

    Related:

    Letter, Comment:

    Competing Risks for a Diagnosis of Invasive Breast Cancer

    Letter, Reply:

    Competing Risks for a Diagnosis of Invasive Breast Cancer—Reply.

    • Breast Cancer Risk Model Requirements for Counseling, Prevention, and Screening.
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    • Accuracy of Risk Prediction Models for Breast Cancer and BRCA1/BRCA2 Mutation Carrier Probabilities in Israel.
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    • The Pink Underside: The Commercialization of Medical Risk Assessment and Decision-Making Tools for Hereditary Breast Cancer Risk.
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    • Development of a Breast Cancer Risk Prediction Model for Women in Nigeria.
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    • Cancer Epidemiol Biomarkers Prev. 2018 Jun;27(6):636-643. doi: 10.1158/1055-9965.EPI-17-1128. Epub 2018 Apr 20.
    • Risk, Prediction and Prevention of Hereditary Breast Cancer - Large-Scale Genomic Studies in Times of Big and Smart Data.
    • Wunderle M, Olmes G, Nabieva N, Häberle L, Jud SM, Hein A, Rauh C, Hack CC, Erber R, Ekici AB, Hoyer J, Vasileiou G, Kraus C, Reis A, Hartmann A, Schulz-Wendtland R, Lux MP, Beckmann MW, Fasching PA.
    • Geburtshilfe Frauenheilkd. 2018 May;78(5):481-492. doi: 10.1055/a-0603-4350. Epub 2018 Jun 4.
    • Use of Single-Nucleotide Polymorphisms and Mammographic Density Plus Classic Risk Factors for Breast Cancer Risk Prediction.
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    • JAMA Oncol. 2018 Apr 1;4(4):476-482. doi: 10.1001/jamaoncol.2017.4881.

    Related:

    Press: Use of SNPs Boosts Accuracy of Breast Cancer Risk Assessment. (Medscape/Reuters)

    • Assessing the effectiveness of NICE criteria for stratifying breast cancer risk in a UK cohort.
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    • Common Genetic Variation and Breast Cancer Risk-Past, Present, and Future.
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    • Health literacy and the perception of risk in a breast cancer family history clinic.
    • Rutherford EJ, Kelly J, Lehane EA, Livingstone V, Cotter B, Butt A, O'Sullivan MJ, O Connell F, Redmond HP, Corrigan MA.
    • Surgeon. 2018 Apr;16(2):82-88. doi: 10.1016/j.surge.2016.06.003. Epub 2016 Nov 29.
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    • Molecular-genetic models for prognosis of development of tumors of reproductive system in women with family history of cancer.
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    • Genetics of Breast and Gynecologic Cancers (PDQ®): Health Professional Version. Introduction. Models for Prediction of Breast and Gynecologic Cancer Risk.
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    • A qualitative study on Singaporean women's views towards breast cancer screening and Single Nucleotide Polymorphisms (SNPs) gene testing to guide personalised screening strategies.
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    • Extensions of the Rosner-Colditz breast cancer prediction model to include older women and type-specific predicted risk.
    • Glynn RJ, Colditz GA, Tamimi RM, Chen WY, Hankinson SE, Willett WW, Rosner B.
    • Breast Cancer Res Treat. 2017 Aug;165(1):215-223. doi: 10.1007/s10549-017-4319-0. Epub 2017 Jun 6.
    • Psychosocial and behavioral impact of breast cancer risk assessed by testing for common risk variants: protocol of a prospective study.
    • Yanes T, Meiser B, Young MA, Kaur R, Mitchell G, Barlow-Stewart K, Roscioli T, Halliday J, James P.
    • BMC Cancer. 2017 Jul 18;17(1):491. doi: 10.1186/s12885-017-3485-0.
    • Breast cancer risk models: a comprehensive overview of existing models, validation, and clinical applications.
    • Cintolo-Gonzalez JA, Braun D, Blackford AL, Mazzola E, Acar A, Plichta JK, Griffin M, Hughes KS.
    • Breast Cancer Res Treat. 2017 Jul;164(2):263-284. doi: 10.1007/s10549-017-4247-z. Epub 2017 Apr 25.
    • Review
    • Practice Bulletin Number 179: Breast Cancer Risk Assessment and Screening in Average-Risk Women.
    • [No authors listed]
    • Obstet Gynecol. 2017 Jul;130(1):e1-e16. doi: 10.1097/AOG.0000000000002158.

    Related:

    Summary:

    Practice Bulletin No. 179 Summary: Breast Cancer Risk Assessment and Screening in Average-Risk Women.

