Evidence map›Paper›PMID 39915770›Full record

ArticleJournal of experimental & clinical cancer research : CR2025

Preoperative liquid biopsy transcriptomic panel for risk assessment of lymph node metastasis in T1 gastric cancer.

Ping'an Ding, Jiaxiang Wu, Haotian Wu, Wenqian Ma, Tongkun Li, Peigang Yang, Honghai Guo, Yuan Tian, Jiaxuan Yang, Limian Er and 7 more

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Article in Journal of experimental & clinical cancer research : CR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

17 authors.

Ping'an Ding *The Third Department of Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China.
Jiaxiang Wu *The Third Department of Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China.
Haotian Wu *The Third Department of Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China.
Wenqian Ma *Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China.
Tongkun LiThe Third Department of Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China.
Peigang YangThe Third Department of Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China.
Honghai GuoThe Third Department of Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China.
Yuan TianThe Third Department of Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China.
Jiaxuan YangThe Third Department of Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China.
Limian ErDepartment of Endoscopy, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, China.
Renjun GuSchool of Chinese Medicine, School of Integrated Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210023, China.
Lilong ZhangDepartment of General Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430065, China.
Ning MengDepartment of General Surgery, Shijiazhuang People's Hospital, Shijiazhuang, Hebei, 050050, China.
Xiaolong LiDepartment of General Surgery, Baoding Central Hospital, Baoding, Hebei, 071030, China.
Zhenjiang GuoGeneral Surgery Department, Hengshui People's Hospital, Hengshui, Hebei, 053099, China.
Lingjiao Meng *Research Center, Tumor Research Institute of the Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, China. ljmeng@hebmu.edu.cn.
Qun Zhao *The Third Department of Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China. zhaoqun@hebmu.edu.cn.ORCID http://orcid.org/0000-0003-1603-3002

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increasing incidence of early-stage T1 gastric cancer (GC) underscores the need for accurate preoperative risk stratification of lymph node metastasis (LNM). Current pathological assessments often misclassify patients, leading to unnecessary radical surgeries.

methodsThrough analysis of transcriptomic data from public databases and T1 GC tissues, we identified a 4-mRNA panel (SDS, TESMIN, NEB, and GRB14). We developed and validated a Risk Stratification Assessment (RSA) model combining this panel with clinical features using surgical specimens (training cohort: n = 218; validation cohort: n = 186), gastroscopic biopsies (n = 122), and liquid biopsies (training cohort: n = 147; validation cohort: n = 168).

resultsThe RSA model demonstrated excellent predictive accuracy for LNM in surgical specimens (training AUC = 0.890, validation AUC = 0.878), gastroscopic biopsies (AUC = 0.928), and liquid biopsies (training AUC = 0.873, validation AUC = 0.852). This model significantly reduced overtreatment rates from 83.9 to 44.1% in tissue specimens and from 84.4 to 56.0% in liquid biopsies. The 4-mRNA panel showed specificity for T1 GC compared to other gastrointestinal cancers (P < 0.001).

conclusionsWe developed and validated a novel liquid biopsy-based RSA model that accurately predicts LNM in T1 GC patients. This non-invasive approach could significantly reduce unnecessary surgical interventions and optimize treatment strategies for high-risk T1 GC patients.

Indexed as

Biomarkers, TumorStomach NeoplasmsTranscriptomeAgedFemaleGene Expression ProfilingHumansLiquid BiopsyLymphatic MetastasisMaleMiddle AgedNeoplasm StagingRisk AssessmentBiomarkers, TumorGastric cancerLiquid biopsyLymph node metastasesRisk stratification assessmentTranscriptomics panel

Identifiers

PMID39915770
PMCPMC11804050

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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.