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

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

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    • Comprehensive epithelial tubo-ovarian cancer risk prediction model incorporating genetic and epidemiological risk factors.
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    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.
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    Toward Using Breast Cancer Risk Prediction Models for Guiding Screening Decisions.

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    Original research:

    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.
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    • Calibration of polygenic risk scores is required prior to clinical implementation: results of three common cancers in UKB.
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    • The DNA methylome of cervical cells can predict the presence of ovarian cancer.
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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.
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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?
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    • Prospective evaluation of a breast-cancer risk model integrating classical risk factors and polygenic risk in 15 cohorts from six countries.
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    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.
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    • Validation of Breast Cancer Risk Models by Race/Ethnicity, Family History and Molecular Subtypes.
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    • Familial Breast Cancer: Disease Related Gene Mutations and Screening Strategies for Chinese Population.
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    Editorial: Familial Cancer in China: From Detection to Screening and Management.

    • A Validated Risk Prediction Model for Breast Cancer in US Black Women.
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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.
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    • Information needs on breast cancer genetic and non-genetic risk factors in relatives of women with a BRCA1/2 or PALB2 pathogenic variant.
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    • A risk prediction tool for individuals with a family history of breast, ovarian, or pancreatic cancer: BRCAPANCPRO.
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    • Utilization of breast cancer risk prediction models by cancer genetic counselors in clinical practice predominantly in the United States.
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    • 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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    • A Review of Breast Cancer Risk Factors in Adolescents and Young Adults.
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    • Potential of polygenic risk scores for improving population estimates of women's breast cancer genetic risks.
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    • Assessment of the Risk of Breast Cancer Development Applying NCI Tool among Iraqi Women.
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    • Communicating polygenic risk scores in the familial breast cancer clinic.
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    • Exploring Implementation of Personal Breast Cancer Risk Assessments.
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    • 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.
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    • 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.
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    • Combination of a 15-SNP Polygenic Risk Score and Classical Risk Factors for the Prediction of Breast Cancer Risk in Cypriot Women.
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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.
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    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.
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    • 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.
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    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)

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    Original research:

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

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    Letter, Commentary:

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

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    Identifying Preferred Breast Cancer Risk Predictors: A Holistic Perspective.

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

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

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

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    • A regional population-based hereditary breast cancer screening tool in Italy: First 5-year results.
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    • Survey of primary care physicians' views about breast and ovarian cancer screening for true BRCA1/2 non-carriers.
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    • Uptake of Risk Appropriate Behaviors After Breast Cancer Risk Stratification in the Mammography Screening Population.
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    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.
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    • Evaluating clinician acceptability of the prototype CanRisk tool for predicting risk of breast and ovarian cancer: A multi-methods study.
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    • Breast cancer risk assessment in patients who test negative for a hereditary cancer syndrome.
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    • Am J Surg. 2020 Mar;219(3):430-433. doi: 10.1016/j.amjsurg.2019.10.015. Epub 2019 Oct 11.

    Commentary, Presentation:

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

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    • Risk Assessment, Genetic Counseling, and Genetic Testing for BRCA-Related Cancer: Recommendation Statement.
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    • Am Fam Physician. 2020 Feb 15;101(4):233-238.

    CME Activity:

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

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    • Polygenic background modifies penetrance of monogenic variants conferring risk for coronary artery disease, breast cancer, or colorectal cancer.
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    Press: Polygenic Modifiers of Pathogenic Genes May Refine Disease Risk Prediction. (GenomeWeb)

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    Choosing Breast Cancer Risk Models: Importance of Independent Validation.

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    • 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.
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    • Predictors of mammographic density among women with a strong family history of breast cancer.
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    • Machine learning techniques for personalized breast cancer risk prediction: comparison with the BCRAT and BOADICEA models.
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    • Breast Cancer Res. 2019 Jun 20;21(1):75. doi: 10.1186/s13058-019-1158-4.


    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.