    • Use of the BOADICEA Web Application in clinical practice: appraisals by clinicians from various countries.
    • Brédart A, Kop JL, Antoniou AC, Cunningham AP, De Pauw A, Tischkowitz M, Ehrencrona H, Dolbeault S, Robieux L, Rhiem K, Easton DF, Devilee P, Stoppa-Lyonnet D, Schmutlzer R.
    • Fam Cancer. 2017 Jun 16. doi: 10.1007/s10689-017-0014-x. [Epub ahead of print]
    • Extensions of the Rosner-Colditz breast cancer prediction model to include older women and type-specific predicted risk.
    • Glynn RJ, Colditz GA, Tamimi RM, Chen WY, Hankinson SE, Willett WW, Rosner B.
    • Breast Cancer Res Treat. 2017 Jun 6. doi: 10.1007/s10549-017-4319-0. [Epub ahead of print]
    • Validating the IBIS and BOADICEA Models for Predicting Breast Cancer Risk in the Iranian Population.
    • Ghoncheh M, Ziaee F, Karami M, Poorolajal J.
    • Clin Breast Cancer. 2017 Jun;17(3):e113-e118. doi: 10.1016/j.clbc.2017.01.003. Epub 2017 Jan 18.
    • Breast Cancer Risk Assessment Models and High-Risk Screening.
    • Barke LD, Freivogel ME.
    • Radiol Clin North Am. 2017 May;55(3):457-474. doi: 10.1016/j.rcl.2016.12.013.
    • Review
    • Increased Identification of Candidates for High-Risk Breast Cancer Screening Through Expanded Genetic Testing.
    • Rosenthal ET, Evans B, Kidd J, Brown K, Gorringe H, van Orman M, Manley S.
    • J Am Coll Radiol. 2017 Apr;14(4):561-568. doi: 10.1016/j.jacr.2016.10.003. Epub 2016 Dec 20.
    • Testing for Gene-Environment Interactions Using a Prospective Family Cohort Design: Body Mass Index in Early and Later Adulthood and Risk of Breast Cancer.
    • Dite GS, MacInnis RJ, Bickerstaffe A, Dowty JG, Milne RL, Antoniou AC, Weideman P, Apicella C, Giles GG, Southey MC, Jenkins MA, Phillips KA, Win AK, Terry MB, Hopper JL.
    • Am J Epidemiol. 2017 Mar 15;185(6):487-500. doi: 10.1093/aje/kww241.
    • The impact of a panel of 18 SNPs on breast cancer risk in women attending a UK familial screening clinic: a case-control study.
    • Evans DG, Brentnall A, Byers H, Harkness E, Stavrinos P, Howell A; FH-risk study Group, Newman WG, Cuzick J.
    • J Med Genet. 2017 Feb;54(2):111-113. doi: 10.1136/jmedgenet-2016-104125. Epub 2016 Oct 28.
    • Breast Cancer Screening in the Precision Medicine Era: Risk-Based Screening in a Population-Based Trial.
    • Shieh Y, Eklund M, Madlensky L, Sawyer SD, Thompson CK, Stover Fiscalini A, Ziv E, Van't Veer LJ, Esserman LJ, Tice JA; Athena Breast Health Network Investigators.
    • J Natl Cancer Inst. 2017 Jan 27;109(5). pii: djw290. doi: 10.1093/jnci/djw290. Print 2017 Jan.
    • Review

    Related:

    Editorial:

    The Complexity of Achieving the Promise of Precision Breast Cancer Screening.

    • Common breast cancer risk alleles and risk assessment: A study on 35,441 individuals from the Danish general population.
    • Näslund-Koch C, Nordestgaard BG, Bojesen SE.
    • Ann Oncol. 2017 Jan 1;28(1):175-181. doi: 10.1093/annonc/mdw536.

    Related:

    Press: Could Summing Up Breast Cancer Risk Alleles Reduce Unneeded Mammograms? (CancerNetwork)

    • A model for individualized risk prediction of contralateral breast cancer.
    • Chowdhury M, Euhus D, Onega T, Biswas S, Choudhary PK.
    • Breast Cancer Res Treat. 2017 Jan;161(1):153-160. doi: 10.1007/s10549-016-4039-x. Epub 2016 Nov 4.
    • Breast cancer risk prediction using a polygenic risk score in the familial setting: a prospective study from the Breast Cancer Family Registry and kConFab.
    • Li H, Feng B, Miron A, Chen X, Beesley J, Bimeh E, Barrowdale D, John EM, Daly MB, Andrulis IL, Buys SS, Kraft P; kConFab investigators, Thorne H, Chenevix-Trench G, Southey MC, Antoniou AC, James PA, Terry MB, Phillips KA, Hopper JL, Mitchell G, Goldgar DE.
    • Genet Med. 2017 Jan;19(1):30-35. doi: 10.1038/gim.2016.43. Epub 2016 May 12.
    • Computing Individual Risks Based on Family History in Genetic Disease in the Presence of Competing Risks.
    • Nuel G, Lefebvre A, Bouaziz O.
    • Comput Math Methods Med. 2017;2017:9193630. doi: 10.1155/2017/9193630. Epub 2017 Nov 9.
    • Incorporating truncating variants in PALB2, CHEK2, and ATM into the BOADICEA breast cancer risk model.
    • Lee AJ, Cunningham AP, Tischkowitz M, Simard J, Pharoah PD, Easton DF, Antoniou AC.
    • Genet Med. 2016 Dec;18(12):1190-1198. doi: 10.1038/gim.2016.31. Epub 2016 Apr 14.

    Related:

    Comments on NSGC Discussion Forum Cancer SIG

    Subject: PALB2 breast cancer recurrence

    Subject: article request

    • Breast Cancer Risk From Modifiable and Nonmodifiable Risk Factors Among White Women in the United States.
    • Maas P, Barrdahl M, Joshi AD, Auer PL, Gaudet MM, Milne RL, Schumacher FR, Anderson WF, Check D, Chattopadhyay S, Baglietto L, Berg CD, Chanock SJ, Cox DG, Figueroa JD, Gail MH, Graubard BI, Haiman CA, Hankinson SE, Hoover RN, Isaacs C, Kolonel LN, Le Marchand L, Lee IM, Lindström S, Overvad K, Romieu I, Sanchez MJ, Southey MC, Stram DO, Tumino R, VanderWeele TJ, Willett WC, Zhang S, Buring JE, Canzian F, Gapstur SM, Henderson BE, Hunter DJ, Giles GG, Prentice RL, Ziegler RG, Kraft P, Garcia-Closas M, Chatterjee N.
    • JAMA Oncol. 2016 Oct 1;2(10):1295-1302. doi: 10.1001/jamaoncol.2016.1025.

    Related:

    Editorial

    Building and Validating Complex Models of Breast Cancer Risk.

    • Breast cancer risk prediction using a clinical risk model and polygenic risk score.
    • Shieh Y, Hu D, Ma L, Huntsman S, Gard CC, Leung JW, Tice JA, Vachon CM, Cummings SR, Kerlikowske K, Ziv E.
    • Breast Cancer Res Treat. 2016 Oct;159(3):513-25. doi: 10.1007/s10549-016-3953-2. Epub 2016 Aug 26.
    • BRCA2: a grown-up cancer susceptibility gene.
    • Foulkes WD, Sugano K.
    • Endocr Relat Cancer. 2016 Oct;23(10):E1-E3.

