Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2022 Jul 19;2022:6768139. doi: 10.1155/2022/6768139

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

Copyright © 2022 Ruisong Wang et al.

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PMC Copyright notice

Construction of a prognosis signature of 25 genes in prostate cancer (PRAD). (a) A total of 453 genes overlapped the marker genes, which were obtained from Figure 8(a), and the differentially expressed genes (DEGs) using the venn diagram. (b) Univariate Cox regression analysis revealed 53 genes significantly linked to the progression-free interval (PFI) at a p -value <0.05. (c) The coefficients of the 53 genes are shown using the lambda parameter. (d) The optimal genes are determined using LASSO regression analysis to construct the risk model. (e) Receiver operating characteristic (ROC) curve analysis for 1-, 3- and 5-year PFI using the TCGA training set. (f) Patients with PRAD in the TCGA cohort are listed in ascending order of risk score. (g) PFI distribution versus the risk score of each patient in the TCGA-PRAD cohort. (h) Kaplan–Meier curves of patients having different risk levels in the internal TCGA training set.