| Title: |
Enhancing noninvasive prognostic prediction with methRisk. |
| 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) The performances of features for OS prediction were assessed in the patient cohort with plasma samples. Error bars represent the 95% confidence intervals. The sample size (n) is annotated above the error bar. (B) A composite nomogram that integrates BCLC and methRisk for predicting 2-year, 3-year, and 4-year survival. To obtain the predicted survival probability, sum up the points corresponding to each feature and trace a vertical line from the total points to the survival rate scale. (C) The Kaplan-Meier survival curve for CCFI between HCC patients stratified by the median value of methRisk. The low-risk group (blue) and high-risk group (red) were compared using a two-sided log-rank test, with the associated p-value indicated. The HR was calculated via a univariate Cox proportional-hazard model. |
| Document Type: |
still image |
| Language: |
unknown |
| Relation: |
https://figshare.com/articles/figure/Enhancing_noninvasive_prognostic_prediction_with_methRisk_/28872260 |
| DOI: |
10.1371/journal.pone.0321736.g006 |
| Availability: |
https://doi.org/10.1371/journal.pone.0321736.g006; https://figshare.com/articles/figure/Enhancing_noninvasive_prognostic_prediction_with_methRisk_/28872260 |
| Rights: |
CC BY 4.0 |
| Accession Number: |
edsbas.55C7AC6E |
| Database: |
BASE |