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    • Breast Cancer Res. 2019 May 22;21(1):68. doi: 10.1186/s13058-019-1138-8.
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    • Comparison of questionnaire-based breast cancer prediction models in the Nurses' Health Study.
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    • Hereditary Breast Cancer Risk Analysis in Uninsured Mexican-Origin Women Living in the U.S.-Mexico Border Region.
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    Assessment of breast cancer risk: which tools to use?

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    Letter, Commentary:

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


    Personalised medicine and population health: breast and ovarian cancer.

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    • JAMA Oncol. 2019 Jan 1;5(1):110-111. doi: 10.1001/jamaoncol.2018.5058.
    • Letter, Comment

    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.
    • Fantus RJ, Helfand BT.
    • Clin Chem. 2019 Jan;65(1):74-79. doi: 10.1373/clinchem.2018.286658. Epub 2018 Nov 20.
    • Evaluating and improving the implementation of a community-based hereditary cancer screening program.
    • Greenberg S, Yashar BM, Pearlman M, Duquette D, Milliron K, Marvin M.
    • J Community Genet. 2019 Jan;10(1):51-60. doi: 10.1007/s12687-018-0357-5. Epub 2018 Mar 5.
    • Clinicians' use of breast cancer risk assessment tools according to their perceived importance of breast cancer risk factors: an international survey.
    • Brédart A, Kop JL, Antoniou AC, Cunningham AP, De Pauw A, Tischkowitz M, Ehrencrona H, Schmidt MK, Dolbeault S, Rhiem K, Easton DF, Devilee P, Stoppa-Lyonnet D, Schmutlzer R.
    • J Community Genet. 2019 Jan;10(1):61-71. doi: 10.1007/s12687-018-0362-8. Epub 2018 Mar 5.
    • Prospective validation of the NCI Breast Cancer Risk Assessment Tool (Gail Model) on 40,000 Australian women.
    • Nickson C, Procopio P, Velentzis LS, Carr S, Devereux L, Mann GB, James P, Lee G, Wellard C, Campbell I.
    • Breast Cancer Res. 2018 Dec 20;20(1):155. doi: 10.1186/s13058-018-1084-x.

    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

    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.
    • Lo LL, Collins IM, Bressel M, Butow P, Emery J, Keogh L, Weideman P, Steel E, Hopper JL, Trainer AH, Mann GB, Bickerstaffe A, Antoniou AC, Cuzick J, Phillips KA.
    • 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.
    • Esplen MJ, Leszcz M, Hunter J, Wong J, Leung YW, Toner B, Messner S, Glendon G, Stuckless N, Butler C.
    • Psychooncology. 2018 Nov;27(11):2645-2653. doi: 10.1002/pon.4822. Epub 2018 Jul 17.
    • 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

    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.
    • Brentnall AR, Cuzick J, Buist DSM, Bowles EJA.
    • JAMA Oncol. 2018 Sep 1;4(9):e180174. doi: 10.1001/jamaoncol.2018.0174. Epub 2018 Sep 13.

