ArticleScientific reports2025
Circulating DNA methylation-based diagnostic, prognostic, and predictive biomarkers in colorectal cancer.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Pre-Resection Endoscopic Features in T1 Colorectal Cancer Selected for Salvage Surgery After ESD/EID: An Exploratory Comparison of SM1 and SM2-3 Invasion.Journal of clinical medicine · 2026Article
- Development and preliminary validation of plasma cell-free DNA methylation-based diagnostic prediction model for colorectal cancer detection.Journal of gastrointestinal oncology · 2026Article
- Diagnostic Accuracy of Blood-Based cfDNA/ctDNA Tests for Colorectal Cancer-A Systematic Review and Meta-Analysis.Cancers · 2026Review
- DNMT1 promotes the malignant progression of colorectal cancer by silencing HOXD11 via promoter hypermethylation.Discover oncology · 2026Article
- Leukocyte Telomere Length Variants Are Independently Associated with Survival of Patients with Colorectal Cancer.Cancers · 2026Article
- Differential analysis of urinary stable downregulated proteins in male patients after colorectal cancer surgery.Frontiers in oncology · 2026Article
- Unlocking the Epigenetic Landscape of Colorectal Cancer: A Step Toward Epigenetics to Precision.Sub-cellular biochemistry · 2026Review
- Article
- Detection of methylated SEPT9 DNA in peripheral blood for diagnosis of colorectal cancer.Cancer biomarkers : section A of Disease markersArticle
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Authors and funding
15 authors.
Funding
Abstract
Plasma DNA methylation SEPTIN9, Syndecan 2 (SDC2), and Branched Chain Amino Acid Transaminase 1 (BCAT1) tests have served as valuable diagnostic, prognostic, and predictive markers for colorectal cancer (CRC). In this study, we analyzed data including 104 eligible CRC patients, 138 colorectal benign diseases, and 106 healthy subjects in our hospital from January 2019 to May 2023. This study was approved by the Medical Ethics Committee of Henan Cancer Hospital (Approval No.2018156). A real-time polymerase chain reaction-based gene panel was used to detect the methylation of SEPTIN9, SDC2, and BCAT1. The composite score (P) was calculated according to the cycle threshold (Ct) values of the three methylated genes using the logistic regression equation. The consistency of assay and pathological diagnosis were evaluated with kappa analyzed by IBM SPSS Statistics. The median survival time was obtained by Kaplan-Meier survival analysis. Statistical figures were all carried out using Origin software. The three genes were found to be significantly methylated in ctDNA of CRC patients compared to patients with colorectal benign diseases and healthy controls. The sensitivity was 86.1%, the specificity was 97.6%, and the area under the curve of 0.929. Positive predictive value (PPV) was 57.2%, and Negative predictive value (NPV) was 99.5%. No statistically significant differences in diagnostic efficiency were observed in relation to different types of stages. Moreover, there was a significant difference in the expression of composite scores between survival periods greater than 1 year and less than 1 year (p < 0.01). The composite score (P) derived from the ctDNA methylation levels of SEPTIN9, SDC2, and BCAT1 can be used for CRC diagnosis with high sensitivity and specificity. A combination of ctDNA methylation was proved to be an effective diagnostic, prognostic, and predictive biomarker in colorectal cancer.
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