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

. 2024 Apr 22;19:28. doi: 10.1186/s13062-024-00472-3

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

© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

PMC Copyright notice

Fig. 8 — ZNF692-TNK2 axis is an attractive candidate as a prognostic biomarker of osteosarcoma. (A) The proportion of patients in different sub-groups stratified by the number of up-regulated marker genes. ZNF692 and TNK2 expression was stratified by the corresponding medians by RNA-sequencing data from TCGA dataset, and the patients were divided into three groups as indicated. (B) Kaplan-Meier analysis of overall survival for osteosarcoma patients based on the number of upregulated marker genes. (C) Univariate and multivariate Cox regression analysis of the number of up-regulated makers and clinical features including gender and age in patients with osteosarcoma in TCGA database