    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.
    • Gail MH, Pfeiffer RM.
    • J Natl Cancer Inst. 2018 Sep 1;110(9):994-1002. doi: 10.1093/jnci/djy013.
    • Accuracy of Risk Prediction Models for Breast Cancer and BRCA1/BRCA2 Mutation Carrier Probabilities in Israel.
    • Kenan ES, Friger M, Shochat-Bigon D, Schayek H, Bernstein-Molho R, Friedman E.
    • Anticancer Res. 2018 Aug;38(8):4557-4563. doi: 10.21873/anticanres.12760.
    • The Pink Underside: The Commercialization of Medical Risk Assessment and Decision-Making Tools for Hereditary Breast Cancer Risk.
    • Hesse-Biber S, Flynn B, Farrelly K.
    • Qual Health Res. 2018 Aug;28(10):1523-1538. doi: 10.1177/1049732318767395. Epub 2018 Apr 11.
    • The impact of patient age on breast cancer risk prediction models.
    • Coopey SB, Acar A, Griffin M, Cintolo-Gonzalez J, Semine A, Hughes KS.
    • Breast J. 2018 Jul;24(4):592-598. doi: 10.1111/tbj.12976. Epub 2018 Jan 8.
    • Development of a Breast Cancer Risk Prediction Model for Women in Nigeria.
    • Wang S, Ogundiran T, Ademola A, Olayiwola OA, Adeoye A, Sofoluwe A, Morhason-Bello I, Odedina S, Agwai I, Adebamowo C, Obajimi M, Ojengbede O, Olopade OI, Huo D.
    • 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.
    • van Veen EM, Brentnall AR, Byers H, Harkness EF, Astley SM, Sampson S, Howell A, Newman WG, Cuzick J, Evans DGR.
    • JAMA Oncol. 2018 Apr 1;4(4):476-482. doi: 10.1001/jamaoncol.2017.4881.

    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.
    • Littlejohn LA, Gibbs J, Jordan LB, Miedzybrodzka ZH, Bell C, Goudie D, Dunlop J, Berg JN.
    • Eur J Hum Genet. 2018 Apr;26(4):599-603. doi: 10.1038/s41431-017-0072-4. Epub 2018 Jan 15.
    • Common Genetic Variation and Breast Cancer Risk-Past, Present, and Future.
    • Lilyquist J, Ruddy KJ, Vachon CM, Couch FJ.
    • Cancer Epidemiol Biomarkers Prev. 2018 Apr;27(4):380-394. doi: 10.1158/1055-9965.EPI-17-1144. Epub 2018 Jan 30.
    • 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.
    • Assessment of performance of the Gail model for predicting breast cancer risk: a systematic review and meta-analysis with trial sequential analysiss
    • Wang X, Huang Y, Li L, Dai H, Song F, Chen K.
    • Breast Cancer Res. 2018 Mar 13;20(1):18. doi: 10.1186/s13058-018-0947-5.
    • Molecular-genetic models for prognosis of development of tumors of reproductive system in women with family history of cancer.
    • Paliychuk OV, Polishchuk LZ, Rossokha ZI, Chekhun VF.
    • Exp Oncol. 2018 Mar;40(1):59-67.
    • Patient-Centered Care in Breast Cancer Genetic Clinics.
    • Brédart A, Anota A, Dick J, Kuboth V, Lareyre O, De Pauw A, Cano A, Stoppa-Lyonnet D, Schmutzler R, Dolbeault S, Kop JL.
    • Int J Environ Res Public Health. 2018 Feb 12;15(2). pii: E319. doi: 10.3390/ijerph15020319.
    • Genetics of Breast and Gynecologic Cancers (PDQ®): Health Professional Version. Introduction. Models for Prediction of Breast and Gynecologic Cancer Risk.
    • PDQ Cancer Genetics Editorial Board.
    • PDQ Cancer Information Summaries [Internet]. Bethesda, MD: National Cancer Institute. Updated 2017 Nov 30. Accessed 2017 Dec 8.
    • A qualitative study on Singaporean women's views towards breast cancer screening and Single Nucleotide Polymorphisms (SNPs) gene testing to guide personalised screening strategies.
    • Wong XY, Chong KJ, van Til JA, Wee HL.
    • BMC Cancer. 2017 Nov 21;17(1):776. doi: 10.1186/s12885-017-3781-8.
    • Screening for familial cancer risk: Focus on breast cancer.
    • Rousset-Jablonski C, Gompel A.
    • Maturitas. 2017 Nov;105:69-77. doi: 10.1016/j.maturitas.2017.08.004. Epub 2017 Aug 7.
    • Review
    • Deep learning in breast cancer risk assessment: evaluation of convolutional neural networks on a clinical dataset of full-field digital mammograms.
    • Li H, Giger ML, Huynh BQ, Antropova NO.
    • J Med Imaging (Bellingham). 2017 Oct;4(4):041304. doi: 10.1117/1.JMI.4.4.041304. Epub 2017 Sep 13.
    • Contralateral Prophylactic Mastectomy.
    • Ramaswami R, Morrow M, Jagsi R.
    • N Engl J Med. 2017 Sep 28;377(13):1288-1291. doi: 10.1056/NEJMclde1708293.
    • Added Value of Serum Hormone Measurements in Risk Prediction Models for Breast Cancer for Women Not Using Exogenous Hormones: Results from the EPIC Cohort.
    • Husing A, Fortner RT, Kuhn T, Overvad K, Tjonneland A, Olsen A, Boutron-Ruault MC, Severi G, Fournier A, Boeing H, Trichopoulou A, Benetou V, Orfanos P, Masala G, Pala V, Tumino R, Fasanelli F, Panico S, Bueno-de-Mesquita HB, Peeters P, van Gils CH, Quiros JR, Agudo A, Sanchez MJ, Chirlaque MD, Barricarte A, Amiano P, Khaw KT, Travis RC, Dossus L, Li K, Ferrari P, Merritt MA, Tzoulaki I, Riboli E, Kaaks R.
    • Clin Cancer Res. 2017 Aug 1;23(15):4181-4189. doi: 10.1158/1078-0432.CCR-16-3011. Epub 2017 Feb 28.
    • Family history and risk of breast cancer: an analysis accounting for family structure.
    • Brewer HR, Jones ME, Schoemaker MJ, Ashworth A, Swerdlow AJ.
    • Breast Cancer Res Treat. 2017 Aug;165(1):193-200. doi: 10.1007/s10549-017-4325-2. Epub 2017 Jun 3.
    • 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.


