Assessment of breast cancer risk factors reveals subtype heterogeneity

Cancer Research

Volumn 77, Issue 13, 2017, Pages 3708-3717

  Holm, Johanna ^a   Eriksson, Louise ^a   Ploner, Alexander ^a   Eriksson, Mikael ^a   Rantalainen, Mattias ^a   Li, Jingmei ^a   Hall, Per ^a,b   Czene, Kamila ^a  

^a KAROLINSKA INSTITUTE   (Sweden)

^b STOCKHOLM SÖDER HOSPITAL   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

EPIDERMAL GROWTH FACTOR RECEPTOR 2; ESTROGEN RECEPTOR; PROGESTERONE RECEPTOR;

ADULT; AGE; AGED; ARTICLE; BREAST CANCER; BREAST DENSITY; BREAST FEEDING; CANCER RISK; CASE CONTROL STUDY; COHORT ANALYSIS; CONTROLLED STUDY; FAMILY HISTORY; FEMALE; GENE MUTATION; HORMONE SUBSTITUTION; HUMAN; MAJOR CLINICAL STUDY; MENARCHE; PARITY; PRIORITY JOURNAL; PROTEIN EXPRESSION; RISK ASSESSMENT; RISK FACTOR; SOMATOTYPE; SWEDEN; TUMOR SUPPRESSOR GENE; BREAST TUMOR; GENETICS; PATHOLOGY; TREATMENT OUTCOME;

BREAST NEOPLASMS; CASE-CONTROL STUDIES; FEMALE; HUMANS; RISK FACTORS; TREATMENT OUTCOME;

EID: 85021960274     PISSN: 00085472     EISSN: 15387445     Source Type: Journal    
DOI: 10.1158/0008-5472.CAN-16-2574     Document Type: Article

References (44)

