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Items: 1 to 20 of 457

1.

Premenopausal Obesity and Breast Cancer Growth Rates in a Rodent Model.

Matthews SB, McGinley JN, Neil ES, Thompson HJ.

Nutrients. 2016 Apr 11;8(4). pii: E214. doi: 10.3390/nu8040214.

2.

Profile of Breast Diseases in Post Pubertal Women Assessed By Clinical Breast Examination - A Community Based Study in Rural Pondicherry.

Janaki KL, Kannan NS, Palaniappan M, Nandi P.

J Clin Diagn Res. 2016 Feb;10(2):PC07-11. doi: 10.7860/JCDR/2016/17264.7276. Epub 2016 Feb 1.

3.

Depurinating estrogen-DNA adducts, generators of cancer initiation: their minimization leads to cancer prevention.

Cavalieri EL, Rogan EG.

Clin Transl Med. 2016 Mar;5(1):12. doi: 10.1186/s40169-016-0088-3. Epub 2016 Mar 15. Review.

4.

Understanding inherited genetic risk of adult glioma - a review.

Rice T, Lachance DH, Molinaro AM, Eckel-Passow JE, Walsh KM, Barnholtz-Sloan J, Ostrom QT, Francis SS, Wiemels J, Jenkins RB, Wiencke JK, Wrensch MR.

Neurooncol Pract. 2016 Mar;3(1):10-16. Epub 2015 Aug 25.

PMID:
26941959
5.

Unbiased Prediction and Feature Selection in High-Dimensional Survival Regression.

Laimighofer M, Krumsiek J, Buettner F, Theis FJ.

J Comput Biol. 2016 Apr;23(4):279-90. doi: 10.1089/cmb.2015.0192. Epub 2016 Feb 19.

6.

Affective forecasting and medication decision making in breast-cancer prevention.

Hoerger M, Scherer LD, Fagerlin A.

Health Psychol. 2016 Jun;35(6):594-603. doi: 10.1037/hea0000324. Epub 2016 Feb 11.

PMID:
26867042
7.

Multigene testing of moderate-risk genes: be mindful of the missense.

Young EL, Feng BJ, Stark AW, Damiola F, Durand G, Forey N, Francy TC, Gammon A, Kohlmann WK, Kaphingst KA, McKay-Chopin S, Nguyen-Dumont T, Oliver J, Paquette AM, Pertesi M, Robinot N, Rosenthal JS, Vallee M, Voegele C, Hopper JL, Southey MC, Andrulis IL, John EM, Hashibe M, Gertz J; Breast Cancer Family Registry, Le Calvez-Kelm F, Lesueur F, Goldgar DE, Tavtigian SV.

J Med Genet. 2016 Jun;53(6):366-76. doi: 10.1136/jmedgenet-2015-103398. Epub 2016 Jan 19.

8.

Risk Stratification and Shared Decision Making for Colorectal Cancer Screening: A Randomized Controlled Trial.

Schroy PC 3rd, Duhovic E, Chen CA, Heeren TC, Lopez W, Apodaca DL, Wong JB.

Med Decis Making. 2016 May;36(4):526-35. doi: 10.1177/0272989X15625622. Epub 2016 Jan 19.

PMID:
26785715
9.

CYP24A1 variant modifies the association between use of oestrogen plus progestogen therapy and colorectal cancer risk.

Garcia-Albeniz X, Rudolph A, Hutter C, White E, Lin Y, Rosse SA, Figueiredo JC, Harrison TA, Jiao S, Brenner H, Casey G, Hudson TJ, Thornquist M, Le Marchand L, Potter J, Slattery ML, Zanke B, Baron JA, Caan BJ, Chanock SJ, Berndt SI, Stelling D, Fuchs CS, Hoffmeister M, Butterbach K, Du M, James Gauderman W, Gunter MJ, Lemire M, Ogino S, Lin J, Hayes RB, Haile RW, Schoen RE, Warnick GS, Jenkins MA, Thibodeau SN, Schumacher FR, Lindor NM, Kolonel LN, Hopper JL, Gong J, Seminara D, Pflugeisen BM, Ulrich CM, Qu C, Duggan D, Cotterchio M, Campbell PT, Carlson CS, Newcomb PA, Giovannucci E, Hsu L, Chan AT, Peters U, Chang-Claude J.

