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

. 2021 Jul 16;11:14611. doi: 10.1038/s41598-021-93998-9

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

© The Author(s) 2021

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/.

PMC Copyright notice

Alteration analyzed in RNA-sequencing data and identification of CTSA co-expressed genes. (A) The alteration and Expression Heatmap of CTSA in a cohort of 359 HCC patients (TCGA, Firehose Legacy) from the cBioPortal database. 7% queried genes in this cohort exhibited alteration. One mutational hotspot, L218Wfs*40/frameshift deletion mutation was labeled. (B) the Kaplan–Meier curve shows that the OS percentage of HCC patients with CTSA alterations (n = 25) is poorer than without CTSA alterations. (C–E) CTSA correlated target genes analysis in the linkedomics database. (C) The top 50 genes that are positively correlated to CTSA. (D) The top 50 genes that are negatively correlated to CTSA. (E) Volcano chart display CTSA Positively/Negatively Correlated Significant Genes. (F) 117 overlapping genes with Spearman's Correlation greater than 0.35 obtained in the cBioportal database and the LinkedOmics database were screened as co-expressed genes of CTSA. (G) The 117 co-expressed genes of CTSA were used to construct the PPI networks with a confidence score of > 0.900 (highest confidence). (H) The PPI network showed that the FTL, GRN, NPC2, HEXB, and PTGES2 protein can interact with CTSA.