Evidence map›Paper›PMID 38849905›Full record

ArticleGenome medicine2024

Multi-dimensional cell-free DNA-based liquid biopsy for sensitive early detection of gastric cancer.

Pengfei Yu, Ping Chen, Min Wu, Guangyu Ding, Hua Bao, Yian Du, Zhiyuan Xu, Litao Yang, Jingquan Fang, Xingmao Huang and 9 more

Registry-linked trialAbstract read
In one paragraph

Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05269056 (Early Detection of Stage I-II Gastric Cancer Using Plasma Cell-free DNA Fragmentomics), which is not on this map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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.

NCT05269056 unknown statusnot on this map

Early Detection of Stage I-II Gastric Cancer Using Plasma Cell-free DNA Fragmentomics

TypeobservationalSponsorZhejiang Cancer HospitalRan2021 to 2023Enrolled300ConditionsEarly Gastric Cancer
3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

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  19. Plasma cell-free DNA methylation markers for detection and prognosis of gastric cancer: A case-control study.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2025
    Article
  20. Observational
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

19 authors.

Pengfei Yu *Department of Gastric Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China.
Ping Chen *Department of Gastrointestinal Surgery, Ningbo No.2 Hospital, Ningbo, Zhejiang, 315010, China.
Min Wu *Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, 210032, China.
Guangyu DingDepartment of Gastric Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China.
Hua BaoGeneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, 210032, China.
Yian DuDepartment of Gastric Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China.
Zhiyuan XuDepartment of Gastric Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China.
Litao YangDepartment of Gastric Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China.
Jingquan FangDepartment of Gastric Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China.
Xingmao HuangDepartment of Gastric Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China.
Qian LaiDepartment of Pathology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China.
Jia WeiDepartment of Pathology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China.
Junrong YanGeneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, 210032, China.
Shanshan YangGeneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, 210032, China.
Peng HeGeneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, 210032, China.
Xue WuGeneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, 210032, China.
Yang ShaoGeneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, 210032, China.
Dan SuDepartment of Pathology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China. sudan@zjcc.org.cn.
Xiangdong ChengDepartment of Gastric Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China. abdsurg@163.com.

Funding

The National Key Research and Development Program of China No.2021YFA0910104
6 · The paper itself

Abstract

backgroundGastric cancer is the fifth most common cancer type. Most patients are diagnosed at advanced stages with poor prognosis. A non-invasive assay for the detection of early-stage gastric cancer is highly desirable for reducing associated mortality.

methodsWe collected a prospective study cohort of 110 stage I-II gastric cancer patients and 139 non-cancer individuals. We performed whole-genome sequencing with plasma samples and profiled four types of cell-free DNA (cfDNA) characteristics, fragment size pattern, copy number variation, nucleosome coverage pattern, and single nucleotide substitution. With these differential profiles, we developed an ensemble model to detect gastric cancer signals. Further, we validated the assay in an in-house first validation cohort of 73 gastric cancer patients and 94 non-cancer individuals and an independent second validation cohort of 47 gastric cancer patients and 49 non-cancer individuals. Additionally, we evaluated the assay in a hypothetical 100,000 screening population by Monte Carlo simulation.

resultsOur cfDNA-based assay could distinguish early-stage gastric cancer from non-cancer at an AUROC of 0.962 (95% CI: 0.942-0.982) in the study cohort, 0.972 (95% CI: 0.953-0.992) in the first validation cohort and 0.937 (95% CI: 0.890-0.983) in the second validation cohort. The model reached a specificity of 92.1% (128/139) and a sensitivity of 88.2% (97/110) in the study cohort. In the first validation cohort, 91.5% (86/94) of non-cancer individuals and 91.8% (67/73) of gastric cancer patients were correctly identified. In the second validation cohort, 89.8% (44/49) of non-cancer individuals and 87.2% (41/47) of gastric cancer patients were accurately classified.

conclusionsWe introduced a liquid biopsy assay using multiple dimensions of cfDNA characteristics that could accurately identify early-stage gastric cancer from non-cancerous conditions. As a cost-effective non-invasive approach, it may provide population-wide benefits for the early detection of gastric cancer.

trial registrationThis study was registered on ClinicalTrials.gov under the identifier NCT05269056 on March 7, 2022.

Indexed as

Biomarkers, TumorCell-Free Nucleic AcidsEarly Detection of CancerStomach NeoplasmsAdultAgedCirculating Tumor DNADNA Copy Number VariationsFemaleHumansLiquid BiopsyMaleMiddle AgedProspective StudiesBiomarkers, TumorCell-Free Nucleic AcidsCirculating Tumor DNACell-free DNAEarly detectionFragmentomicsGastric cancerLiquid biopsy

Identifiers

PMID38849905
PMCPMC11157707

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Registered trials

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.