    Related:

    Review:

    BRCA2 functions: from DNA repair to replication fork stabilization.

    Review:

    Defects in homologous recombination repair behind the human diseases: FA and HBOC.

    Review:

    Synthetic lethality: the road to novel therapies for breast cancer.

    Review:

    Pancreatic ductal adenocarcinoma in BRCA2 mutation carriers.

    Review:

    Modifiers of breast and ovarian cancer risks for BRCA1 and BRCA2 mutation carriers.

    • Modifiers of breast and ovarian cancer risks for BRCA1 and BRCA2 mutation carriers.
    • Milne RL, Antoniou A.
    • Endocr Relat Cancer. 2016 Oct;23(10):T69-T84. Epub 2016 Aug 15.

    Related:

    Introductory article, Editorial:

    BRCA2: a grown-up cancer susceptibility gene.

    • Clinical utility of a Web-enabled risk-assessment and clinical decision support program.
    • Orlando LA, Wu RR, Myers RA, Buchanan AH, Henrich VC, Hauser ER, Ginsburg GS.
    • Genet Med. 2016 Oct;18(10):1020-8. doi: 10.1038/gim.2015.210. Epub 2016 Mar 3.
    • Polygenic risk score is associated with increased disease risk in 52 Finnish breast cancer families.
    • Muranen TA, Mavaddat N, Khan S, Fagerholm R, Pelttari L, Lee A, Aittomäki K, Blomqvist C, Easton DF, Nevanlinna H.
    • Breast Cancer Res Treat. 2016 Aug;158(3):463-9. doi: 10.1007/s10549-016-3897-6. Epub 2016 Jul 20.
    • Improvement in risk prediction, early detection and prevention of breast cancer in the NHS Breast Screening Programme and family history clinics: a dual cohort study.
    • Evans DG, Astley S, Stavrinos P, Harkness E, Donnelly LS, Dawe S, Jacob I, Harvie M, Cuzick J, Brentnall A, Wilson M, Harrison F, Payne K, Howell A.
    • Southampton (UK): NIHR Journals Library; 2016 Aug.
    • Transitioning to routine breast cancer risk assessment and management in primary care: what can we learn from cardiovascular disease?
    • Phillips KA, Steel EJ, Collins I, Emery J, Pirotta M, Mann GB, Butow P, Hopper JL, Trainer A, Moreton J, Antoniou AC, Cuzick J, Keogh L.
    • Aust J Prim Health. [2016 Jun;]22(3):255-61. doi: 10.1071/PY14156.
    • Adding Risk Markers Improves Breast Cancer Risk Prediction.
    • Alexander M. Castellino.
    • Medscape Medical News. Conference News. American Association for Cancer Research (AACR) 2016 Annual Meeting. 2016 Apr 25.
    • Performance of the Breast Cancer Risk Assessment Tool Among Women Age 75 Years and Older.
    • Schonberg MA, Li VW, Eliassen AH, Davis RB, LaCroix AZ, McCarthy EP, Rosner BA, Chlebowski RT, Rohan TE, Hankinson SE, Marcantonio ER, Ngo LH.
    • J Natl Cancer Inst. 2015 Nov 30;108(3). pii: djv348. doi: 10.1093/jnci/djv348. Print 2016 Mar.
    • iPrevent(®): a tailored, web-based, decision support tool for breast cancer risk assessment and management.
    • Collins IM, Bickerstaffe A, Ranaweera T, Maddumarachchi S, Keogh L, Emery J, Mann GB, Butow P, Weideman P, Steel E, Trainer A, Bressel M, Hopper JL, Cuzick J, Antoniou AC, Phillips KA.
    • Breast Cancer Res Treat. 2016 Feb;156(1):171-82. doi: 10.1007/s10549-016-3726-y. Epub 2016 Feb 24.
    • Breast Cancer Risk Prediction Using Clinical Models and 77 Independent Risk-Associated SNPs for Women Aged Under 50 Years: Australian Breast Cancer Family Registry.
    • Dite GS, MacInnis RJ, Bickerstaffe A, Dowty JG, Allman R, Apicella C, Milne RL, Tsimiklis H, Phillips KA, Giles GG, Terry MB, Southey MC, Hopper JL.
    • Cancer Epidemiol Biomarkers Prev. 2016 Feb;25(2):359-65. doi: 10.1158/1055-9965.EPI-15-0838. Epub 2015 Dec 16.
    • Associations of Breast Cancer Risk Prediction Tools With Tumor Characteristics and Metastasis.
    • Holm J, Li J, Darabi H, Eklund M, Eriksson M, Humphreys K, Hall P, Czene K.
    • J Clin Oncol. 2016 Jan 20;34(3):251-8. doi: 10.1200/JCO.2015.63.0624. Epub 2015 Nov 30.
    • Breast Cancer Risk Based on the Gail Model and its Predictors in Iranian Women.
    • Mirghafourvand M, Mohammad-Alizadeh-Charandabi S, Ahmadpour P, Rahi P.
    • Asian Pac J Cancer Prev. 2016;17(8):3741-5.
    • Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort.
    • Brentnall AR, Harkness EF, Astley SM, Donnelly LS, Stavrinos P, Sampson S, Fox L, Sergeant JC, Harvie MN, Wilson M, Beetles U, Gadde S, Lim Y, Jain A, Bundred S, Barr N, Reece V, Howell A, Cuzick J, Evans DG.
    • Breast Cancer Res. 2015 Dec 1;17(1):147. doi: 10.1186/s13058-015-0653-5.
    • SNPs and breast cancer risk prediction for African American and Hispanic women.
    • Allman R, Dite GS, Hopper JL, Gordon O, Starlard-Davenport A, Chlebowski R, Kooperberg C.
    • Breast Cancer Res Treat. 2015 Dec;154(3):583-9. doi: 10.1007/s10549-015-3641-7. Epub 2015 Nov 20.
    • The readability of online breast cancer risk assessment tools.
