Evidence map›Paper›PMID 38977698›Full record

ArticleScientific reports2024

Genome wide identification of novel DNA methylation driven prognostic markers in colorectal cancer.

Yuhua Ma, Yuanxin Li, Zhahong Wen, Yining Lai, Kulaixijiang Kamila, Jing Gao, Wang-Yang Xu, Chengxiang Gong, Feifan Chen, Liuqing Shi and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Biomolecules · 2024
    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

13 authors.

Yuhua Ma *Xinjiang Key Laboratory of Clinical Genetic Testing and Biomedical Information, Karamay Central Hospital, Karamay, 834099, Xin Jiang, China.
Yuanxin Li *Xinjiang Key Laboratory of Clinical Genetic Testing and Biomedical Information, Karamay Central Hospital, Karamay, 834099, Xin Jiang, China.
Zhahong Wen *Singlera Genomics (Shanghai) Ltd., Shanghai, 201318, China.
Yining LaiXinjiang Key Laboratory of Clinical Genetic Testing and Biomedical Information, Karamay Central Hospital, Karamay, 834099, Xin Jiang, China.
Kulaixijiang KamilaXinjiang Key Laboratory of Clinical Genetic Testing and Biomedical Information, Karamay Central Hospital, Karamay, 834099, Xin Jiang, China.
Jing GaoXinjiang Key Laboratory of Clinical Genetic Testing and Biomedical Information, Karamay Central Hospital, Karamay, 834099, Xin Jiang, China.
Wang-Yang XuSinglera Genomics (Shanghai) Ltd., Shanghai, 201318, China.
Chengxiang GongSinglera Genomics (Shanghai) Ltd., Shanghai, 201318, China.
Feifan ChenSinglera Genomics (Shanghai) Ltd., Shanghai, 201318, China.
Liuqing ShiSinglera Genomics (Shanghai) Ltd., Shanghai, 201318, China.
Yunzhi ZhangSinglera Genomics (Shanghai) Ltd., Shanghai, 201318, China.
Hanzhang ChenDepartment of Pathology, Zhabei Central Hospital of Shanghai, No. 619, Zhonghua New Road, Jing'an District, Shanghai, 200070, China. chz1970@163.com.
Min ZhuXinjiang Key Laboratory of Clinical Genetic Testing and Biomedical Information, Karamay Central Hospital, Karamay, 834099, Xin Jiang, China. zmklmyszxyy@163.com.

Funding

National Natural Science Foundation of China 82260322Natural Science Foundation of Xinjiang Uygur Autonomous Region for Outstanding Young Scientists 2021D01E34
6 · The paper itself

Abstract

Colorectal cancer (CRC) stands as a major contributor to cancer-related fatalities within China. There is an urgent need to identify accurate biomarkers for recurrence predicting in CRC. Reduced representation bisulfite sequencing was used to perform a comparative analysis of methylation profiles in tissue samples from 30 recurrence to 30 non-recurrence patients with CRC. Least absolute shrinkage and selection operator method was performed to select the differential methylation regions (DMRs) and built a DNA methylation classifier for predicting recurrence. Based on the identified top DMRs, a methylation classifier was built and consisted of eight hypermethylated DMRs in CRC. The DNA methylation classifier showed high accuracy for predicting recurrence with an area under the receiver operator characteristic curve of 0.825 (95% CI 0.680-0.970). The Kaplan-Meier survival analysis demonstrated that CRC patients with high methylation risk score, evaluated by the DNA methylation classifier, had poorer survival than low risk score (Hazard Ratio 4.349; 95% CI 1.783-10.61, P = 0.002). And only CRC patients with low methylation risk score could acquire benefit from adjuvant therapy. The DNA methylation classifier has been proved as crucial biomarkers for predicting recurrence and exhibited promising prognostic value after curative surgery in patients with CRC.

Indexed as

Biomarkers, TumorColorectal NeoplasmsDNA MethylationNeoplasm Recurrence, LocalAgedFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisBiomarkers, Tumor

Identifiers

PMID38977698
PMCPMC11231291

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.