ArticleGut2025
Construction of exosome non-coding RNA feature for non-invasive, early detection of gastric cancer patients by machine learning: a multi-cohort study.
Article in Gut, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence-enabled liquid biopsy in cancer: a systematic review and meta- analysis of diagnostic performance and biological implications.Frontiers in oncology · 2026Pooled it
- Extracellular vesicles in gastric cancer: biological functions, clinical applications, and engineering strategies.Medical oncology (Northwood, London, England) · 2026Review
- A Dual-Mode In Situ EV-miRNA Profiling Platform for Machine-Learning-Assisted Gastric Cancer Liquid Biopsy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Exosome-delivered pepDCBLD2 promotes glucose metabolism to induce chemoresistance in colon cancer.Journal of translational medicine · 2026Article
- Exploring the Clinical Landscape of Long Non-coding RNAs in Cancer Diagnosis and Therapy.Biochemical genetics · 2026Review
- Photothermal and colorimetric dual mode assay based on nanozymes for gastric cancer exosomes.Mikrochimica acta · 2026Article
- Harnessing tumor-associated exosomal aminopeptidase N as a dual-function tool for monitoring and tackling chemoresistance in gastric cancer.Cell communication and signaling : CCS · 2026Article
- An interpretable machine learning model for biomarker identification and diagnostic nomogram development in hypo-productive thrombocytopenia.Scientific reports · 2026Article
- Circulating cell-free mtDNA fragmentomics for early detection of gastric cancer and precancerous lesions.Cell reports. Medicine · 2026Article
- Extracellular vesicle and particle biomarkers in cancer: a machine learning blueprint for liquid biopsy.Journal of nanobiotechnology · 2026Review
- Early detection of gastric cancer: a novel circulating microbiome DNA based liquid biopsy assay.NPJ precision oncology · 2026Article
- Multi-phase hybrid metabolomics framework identifies clinically applicable plasma signatures for early detection of gastric cancer.Nature communications · 2026Article
- Exosomal P4HA3: a promising biomarker for diagnosis and prognosis in gastric cancer.Translational cancer research · 2026Article
- LncRNA LINC01579/miR-579-3p axis promotes gastric cancer progression via NOTCH1 pathway.World journal of surgical oncology · 2026Article
- A novel risk stratification strategy for precision prevention of gastric cancer based on clinicopathological features and IGFBP7.Scientific reports · 2026Article
- Mechanistic roles of long non-coding RNAs in gastric cancer therapy resistance.Non-coding RNA research · 2026Review
- Peritumoural adipose tissue promotes ferroptosis resistance by 3-hydroxykynurenine-mediated suppression of ferritinophagy.Nature cell biology · 2026Article
- Recent advances in machine learning-enhanced extracellular vesicle omics for oncology.Journal of nanobiotechnology · 2026Review
- Artificial intelligence models: transforming early diagnosis and precise treatment of gastrointestinal cancers.Molecular cancer · 2026Review
- Tumor Extracellular Vesicles lncOSLMT Drives Lung Inflammatory Premetastatic Niche Formation in Osteosarcoma via mAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectiveGastric cancer (GC) remains a prevalent and preventable disease, yet accurate early diagnostic methods are lacking. Exosome non-coding RNAs (ncRNAs), a type of liquid biopsy, have emerged as promising diagnostic biomarkers for various tumours. This study aimed to identify a serum exosome ncRNA feature for enhancing GC diagnosis. DESIGNS: Serum exosomes from patients with GC (n=37) and healthy donors (n=20) were characterised using RNA sequencing, and potential biomarkers for GC were validated through quantitative reverse transcription PCR (qRT-PCR) in both serum exosomes and tissues. A combined diagnostic model was developed using LASSO-logistic regression based on a cohort of 518 GC patients and 460 healthy donors, and its diagnostic performance was evaluated via receiver operating characteristic curves.
resultsRNA sequencing identified 182 candidate biomarkers for GC, of which 31 were validated as potential biomarkers by qRT-PCR. The combined diagnostic score (cd-score), derived from the expression levels of four long ncRNAs (RP11.443C10.1, CTD-2339L15.3, LINC00567 and DiGeorge syndrome critical region gene (DGCR9)), was found to surpass commonly used biomarkers, such as carcinoembryonic antigen, carbohydrate antigen 19-9 (CA19-9) and CA72-4, in distinguishing GC patients from healthy donors across training, testing and external validation cohorts, with AUC values of 0.959, 0.942 and 0.949, respectively. Additionally, the cd-score could effectively identify GC patients with negative gastrointestinal tumour biomarkers and those in early-stage. Furthermore, molecular biological assays revealed that knockdown of DGCR9 inhibited GC tumour growth.
conclusionsOur proposed serum exosome ncRNA feature provides a promising liquid biopsy approach for enhancing the early diagnosis of GC.
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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.