    • Cortez S, Milbrandt M, Kaphingst K, James A, Colditz G.
    • Breast Cancer Res Treat. 2015 Nov;154(1):191-9.
    • A model for estimating ovarian cancer risk: Application for preventive oophorectomy.
    • Giannakeas V, Sopik V, Shestopaloff K, Iqbal J, Rosen B, Akbari M, Narod SA.
    • Gynecol Oncol. 2015 Nov;139(2):242-247. doi: 10.1016/j.ygyno.2015.08.020. Epub 2015 Sep 2.
    • Identifying post-menopausal women at elevated risk for epithelial ovarian cancer.
    • Urban N, Hawley S, Janes H, Karlan BY, Berg CD, Drescher CW, Manson JE, Palomares MR, Daly MB, Wactawski-Wende J, O'Sullivan MJ, Thorpe J, Robinson RD, Lane D, Li C, Anderson GL.
    • Gynecol Oncol. 2015 Nov;139(2):253-260. doi: 10.1016/j.ygyno.2015.08.024. Epub 2015 Sep 3.
    • UC Launches Framingham-Like Study to Inform Personalized Breast Cancer Screening Guidelines.
    • Ray T.
    • GenomeWeb. 2015 Oct 26.
    • News
    • Can the breast screening appointment be used to provide risk assessment and prevention advice?
    • Evans DG, Howell A.
    • Breast Cancer Res. 2015 Jul 9;17(1):84. doi: 10.1186/s13058-015-0595-y.
    • Assessing absolute changes in breast cancer risk due to modifiable risk factors.
    • Quante AS, Herz J, Whittemore AS, Fischer C, Strauch K, Terry MB.
    • Breast Cancer Res Treat. 2015 Jul;152(1):193-7. doi: 10.1007/s10549-015-3411-6. Epub 2015 May 27.
    • Practical problems with clinical guidelines for breast cancer prevention based on remaining lifetime risk.
    • Quante AS, Whittemore AS, Shriver T, Hopper JL, Strauch K, Terry MB.
    • J Natl Cancer Inst. 2015 May 8;107(7). pii: djv124. doi: 10.1093/jnci/djv124. Print 2015 Jul.
    • A case-control study to assess the impact of mammographic density on breast cancer risk in women aged 40-49 at intermediate familial risk.
    • Assi V, Massat NJ, Thomas S, MacKay J, Warwick J, Kataoka M, Warsi I, Brentnall A, Warren R, Duffy SW.
    • Int J Cancer. 2015 May 15;136(10):2378-87. doi: 10.1002/ijc.29275. Epub 2014 Nov 22.
    • Prediction of breast cancer risk based on profiling with common genetic variants.
    • Mavaddat N, Pharoah PD, Michailidou K, Tyrer J, Brook MN, Bolla MK, Wang Q, Dennis J, Dunning AM, Shah M, Luben R, Brown J, Bojesen SE, Nordestgaard BG, Nielsen SF, Flyger H, Czene K, Darabi H, Eriksson M, Peto J, Dos-Santos-Silva I, Dudbridge F, Johnson N, Schmidt MK, Broeks A, Verhoef S, Rutgers EJ, Swerdlow A, Ashworth A, Orr N, Schoemaker MJ, Figueroa J, Chanock SJ, Brinton L, Lissowska J, Couch FJ, Olson JE, Vachon C, Pankratz VS, Lambrechts D, Wildiers H, Van Ongeval C, van Limbergen E, Kristensen V, Grenaker Alnæs G, Nord S, Borresen-Dale AL, Nevanlinna H, Muranen TA, Aittomäki K, Blomqvist C, Chang-Claude J, Rudolph A, Seibold P, Flesch-Janys D, Fasching PA, Haeberle L, Ekici AB, Beckmann MW, Burwinkel B, Marme F, Schneeweiss A, Sohn C, Trentham-Dietz A, Newcomb P, Titus L, Egan KM, Hunter DJ, Lindstrom S, Tamimi RM, Kraft P, Rahman N, Turnbull C, Renwick A, Seal S, Li J, Liu J, Humphreys K, Benitez J, Pilar Zamora M, Arias Perez JI, Menéndez P, Jakubowska A, Lubinski J, Jaworska-Bieniek K, Durda K, Bogdanova NV, Antonenkova NN, Dörk T, Anton-Culver H, Neuhausen SL, Ziogas A, Bernstein L, Devilee P, Tollenaar RA, Seynaeve C, van Asperen CJ, Cox A, Cross SS, Reed MW, Khusnutdinova E, Bermisheva M, Prokofyeva D, Takhirova Z, Meindl A, Schmutzler RK, Sutter C, Yang R, Schürmann P, Bremer M, Christiansen H, Park-Simon TW, Hillemanns P, Guénel P, Truong T, Menegaux F, Sanchez M, Radice P, Peterlongo P, Manoukian S, Pensotti V, Hopper JL, Tsimiklis H, Apicella C, Southey MC, Brauch H, Brüning T, Ko YD, Sigurdson AJ, Doody MM, Hamann U, Torres D, Ulmer HU, Försti A, Sawyer EJ, Tomlinson I, Kerin MJ, Miller N, Andrulis IL, Knight JA, Glendon G, Marie Mulligan A, Chenevix-Trench G, Balleine R, Giles GG, Milne RL, McLean C, Lindblom A, Margolin S, Haiman CA, Henderson BE, Schumacher F, Le Marchand L, Eilber U, Wang-Gohrke S, Hooning MJ, Hollestelle A, van den Ouweland AM, Koppert LB, Carpenter J, Clarke C, Scott R, Mannermaa A, Kataja V, Kosma VM, Hartikainen JM, Brenner H, Arndt V, Stegmaier C, Karina Dieffenbach A, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Grip M, Offit K, Vijai J, Robson M, Rau-Murthy R, Dwek M, Swann R, Annie Perkins K, Goldberg MS, Labrèche F, Dumont M, Eccles DM, Tapper WJ, Rafiq S, John EM, Whittemore AS, Slager S, Yannoukakos D, Toland AE, Yao S, Zheng W, Halverson SL, González-Neira A, Pita G, Rosario Alonso M, Álvarez N, Herrero D, Tessier DC, Vincent D, Bacot F, Luccarini C, Baynes C, Ahmed S, Maranian M, Healey CS, Simard J, Hall P, Easton DF, Garcia-Closas M.
    • J Natl Cancer Inst. 2015 Apr 8;107(5). pii: djv036. doi: 10.1093/jnci/djv036. Print 2015 May.

