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Korean Colorectal Cancer Cohort RNA-seq data from Seoul National University Hospital

Authors: Yoo, Jinseon; Kim, Jinyong; Chu, Hoang Bao Khanh; Kim, Seon-Young; Kim, Young-Joon; Ryoo, Seung-Bum;

Korean Colorectal Cancer Cohort RNA-seq data from Seoul National University Hospital

Abstract

Cancer-related mortality is highest among colorectal cancer patients, and understanding its molecular mechanisms is essential to developing effective treatments. In this study, we performed RNA sequencing (RNA-seq) analysis of a total 376 normal colon and CRC samples. CRC fresh-frozen tissues and adjacent normal tissue samples were archived from Seoul National University Hospital, South Korea to investigate difference in the biology characteristics between normal and cancer tissues. A total of 58,380 genes were expressed in both CRC tissue and normal tissue. According to functional annotation analysis, upregulated genes in tumor were significantly enriched in pathways related to cell cycle, MAPK pathway and cancer-related ECM signaling, while genes highly expressed in normal tissues were enriched mainly in metabolic pathways. A Consensus Molecular Subtype (CMS) analysis was also performed to determine the relationship between the clinical information and subtypes. These findings provide valuable insights into the molecular mechanisms underlying Korean CRC patients and suggest potential targets for new treatments. Finally, raw files and processed data used to generate results in this paper were deposited into a public repository for further exploration.

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Keywords

Colorectal Cancer, RNA-seq

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visibility
citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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1
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17
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Cancer Research