Evidence map›Paper›PMID 41796341›Full record

ArticleClinical epigenetics2026

Circulating tumor DNA methylation-based method for noninvasive detection and stage stratification of colorectal tumor.

Hongli Ji, Mimi Xu, Wei Jiang, Yaowen Hu, Botao Yan, Qiaolin Chen, Jixiang Zheng, Wei Wu, Xiarong Hu, Zhenbang Chen and 3 more

Abstract read
In one paragraph

Article in Clinical epigenetics, 2026. 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. 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

13 authors.

Hongli Ji *Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
Mimi Xu *Department of Plastic and Cosmetic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, P.R. China.
Wei Jiang *Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
Yaowen Hu *Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
Botao YanGuangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
Qiaolin ChenGuangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
Jixiang ZhengGuangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
Wei WuGuangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
Xiarong HuGuangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
Zhenbang ChenGuangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
Zelong HanDepartment of Gastroenterology, Guangdong Provincial Key Laboratory of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
Hanlin LuAcegen (Shenzhen) Ltd, Shenzhen, Guangdong, P.R. China.
Jun YanGuangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China. yanjunfudan@163.com.

Funding

Clinical Research Program of Nanfang Hospital of Southern Medical University 2022CR003Fujian Province University-Industry Cooperation Project 2024Y4018Joint Funds for the Innovation of Science and Technology, Fujian Province 2024Y9282National Natural Science Foundation of China 82273360Postdoctoral Fellowship Program of CPSF GZC20231069President Foundation of Nanfang Hospital, Southern Medical University 2023A053President Foundation of Nanfang Hospital, Southern Medical University 2023B016Research Project of Fujian Medical University Union Hospital 2024XH030Science and Technology Planning Project of Guangzhou City 202206010085
6 · The paper itself

Abstract

backgroundEarly detection and optimal treatment could improve the outcomes of patients with colorectal cancer (CRC). No adequate method has been developed to meet these two requirements. Here, we aimed to identify differential circulating tumor DNA (ctDNA) methylation biomarkers associated with CRC, and then establish models for detection, stage stratification and clinical decision-making.

resultsA total of 636 participants were included in this prospective study. To identify differential ctDNA methylation biomarkers, we first performed a genome-wide analysis between tumor and adjacent normal tissues using the α-value, which is sensitivity to ctDNA methylation signals. After filtering with PBMC samples, 4965 biomarkers were identified. A panel of 21 biomarkers was selected after shrinkage. A ctDNA methylation-based CRC diagnostic model (cMCD) was constructed. The cMCD yielded a sensitivity of 87.82% (83.39%-91.41%) for the combined detection of advanced adenomas and CRC, and a specificity of 91.88% (88.54%-94.49%). The overall accuracy was 89.85% (87.50%-92.30%), which was much greater than that of tumor markers [CEA: 67.30% (63.50%-70.93%); CA19-9: 59.91% (55.98%-63.74%); CA72-4: 55.66% (51.70%-59.57%); all P < 0.001]. As the risk score and sensitivity of the cMCD tended to increase with tumor progression, we constructed another ctDNA methylation-based model to stratify stage (cMCSS) and further guide treatment selection, specifically for discriminating the Early-stage patients eligible for curative endoscopic resection and avoiding overtreatment. The cMCSS could discriminate 75.86% (68.81%-82.02%) of Early-stage patients (advanced adenomas and T1N0M0 CRCs), for whom endoscopic resection could achieve curative intent, and 89.45% (84.59%-93.19%) of Advanced-stage patients. The accuracy [83.42% (79.36%-86.96%)] was significantly greater than that of tumor markers [CEA: 60.20% (55.17%-65.08%); CA19-9: 51.77% (46.71%-56.83%); CA724: 46.17% (41.16%-51.25%); all P < 0.001].

conclusionsThe approach based on ctDNA methylation is a noninvasive and robust method for both early detection and tumor stratification of CRC and could benefit patients in clinical decision-making.

Indexed as

Biomarkers, TumorCirculating Tumor DNAColorectal NeoplasmsDNA MethylationAgedEarly Detection of CancerFemaleHumansMaleMiddle AgedNeoplasm StagingProspective StudiesSensitivity and SpecificityBiomarkers, TumorCirculating Tumor DNABiomarkerColorectal cancerctDNA methylationEarly detectionStage stratification

Identifiers

PMID41796341
PMCPMC13202743

What Socratic 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 Socratic graph.