Evidence map›Paper›PMID 41261790›Full record

ArticleBMB reports2026

Transcriptomic analysis of colorectal carcinoma tissues from a Korean population.

Hoang Bao Khanh Chu, Ji Hye Choi, Jongbum Jeon, Soobok Joe, Hyeran Shim, Jisun Kang, Sheehyun Cho, Hong Seok Lee, Yeong Hak Bang, Jinyeong Lim and 21 more

Abstract read
In one paragraph

Article in BMB reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

31 authors.

Hoang Bao Khanh ChuDepartment of Biochemistry, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Korea.
Ji Hye ChoiSamsung Genome Institute, Samsung Medical Center, Seoul 06351; Department of Health Sciences and Technology, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul 06355, Korea.
Jongbum JeonKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Korea.
Soobok JoeKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Korea.
Hyeran ShimDepartment of Biochemistry, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Korea.
Jisun KangDepartment of Biochemistry, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Korea.
Sheehyun ChoDepartment of Biochemistry, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Korea.
Hong Seok LeeDepartment of Biochemistry, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Korea.
Yeong Hak BangSamsung Genome Institute, Samsung Medical Center, Seoul 06351; Department of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul 06355, Korea.
Jinyeong LimSamsung Genome Institute, Samsung Medical Center, Seoul 06351; Department of Health Sciences and Technology, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul 06355, Korea.
Eun Hye JooSamsung Genome Institute, Samsung Medical Center, Seoul 06351; Department of Health Sciences and Technology, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul 06355, Korea.
Kyunghee ParkSamsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea.
Ji Hwan MoonSamsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea.
Kyung Yeon HanSamsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea.
Woo Yong LeeDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Hee Cheol KimDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Seong Hyeon YunDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Yong Beom ChoDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Yoon Ah ParkDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Jung Wook HuhDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Jung Kyong ShinDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Dae Hee PyoDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Hyekyung HongDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Yourae HongDepartment of Oncology, Katholieke Universiteit Leuven, Leuven B-3000, Belgium.
Hae-Ock LeeDepartment of Microbiology, College of Medicine, The Catholic University of Korea, Seoul 06591; Department of Biomedicine and Health Sciences, Graduate School, The Catholic University of Korea, Seoul 06591, Korea.
Jong-Hwan KimKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Korea.
Jinseon YooKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Korea.
Jaeeun JungKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Korea.
Jin Ok YangKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Korea.
Woong-Yang ParkSamsung Genome Institute, Samsung Medical Center, Seoul 06351; Department of Health Sciences and Technology, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul 06355; Department of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul 06355, Korea.
Young-Joon KimDepartment of Biochemistry, College of Life Science and Biotechnology, Yonsei University, Seoul 03722; LepiDyne Co., Ltd., Seoul 04779, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a disease with a high mortality rate, colorectal cancer (CRC) highlights the importance of comprehending its molecular mechanisms to develop effective therapies. In this study, we conducted RNA sequencing (RNA-seq) analysis on 476 samples consisting of fresh-frozen CRC tissues and adjacent normal tissues obtained from Samsung Medical Center (SMC) in South Korea. By analyzing gene expression differences, we identified that upregulated genes in tumor samples were significantly associated with pathways related to the cell cycle, extracellular matrix (ECM)-receptor interaction, and DNA damage response (DDR). Conversely, genes exhibiting high expression in normal samples were primarily related to metabolic pathways. Tumor samples were found to be enriched in various DDR pathways, prompting an investigation into the enrichment of related genes. Additionally, the analysis focused on the Homologous recombination (HR) pathway, for which the Homologous recombination deficiency (HRD) score was calculated. Furthermore, we categorized colorectal tumor samples into four subgroups using in silico methods to identify the biological and clinical characteristics of each subgroup and compared our results with those of the widely used existing subgrouping methods. Majority of our fibroblast and immune enriched/fibroblast samples aligned with CMS4, characterized by stromal invasion and mesenchymal differentiation, whereas the immune enriched subtype aligned with CMS1, known for its immune-centric profile. To investigate the clinical implications, the composition of the tumor microenvironment (TME) by cell type was examined across four subgroups, along with an immunological analysis. In particular, the calculated HRD score and the expression levels of immune-related genes associated with CRC were analyzed to provide evidence for personalized therapeutic strategies for each subgroup. Our findings provide valuable insights into the molecular mechanisms underlying CRC in Korean patients, particularly in the SMC patient group, and offer opportunities for personalized therapeutic strategies. [BMB Reports 2026; 59(6): 321-328].

Indexed as

Colorectal NeoplasmsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedRepublic of KoreaTranscriptome

Identifiers

PMID41261790
PMCPMC13311885

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.