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Items: 1 to 20 of 91

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. doi: 10.1158/1055-9965.EPI-15-0838. Epub 2015 Dec 16.

PMID:
26677205
2.

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 R, 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 Dec.

3.

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.

4.

Mammographic Breast Density and Common Genetic Variants in Breast Cancer Risk Prediction.

Lee CP, Choi H, Soo KC, Tan MH, Chay WY, Chia KS, Liu J, Li J, Hartman M.

PLoS One. 2015 Sep 24;10(9):e0136650. doi: 10.1371/journal.pone.0136650. eCollection 2015.

6.

Breast Density and Benign Breast Disease: Risk Assessment to Identify Women at High Risk of Breast Cancer.

Tice JA, Miglioretti DL, Li CS, Vachon CM, Gard CC, Kerlikowske K.

J Clin Oncol. 2015 Oct 1;33(28):3137-43. doi: 10.1200/JCO.2015.60.8869. Epub 2015 Aug 17.

PMID:
26282663
7.

Risk Classification with an Adaptive Naive Bayes Kernel Machine Model.

Minnier J, Yuan M, Liu JS, Cai T.

J Am Stat Assoc. 2015 Apr 22;110(509):393-404.

8.

Can the breast screening appointment be used to provide risk assessment and prevention advice?

Evans DG, Howell A.

Breast Cancer Res. 2015 Jul 9;17:84. doi: 10.1186/s13058-015-0595-y.

9.

Inter-observer agreement according to three methods of evaluating mammographic density and parenchymal pattern in a case control study: impact on relative risk of breast cancer.

Winkel RR, von Euler-Chelpin M, Nielsen M, Diao P, Nielsen MB, Uldall WY, Vejborg I.

BMC Cancer. 2015 Apr 12;15:274. doi: 10.1186/s12885-015-1256-3.

10.

Associations between breast density and a panel of single nucleotide polymorphisms linked to breast cancer risk: a cohort study with digital mammography.

Keller BM, McCarthy AM, Chen J, Armstrong K, Conant EF, Domchek SM, Kontos D.

BMC Cancer. 2015 Mar 18;15:143. doi: 10.1186/s12885-015-1159-3.

11.

Twenty-five years of breast cancer risk models and their applications.

Gail MH.

J Natl Cancer Inst. 2015 Feb 26;107(5). pii: djv042. doi: 10.1093/jnci/djv042. Print 2015 May. No abstract available.

12.

JNCI and cancer prevention.

Dunn BK, Ghosh S, Kramer BS.

J Natl Cancer Inst. 2015 Feb 24;107(3). pii: djv021. doi: 10.1093/jnci/djv021. Print 2015 Mar.

13.

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.

14.

Polyacrylamide gels for invadopodia and traction force assays on cancer cells.

Jerrell RJ, Parekh A.

J Vis Exp. 2015 Jan 4;(95):52343. doi: 10.3791/52343.

15.

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.

16.

Emerging Concepts in Breast Cancer Risk Prediction.

Gierach GL, Yang XR, Figueroa JD, Sherman ME.

Curr Obstet Gynecol Rep. 2013 Mar;2(1):43-52.

17.

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. Review.

18.

Breast density measurements using ultrasound tomography for patients undergoing tamoxifen treatment.

Sak M, Duric N, Littrup P, Li C, Bey-Knight L, Sherman M, Boyd N, Gierach G.

Proc SPIE Int Soc Opt Eng. 2013 Mar 29;8675:86751E.

19.

Comparison of sound speed measurements on two different ultrasound tomography devices.

Sak M, Duric N, Littrup P, Bey-Knight L, Sherman M, Gierach G, Malyarenko A.

Proc SPIE Int Soc Opt Eng. 2014 Mar 20;9040:90400S.

20.

Mammographic breast density refines Tyrer-Cuzick estimates of breast cancer risk in high-risk women: findings from the placebo arm of the International Breast Cancer Intervention Study I.

Warwick J, Birke H, Stone J, Warren RM, Pinney E, Brentnall AR, Duffy SW, Howell A, Cuzick J.

Breast Cancer Res. 2014 Oct 8;16(5):451. doi: 10.1186/s13058-014-0451-5.

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