Bioinformatic analysis of the obesity paradox and possible associated factors in colorectal cancer using TCGA cohorts.

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Bibliographic Details
Title: Bioinformatic analysis of the obesity paradox and possible associated factors in colorectal cancer using TCGA cohorts.
Authors: Lim DM; Interdisciplinary Program of Genomic Data Science, Pusan National University, Yangsan 50612, Korea., Lee H; Department of Medical Informatics, School of Medicine, Keimyung University, 1095 Dalgubeol-daero, Dalseo-gu, Daegu 42601, Republic of Korea., Eom K; Department of Physiology, School of Medicine, Keimyung University, 1095 Dalgubeol-daero, Dalseo-gu, Daegu 42601, Republic of Korea., Kim YH; Department of Biomedical Informatics, School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea.; Department of Anatomy, School of Medicine, Pusan National University, Yangsan 50612, Korea., Kim S; Department of Immunology, School of Medicine, Keimyung University, Dalseo-gu, Daegu 42601, Republic of Korea.; Institute of Medical Science, Keimyung University, Dalseo-gu, Daegu 42601, Republic of Korea.; Institute for Cancer Research, Keimyung University Dongsan Medical Center, Dalseo-gu, Daegu 42601, Republic of Korea.
Source: Journal of Cancer [J Cancer] 2023 Jan 22; Vol. 14 (3), pp. 322-335. Date of Electronic Publication: 2023 Jan 22 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Ivyspring International Publisher Country of Publication: Australia NLM ID: 101535920 Publication Model: eCollection Cited Medium: Print ISSN: 1837-9664 (Print) Linking ISSN: 18379664 NLM ISO Abbreviation: J Cancer Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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