PANoptosis-based molecular clustering and prognostic signature predicts patient survival and immune landscape in colon cancer

• DOI: 10.3389/fgene.2022.955355
• Publication Date: 2022-09-14T05:22:30Z
• Authors: Xu Wang; Rui Sun; Shixin Chan; Lei Meng; Yuanmin Xu; Xiaomin Zuo; Zhenglin Wang; Xianyu Hu; Qijun Han; Longfei Dai; Tao Bai; Zhen Yu; Ming Wang; Wenqi Yang; Huabing Zhang; Wei Chen
• Keywords: Nomogram

PANoptosis is a newly-discovered cell death pathway that involves crosstalk and co-ordination between pyroptosis, apoptosis, necroptosis processes. However, the roles of PANoptosis-related genes (PRGs) in prognosis immune landscape colon cancer remain widely unknown. Here, we performed bioinformatics analysis expression data nineteen PRGs identified from previous studies clinical patients obtained TCGA GEO databases. Colon cases were divided into two PRG clusters, prognosis-related differentially expressed (PRDEGs) identified. The patient then separated corresponding distinct gene relationship risk score, prognosis, was analyzed. clusters correlated with survival system cancer-related biological processes pathways. A signature based on seven identified, high-risk low-risk groups calculated score. nomogram model for prediction also developed score other features. Accordingly, group showed worse related to abundance, stem (CSC) index, checkpoint expression, response immunotherapy chemotherapeutic drugs. Results quantitative real-time polymerase chain reaction (qRT-PCR) LGR5 VSIG4 normal samples. In conclusion, demonstrated potential PANoptosis-based molecular clustering prognostic signatures tumor microenvironment (TME) cancer. Our findings may improve our understanding role cancer, enable development more effective treatment strategies.