BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

234 related articles for article (PubMed ID: 26677205)

  • 1. 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. PubMed ID: 26677205
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 10-year performance of four models of breast cancer risk: a validation study.
    Terry MB; Liao Y; Whittemore AS; Leoce N; Buchsbaum R; Zeinomar N; Dite GS; Chung WK; Knight JA; Southey MC; Milne RL; Goldgar D; Giles GG; McLachlan SA; Friedlander ML; Weideman PC; Glendon G; Nesci S; Andrulis IL; John EM; Phillips KA; Daly MB; Buys SS; Hopper JL; MacInnis RJ
    Lancet Oncol; 2019 Apr; 20(4):504-517. PubMed ID: 30799262
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Evaluating the performance of the breast cancer genetic risk models BOADICEA, IBIS, BRCAPRO and Claus for predicting BRCA1/2 mutation carrier probabilities: a study based on 7352 families from the German Hereditary Breast and Ovarian Cancer Consortium.
    Fischer C; Kuchenbäcker K; Engel C; Zachariae S; Rhiem K; Meindl A; Rahner N; Dikow N; Plendl H; Debatin I; Grimm T; Gadzicki D; Flöttmann R; Horvath J; Schröck E; Stock F; Schäfer D; Schwaab I; Kartsonaki C; Mavaddat N; Schlegelberger B; Antoniou AC; Schmutzler R;
    J Med Genet; 2013 Jun; 50(6):360-7. PubMed ID: 23564750
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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. PubMed ID: 26589314
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Using SNP genotypes to improve the discrimination of a simple breast cancer risk prediction model.
    Dite GS; Mahmoodi M; Bickerstaffe A; Hammet F; Macinnis RJ; Tsimiklis H; Dowty JG; Apicella C; Phillips KA; Giles GG; Southey MC; Hopper JL
    Breast Cancer Res Treat; 2013 Jun; 139(3):887-96. PubMed ID: 23774992
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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; 14(6):R144. PubMed ID: 23127309
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Assessment of clinical validity of a breast cancer risk model combining genetic and clinical information.
    Mealiffe ME; Stokowski RP; Rhees BK; Prentice RL; Pettinger M; Hinds DA
    J Natl Cancer Inst; 2010 Nov; 102(21):1618-27. PubMed ID: 20956782
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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 Jul; 107(7):. PubMed ID: 25956172
    [TBL] [Abstract][Full Text] [Related]  

  • 9. BRCA1 and BRCA2 mutation predictions using the BOADICEA and BRCAPRO models and penetrance estimation in high-risk French-Canadian families.
    Antoniou AC; Durocher F; Smith P; Simard J; Easton DF;
    Breast Cancer Res; 2006; 8(1):R3. PubMed ID: 16417652
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting the likelihood of carrying a BRCA1 or BRCA2 mutation: validation of BOADICEA, BRCAPRO, IBIS, Myriad and the Manchester scoring system using data from UK genetics clinics.
    Antoniou AC; Hardy R; Walker L; Evans DG; Shenton A; Eeles R; Shanley S; Pichert G; Izatt L; Rose S; Douglas F; Eccles D; Morrison PJ; Scott J; Zimmern RL; Easton DF; Pharoah PD
    J Med Genet; 2008 Jul; 45(7):425-31. PubMed ID: 18413374
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Accuracy of Risk Prediction Models for Breast Cancer and
    Kenan ES; Friger M; Shochat-Bigon D; Schayek H; Bernstein-Molho R; Friedman E
    Anticancer Res; 2018 Aug; 38(8):4557-4563. PubMed ID: 30061222
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Validation of a genetic risk score for Arkansas women of color.
    Starlard-Davenport A; Allman R; Dite GS; Hopper JL; Spaeth Tuff E; Macleod S; Kadlubar S; Preston M; Henry-Tillman R
    PLoS One; 2018; 13(10):e0204834. PubMed ID: 30281645
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Validation of breast cancer risk assessment tools on a French-Canadian population-based cohort.
    Jantzen R; Payette Y; de Malliard T; Labbé C; Noisel N; Broët P
    BMJ Open; 2021 Apr; 11(4):e045078. PubMed ID: 33846154
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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; 109(5):1296-301. PubMed ID: 23942072
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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. PubMed ID: 28216418
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Assessing the added value of breast tumor markers in genetic risk prediction model BRCAPRO.
    Biswas S; Tankhiwale N; Blackford A; Barrera AM; Ready K; Lu K; Amos CI; Parmigiani G; Arun B
    Breast Cancer Res Treat; 2012 May; 133(1):347-55. PubMed ID: 22270937
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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; ; Newman WG; Cuzick J
    J Med Genet; 2017 Feb; 54(2):111-113. PubMed ID: 27794048
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Evaluating BRCA mutation risk predictive models in a Chinese cohort in Taiwan.
    Hung FH; Wang YA; Jian JW; Peng HP; Hsieh LL; Hung CF; Yang MM; Yang AS
    Sci Rep; 2019 Jul; 9(1):10229. PubMed ID: 31308460
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Performance of BRCA1/2 mutation prediction models in male breast cancer patients.
    Moghadasi S; Grundeken V; Janssen LAM; Dijkstra NH; Rodríguez-Girondo M; van Zelst-Stams WAG; Oosterwijk JC; Ausems MGEM; Oldenburg RA; Adank MA; Blom EW; Ruijs MWG; van Os TAM; van Deurzen CHM; Martens JWM; Schroder CP; Wijnen JT; Vreeswijk MPG; van Asperen CJ
    Clin Genet; 2018 Jan; 93(1):52-59. PubMed ID: 28589637
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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; 17(1):1. PubMed ID: 25567532
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.