Evidence map›Paper›PMID 39350171›Full record

ArticleBMC cancer2024

DNA methylation analysis of the SDC2, SEPT9 and VIM genes in fecal DNA for colorectal cancer diagnosis.

Yue Liu, Hongbo Ming, Lizhi Xu, Lizhen Li, Qi Liu, Jinyin Zhao, Cundi Zhong, Hongzhi Li

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
–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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Colonic neoplasia and celiac disease: A systematic review.World journal of gastroenterology · 2025
    Pooled it
  3. Pooled it
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
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

8 authors.

Yue LiuDalian Gentalker Biotech Co., Ltd., 9-2, Jinqi Road, Jinpu New District , Dalian, Liaoning, 116635, China.
Hongbo MingDalian Gentalker Biotech Co., Ltd., 9-2, Jinqi Road, Jinpu New District , Dalian, Liaoning, 116635, China.
Lizhi XuDalian Gentalker Biotech Co., Ltd., 9-2, Jinqi Road, Jinpu New District , Dalian, Liaoning, 116635, China.
Lizhen LiDalian Gentalker Biotech Co., Ltd., 9-2, Jinqi Road, Jinpu New District , Dalian, Liaoning, 116635, China.
Qi LiuDalian Gentalker Biotech Co., Ltd., 9-2, Jinqi Road, Jinpu New District , Dalian, Liaoning, 116635, China.
Jinyin ZhaoDalian Gentalker Biotech Co., Ltd., 9-2, Jinqi Road, Jinpu New District , Dalian, Liaoning, 116635, China.
Cundi ZhongDepartment of Laboratory, The Second Affiliated Hospital of Dalian Medical University, 216 Zhongshan Street, Ganjingzi District, Dalian, Liaoning, 116031, China. zhongcundi@dmu.edu.cn.
Hongzhi LiDalian Gentalker Biotech Co., Ltd., 9-2, Jinqi Road, Jinpu New District , Dalian, Liaoning, 116635, China. lihzh@gentalker.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer is one of the most common cancers worldwide. DNA methylation sites may serve as a new gene signature for colorectal cancer diagnosis. The search for representative DNA methylation sites is urgently needed. This study aimed to systematically identify a methylation gene panel for colorectal cancer diagnosis via tissue and fecal samples.

methodsA total of 181 fecal and 50 tumor tissue samples were collected. They were obtained from 83 colorectal cancer patients and 98 healthy subjects. These samples were evaluated for DNA methylation of 9 target genes via quantitative bisulfite next-generation sequencing. We employed the rank-sum test to screen the colorectal cancer-specific methylation sites in the tissue and fecal cohorts. A data model was subsequently constructed and validated via the dedicated validation dataset.

resultsCompared with the fecal and negative control samples, the colorectal cancer tissue samples presented significantly higher methylation rates for all the selected gene sites. The methylation rates of the tissue and preoperative fecal samples showed the same high and low rates at the same sites. After screening, a panel of 29 loci in the SDC2, SEPT9, and VIM genes proved to be reliable biomarkers for colorectal cancer diagnosis in fecal samples. Logistic regression models were then constructed and validated using this panel. The sensitivity of the model was 91.43% (95% CI = [89.69, 93.17]), the specificity was 100% (95% CI = [100,100]), and the AUC value is 99.31% (95% CI = [99,99.62]). The diagnostic accuracy of the model for stage I and stage II colorectal cancer was 100% (11/11) and 91.3% (21/23), respectively. Overall, this study confirms that the gene locus panel and the model can be used to diagnose colorectal cancer effectively through feces.

conclusionsOur study identified a set of key methylation sites for colorectal cancer diagnosis from fecal samples, highlighting the importance of using tissue and fecal samples to accurately assess DNA methylation levels to screen for methylation sites, and developing an effective diagnostic model for colorectal cancer.

Indexed as

Biomarkers, TumorColorectal NeoplasmsDNA MethylationFecesSeptinsSyndecan-2AdultAgedFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedBiomarkers, TumorSDC2 protein, humanSEPTIN9 protein, humanSeptinsSyndecan-2Colorectal cancerDNA methylation analysisLogistic regressionTargeted sequencing

Identifiers

PMID39350171
PMCPMC11440654

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.