Risk Factors and Incidence of Colorectal Cancer According to Major Molecular Subtypes
Author(s) -
Liang Wang,
Xiaosheng He,
Tomotaka Ugai,
Koichiro Haruki,
ChunHan Lo,
Dong Hang,
Naohiko Akimoto,
Kenji Fujiyoshi,
Molin Wang,
Charles S. Fuchs,
Jeffrey A. Meyerhardt,
Xuehong Zhang,
Kana Wu,
Andrew T. Chan,
Edward L. Giovannucci,
Shuji Ogino,
Mingyang Song
Publication year - 2020
Publication title -
jnci cancer spectrum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.345
H-Index - 10
ISSN - 2515-5091
DOI - 10.1093/jncics/pkaa089
Subject(s) - kras , microsatellite instability , medicine , colorectal cancer , oncology , hazard ratio , proportional hazards model , cancer , incidence (geometry) , cancer research , biology , genetics , allele , gene , confidence interval , microsatellite , physics , optics
Background Colorectal cancer (CRC) is a heterogeneous disease that can develop via 3 major pathways: conventional, serrated, and alternate. We aimed to examine whether the risk factor profiles differ according to pathway-related molecular subtypes. Methods We examined the association of 24 risk factors with 4 CRC molecular subtypes based on a combinatorial status of microsatellite instability (MSI), CpG island methylator phenotype (CIMP), and BRAF and KRAS mutations by collecting data from 2 large US cohorts. We used inverse probability weighted duplication-method Cox proportional hazards regression to evaluate differential associations across subtypes. Results We documented 1175 CRC patients with molecular subtype data: subtype 1 (n = 498; conventional pathway; non-MSI-high, CIMP-low or negative, BRAF -wild-type, KRAS -wild-type), subtype 2 (n = 138; serrated pathway; any MSI status, CIMP-high, BRAF -mutated, KRAS -wild-type), subtype 3 (n = 367; alternate pathway; non-MSI-high, CIMP-low or negative, BRAF -wild-type, KRAS -mutated), and subtype 4 (n = 172; other marker combinations). Statistically significant heterogeneity in associations with CRC subtypes was found for age, sex, and smoking, with a higher hazard ratio (HR) observed for the subtype 2 (HR per 10 years of age = 2.64, 95% CI = 2.13 to 3.26; HR for female = 2.65, 95% CI = 1.60 to 4.39; HR per 20-pack-year of smoking = 1.29, 95% CI = 1.14 to 1.45) than other CRC subtypes (all P heterogeneity < .005). A stronger association was found for adiposity measures with subtype 1 CRC in men and subtype 3 CRC in women and for several dietary factors with subtype 1 CRC, although these differences did not achieve statistical significance at α level of .005. Conclusions Risk factor profiles may differ for CRC arising from different molecular pathways.
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