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논문 기본 정보

자료유형
학술저널
저자정보
Kil-yong Lee (The Catholic University of Korea) Jaeim Lee (Uijeongbu St. Mary’s Hospital) Jong Hwan Kim (Korea Research Institute of Bioscience and Biotechnology (KRIBB)) Hoang Bao Khanh Chu (Yonsei University) Seong-Taek Oh (The Catholic University of Korea) Sung-Bum Kang (Seoul National University College of Medicine, Seongnam, Korea) Sejoon Lee (Seoul National University Bundang Hospital) Duck-Woo Kim (Seoul National University Bundang Hospital) Heung-Kwon Oh (Seoul National University Bundang Hospital, Seongnam, Korea) Ji-Hwan Park (Korea Research Institute of Bioscience and Biotechnology) Ji-Su Kim (Korea Research Institute of Bioscience and Biotechnology) Jisun Kang (Yonsei University) Jin-Young Lee (Yonsei University) Sheehyun Cho (Yonsei University) 심혜란 (연세대학교) Hong Seok Lee (Yonsei University) Seon-Young Kim (Korea Research Institute of Bioscience and Biotechnology) 김영준 (연세대학교) Jin Ok Yang (Korea Research Institute of Bioscience and Biotechnology)
저널정보
한국분자세포생물학회 Molecules and Cells Molecules and Cells Vol.47 No.1
발행연도
2024.1
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1 - 13 (13page)

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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 (com prising 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.

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