    Related:

    Comments on NSGC Discussion Forum Cancer SIG

    Subject: BREVAGenplus- what is it?

    Editorial

    Breast cancer prevention in the era of precision medicine.

    Research News

    Genetic screening could improve breast cancer prevention, study finds.

    • The contributions of breast density and common genetic variation to breast cancer risk.
    • Vachon CM, Pankratz VS, Scott CG, Haeberle L, Ziv E, Jensen MR, Brandt KR, Whaley DH, Olson JE, Heusinger K, Hack CC, Jud SM, Beckmann MW, Schulz-Wendtland R, Tice JA, Norman AD, Cunningham JM, Purrington KS, Easton DF, Sellers TA, Kerlikowske K, Fasching PA, Couch FJ.
    • J Natl Cancer Inst. 2015 Mar 4;107(5). pii: dju397. doi: 10.1093/jnci/dju397. Print 2015 May.

    Related:

    Press: Polygene Test Can Predict Risk for Breast Cancer. (Medscape Oncology)

    Press: Polygenic Risk Score Improves Breast Cancer Prediction. (Clinical OMICs)

    • Are Women Willing to Change Breast Cancer Screening Guidelines?
    • Cohn W, Novicoff W, Dean MM, Guterbock T, Rexrode D, Eggleston C, Harvey J, Knaus W.
    • Cancer Epidemiol Biomarkers Prev. 2015 Apr;24(4):765. ASPO 39th Annual Meeting Abstracts. doi: 10.1158/1055-9965.EPI-15-0116.
    • Conference abstract
    • Prospective Approach to Breast Cancer Risk Prediction in African American Women: The Black Women's Health Study Model.
    • Boggs DA, Rosenberg L, Adams-Campbell LL, Palmer JR.
    • J Clin Oncol. 2015 Mar 20;33(9):1038-44. doi: 10.1200/JCO.2014.57.2750. Epub 2015 Jan 26.
    • An integrated breast cancer risk assessment and management model based on fuzzy cognitive maps.
    • Subramanian J, Karmegam A, Papageorgiou E, Papandrianos N, Vasukie A.
    • Comput Methods Programs Biomed. 2015 Mar;118(3):280-97. doi: 10.1016/j.cmpb.2015.01.001. Epub 2015 Jan 21.
    • Update on breast cancer risk prediction and prevention.
    • Sestak I, Cuzick J.
    • Curr Opin Obstet Gynecol. 2015 Feb;27(1):92-7. doi: 10.1097/GCO.0000000000000153.
    • Review
    • The use of the Gail model, body mass index and SNPs to predict breast cancer among women with abnormal (BI-RADS 4) mammograms.
    • McCarthy AM, Keller B, Kontos D, Boghossian L, McGuire E, Bristol M, Chen J, Domchek S, Armstrong K.
    • Breast Cancer Res. 2015 Jan 8;17:1. doi: 10.1186/s13058-014-0509-4.
    • A polygenic risk score for breast cancer in women receiving tamoxifen or raloxifene on NSABP P-1 and P-2.
    • Vachon CM, Schaid DJ, Ingle JN, Wickerham DL, Kubo M, Mushiroda T, Goetz MP, Carlson EE, Paik S, Wolmark N, Nakamura Y, Wang L, Weinshilboum R, Couch FJ.
    • Breast Cancer Res Treat. 2015 Jan;149(2):517-23. doi: 10.1007/s10549-014-3175-4. Epub 2015 Jan 10.
    • Variation in predictive ability of common genetic variants by established strata: the example of breast cancer and age.
    • Aschard H, Zaitlen N, Lindström S, Kraft P.
    • Epidemiology. 2015 Jan;26(1):51-8. doi: 10.1097/EDE.0000000000000195.
    • Combined associations of genetic and environmental risk factors: implications for prevention of breast cancer.
    • Garcia-Closas M, Gunsoy NB, Chatterjee N.
    • J Natl Cancer Inst. 2014 Nov 12;106(11). pii: dju305. doi: 10.1093/jnci/dju305. Print 2014 Nov.

    Related:

    Comment/Letter:

    Re: Combined associations of genetic and environmental risk factors: implications for prevention of breast cancer.

    • A steroid metabolizing gene variant in a polyfactorial model improves risk prediction in a high incidence breast cancer population.
    • Jupe ER, Dalessandri KM, Mulvihill JJ, Miike , Knowlton NS, Pugh TW, Zhao LP, DeFreese DC, Manjeshwar S, Gramling BA, Wiencke JK, Benz CC.
    • BBA Clin. 2014 Nov 8;2:94-102. doi: 10.1016/j.bbacli.2014.11.001. eCollection 2014.
    • The role of genome sequencing in personalized breast cancer prevention.
    • Sieh W, Rothstein JH, McGuire V, Whittemore AS.
    • Cancer Epidemiol Biomarkers Prev. 2014 Nov;23(11):2322-7. doi: 10.1158/1055-9965.EPI-14-0559.

