| Title: |
Schematic diagram of the study design. |
| 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: |
We utilized the TCGA dataset in a two-step feature selection process to identify 158 methylation markers that are associated with HCC and survival. We validated these markers’ prognostic value in our HCC tumor tissue samples. We then applied random survival forest with 10-fold cross-validation to predict the cfDNA methylation-based overall survival risk score (methRisk) for plasma samples of an independent patient cohort. Subsequent functional analysis and various metrics were used to evaluate the performance of the methRisk. Figure created with BioRender.com. |
| Document Type: |
still image |
| Language: |
unknown |
| Relation: |
https://figshare.com/articles/figure/Schematic_diagram_of_the_study_design_/28872245 |
| DOI: |
10.1371/journal.pone.0321736.g001 |
| Availability: |
https://doi.org/10.1371/journal.pone.0321736.g001; https://figshare.com/articles/figure/Schematic_diagram_of_the_study_design_/28872245 |
| Rights: |
CC BY 4.0 |
| Accession Number: |
edsbas.179B3A63 |
| Database: |
BASE |