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 7;15:913328. doi: 10.3389/fnmol.2022.913328

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

Copyright © 2022 Li, Jiang, Tang, Chen, Kong, Zou, Lin, Luo and Zou.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

PMC Copyright notice

Prediction of GBM patient survival based on candidate genes. (A) Areas under the receiver operating characteristic curve (AUCs), fold change in differential expression, and P value associated with candidate genes based on the datasets GSE16011, GSE7696, GSE50161, GSE90598, and TCGA. (B) Correlation of AUCs with the logistic regression model was identified using a Gaussian mixed model. (C) Distribution of candidate gene-based risk scores, recurrence-free survival (RFS) and gene expression levels in the GSE16011 dataset. (D) A predictive nomogram was constructed based on candidate genes and the GSE16011 dataset. (E) Agreement between nomogram-predicted and observed overall survival (OS) at one and 2 years. (F) Receiver operating characteristic curve for AEBP1 to predict OS at one, three, and 5 years.