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Functional analysis of DNA methylation markers and cfDNA-based methRisk performance.

Title: Functional analysis of DNA methylation markers and cfDNA-based methRisk performance.
Authors: Ran Hu; Benjamin Tran; Shuo Li; Mary L. Stackpole; Weihua Zeng; Yonggang Zhou; Andrew Melehy; Saeed Sadeghi; Richard S. Finn; Xianghong Jasmine Zhou; Wenyuan Li; Vatche G. Agopian
Publication Year: 2025
Subject Terms: Biophysics; Cell Biology; Genetics; Biotechnology; Developmental Biology; Cancer; Infectious Diseases; Virology; Mathematical Sciences not elsewhere classified; staging significantly improved; radiographic imaging features; peripheral blood draw; multivariate cox model; improve treatment decision; early cancer diagnosis; discriminating patient outcomes; critical unmet need; cancer genome atlas; based risk score; 80 &# 8211; 68 &# 8211; pilot study demonstrating; new prognostic biomarkers; identified 158 hcc; 377 hcc tumors; noninvasive prognostic assessments; potential clinical utility; plasma cfdna samples; hepatocellular carcinoma based; stratify hcc patients
Description: (A) Composition of markers in terms of genome annotation. (B) KEGG pathway enrichment analysis, and GO enrichment analysis of biological pathways associated with the methylation marker-related genes. The bar charts show the top 10 enriched terms ranked by p-value. (C) Time-dependent AUCs for individual features predicting 3-year survival in the patient cohort with plasma samples. Error bars represent the 95% confidence intervals. The sample size (n) is annotated to the right of the error bar.
Document Type: still image
Language: unknown
DOI: 10.1371/journal.pone.0321736.g002
Availability: https://doi.org/10.1371/journal.pone.0321736.g002; https://figshare.com/articles/figure/Functional_analysis_of_DNA_methylation_markers_and_cfDNA-based_methRisk_performance_/28872248
Rights: CC BY 4.0
Accession Number: edsbas.692A46DE
Database: BASE