    Related:

    Press: Genomic Sequencing More Efficient in Predicting Breast Cancer Risk Than Previously Thought. (AACR Newsroom)

    Blog: Cancer Genomics: Using Big Data to Advance Breast Cancer Risk Prediction. (Cancer Research Catalyst/AACR)

    Press: Here’s How Well Your Genes Can Predict Your Breast Cancer Risk. (Time | Health)

    • Assessing and managing breast cancer risk: clinicians' current practice and future needs.
    • Collins IM, Steel E, Mann GB, Emery JD, Bickerstaffe A, Trainer A, Butow P, Pirotta M, Antoniou AC, Cuzick J, Hopper J, Phillips KA, Keogh LA.
    • Breast. 2014 Oct;23(5):644-50. doi: 10.1016/j.breast.2014.06.014. Epub 2014 Jul 4.
    • Breast cancer risk in young women in the national breast screening programme: implications for applying NICE guidelines for additional screening and chemoprevention.
    • Evans DG, Brentnall AR, Harvie M, Dawe S, Sergeant JC, Stavrinos P, Astley S, Wilson M, Ainsworth J, Cuzick J, Buchan I, Donnelly LS, Howell A.
    • Cancer Prev Res (Phila). 2014 Oct;7(10):993-1001. doi: 10.1158/1940-6207.CAPR-14-0037. Epub 2014 Jul 21.
    • Risk determination and prevention of breast cancer.
    • Howell A, Anderson AS, Clarke RB, Duffy SW, Evans DG, Garcia-Closas M, Gescher AJ, Key TJ, Saxton JM, Harvie MN.
    • Breast Cancer Res. 2014 Sep 28;16(5):446. doi: 10.1186/s13058-014-0446-2.
    • Reproductive and hormonal factors, family history, and breast cancer according to the hormonal receptor status.
    • Rosato V, Bosetti C, Negri E, Talamini R, Dal Maso L, Malvezzi M, Falcini F, Montella M, La Vecchia C.
    • Eur J Cancer Prev. 2014 Sep;23(5):412-7. doi: 10.1097/CEJ.0b013e3283639f7a.
    • Recent BRCAPRO Upgrades Significantly Improve Calibration.
    • Mazzola E, Chipman J, Cheng SC, Parmigiani G.
    • Cancer Epidemiol Biomarkers Prev. 2014 Aug;23(8):1689-95. doi: 10.1158/1055-9965.EPI-13-1364. Epub 2014 Jun 2.
    • A randomized, controlled trial to increase discussion of breast cancer in primary care.
    • Kaplan CP, Livaudais-Toman J, Tice JA, Kerlikowske K, Gregorich SE, Pérez-Stable EJ, Pasick RJ, Chen A, Quinn J, Karliner LS.
    • Cancer Epidemiol Biomarkers Prev. 2014 Jul;23(7):1245-53. doi: 10.1158/1055-9965.EPI-13-1380. Epub 2014 Apr 24.
    • Assessing breast cancer risk models in Marin County, a population with high rates of delayed childbirth.
    • Powell M, Jamshidian F, Cheyne K, Nititham J, Prebil LA, Ereman R.
    • Clin Breast Cancer. 2014 Jun;14(3):212-220.e1. doi: 10.1016/j.clbc.2013.11.003. Epub 2013 Nov 22.
    • Breast cancer risk assessment in 8,824 women attending a family history evaluation and screening programme.
    • Evans DG, Ingham S, Dawe S, Roberts L, Lalloo F, Brentnall AR, Stavrinos P, Howell A.
    • Fam Cancer. 2014 Jun;13(2):189-96. doi: 10.1007/s10689-013-9694-z.
    • Current strategies for the prevention of breast cancer.
    • Advani P, Moreno-Aspitia A.
    • Breast Cancer (Dove Med Press). 2014 May 2;6:59-71. doi: 10.2147/BCTT.S39114. eCollection 2014.
    • Tools of the trade: individualized breast cancer risk assessment.
    • Millstine D, David P, Pruthi S.
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    • Calls for more personalised breast cancer screening.
    • Philippa Brice.
    • PHG Foundation, 2014 Mar 24.

    Related:

    Press: Call for change to breast cancer screening approach. (BBC Health)

    Press: More frequent mammograms might benefit a third of women, study shows. (University of Manchester | Discover)

    • Let’s Talk About Risk: Personalizing Breast Cancer Risk Prediction.
    • [No author given]
    • Show Me The Evidence, Canadian Institute of Health Research, 2014 Spring.
    • An alternative approach to selecting patients for high-risk screening with breast MRI.
    • Hollingsworth AB, Stough RG.
    • Breast J. 2014 Mar-Apr;20(2):192-7. doi: 10.1111/tbj.12242. Epub 2014 Jan 6.
    • Distribution of breast cancer risk from SNPs and classical risk factors in women of routine screening age in the UK.
    • Brentnall AR, Evans DG, Cuzick J.
    • Br J Cancer. 2014 Feb 4;110(3):827-8. doi: 10.1038/bjc.2013.747. Epub 2014 Jan 21.
    • Risk assessment of multistate progression of breast tumor with state-dependent genetic and environmental covariates.
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    • Risk Anal. 2014 Feb;34(2):367-79. doi: 10.1111/risa.12116. Epub 2013 Sep 23.
    • Cost-effectiveness of a genetic test for breast cancer risk.
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    • Cancer Prev Res (Phila). 2013 Dec;6(12):1328-36. doi: 10.1158/1940-6207.CAPR-13-0056.

    Related:

    Comment/Letter:

    Cost-effectiveness of a genetic test for breast cancer risk--letter.

    Comment/Letter:

    Cost-effectiveness of a genetic test for breast cancer risk--response.

