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 Sep 16;101(37):e30304. doi: 10.1097/MD.0000000000030304

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

Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc.

This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.

PMC Copyright notice

Figure 2. — LUSC classification pattern mediated by pyroptosis-related genes and relevant KEGG pathway enrichment. (A) The interaction of 41 pyroptosis regulators expressions in LUSC. The pyroptosis-related genes involving inflammasome pathways are shown on the left side of the circles. Yellow: canonical inflammasome pathway; Grey: non-canonical inflammasome pathway; Red: both inflammasome pathways. The lines represent the interaction of each pyroptosis gene and the size of the circles show the prognosis effect scaled by the P-value. Green: defensive factors for patient survival; Purple: risk factors for patients’ survival. (B) The consensus score matrix of all samples when k = 4 in TCGA and GEO cohorts (GSE17710, GSE30219, GSE37745, GSE41271, and GSE73403). (C) Overall survival curves of the 4 pyroptosis clusters based on 833 patients with LUSC (Log-rank test, P = .005). (D) A heatmap was used to visualize the variant pyroptosis-related gene expression among distinct pyroptosis clusters. Clinicopathological information including age, sex, stage, and survival status is revealed in the above annotations. Red: high expression; blue: low expression. (E–J) These heatmaps showed the KEGG pathway differences analyzed by GSVA between every 2 pyroptosis-related clusters with Bayes moderation. (E) A vs B; (F) A vs C; (G) A vs D; (H) B vs C; (J) C vs D; (I) B vs D. Yellow embodied the high expression and green embodied the low expression. GEO = gene expression omnibus, GSVA = gene set variation analysis, KEGG = Kyoto Encyclopedia of Genes and Genomes, LUSC = lung squamous cell carcinoma, TCGA = The Cancer Genome Atlas.