Prognostic Inflammasome-Related Signature Construction in Kidney Renal Clear Cell Carcinoma Based on a Pan-Cancer Landscape

Tianyu Zheng; Xindong Wang; Peipei Yue; Tongtong Han; Yue Hu; Biyao Wang; Baohong Zhao; Xinwen Zhang; Xu Yan

doi:10.1155/2020/3259795

Prognostic Inflammasome-Related Signature Construction in Kidney Renal Clear Cell Carcinoma Based on a Pan-Cancer Landscape

Evid Based Complement Alternat Med. 2020 Apr 3:2020:3259795. doi: 10.1155/2020/3259795. eCollection 2020.

Authors

Tianyu Zheng¹, Xindong Wang², Peipei Yue³, Tongtong Han¹, Yue Hu¹, Biyao Wang¹, Baohong Zhao⁴, Xinwen Zhang⁴, Xu Yan¹

Affiliations

¹ The VIP Department, School and Hospital of Stomatology, Liaoning Provincial Key Laboratory of Oral Diseases, China Medical University, Shenyang 110002, China.
² Department of Orthopedics, The First Hospital of China Medical University, Shenyang 110001, China.
³ Department of Biochemistry and Molecular Biology, China Medical University, Shenyang 110001, China.
⁴ Center of Implant Dentistry, School and Hospital of Stomatology, Liaoning Provincial Key Laboratory of Oral Diseases, China Medical University, Shenyang 110002, China.

Abstract

Objective: To investigate the expression patterns and prognostic characteristics of inflammasome-related genes (IRGs) across cancer types and develop a robust biomarker for the prognosis of KIRC.

Methods: The differentially expressed IRGs and prognostic genes among 10 cancers were analyzed based on The Cancer Genome Atlas (TCGA) dataset. Subsequently, an IRGs risk signature was developed in KIRC. Its prognostic accuracy was evaluated by receiver operating characteristic (ROC) analysis. The independent predictive capacity was identified by stratification survival and multivariate Cox analyses. The gene ontology (GO) analysis and principal component analysis (PCA) were performed to explore biological functions of the IRGs signature in KIRC.

Results: The expression patterns and prognostic association of IRGs varied from different cancers, while KIRC showed the most abundant survival-related dysregulated IRGs. The IRG signature for KIRC was able to independently predict survival, and the signature genes were mainly involved inimmune-related processes.

Conclusions: The pan-cancer analysis provided a comprehensive landscape of IRGs across cancer types and identified a strong association between IRGs and the prognosis of KIRC. Further IRGs signature represented a reliable prognostic predictor for KIRC and verified the prognostic value of inflammasomes in KIRC, contributing to our understanding of therapies targeting inflammasomes for human cancers.