Evidence map›Paper›PMID 41509908›Full record

ArticleiScience2026

A targeted DNA methylation method for detecting gastrointestinal cancer in circulating cell-free DNA.

Zhaoyu Jiang, Yuqing Guo, Yongqu Lu, Kun Qian, Xiaomeng Liu, Siyi Lu, Jie Ren, Fuchou Tang, Wei Fu, Lu Wen and 1 more

Abstract read
In one paragraph

Article in iScience, 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. 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

11 authors.

Zhaoyu JiangDepartment of General Surgery, Biomedical Pioneering Innovation Center, Third Hospital, Peking University, Beijing 100871, China.
Yuqing GuoDepartment of General Surgery, Biomedical Pioneering Innovation Center, Third Hospital, Peking University, Beijing 100871, China.
Yongqu LuDepartment of General Surgery, Biomedical Pioneering Innovation Center, Third Hospital, Peking University, Beijing 100871, China.
Kun QianSchool of Mathematical Sciences and Center for Statistical Science, Peking University, Beijing 100871, China.
Xiaomeng LiuRadiation Oncology Key Laboratory of Sichuan Province, Sichuan Cancer Hospital &Institute, Chengdu 610041, China.
Siyi LuDepartment of General Surgery, Biomedical Pioneering Innovation Center, Third Hospital, Peking University, Beijing 100871, China.
Jie RenDepartment of General Surgery, Biomedical Pioneering Innovation Center, Third Hospital, Peking University, Beijing 100871, China.
Fuchou TangDepartment of General Surgery, Biomedical Pioneering Innovation Center, Third Hospital, Peking University, Beijing 100871, China.
Wei FuDepartment of General Surgery, Biomedical Pioneering Innovation Center, Third Hospital, Peking University, Beijing 100871, China.
Lu WenDepartment of General Surgery, Biomedical Pioneering Innovation Center, Third Hospital, Peking University, Beijing 100871, China.
Xin ZhouDepartment of General Surgery, Biomedical Pioneering Innovation Center, Third Hospital, Peking University, Beijing 100871, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) and gastric cancer (GC) are leading causes of cancer-related mortality. However, cost-effective methods for simultaneous detection of CRC and GC in circulating cell-free DNA (cfDNA) remain insufficiently explored. To address this, we developed targeted methylated CpG tandem amplification and sequencing (tMCTA-seq), a PCR-based method utilizing a set of locus-specific primers with a universal CGCGCGG primer, and targeted a panel of 110 loci. The method demonstrated high technical sensitivity below one haploid genome equivalent. Using a repeated nested cross-validation framework, the ensemble model, applied to 448 plasma samples (170 CRC, 101 GC, and 177 control participants), achieved areas under the curve (AUCs) of 0.928 (88.2% sensitivity and 90.7% specificity) for CRC and 0.926 (86.7% sensitivity and 94.4% specificity) for GC on the test set. Furthermore, tMCTA-seq differentiated between CRC and GC (AUC = 0.819). Thus, tMCTA-seq is a cost-effective, methylation-based approach for simultaneous detection of and differentiation between two major gastrointestinal cancers in blood.

Indexed as

BiochemistryCancer

Identifiers

PMID41509908
PMCPMC12774679

What OpenQuestion holds

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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.