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Items: 1 to 20 of 89

1.

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.

J Natl Cancer Inst. 2019 Jun 4. pii: djz113. doi: 10.1093/jnci/djz113. [Epub ahead of print]

PMID:
31165158
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. doi: 10.1016/S1470-2045(18)30902-1. Epub 2019 Feb 21.

PMID:
30799262
3.

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.

4.

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.

5.

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.

6.

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.

PMID:
24461459
7.

Projecting Individualized Absolute Invasive Breast Cancer Risk in US Hispanic Women.

Banegas MP, John EM, Slattery ML, Gomez SL, Yu M, LaCroix AZ, Pee D, Chlebowski RT, Hines LM, Thompson CA, Gail MH.

J Natl Cancer Inst. 2016 Dec 20;109(2). doi: 10.1093/jnci/djw215. Print 2017 Feb.

8.

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]

PMID:
31251818
9.

Projecting individualized absolute invasive breast cancer risk in Asian and Pacific Islander American women.

Matsuno RK, Costantino JP, Ziegler RG, Anderson GL, Li H, Pee D, Gail MH.

J Natl Cancer Inst. 2011 Jun 22;103(12):951-61. doi: 10.1093/jnci/djr154. Epub 2011 May 11.

10.

Breast cancer pathology and stage are better predicted by risk stratification models that include mammographic density and common genetic variants.

Evans DGR, Harkness EF, Brentnall AR, van Veen EM, Astley SM, Byers H, Sampson S, Southworth J, Stavrinos P, Howell SJ, Maxwell AJ, Howell A, Newman WG, Cuzick J.

Breast Cancer Res Treat. 2019 Jul;176(1):141-148. doi: 10.1007/s10549-019-05210-2. Epub 2019 Apr 2.

11.

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 Oct 3;13(10):e0204834. doi: 10.1371/journal.pone.0204834. eCollection 2018.

12.

Validation of the breast cancer surveillance consortium model of breast cancer risk.

Tice JA, Bissell MCS, Miglioretti DL, Gard CC, Rauscher GH, Dabbous FM, Kerlikowske K.

Breast Cancer Res Treat. 2019 Jun;175(2):519-523. doi: 10.1007/s10549-019-05167-2. Epub 2019 Feb 22.

PMID:
30796654
13.

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). doi: 10.1093/jnci/djv348. Print 2016 Mar.

14.

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.

15.

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.

16.

The risk of developing invasive breast cancer in Hispanic women : a look across Hispanic subgroups.

Banegas MP, Leng M, Graubard BI, Morales LS.

Cancer. 2013 Apr 1;119(7):1373-80. doi: 10.1002/cncr.27896. Epub 2012 Dec 7.

17.

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;10(7):e1001492. doi: 10.1371/journal.pmed.1001492. Epub 2013 Jul 30.

18.

Projecting absolute invasive breast cancer risk in white women with a model that includes mammographic density.

Chen J, Pee D, Ayyagari R, Graubard B, Schairer C, Byrne C, Benichou J, Gail MH.

J Natl Cancer Inst. 2006 Sep 6;98(17):1215-26.

PMID:
16954474
19.
20.

A clinical model for identifying the short-term risk of breast cancer.

Eriksson M, Czene K, Pawitan Y, Leifland K, Darabi H, Hall P.

Breast Cancer Res. 2017 Mar 14;19(1):29. doi: 10.1186/s13058-017-0820-y.

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