    • Assessing the breast cancer risk distribution for women undergoing screening in British Columbia.
    • Weisstock CR, Rajapakshe R, Bitgood C, McAvoy S, Gordon PB, Coldman AJ, Parker BA, Wilson C.
    • Cancer Prev Res (Phila). 2013 Oct;6(10):1084-92. doi: 10.1158/1940-6207.CAPR-13-0027. Epub 2013 Aug 20.
    • Validation, calibration and refitting of a familial breast cancer model in sisterships: a case study in the Swedish sisters data.
    • van Houwelingen HC, Rebora P, Reilly M.
    • Stat Med. 2013 Sep 10;32(20):3486-500. doi: 10.1002/sim.5781. Epub 2013 Mar 18.
    • Prospective validation of the breast cancer risk prediction model BOADICEA and a batch-mode version BOADICEACentre.
    • Macinnis RJ, Bickerstaffe A, Apicella C, Dite GS, Dowty JG, Aujard K, Phillips KA, Weideman P, Lee A, Terry MB, Giles GG, Southey MC, Antoniou AC, Hopper JL.
    • Br J Cancer. 2013 Sep 3;109(5):1296-301. doi: 10.1038/bjc.2013.382. Epub 2013 Aug 13.
    • C3-3: Using the Electronic Health Record and the National Cancer Institute’s Breast Cancer Risk Assessment (SAS) Macro to Identify Women at Increased Risk for Breast Cancer.
    • Leader J, Bengier A, Darer J, Stark A, Vogel V.
    • Clinical Medicine & Research. 2013 Sep 1;11(3):150. doi: 10.3121/cmr.2013.1176.c3-3.
    • Breast Cancer Risk Factors.
    • Alison T Stopeck.
    • eMedicine. 2013 Aug 19.
    • Providing access to risk prediction tools via the HL7 XML-formatted risk web service.
    • Chipman J, Drohan B, Blackford A, Parmigiani G, Hughes K, Bosinoff P.
    • Breast Cancer Res Treat. 2013 Jul;140(1):187-93. doi: 10.1007/s10549-013-2605-z. Epub 2013 Jun 23.
    • A focus group study on breast cancer risk presentation: one format does not fit all.
    • Dorval M, Bouchard K, Chiquette J, Glendon G, Maugard CM, Dubuisson W, Panchal S, Simard J.
    • Eur J Hum Genet. 2013 Jul;21(7):719-24. doi: 10.1038/ejhg.2012.248. Epub 2012 Nov 21.
    • Risk Prediction for Breast, Endometrial, and Ovarian Cancer in White Women Aged 50 y or Older: Derivation and Validation from Population-Based Cohort Studies.
    • Pfeiffer RM, Park Y, Kreimer AR, Lacey JV Jr, Pee D, Greenlee RT, Buys SS, Hollenbeck A, Rosner B, Gail MH, Hartge P.
    • PLoS Med. 2013 Jul;10(7):e1001492. doi: 10.1371/journal.pmed.1001492. Epub 2013 Jul 30.

    Related:

    Comment:

    Evaluation of prediction models for decision-making: beyond calibration and discrimination.

    Research News: Risk prediction. (Nature Reviews Cancer)

    • Development and evaluation of a brief self-completed family history screening tool for common chronic disease prevention in primary care.
    • Walter FM, Prevost AT, Birt L, Grehan N, Restarick K, Morris HC, Sutton S, Rose P, Downing S, Emery JD.
    • Br J Gen Pract. 2013 Jun;63(611):e393-400. doi: 10.3399/bjgp13X668186.

    Related:

    Comment:

    [Are questions better than the glucose tolerance test?].

    Comment/Letter:

    Misreported family histories and underestimation of risk.

    • Incremental impact of breast cancer SNP panel on risk classification in a screening population of white and African American women.
    • McCarthy AM, Armstrong K, Handorf E, Boghossian L, Jones M, Chen J, Demeter MB, McGuire E, Conant EF, Domchek SM.
    • Breast Cancer Res Treat. 2013 Apr;138(3):889-98. doi: 10.1007/s10549-013-2471-8. Epub 2013 Mar 10.
    • Validation of a breast cancer risk prediction model developed for Black women.
    • Boggs DA, Rosenberg L, Pencina MJ, Adams-Campbell LL, Palmer JR.
    • J Natl Cancer Inst. 2013 Mar 6;105(5):361-7. doi: 10.1093/jnci/djt008. Epub 2013 Feb 14.
    • Recalibration of the Gail model for predicting invasive breast cancer risk in Spanish women: a population-based cohort study.
    • Pastor-Barriuso R, Ascunce N, Ederra M, Erdozáin N, Murillo A, Alés-Martínez JE, Pollán M.
    • Breast Cancer Res Treat. 2013 Feb;138(1):249-59. doi: 10.1007/s10549-013-2428-y. Epub 2013 Feb 3.
    • Which Risk Model to Use? Clinical Implications of the ACS MRI Screening Guidelines.
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    • Cancer Epidemiol Biomarkers Prev. 2013 Jan;22(1):146-9. doi: 10.1158/1055-9965.EPI-12-0570. Epub 2012 Oct 23.