    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


    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.

    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.

    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.


    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.


    BRCA2 functions: from DNA repair to replication fork stabilization.


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


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


    Pancreatic ductal adenocarcinoma in BRCA2 mutation carriers.


    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.

    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.
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    • Breast Cancer Res Treat. 2015 Nov;154(1):191-9.
    • A model for estimating ovarian cancer risk: Application for preventive oophorectomy.
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    • 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.
    • 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.
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    • 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.

    Comments on NSGC Discussion Forum Cancer SIG

    Subject: BREVAGenplus- what is it?


    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.

    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.


    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.

    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.
    • J Womens Health (Larchmt). 2014 May;23(5):434-6. doi: 10.1089/jwh.2014.4761. Epub 2014 Apr 7.
    • Calls for more personalised breast cancer screening.
    • Philippa Brice.
    • PHG Foundation, 2014 Mar 24.

    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.
    • Wu YY, Yen MF, Yu CP, Chen HH.
    • 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.
    • Folse HJ, Green LE, Kress A, Allman R, Dinh TA.
    • Cancer Prev Res (Phila). 2013 Dec;6(12):1328-36. doi: 10.1158/1940-6207.CAPR-13-0056.


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


    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.


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


    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.
    • Ozanne EM, Drohan B, Bosinoff P, Semine A, Jellinek M, Cronin C, Millham F, Dowd D, Rourke T, Block C, Hughes KS.
    • Cancer Epidemiol Biomarkers Prev. 2013 Jan;22(1):146-9. doi: 10.1158/1055-9965.EPI-12-0570. Epub 2012 Oct 23.

    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.
    • Cancer Epidemiol Biomarkers Prev. 2013 Jan;22(1):159-66. doi: 10.1158/1055-9965.EPI-12-0967. Epub 2012 Nov 15.
    • 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.

    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.
    • Howell A, Astley S, Warwick J, Stavrinos P, Sahin S, Ingham S, McBurney H, Eckersley B, Harvie M, Wilson M, Beetles U, Warren R, Hufton A, Sergeant J, Newman W, Buchan I, Cuzick J, Evans DG.
    • 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.