Evidence map›Paper›PMID 42174634›Full record

ArticleClinical epigenetics2026

Early detection of gastric cancer with the assistance of cell-free DNA fragmentomics.

Xiaoli Huang, Zhengxiang Han, Ying Zhang, Hongmei Wang, Xuqi Li, Chenxi Bai, Ying Pan, Jingwen Huang, Jiaojiao Xie, Xiaohan Qian and 8 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

18 authors.

Xiaoli Huang *Department of Gastroenterology, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, 210031, China.
Zhengxiang Han *Department of Oncology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006, China.
Ying Zhang *Department of Radiotherapy, Xijing Hospital, Fourth Military Medical University, Xi'an, 710061, China.
Hongmei WangDepartment of Oncology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006, China.
Xuqi LiDepartment of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China.
Chenxi BaiMedical College, Nantong University, Nantong, 226001, China.
Ying PanDepartment of Gastroenterology, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, 210031, China.
Jingwen HuangDepartment of Gastroenterology, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, 210031, China.
Jiaojiao XieDepartment of Gastroenterology, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, 210031, China.
Xiaohan QianDepartment of Gastroenterology, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, 210031, China.
Xuan WangNanjing Geneseeq Technology Inc, Nanjing, 210032, China.
Tao DingNanjing Geneseeq Technology Inc, Nanjing, 210032, China.
Jinpeng ZhangNanjing Geneseeq Technology Inc, Nanjing, 210032, China.
Shanshan YangNanjing Geneseeq Technology Inc, Nanjing, 210032, China.
Xinyue HongNanjing Geneseeq Technology Inc, Nanjing, 210032, China.
Qifan JingNanjing Geneseeq Technology Inc, Nanjing, 210032, China.
Gang LiDepartment of General Surgery, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, No.42 Baiziting, Nanjing, 210009, Jiangsu, China. ligang@njmu.edu.cn.
Xiaohua LiDepartment of Digestive Surgery, Xijing Hospital, Fourth Military Medical University, 169 Changle West Road, Xi'an, 710061, Shaanxi, China. xjyylixiaohua@163.com.

Funding

Excellent Talent Program of Jiangsu Cancer Hospital No.2017YYCJH-08Fundamental Research Funds for the Central Universities in Xi'an Jiaotong University xtr062025009Nanjing Medical Development Research Project Fund YKK23262National Nature Science Foundation of China No. 82470537Pengcheng Talents - Key Medical Talent Training Project XWRCHT20220068Yishan Research Project of Jiangsu Cancer Hospital No. YSZD202404
6 · The paper itself

Abstract

backgroundGastric cancer remains one of the most prevalent malignancies globally. As early-stage gastric cancer is typically asymptomatic or presents with non-specific symptoms, most patients are diagnosed at advanced stages, leading to poor survival outcomes. Effective early detection strategies are important for reducing gastric cancer-related mortality. In this study, we developed a non-invasive assay utilizing cell-free DNA to distinguish patients with early-stage gastric cancer from healthy individuals.

resultsWe performed low-depth whole genome sequencing to profile cell-free DNA and extracted three distinct features: fragment size patterns, coverage at transcription factor binding sites, and methylation-based profiles. These features were integrated via machine learning to construct a stacked ensemble model. The study included a training cohort (108 gastric cancer patients and 108 healthy controls), a temporally independent validation cohort (79 patients and 79 healthy controls), and an external validation cohort recruited from two independent centers (136 patients and 136 healthy controls). The ensemble model demonstrated robust performance, achieving area under the curve values of 0.986, 0.978, and 0.967 in the training, validation, and external cohorts, respectively. Specificity and sensitivity were 98.1% and 89.8% in the training cohort, 97.5% and 87.6% in the validation cohort, and 96.3% and 87.5% in the external cohort. Notably, the sensitivity for detecting stage I gastric cancer exceeded 85% across all cohorts.

conclusionsBy integrating multi-dimensional cell-free DNA fragmentomic features, this assay provides accurate, non-invasive detection of gastric cancer, particularly at early stages. While its performance was high, the specificity reported here may be overestimated due to the use of a strictly screened healthy control group. Nevertheless, this fragmentomic-based approach represents a promising tool to complement existing screening strategies, potentially improving early diagnosis rates.

Indexed as

Cell-Free Nucleic AcidsEarly Detection of CancerStomach NeoplasmsWhole Genome SequencingAgedBiomarkers, TumorCase-Control StudiesDNA MethylationFemaleHumansMaleMiddle AgedSensitivity and SpecificityBiomarkers, TumorCell-Free Nucleic AcidsCell-free DNAEarly detectionFragmentomicsGastric cancer

Identifiers

PMID42174634
PMCPMC13374216

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LicenceCC BY-NC-ND
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Registered trials

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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.