| Title: |
Data preprocessing. |
| 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: |
Background The current noninvasive prognostic evaluation methods for hepatocellular carcinoma (HCC), which are largely reliant on radiographic imaging features and serum biomarkers such as alpha-fetoprotein (AFP), have limited effectiveness in discriminating patient outcomes. Identification of new prognostic biomarkers is a critical unmet need to improve treatment decision-making. Epigenetic changes in cell-free DNA (cfDNA) have shown promise in early cancer diagnosis and prognosis. Thus, we aim to evaluate the potential of cfDNA methylation as a noninvasive predictor for prognostication in patients with active, radiographically viable HCC. Methods Using Illumina HumanMethylation450 array data of 377 HCC tumors and 50 adjacent normal tissues obtained from The Cancer Genome Atlas (TCGA), we identified 158 HCC-related DNA methylation markers associated with overall survival (OS). This signature was further validated in 29 HCC tumor tissue samples. Subsequently, we applied the signature to an independent cohort of 52 patients with plasma cfDNA samples by calculating the cfDNA methylation-based risk score (methRisk) via random survival forest models with 10-fold cross-validation for the prognostication of OS. Results The cfDNA-based methRisk showed strong discriminatory power when evaluated as a single predictor for OS (3-year AUC = 0.81, 95% CI: 0.68–0.94). Integrating the methRisk with existing risk indices like Barcelona clinic liver cancer (BCLC) staging significantly improved the noninvasive prognostic assessments for OS (3-year AUC = 0.91, 95% CI: 0.80–1), and methRisk remained an independent predictor of survival in the multivariate Cox model (P = 0.007). Conclusions Our study serves as a pilot study demonstrating that cfDNA methylation biomarkers assessed from a peripheral blood draw can stratify HCC patients into clinically meaningful risk groups. These findings indicate that cfDNA methylation is a promising noninvasive prognostic biomarker for HCC, providing a proof-of-concept for its potential clinical ... |
| Document Type: |
article in journal/newspaper |
| Language: |
unknown |
| Relation: |
https://figshare.com/articles/journal_contribution/Data_preprocessing_/28871559 |
| DOI: |
10.1371/journal.pone.0321736.s001 |
| Availability: |
https://doi.org/10.1371/journal.pone.0321736.s001; https://figshare.com/articles/journal_contribution/Data_preprocessing_/28871559 |
| Rights: |
CC BY 4.0 |
| Accession Number: |
edsbas.10CCFE62 |
| Database: |
BASE |