TY - JOUR
T1 - The association of modifiable breast cancer risk factors and somatic genomic alterations in breast tumors
T2 - The cancer genome atlas network
AU - Heng, Yujing J.
AU - Hankinson, Susan E.
AU - Wang, Jun
AU - Alexandrov, Ludmil B.
AU - Ambrosone, Christine B.
AU - de Andrade, Victor P.
AU - Brufsky, Adam M.
AU - Couch, Fergus J.
AU - King, Tari A.
AU - Modugno, Francesmary
AU - Vachon, Celine M.
AU - Heather Eliassen, A.
AU - Tamimi, Rulla M.
AU - Kraft, Peter
N1 - Funding Information:
F.J. Couch reports receiving a commercial research grant from GRAIL and speakers bureau honoraria from Qiagen. No potential conflicts of interest were disclosed by the other authors.
Funding Information:
Funding for this project was provided by the Klarman Family Foundation (to Y.J. Heng), University of Pittsburgh School of Medicine Dean's Faculty Advancement Award (to F. Modugno), Susan G. Komen SAC110014 (to S.E. Hankinson), and the NIH Support Grant P30 CA016056 to Roswell Park Comprehensive Cancer Center. The data used in this study were in whole or in part based on the data generated by the TCGA Research Network: http://cancergenome.nih.gov/. We thank the TCGA participants and staff at the University of Pittsburgh, Roswell Park Comprehensive Cancer Center, the Mayo Clinic, and Memorial Sloan Kettering Cancer Center.
Publisher Copyright:
© 2020 American Association for Cancer Research.
PY - 2020
Y1 - 2020
N2 - Background: The link between modifiable breast cancer risk factors and tumor genomic alterations remains largely unexplored. We evaluated the association of prediagnostic body mass index (BMI), cigarette smoking, and alcohol consumption with somatic copy number variation (SCNV), total somatic mutation burden (TSMB), seven single base substitution (SBS) signatures (SBS1, SBS2, SBS3, SBS5, SBS13, SBS29, and SBS30), and nine driver mutations (CDH1, GATA3, KMT2C, MAP2K4, MAP3K1, NCOR1, PIK3CA, RUNX1, and TP53) in a subset of The Cancer Genome Atlas (TCGA). Methods: Clinical and genomic data were retrieved from the TCGA database. Risk factor information was collected from four TCGA sites (n = 219 women), including BMI (1 year before diagnosis), cigarette smoking (smokers/nonsmokers), and alcohol consumption (current drinkers/nondrinkers). Multivariable regression analyses were conducted in all tumors and stratified according to estrogen receptor (ER) status. Results: Increasing BMI was associated with increasing SCNV in all women (P = 0.039) and among women with ER- tumors (P = 0.031). Smokers had higher SCNV and TSMB versus nonsmokers (P < 0.05 all women). Alcohol drinkers had higher SCNV versus nondrinkers (P < 0.05 all women and among women with ERþ tumors). SBS3 (defective homologous recombination-based repair) was exclusively found in alcohol drinkers with ER- disease. GATA3 mutation was more likely to occur in women with higher BMI. No association was significant after multiple testing correction. Conclusions: This study provides preliminary evidence that BMI, cigarette smoking, and alcohol consumption can influence breast tumor biology, in particular, DNA alterations. Impact: This study demonstrates a link between modifiable breast cancer risk factors and tumor genomic alterations.
AB - Background: The link between modifiable breast cancer risk factors and tumor genomic alterations remains largely unexplored. We evaluated the association of prediagnostic body mass index (BMI), cigarette smoking, and alcohol consumption with somatic copy number variation (SCNV), total somatic mutation burden (TSMB), seven single base substitution (SBS) signatures (SBS1, SBS2, SBS3, SBS5, SBS13, SBS29, and SBS30), and nine driver mutations (CDH1, GATA3, KMT2C, MAP2K4, MAP3K1, NCOR1, PIK3CA, RUNX1, and TP53) in a subset of The Cancer Genome Atlas (TCGA). Methods: Clinical and genomic data were retrieved from the TCGA database. Risk factor information was collected from four TCGA sites (n = 219 women), including BMI (1 year before diagnosis), cigarette smoking (smokers/nonsmokers), and alcohol consumption (current drinkers/nondrinkers). Multivariable regression analyses were conducted in all tumors and stratified according to estrogen receptor (ER) status. Results: Increasing BMI was associated with increasing SCNV in all women (P = 0.039) and among women with ER- tumors (P = 0.031). Smokers had higher SCNV and TSMB versus nonsmokers (P < 0.05 all women). Alcohol drinkers had higher SCNV versus nondrinkers (P < 0.05 all women and among women with ERþ tumors). SBS3 (defective homologous recombination-based repair) was exclusively found in alcohol drinkers with ER- disease. GATA3 mutation was more likely to occur in women with higher BMI. No association was significant after multiple testing correction. Conclusions: This study provides preliminary evidence that BMI, cigarette smoking, and alcohol consumption can influence breast tumor biology, in particular, DNA alterations. Impact: This study demonstrates a link between modifiable breast cancer risk factors and tumor genomic alterations.
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U2 - 10.1158/1055-9965.EPI-19-1087
DO - 10.1158/1055-9965.EPI-19-1087
M3 - Article
C2 - 31932411
AN - SCOPUS:85081086347
SN - 1055-9965
VL - 29
SP - 599
EP - 605
JO - Cancer Epidemiology Biomarkers and Prevention
JF - Cancer Epidemiology Biomarkers and Prevention
IS - 3
ER -