Journal article
Patterns of Associations with Epidemiologic Factors by High-Grade Serous Ovarian Cancer Gene Expression Subtypes
LJ Collin, KL Cushing-Haugen, KL Terry, EL Goode, AH Wu, HR Harris, N Sasamoto, DW Cramer, F Modugno, E Elishaev, Z Fu, KB Moysich, PA Fasching, CL Pearce, U Menon, A Gentry-Maharaj, SA Gayther, N Wentzensen, MT Goodman, J George Show all
Cancer Epidemiology Biomarkers and Prevention | Published : 2025
Abstract
Background: Ovarian high-grade serous carcinomas (HGSC) comprise four distinct molecular subtypes based on mRNA expression patterns, with differential survival. Understanding risk factor associations is important to elucidate the etiology of HGSC. We investigated associations between different epidemiologic risk factors and HGSC molecular subtypes. Methods: We pooled data from 11 case-control studies with epidemiologic and tumor gene expression data from custom NanoString CodeSets developed through a collaboration within the Ovarian Tumor Tissue Analysis consortium. The PrOTYPEvalidated NanoString-based 55-gene classifier was used to assign HGSC gene expression subtypes. We examined associat..
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Grants
Awarded by Michael Smith Health Research BC