Evidence map›Paper›PMID 40307680›Full record

ArticleBMC gastroenterology2025

Analysis of the effect of fecal SDC2, ADHFE1 and PPP2R5C gene methylation test for screening colorectal cancer in the Otog Front Banner.

Fan Zeng, Shiiu Chen, Xuli Zhu, Jinrun Chen, Maochong Lan, Runxiang Chen, Daya Zhang, Chen Chen, Shimei Huang, Da Li and 2 more

Abstract read
In one paragraph

Article in BMC gastroenterology, 2025. 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

12 authors.

Fan Zeng *The Second School of Clinical Medicine, Hainan Medical University, Haikou, 571199, China.
Shiiu Chen *The Second School of Clinical Medicine, Hainan Medical University, Haikou, 571199, China.
Xuli Zhu *Otog Front Banner Peoples Hospital, Inner Mongolia Autonomous Region, China, 016200, Ordos, 016200, China.
Jinrun ChenOtog Front Banner Peoples Hospital, Inner Mongolia Autonomous Region, China, 016200, Ordos, 016200, China.
Maochong LanGraduate School, Jiujiang College, Jiujiang, 332001, China.
Runxiang ChenThe Second School of Clinical Medicine, Hainan Medical University, Haikou, 571199, China.
Daya ZhangThe Second School of Clinical Medicine, Hainan Medical University, Haikou, 571199, China.
Chen ChenThe Second School of Clinical Medicine, Hainan Medical University, Haikou, 571199, China.
Shimei HuangThe Second School of Clinical Medicine, Hainan Medical University, Haikou, 571199, China.
Da LiThe Second School of Clinical Medicine, Hainan Medical University, Haikou, 571199, China.
Xiaodong ZhangThe Second School of Clinical Medicine, Hainan Medical University, Haikou, 571199, China.
Feihu BaiDepartment of Gastroenterology, The Second Affiliated Hospital of Hainan Medical University, Yehai Avenue, #368, Longhua District, Haikou, Hainan Province, 570216, China. baifeihu_hy@163.com.ORCID http://orcid.org/0000-0002-1560-6131

Funding

Hainan Provincial Health Industry Research Project No. 22A200078National Clinical Key Speciality Capacity Building Project, China No. 202330project supported by Hainan Province Clinical Medical Center No. 2021818the Innovation Platform for Academicians of Hainan Province No. 2022136the specific research fund of The Innovation Platfom for Academicians of Hainan Province No. YSPTZX202313
6 · The paper itself

Abstract

objectiveThe incidence of colorectal cancer (CRC) is gradually increasing, making the prevention and early detection of CRC a global priority. The purpose of this study is to evaluate the effect of fecal SDC2, ADHFE1, and PPP2R5C gene methylation on the screening of early CRC in the Otog Front Banner.

methodsThis is a retrospective study that collected and analyzed data from the early colorectal cancer screening program conducted in five community health centers in the Otog Front Banner, from January 2023 to October 2023. The study collected stool samples from subjects meeting the inclusion and exclusion criteria, extracted genomic DNA from the feces, and modified it with sulfite. Methylation-specific polymerase chain reaction (MSP) was then used to detect the methylation status of the SDC2, PPP2R5C, and ADHFE1 genes, completing the early screening for colorectalcancer. Individuals with positive screening outcomes were advised to undergo a colonoscopy, and ultimately, all participants completed the questionnaire on high-risk factors for colorectal cancer . The chi-square test was utilized to analyze the positive rates of fecal SDC2, ADHFE1, and PPP2R5C gene methylation screenings, colonoscopy compliance, the positive predictive value of intestinal lesions, and to assess the risk factors associated with cancer.

resultsA total of 9,135 effective screeners were included in this study, and 636 of them tested positive during the initial screening, yielding a positive rate of 6.9%. The positive predictive value was 50.9% for all intestinal lesions, 1.4% for colorectal cancer , and 9.7% for advanced adenoma.

conclusionFecal SDC2, ADHFE1, and PPP2R5C gene methylation detection methods can serve as primary screening tools, supplemented by colonoscopy, to effectively detect colorectal cancer and precancerous lesions. This strategy may prove to be an effective approach for conducting large-scale colorectal cancer screening in average-risk populations.

Indexed as

Colorectal NeoplasmsDNA MethylationEarly Detection of CancerFecesSyndecan-2AgedColonoscopyFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesSDC2 protein, humanSyndecan-2ADHFE1 and PPP2R5 C gene methylation testColorectal cancerFecal SDC2Otog Front BannerScreening

Identifiers

PMID40307680
PMCPMC12042555

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.