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Risk Factors and Incidence of Colorectal Cancer According to Major Molecular Subtypes

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 fa...

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Autores principales: Wang, Liang, He, Xiaosheng, Ugai, Tomotaka, Haruki, Koichiro, Lo, Chun-Han, Hang, Dong, Akimoto, Naohiko, Fujiyoshi, Kenji, Wang, Molin, Fuchs, Charles S, Meyerhardt, Jeffrey A, Zhang, Xuehong, Wu, Kana, Chan, Andrew T, Giovannucci, Edward L, Ogino, Shuji, Song, Mingyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791624/
https://www.ncbi.nlm.nih.gov/pubmed/33442661
http://dx.doi.org/10.1093/jncics/pkaa089
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author Wang, Liang
He, Xiaosheng
Ugai, Tomotaka
Haruki, Koichiro
Lo, Chun-Han
Hang, Dong
Akimoto, Naohiko
Fujiyoshi, Kenji
Wang, Molin
Fuchs, Charles S
Meyerhardt, Jeffrey A
Zhang, Xuehong
Wu, Kana
Chan, Andrew T
Giovannucci, Edward L
Ogino, Shuji
Song, Mingyang
author_facet Wang, Liang
He, Xiaosheng
Ugai, Tomotaka
Haruki, Koichiro
Lo, Chun-Han
Hang, Dong
Akimoto, Naohiko
Fujiyoshi, Kenji
Wang, Molin
Fuchs, Charles S
Meyerhardt, Jeffrey A
Zhang, Xuehong
Wu, Kana
Chan, Andrew T
Giovannucci, Edward L
Ogino, Shuji
Song, Mingyang
author_sort Wang, Liang
collection PubMed
description 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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spelling pubmed-77916242021-01-12 Risk Factors and Incidence of Colorectal Cancer According to Major Molecular Subtypes Wang, Liang He, Xiaosheng Ugai, Tomotaka Haruki, Koichiro Lo, Chun-Han Hang, Dong Akimoto, Naohiko Fujiyoshi, Kenji Wang, Molin Fuchs, Charles S Meyerhardt, Jeffrey A Zhang, Xuehong Wu, Kana Chan, Andrew T Giovannucci, Edward L Ogino, Shuji Song, Mingyang JNCI Cancer Spectr Article 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. Oxford University Press 2020-10-07 /pmc/articles/PMC7791624/ /pubmed/33442661 http://dx.doi.org/10.1093/jncics/pkaa089 Text en © The Author(s) 2020. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Wang, Liang
He, Xiaosheng
Ugai, Tomotaka
Haruki, Koichiro
Lo, Chun-Han
Hang, Dong
Akimoto, Naohiko
Fujiyoshi, Kenji
Wang, Molin
Fuchs, Charles S
Meyerhardt, Jeffrey A
Zhang, Xuehong
Wu, Kana
Chan, Andrew T
Giovannucci, Edward L
Ogino, Shuji
Song, Mingyang
Risk Factors and Incidence of Colorectal Cancer According to Major Molecular Subtypes
title Risk Factors and Incidence of Colorectal Cancer According to Major Molecular Subtypes
title_full Risk Factors and Incidence of Colorectal Cancer According to Major Molecular Subtypes
title_fullStr Risk Factors and Incidence of Colorectal Cancer According to Major Molecular Subtypes
title_full_unstemmed Risk Factors and Incidence of Colorectal Cancer According to Major Molecular Subtypes
title_short Risk Factors and Incidence of Colorectal Cancer According to Major Molecular Subtypes
title_sort risk factors and incidence of colorectal cancer according to major molecular subtypes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791624/
https://www.ncbi.nlm.nih.gov/pubmed/33442661
http://dx.doi.org/10.1093/jncics/pkaa089
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