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

Cited 4 time in scopus
Metadata Downloads
Title
Comprehensive RNA-sequencing analysis of colorectal cancer in a Korean cohort
Author(s)
J Lee; Jong-Hwan Kim; H B K Chu; S T Oh; S B Kang; S Lee; D W Kim; H K Oh; Ji Hwan Park; Jisu Kim; J Kang; J Y Lee; S Cho; H Shim; H S Lee; Seon-Young Kim; Y J Kim; Jin Ok Yang; K Y Lee
Bibliographic Citation
Molecules and Cells, vol. 47, no. 3, pp. 100033-100033
Publication Year
2024
Abstract
Considering the recent increase in the number of colorectal cancer (CRC) cases in South Korea, we aimed to clarify the molecular characteristics of CRC unique to the Korean population. To gain insights into the complexities of CRC and promote the exchange of critical data, RNA-sequencing analysis was performed to reveal the molecular mechanisms that drive the development and progression of CRC; this analysis is critical for developing effective treatment strategies. We performed RNA-sequencing 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 groups. We identified 19,575 genes expressed in CRC and normal tissues, with 3,830 differentially expressed genes (DEGs) between the groups. Functional annotation analysis revealed that the upregulated DEGs were significantly enriched in pathways related to the cell cycle, DNA replication, and IL-17, whereas the downregulated DEGs were enriched in metabolic pathways. We also analyzed the relationship between clinical information and subtypes using the Consensus Molecular Subtype (CMS) classification. Furthermore, we compared groups clustered within our dataset to CMS groups and performed additional analysis of the methylation data between DEGs and CMS groups to provide comprehensive biological insights from various perspectives. Our study provides valuable insights into the molecular mechanisms underlying CRC in Korean patients and serves as a platform for identifying potential target genes for this disease. The raw data and processed results have been deposited in a public repository for further analysis and exploration.
Keyword
Cell cycleColorectal neoplasmDNA replicationRNARNA-sequencing
ISSN
1016-8478
Publisher
Korea Soc-Assoc-Inst
Full Text Link
http://dx.doi.org/10.1016/j.mocell.2024.100033
Type
Article
Appears in Collections:
Division of A.I. & Biomedical Research > Genomic Medicine Research Center > 1. Journal Articles
Files in This Item:
  • There are no files associated with this item.


Items in OpenAccess@KRIBB are protected by copyright, with all rights reserved, unless otherwise indicated.