1. Perou CM, Sørlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, et al. Molecular portraits of human breast tumours. Nature 2000;406:747-52.
2. Sorlie T, Tibshirani R, Parker J, Hastie T, Marron JS, Nobel A, et al. Repeated observation of breast tumor subtypes in independent gene expression data sets. Proc Natl Acad Sci 2003;100:8418-23.
3. Toft DJ, Cryns VL. Minireview: basal-like breast cancer: from molecular profiles to targeted therapies. Mol Endocrinol 2011;25:199-211.
4. Barnard ME, Boeke CE, Tamimi RM. Established breast cancer risk factors and risk of intrinsic tumor subtypes. Biochim Biophys Acta Rev Cancer 2015;1856:73-85.
5. Millikan RC, Newman B, Tse C-K, Moorman PG, Conway K, Dressler LG, et al. Epidemiology of basal-like breast cancer. Breast Cancer Res Treat 2008;109:123-39.
6. Kwan ML, Kushi LH, Weltzien E, Maring B, Kutner SE, Fulton RS, et al. Epidemiology of breast cancer subtypes in two prospective cohort studies of breast cancer survivors. Breast Cancer Res 2009;11:R31.
7. Redondo CM, Gago-Domínguez M, Ponte SM, Castelo ME, Jiang X, García AA, et al. Breast feeding, parity and breast cancer subtypes in a Spanish cohort. PLoS One 2012;7:e40543.
8. Shinde SS, Forman MR, Kuerer HM, Yan K, Peintinger F, Hunt KK, et al. Higher parity and shorter breastfeeding duration: association with triple-negative phenotype of breast cancer. Cancer 2010;116: 4933-43.
9. Brewster AM, Chavez-MacGregor M, Brown P. Epidemiology, biology, and treatment of triple-negative breast cancer in women of African ancestry. Lancet Oncol 2014;15:e625-34.
10. Boyle P. Triple-negative breast cancer: epidemiological considerations and recommendations. Ann Oncol 2012;23:vi7-12.
11. Palmer JR, Viscidi E, Troester MA, Hong CC, Schedin P, Bethea TN, et al. Parity, lactation, and breast cancer subtypes in African American women: results from the AMBER Consortium. J Natl Cancer Inst 2014;106: pii: dju237.
12. Trivers KF, Lund MJ, Porter PL, Liff JM, Flagg EW, Coates RJ, et al. The epidemiology of triple-negative breast cancer, including race. Cancer Causes Control 2009;20:1071-82.
13. Ambrosone CB, Zirpoli G, Ruszczyk M, Shankar J, Hong CC, McIlwain D, et al. Parity and breastfeeding among African-American women: differential effects on breast cancer risk by estrogen receptor status in the Women's Circle of Health Study. Cancer Causes Control 2014;25:259-65.
14. Bandera EV, Chandran U, Hong C-C, Troester MA, Bethea TN, Adams-Campbell LL, et al. Obesity, body fat distribution, and risk of breast cancer subtypes in African American women participating in the AMBER Consortium. Breast Cancer Res Treat 2015;150:655-6.
15. Holm J, Humphreys K, Li J, Ploner A, Cheddad A, Eriksson M, et al. Risk factors and tumor characteristics of interval cancers by mammographic density. J Clin Oncol 2015;33:1030-7.
16. Gabrielsson M, Eriksson M, Hammarström M, Borgquist S, Leifland K, Czene K et. al. Cohort profile: the Karolinska mammography project for risk prediction of breast cancer (KARMA). Int J Epidemiol. 2017 Feb 9. [Epub ahead of print].
17. Austin PC. A comparison of 12 algorithms for matching on the propensity score. Stat Med 2014;33:1057-69.
18. Li J, Szekely L, Eriksson L, Heddson B, Sundbom A, Czene K, et al. High-throughput mammographic-density measurement: a tool for risk prediction of breast cancer. Breast Cancer Res 2012;14:R114.
19. Michailidou K, Hall P, Gonzalez-Neira A, Ghoussaini M, Dennis J, Milne RL, et al. Large-scale genotyping identifies 41 new loci associated with breast cancer risk. Nat Genet 2013;45:353-61.
20. Mavaddat N, Pharoah PDP, Michailidou K, Tyrer J, Brook MN, Bolla MK, et al. Prediction of breast cancer risk based on profiling with common genetic variants. J Natl Cancer Inst 2015;107:pii: djv036.
21. Li J, Holm J, Bergh J, Eriksson M, Darabi H, Lindström LS, et al. Breastcancer genetic risk profile is differentially associated with interval and screen-detected breast cancers. Ann Oncol 2015;26:517-22.
22. Grabau D. KVAST Dokument Brösttumörer; 2014. Available from: http://svfp.se/files/docs/kvast/brostpatologi/Brostcancerdokument_godkant_ maj_2014.pdf.
23. Barlow L, Westergren K, Holmberg L, Talbäck M. The completeness of the Swedish Cancer Register: a sample survey for year 1998. Acta Oncol 2009; 48:27-33.
24. Emilsson L, Lindahl B, Köster M, Lambe M, Ludvigsson JF. Review of 103 Swedish healthcare quality registries. J Intern Med 2015;277:94–136.
25. Ludvigsson JF, Otterblad-Olausson P, Pettersson BU, Ekbom A. The Swedish personal identity number: possibilities and pitfalls in healthcare and medical research. Eur J Epidemiol 2009;24:659–67.
26. Kuhn M. Caret: classification and regression training. R Package version; 2015. Available from: http://cran.r-project.org/package=caret.
27. Wang M, Klevebring D, Lindberg J, Czene K, Grönberg H, Rantalainen M. Determining breast cancer histological grade from RNA-sequencing data. Breast Cancer Res 2016;18:48.
28. Goldhirsch A, Winer EP, Coates AS, Gelber RD, Piccart-Gebhart M, Thürlimann B, et al. Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the primary therapy of early breast cancer 2013. Ann Oncol 2013;24:2206–23.
29. R Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2015. Available from: https://www.r-project.org/.
30. Foulkes WD. BRCA1 functions as a breast stem cell regulator. J Med Genet 2004;41:1–5.
31. Burga LN, Tung NM, Troyan SL, Bostina M, Konstantinopoulos PA, Fountzilas H, et al. Altered proliferation and differentiation properties of primary mammary epithelial cells from BRCA1 mutation carriers. Cancer Res 2009;69:1273–8.
32. Furuta S, Jiang X, Gu B, Cheng E, Chen P-L, Lee W-H. Depletion of BRCA1 impairs differentiation but enhances proliferation of mammary epithelial cells. Proc Natl Acad Sci U S A 2005;102:9176–81.
33. Liu S, Ginestier C, Charafe-Jauffret E, Foco H, Kleer CG, Merajver SD, et al. BRCA1 regulates human mammary stem/progenitor cell fate. Proc Natl Acad Sci 2008;105:1680–5.
34. Molyneux G, Smalley MJ. The cell of origin of BRCA1 mutation-associated breast cancer: a cautionary tale of gene expression profiling. J Mammary Gland Biol Neoplasia 2011;16:51–5.
35. Lim E, Vaillant F, Wu D, Forrest NC, Pal B, Hart AH, et al. Aberrant luminal progenitors as the candidate target population for basal tumor development in BRCA1 mutation carriers. Nat Med 2009;15:907–13.
36. Figueroa JD, Garcia-Closas M, Humphreys M, Platte R, Hopper JL, Southey MC, et al. Associations of common variants at 1p11.2 and 14q24.1 (RAD51l1) with breast cancer risk and heterogeneity by tumor subtype: findings from the breast cancer association consortium. Hum Mol Genet 2011;20:4693–706.
37. Liang H, Yang X, Chen L, Li H, Zhu A, Sun M, et al. Heterogeneity of breast cancer associations with common genetic variants in FGFR2 according to the intrinsic subtypes in Southern han Chinese women. Biomed Res Int 2015;2015:626948.
38. O'Brien KM, Cole SR, Engel LS, Bensen JT, Poole C, Herring AH, et al. Breast cancer subtypes and previously established genetic risk factors: a Bayesian approach. Cancer Epidemiol Biomarkers Prev 2014;23:84–97.
39. Purrington KS, Slager S, Eccles D, Yannoukakos D, Fasching PA, Miron P, et al. Genome-wide association study identifies 25 known breast cancer susceptibility loci as risk factors for triple-negative breast cancer. Carcinogenesis 2014;35:1012–9.
40. Russo J, Moral R, Balogh GA, Mailo D, Russo IH. The protective role of pregnancy in breast cancer. Breast Cancer Res 2005;7:131–42.
41. Crowley WR. Neuroendocrine regulation of lactation and milk production. In:Comprehensive physiology. Hoboken, NJ: John Wiley & Sons, Inc.; 2014. p.255–91.
42. Liu F, Pawliwec A, Feng Z, Yasruel Z, Lebrun J-J, Ali S. Prolactin/Jak2 directs apical/basal polarization and luminal linage maturation of mammary epithelial cells through regulation of the Erk1/2 pathway. Stem Cell Res 2015;15:376–83.
43. Jernström H, Lubinski J, Lynch HT, Ghadirian P, Neuhausen S, Isaacs C, et al. Breast-feeding and the risk of breast cancer in BRCA1 and BRCA2 mutation carriers. J Natl Cancer Inst 2004;96:1094–8.
44. Gronwald J, Byrski T, Huzarski T, Cybulski C, Sun P, Tulman A, et al. Influence of selected lifestyle factors on breast and ovarian cancer risk in BRCA1 mutation carriers from Poland. Breast Cancer Res Treat 2006; 95:105–9.