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Dataset . 2024
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Comprehensive RNA-seq analysis of colorectal cancer in a Korean cohort

Authors: Jong Hwan, Kim;

Comprehensive RNA-seq analysis of colorectal cancer in a Korean cohort

Abstract

Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide, and understanding the molecular mechanisms underlying CRC development and progression is critical for developing effective treatments. We performed RNA-Seq analysis of CRC and adjacent normal tissue samples from 214 Korean participants (comprising a total of 381 including 169 normal and 212 tumor samples) to investigate differential gene expression between the two groups. We identified a total of 19,575 expressed genes in CRC tissue and normal tissue, with 3,830 differentially expressed genes (DEGs) identified between the two groups. Functional annotation analysis revealed that upregulated DEGs were significantly enriched in pathways related to cell cycle, DNA replication, and IL-17, while downregulated DEGs were enriched in metabolic pathways. We also analyzed relationships between the clinical information and subtypes using Consensus Molecular Subtype (CMS). Our findings provide valuable insights into the molecular mechanisms underlying Korean CRC patients and suggest potential targets for developing new treatments for this deadly disease. The raw data and processed results of this study have been deposited in a public repository to enable further analysis and exploration.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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
OpenAIRE UsageCountsViews provided by UsageCounts
0
Average
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Average
29
Related to Research communities
Cancer Research