Study

Details

• Alternative Title:
  Breast Cancer Res Treat
• Personal Author:
  Slattery, Martha L. ; John, Esther M. ; Stern, Mariana C. ; Herrick, Jennifer ; Lundgreen, Abbie ; Giuliano, Anna R. ; Hines, Lisa ; Baumgartner, Kathy B. ; Torres-Mejia, Gabriela ; Wolff, Roger K.
• Description:
  Background
  
  Growth factors (GF) stimulate cell proliferation through binding to cell membrane receptors and are thought to be involved in cancer risk and survival.
  
  Methods
  
  We examined how genetic variation in epidermal growth factor (EGF), neuregulin 2 (NRG2), ERBB2 (HER2/neu), fibroblast growth factors 1 and 2 (FGF1 and FGF2) and its receptor 2 (FGFR2), and platelet derived growth factor B (PDGFB) independently and collectively influence breast cancer risk and survival. We analyzed data from the Breast Cancer Health Disparities Study which includes Hispanic (2111 cases, 2597 controls) and non-Hispanic white (NHW) (1481 cases, 1586 controls) women. Adaptive Rank Truncated Product (ARTP) analysis was conducted to determine gene significance. Odds ratios (OR) and 95% confidence intervals were obtained from conditional logistic regression models to estimate breast cancer risk and Cox Proportional Hazard models were used to estimate hazard ratios (HR) of dying from breast cancer. We assessed Native American (NA) ancestry using 104 Ancestry Informative Markers.
  
  Results
  
  We observed few significant associations with breast cancer risk overall or by menopausal status other than for FGFR2 rs2981582. This SNP was significantly associated with ER+/PR+ (OR 1.66 95% CI 1.37, 2.00) and ER+/PR- (OR 1.54 95% CI 1.03, 2.31) tumors. Multiple SNPs in FGF1, FGF2, and NRG2 significantly interacted with multiple SNPs in EGFR, ERBB2, FGFR2, and PDGFB, suggesting that breast cancer risk is dependent on the collective effects of genetic variants in other GFs. Both FGF1 and ERBB2 significantly influenced overall survival, especially among women with low levels of NA ancestry (PARTP = 0.007 and 0.003, respectively).
  
  Conclusions
  
  Our findings suggest that genetic variants in growth factors signaling appear to influence breast cancer risk through their combined effects. Genetic variation in ERBB2 and FGF1 appear to be associated with survival after diagnosis with breast cancer.
  
  
• Subjects:
  Adult Aged Breast Neoplasms Case-Control Studies Epidermal Growth Factor Female Fibroblast Growth Factor 1 Fibroblast Growth Factor 2 Genes, ErbB-2 Genes, Sis Hispanic Or Latino Humans Indians, North American Intercellular Signaling Peptides And Proteins Middle Aged Nerve Growth Factors Polymorphism, Single Nucleotide Receptor, Fibroblast Growth Factor, Type 2 White People

  More +
• Source:
  Breast Cancer Res Treat. 140(3):587-601
• Pubmed ID:
  23912956
• Pubmed Central ID:
  PMC3860319
• Document Type:
  Journal Article
• Funding:
  CA77305/CA/NCI NIH HHSUnited States/ ; CA078682/CA/NCI NIH HHSUnited States/ ; R01 CA078552/CA/NCI NIH HHSUnited States/ ; HHSN261201000036C/CA/NCI NIH HHSUnited States/ ; R01 CA078762/CA/NCI NIH HHSUnited States/ ; 1U58 DP000807-01/DP/NCCDPHP CDC HHSUnited States/ ; R01 CA140002/CA/NCI NIH HHSUnited States/ ; R01 CA063446/CA/NCI NIH HHSUnited States/ ; CA078552/CA/NCI NIH HHSUnited States/ ; N01-PC-67000/PC/NCI NIH HHSUnited States/ ; CA078802/CA/NCI NIH HHSUnited States/ ; U58 DP000807/DP/NCCDPHP CDC HHSUnited States/ ; R01 CA078802/CA/NCI NIH HHSUnited States/ ; R01 CA078682/CA/NCI NIH HHSUnited States/ ; CA14002/CA/NCI NIH HHSUnited States/ ; CA078762/CA/NCI NIH HHSUnited States/
• Volume:
  140
• Issue:
  3
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:c0a3e9ac61551c1281200ed419b2bd0d60d6b955ef86ade68e20459025166062
• Download URL:
  https://stacks.cdc.gov/view/cdc/29804/cdc_29804_DS1.pdf
• File Type:
  [PDF - 853.48 KB ]