ArticleCancer science2024
Plasma cell-free DNA methylome-based liquid biopsy for accurate gastric cancer detection.
Article in Cancer science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Noninvasive detection and differentiation of gastric malignancy using cell-free DNA biomarkers.Journal of advanced research · 2026Article
- Biomarkers in Gastric Cancer: Blood Biomarkers, Liquid Biopsy, Artificial Intelligence, and Risk-Stratified Care.Cancers · 2026Review
- Liquid biopsies for the diagnosis of early-stage gastric cancer: A 5-year systematic review.The journal of liquid biopsy · 2026Review
- Circulating cell-free methylated DNA immunoprecipitation sequencing (cfMeDIP-seq) in oncology: from technological advances to clinical applications.NPJ precision oncology · 2026Review
- Early detection of gastric cancer with the assistance of cell-free DNA fragmentomics.Clinical epigenetics · 2026Article
- Systematic Review of Methods for Measuring Circulating Cell-Free DNA in Plasma of Healthy Individuals.Diagnostics (Basel, Switzerland) · 2026Review
- Current status and advances in research on the impact and mechanisms of atmospheric pollutants on gastric cancer: a narrative review.Translational cancer research · 2026Review
- Hepatocellular Carcinoma Precursor Lesions: From Pathological Basis to Risk Stratification and Precision Intervention.Journal of hepatocellular carcinoma · 2026Review
- From Tumor Biology to Clinical Perspectives: Novel Biomarkers and Therapeutic Insights in Gastric Cancer.Oncology research · 2026Review
- Therapy-educated fibroblast states link treatment pressure to residual disease and acquired resistance in gastric cancer.Frontiers in immunology · 2026Review
- The inflammation-epigenetics axis in gastric cancer: Helicobacter-driven field defects, immune escape, and therapeutic frontiers.Frontiers in immunology · 2026Review
- Advances in epigenetics of gastric cancer.Oncology reviews · 2026Review
- Bladder cancer diagnostic and prognostic models from DNA methylation by multi algorithm machine learning.NPJ precision oncology · 2025Article
- Cell-free DNA methylation and fragmentomics-based liquid biopsy for accurate esophageal cancer detection.BMC cancer · 2025Article
- 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 · 2025Article
- A Novel Microfluidic Platform for Circulating Tumor Cell Identification in Non-Small-Cell Lung Cancer.Micromachines · 2025Article
- SFRP2 and RPRM as methylation based serum biomarkers for the detection of gastric cancer.Discover oncology · 2025Article
- A prediction model based on cfDNA concentration and cfDNA methylation biomarkers for lung cancer detection.Scientific reports · 2025Article
- Genome-Wide cfDNA Methylation Profiling Reveals Robust Hypermethylation Signatures in Ovarian Cancer.Cancers · 2025Article
- Beyond Biomarkers: Machine Learning-Driven Multiomics for Personalized Medicine in Gastric Cancer.Journal of personalized medicine · 2025Review
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Authors and funding
8 authors.
Funding
Abstract
Early detection plays a critical role in mitigating mortality rates linked to gastric cancer. However, current clinical screening methods exhibit suboptimal efficacy. Methylation alterations identified from cell-free DNA (cfDNA) present a promising biomarker for early cancer detection. Our study focused on identifying gastric cancer-specific markers from cfDNA methylation to facilitate early detection. We enrolled 150 gastric cancer patients and 100 healthy controls in this study, and undertook genome-wide methylation profiling of cfDNA using cell-free methylated DNA immunoprecipitation and high-throughput sequencing. We identified 21 differentially methylated regions (DMRs) between the gastric tumor and nontumor groups using multiple algorithms. Subsequently, using the 21 DMRs, we developed a gastric cancer detection model by random forest algorithm in the discovery set, and validated the model in an independent set. The model was able to accurately discriminate gastric cancer with a sensitivity and specificity of 93.90% and 95.15% in the discovery set, respectively, and 88.38% and 94.23% in the validation set, respectively. These results underscore the efficacy and accuracy of cfDNA-derived methylation markers in distinguishing early stage gastric cancer. This study highlighted the significance of cfDNA methylation alterations in early gastric cancer detection.
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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 Socratic graph.