    Related:

    Comments on NSGC Discussion Forum Cancer SIG

    Subject: Breast cancer risk models

    Subject: Tyrer-Cuzick model

    Subject: Percent of women "high-risk" for breast cancer

    • Breast MRI Use Uncommon among U.S. Women.
    • Miller JW, Sabatino SA, Thompson TD, Breen N, White MC, Ryerson AB, Taplin S, Ballard-Barbash R.
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    • Compliance with screening recommendations according to breast cancer risk levels in Izmir, Turkey.
    • Acikgoz A, Ergor G.
    • Asian Pac J Cancer Prev. 2013;14(3):1737-42.
    • Assessing risk of breast cancer in an ethnically South-East Asia population (results of a multiple ethnic groups study).
    • Gao F, Machin D, Chow KY, Sim YF, Duffy SW, Matchar DB, Goh CH, Chia KS.
    • BMC Cancer. 2012 Nov 19;12:529. doi: 10.1186/1471-2407-12-529.
    • Breast cancer risk assessment across the risk continuum: genetic and nongenetic risk factors contributing to differential model performance.
    • Quante AS, Whittemore AS, Shriver T, Strauch K, Terry MB.
    • Breast Cancer Res. 2012 Nov 5;14(6):R144. doi: 10.1186/bcr3352.
    • Legal liability and the uncertain nature of risk prediction: the case of breast cancer risk prediction models.
    • Black L, Knoppers BM, Avard D, Simard J.
    • Public Health Genomics. [2012 Nov;]15(6):335-40. doi: 10.1159/000342138. Epub 2012 Sep 12.
    • A multistage genetic association study identifies breast cancer risk loci at 10q25 and 16q24.
    • Higginbotham KS, Breyer JP, McReynolds KM, Bradley KM, Schuyler PA, Plummer WD, Freudenthal ME, Trentham-Dietz A, Newcomb PA, Parl FF, Sanders ME, Page DL, Egan KM, Dupont WD, Smith JR.
    • Cancer Epidemiol Biomarkers Prev. 2012 Sep;21(9):1565-73. doi: 10.1158/1055-9965.EPI-12-0386. Epub 2012 Jul 17.
    • Prediction of breast cancer risk by genetic risk factors, overall and by hormone receptor status.
    • Hüsing A, Canzian F, Beckmann L, Garcia-Closas M, Diver WR, Thun MJ, Berg CD, Hoover RN, Ziegler RG, Figueroa JD, Isaacs C, Olsen A, Viallon V, Boeing H, Masala G, Trichopoulos D, Peeters PH, Lund E, Ardanaz E, Khaw KT, Lenner P, Kolonel LN, Stram DO, Le Marchand L, McCarty CA, Buring JE, Lee IM, Zhang S, Lindström S, Hankinson SE, Riboli E, Hunter DJ, Henderson BE, Chanock SJ, Haiman CA, Kraft P, Kaaks R; BPC3.
    • J Med Genet. 2012 Sep;49(9):601-8. doi: 10.1136/jmedgenet-2011-100716.

    Related:

    Free text: Prediction of Breast Cancer Risk by Genetic Risk Factors, Overall and by Hormone Receptor Status. (Medscape)

    • Assessing individual breast cancer risk within the U.K. National Health Service Breast Screening Program: a new paradigm for cancer prevention.
    • Evans DG, Warwick J, Astley SM, Stavrinos P, Sahin S, Ingham S, McBurney H, Eckersley B, Harvie M, Wilson M, Beetles U, Warren R, Hufton A, Sergeant JC, Newman WG, Buchan I, Cuzick J, Howell A.
    • Cancer Prev Res (Phila). 2012 Jul;5(7):943-51. doi: 10.1158/1940-6207.CAPR-11-0458. Epub 2012 May 11.
    • Risk prediction models of breast cancer: a systematic review of model performances.
    • Anothaisintawee T, Teerawattananon Y, Wiratkapun C, Kasamesup V, Thakkinstian A.
    • Breast Cancer Res Treat. 2012 May;133(1):1-10. doi: 10.1007/s10549-011-1853-z. Epub 2011 Nov 11.
    • Review
    • The power of DNA double-strand break (DSB) repair testing to predict breast cancer susceptibility.
    • Keimling M, Deniz M, Varga D, Stahl A, Schrezenmeier H, Kreienberg R, Hoffmann I, König J, Wiesmüller L.
    • FASEB J. 2012 May;26(5):2094-104. doi: 10.1096/fj.11-200790. Epub 2012 Jan 25.
    • Prevention of breast cancer in the context of a national breast screening programme.
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    • J Intern Med. 2012 Apr;271(4):321-30. doi: 10.1111/j.1365-2796.2012.02525.x.
    • Evaluation of the BOADICEA risk assessment model in women with a family history of breast cancer.
    • Ståhlbom AK, Johansson H, Liljegren A, von Wachenfeldt A, Arver B.
    • Fam Cancer. 2012 Mar;11(1):33-40. doi: 10.1007/s10689-011-9495-1.
    • Breast cancer risk prediction and individualised screening based on common genetic variation and breast density measurement.
    • Darabi H, Czene K, Zhao W, Liu J, Hall P, Humphreys K.
    • Breast Cancer Res. 2012 Feb 7;14(1):R25.
    • Evaluating breast cancer risk projections for Hispanic women.
    • Banegas MP, Gail MH, LaCroix A, Thompson B, Martinez ME, Wactawski-Wende J, John EM, Hubbell FA, Yasmeen S, Katki HA.
    • Breast Cancer Res Treat. 2012 Feb;132(1):347-53. doi: 10.1007/s10549-011-1900-9. Epub 2011 Dec 7.
    • Validation of the Gail model for predicting individual breast cancer risk in a prospective nationwide study of 28,104 Singapore women.
    • Chay WY, Ong WS, Tan PH, Jie Leo NQ, Ho GH, Wong CS, Chia KS, Chow KY, Tan M Sr, Ang P Sr.
    • Breast Cancer Res. 2012 Jan 30;14(1):R19.
    • Breast cancer risk assessment in 64,659 women at a single high-volume mammography clinic.
    • Brinton JT, Barke LD, Freivogel ME, Jackson S, O'Donnell CI, Glueck DH.
    • Acad Radiol. 2012 Jan;19(1):95-9. doi: 10.1016/j.acra.2011.09.003. Epub 2011 Nov 3.
    • Risk of developing breast cancer by utilizing Gail model.
    • Seyednoori T, Pakseresht S, Roushan Z.
    • Women Health. 2012;52(4):391-402. doi: 10.1080/03630242.2012.678476.