Literature DB >> 32851454

The impact of selected risk factors among breast cancer molecular subtypes: a case-only study.

Margherita Pizzato1, Greta Carioli2, Stefano Rosso3, Roberto Zanetti3,4, Carlo La Vecchia1.   

Abstract

PURPOSE: Breast cancer (BC) risk factors have been differentially associated with BC subtypes, but quantification is still undefined. Therefore, we compared selected risk factors with BC subtypes, using a case-case approach.
METHODS: We retrieved 1321 invasive female BCs from the Piedmont Cancer Registry. Through record linkage of clinical records, we obtained data on estrogen (Er) and progesterone (Pr) receptors, Ki67 and HER2+ status, BC family history, breast imaging reporting and data system (BI-RADS) density, reproductive risk factors and education. We defined BC subtypes as follows : luminal A (Er+ and/or Pr+ , HER2- , low Ki67), luminal BH- (Er+ and/or Pr + , HER2- , Ki67 high), luminal BH+ (Er+ and/or Pr + , HER2+), HER2+ (Er - , Pr - , HER2+), ) and triple negative (Er - , Pr - , HER2-). Using a multinomial regression model, we estimated the odds ratios (ORs) for selected BC risk factors considering luminal A as reference.
RESULTS: For triple negative, the OR for BC family history was 1.83 (95% confidence interval (CI) 1.13-2.97). Compared to BI-RADS 1, for triple negative, the OR for BI-RADS 2 was 0.56 (95% CI 0.27-1.14) and for BI-RADS 3-4 was 0.37 (95% CI 0.15-0.88); for luminal BH +, the OR for BI-RADS 2 was 2.36 (95% CI 1.08-5.11). For triple negative, the OR for high education was 1.78 (95% CI 1.03-3.07), and for late menarche, the OR was 1.69 (95% CI 1.02-2.81). For luminal BH + , the OR for parous women was 0.56 (95% CI 0.34-0.92).
CONCLUSIONS: This study supported BC etiologic heterogeneity across subtypes, particularly for triple negative.

Entities:  

Keywords:  Breast cancer risk factors; Breast cancer subtypes; Molecular epidemiology; Triple negative; Tumour heterogeneity

Mesh:

Substances:

Year:  2020        PMID: 32851454     DOI: 10.1007/s10549-020-05820-1

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  1 in total

1.  Association of mammographic density measures and breast cancer "intrinsic" molecular subtypes.

Authors:  Geffen Kleinstern; Christopher G Scott; Rulla M Tamimi; Matthew R Jensen; V Shane Pankratz; Kimberly A Bertrand; Aaron D Norman; Daniel W Visscher; Fergus J Couch; Kathleen Brandt; John Shepherd; Fang-Fang Wu; Yunn-Yi Chen; Steven R Cummings; Stacey Winham; Karla Kerlikowske; Celine M Vachon
Journal:  Breast Cancer Res Treat       Date:  2021-01-04       Impact factor: 4.872

  1 in total

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