ArticleAmerican journal of cancer research2022
SEPTIN9-SDC2-VIM methylation signature as a biomarker for the early diagnosis of colorectal cancer.
Article in American journal of cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Diagnostic Accuracy of Blood-Based cfDNA/ctDNA Tests for Colorectal Cancer-A Systematic Review and Meta-Analysis.Cancers · 2026Review
- Evaluating plasma and tissue biopsy for DNA methylation markers in early colorectal cancer detection: a systematic review.Asian biomedicine : research, reviews and news · 2025Article
- cfOmics: a cell-free multi-Omics database for diseases.Nucleic acids research · 2024Article
- Advancements in the clinical application of gene methylation for early cancer detection.Frontiers in epigenetics and epigenomics · 2024Review
- DNA Methylation in the Fields of Prenatal Diagnosis and Early Detection of Cancers.International journal of molecular sciences · 2023Review
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Authors and funding
9 authors.
Funding
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Abstract
The accurate detection of colorectal cancer (CRC) at its initial stage can reduce mortality. However, the broad application of endoscopy has been limited due to the invasive procedure and patient noncompliance. Liquid biopsy with subsequent mapping of methylation in specific cell-free DNA (cfDNA) may represent an alternative approach for early diagnosis. In this study, we have developed a minimal-invasive blood-based test for detection of precancerous lesions and early-stage CRC. Using TCGA M450K methylation data, we identified candidate methylation sites with the highest Fold Change (FC) for three genes (SEPTIN9, SDC2 and VIM), which were selected from previous studies. Based on logistic regression models, we developed a 3-gene methylation signature for CRC diagnosis with high accuracy (Sensitivity =0.959, Specificity =1, AUC =0.997). Using independent public databases and data from blood samples, this model has demonstrated superior performance. The AUC was 0.919-1 and 0.905-0.916 in public tissue database for CRC and blood sample data, respectively. Thus, our proposed 3-gene methylation signature has a more reliable performance than other methods. Furthermore, signal enhancement effect of 3-gene methylation signature can improve the accuracy of early diagnosis for CRC, which demonstrates the potential for clinical application.
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Identifiers
35968354PMC9360219What OpenQuestion holds
Registered trials
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