Br J Cancer. 2016 Jan 19;114(2):221-9. doi: 10.1038/bjc.2015.443. Epub 2016 Jan 14.

PMID:
26766742
10.

Exemestane Use in Postmenopausal Women at High Risk for Invasive Breast Cancer: Evaluating Biomarkers of Efficacy and Safety.

Gatti-Mays ME, Venzon D, Galbo CE, Singer A, Reynolds J, Makariou E, Kallakury B, Heckman-Stoddard BM, Korde L, Isaacs C, Warren R, Gallagher A, Eng-Wong J.

Cancer Prev Res (Phila). 2016 Mar;9(3):225-33. doi: 10.1158/1940-6207.CAPR-15-0269. Epub 2016 Jan 12.

PMID:
26758879
11.

Disparities in the use of screening magnetic resonance imaging of the breast in community practice by race, ethnicity, and socioeconomic status.

Haas JS, Hill DA, Wellman RD, Hubbard RA, Lee CI, Wernli KJ, Stout NK, Tosteson AN, Henderson LM, Alford-Teaster JA, Onega TL.

Cancer. 2016 Feb 15;122(4):611-7. doi: 10.1002/cncr.29805. Epub 2015 Dec 28.

PMID:
26709819
12.

Predictors of Non-Adherence to Breast Cancer Screening among Hospitalized Women.

Khaliq W, Aamar A, Wright SM.

PLoS One. 2015 Dec 28;10(12):e0145492. doi: 10.1371/journal.pone.0145492. eCollection 2015.

13.

Personalizing Aspirin Use for Targeted Breast Cancer Chemoprevention in Postmenopausal Women.

Bardia A, Keenan TE, Ebbert JO, Lazovich D, Wang AH, Vierkant RA, Olson JE, Vachon CM, Limburg PJ, Anderson KE, Cerhan JR.

Mayo Clin Proc. 2016 Jan;91(1):71-80. doi: 10.1016/j.mayocp.2015.10.018. Epub 2015 Dec 8.

PMID:
26678006
14.

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
15.

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.

16.

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.

17.

Symptoms and QOL as Predictors of Chemoprevention Adherence in NRG Oncology/NSABP Trial P-1.

Land SR, Walcott FL, Liu Q, Wickerham DL, Costantino JP, Ganz PA.

J Natl Cancer Inst. 2015 Nov 27;108(4). pii: djv365. doi: 10.1093/jnci/djv365. Print 2016 Apr.

PMID:
26615179
18.

Correlates of misperception of breast cancer risk among Korean-American Women.

Kim J, Huh BY, Han HR.

Women Health. 2015 Nov 18:1-16. [Epub ahead of print]

PMID:
26580449
19.

Gene-expression patterns in peripheral blood classify familial breast cancer susceptibility.

Piccolo SR, Andrulis IL, Cohen AL, Conner T, Moos PJ, Spira AE, Buys SS, Johnson WE, Bild AH.

BMC Med Genomics. 2015 Nov 4;8:72. doi: 10.1186/s12920-015-0145-6.

20.

Comparing Mammography Abnormality Features to Genetic Variants in the Prediction of Breast Cancer in Women Recommended for Breast Biopsy.

Burnside ES, Liu J, Wu Y, Onitilo AA, McCarty CA, Page CD, Peissig PL, Trentham-Dietz A, Kitchner T, Fan J, Yuan M.

Acad Radiol. 2016 Jan;23(1):62-9. doi: 10.1016/j.acra.2015.09.007. Epub 2015 Oct 26.

PMID:
26514439
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