Evidence map›Paper›PMID 37605617›Full record

ArticleBMB reports2024

Comprehensive profiling of DNA methylation in Korean patients with colorectal cancer.

Hyeran Shim, Kiwon Jang, Yeong Hak Bang, Hoang Bao Khanh Chu, Jisun Kang, Jin-Young Lee, Sheehyun Cho, Hong Seok Lee, Jongbum Jeon, Taeyeon Hwang and 21 more

Abstract readNews
PubMed Full text at PMC
In one paragraph

Article in BMB reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Hyeran ShimDepartment of Biochemistry, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Korea.
Kiwon JangKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Korea.
Yeong Hak BangDepartment of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul 06355; Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Hoang Bao Khanh ChuDepartment 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.
Jin-Young LeeDepartment 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.
Jongbum JeonKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Korea.
Taeyeon HwangKorea 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.
Jinyeong LimDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul 06355, Korea.
Ji-Hye ChoiDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul 06355, Korea.
Eun Hye JooDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul 06355, Korea.
Kyunghee ParkSamsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Ji Hwan MoonSamsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Kyung Yeon HanSamsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Yourae HongDepartment of Oncology, Katholieke Universiteit Leuven, B-3000 Leuven, Belgium.
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.
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.
Woong-Yang ParkDepartment of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul 06355; Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul 06355; Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Jin Ok YangKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, 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

Alterations in DNA methylation play an important pathophysiological role in the development and progression of colorectal cancer. We comprehensively profiled DNA methylation alterations in 165 Korean patients with colorectal cancer (CRC), and conducted an in-depth investigation of cancer-specific methylation patterns. Our analysis of the tumor samples revealed a significant presence of hypomethylated probes, primarily within the gene body regions; few hypermethylated sites were observed, which were mostly enriched in promoter-like and CpG island regions. The CpG Island Methylator PhenotypeHigh (CIMP-H) exhibited notable enrichment of microsatellite instability-high (MSI-H). Additionally, our findings indicated a significant correlation between methylation of the MLH1 gene and MSI-H status. Furthermore, we found that the CIMP-H had a higher tendency to affect the right-side of the colon tissues and was slightly more prevalent among older patients. Through our methylome profile analysis, we successfully verified the thylation patterns and clinical characteristics of Korean patients with CRC. This valuable dataset lays a strong foundation for exploring novel molecular insights and potential therapeutic targets for the treatment of CRC. [BMB Reports 2024; 57(2): 110-115].

Indexed as

Colorectal NeoplasmsDNA MethylationCpG IslandsHumansMicrosatellite InstabilityMutationPhenotypeRepublic of Korea

Identifiers

PMID37605617
PMCPMC10910091

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.