Time-dependent AUCs for individual features predicting 3-year survival in the cohort with tissue samples.
| Title: | Time-dependent AUCs for individual features predicting 3-year survival in the cohort with tissue samples. |
|---|---|
| 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: | Error bars represent the 95% confidence intervals. The sample size (n) is annotated to the right of the error bar. (TIF) |
| Document Type: | still image |
| Language: | unknown |
| DOI: | 10.1371/journal.pone.0321736.s003 |
| Availability: | https://doi.org/10.1371/journal.pone.0321736.s003; https://figshare.com/articles/figure/Time-dependent_AUCs_for_individual_features_predicting_3-year_survival_in_the_cohort_with_tissue_samples_/28872227 |
| Rights: | CC BY 4.0 |
| Accession Number: | edsbas.AFCFFCC9 |
| Database: | BASE |