Observational studyMolecular cancer2025
GUIDE: a prospective cohort study for blood-based early detection of gastrointestinal cancers using targeted DNA methylation and fragmentomics sequencing.
Observational study in Molecular cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05431621 (Establishment of Molecular Classification Models for Early Diagnosis of Digestive System Cancers), which is not on this map. Cited by 16 papers.
What it found
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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.
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.
Establishment of Molecular Classification Models for Early Diagnosis of Digestive System Cancers
Who cites it
16 citing papers in PubMed.
- Methylated ARHGAP40 in renal cell carcinoma associated with tumor necrosis and grade: a potential biomarker for non-invasive early detection.Virchows Archiv : an international journal of pathology · 2026Article
- Liquid Biopsy for Molecular Residual Disease Detection and Postoperative Surveillance in Gastric Cancer: Current Evidence and Future Directions.International journal of molecular sciences · 2026Review
- Protocol for detecting cancer in blood using targeted DNA methylation.STAR protocols · 2026Article
- Clinical validation of a multi-model blood cfDNA methylation assay for early-stage gastrointestinal cancer screening.Journal of advanced research · 2026Article
- Diagnostic Accuracy of Blood-Based cfDNA/ctDNA Tests for Colorectal Cancer-A Systematic Review and Meta-Analysis.Cancers · 2026Review
- Global Advances in Hepatocellular Carcinoma Research and Therapy in 2025.Cancer innovation · 2026Review
- Liquid biopsy biomarkers for early detection of gastrointestinal cancers: Current landscape and emerging technologies.Clinical and translational medicine · 2026Review
- Prognostic Value of Serum MMP9 in Predicting Mortality Among Elderly Patients with Sepsis: A Prospective Cohort Study.Journal of inflammation research · 2026Article
- Liquid biopsy, multi-cancer early detection, and artificial intelligence: new frontiers in cancer screening from a technological and immunological perspective.Frontiers in immunology · 2026Review
- Early detection of multiple cancers: the era of methylation-based liquid biopsy.Frontiers in oncology · 2026Review
- The Double-Edged Sword of Genomic DNA Methylation: Orchestrating Gastric Carcinogenesis and Shaping Precision Oncology.Oncology research · 2026Review
- Liquid Biopsy and Nonendoscopic Biomarkers for Precision Early Detection of Esophageal Cancer: Evidence, Risk Stratification and Translational Challenges.Journal of Cancer · 2026Review
- The INSPECTOR study: enhanced feasibility for clinical translation of a multi-cancer early detection method based on enzyme-assisted high signal-to-noise ratio sequencing of methylated circulating tumor DNA.Cancer communications (London, England) · 2025Article
- Review
- SFRP2 and RPRM as methylation based serum biomarkers for the detection of gastric cancer.Discover oncology · 2025Article
- Potential biomarkers in early detection of gastric cancer.Frontiers in pharmacology · 2025Review
Corrections and comments
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Authors and funding
29 authors.
Funding
Abstract
backgroundGastrointestinal (GI) cancers are among the most prevalent and lethal malignancies worldwide. Early, non-invasive detection is essential for timely intervention and improved survival. To address this clinical need, we developed GutSeer, a blood-based assay combining DNA methylation and fragmentomics for multi-GI cancer detection.
methodsGenome-wide methylome profiling identified 1,656 markers specific to five major GI cancers and their tissue origins. Based on these findings, we designed GutSeer, a targeted bisulfite sequencing panel, which was trained and validated using plasma samples from 1,057 cancer patients and 1,415 non-cancer controls. The locked model was blindly tested in an independent cohort of 846 participants, encompassing both inpatient and outpatient settings across five hospitals.
resultsIn the validation cohort, GutSeer achieved an area under the curve (AUC) of 0.950 [95% Confidence Interval (CI): 0.937-0.962] for cancer detection, with 82.8% sensitivity (95% CI: 79.5-86.0) and 95.8% specificity (95% CI: 94.3-97.2). It detected 92.2% of colorectal, 75.5% of esophageal, 65.3% of gastric, 92.9% of liver, and 88.6% of pancreatic cancers. The independent test cohort included 198 early-stage cancers (stage I/II, 66.4%) and 63 advanced precancerous lesions. GutSeer maintained robust performance, with 81.5% sensitivity (95% CI: 77.1-85.9) for GI cancers and 94.4% specificity (95% CI: 92.4-96.5). It also demonstrated the ability to detect advanced precancerous lesions in the colorectum, esophagus, and stomach as a single, non-invasive blood test.
conclusionsBy integrating DNA methylation and fragmentomics into a compact panel, GutSeer outperformed genome-wide sequencing in both accuracy and clinical applicability. Its high sensitivity for early-stage GI cancers and practicality as a non-invasive assay highlights its potential to revolutionize early cancer detection and improve patient outcomes.
trial registrationClinicalTrials.gov identifier: NCT05431621.
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