Clinical Implications of Necroptosis Genes Expression for Cancer Immunity and Prognosis: A Pan-Cancer Analysis

• Published in: Frontiers in immunology 2022-06, Vol.13, p.882216-882216
• Main Authors: Li, Xin-yu, Su, Li-xin, Chen, Wen-Xue, Liu, Hui, Zhang, Lu-yu, Shen, Yu-Chen, You, Jian-Xiong, Wang, Jing-Bing, Zhang, Liming, Wang, Deming, Wen, Ming-Zhe, Wang, Zhenfeng, Shao, Yu-hao, Chen, De-Hu, Yang, Xi-tao
• Format: Article
• Language: English
• Subjects: cancer; genes; Immunology; necroptosis fate decisions; pan-cancer; tumor
• ISSN: 1664-3224; 1664-3224
• DOI: 10.3389/fimmu.2022.882216

BackgroundNecroptosis, a form of programmed cell death, is increasingly being investigated for its controversial role in tumorigenesis and progression. Necroptosis suppresses tumor formation and tumor development by killing tumor cells; however, the necrotic cells also promote tumor formation and tumor development via the immunosuppressive effect of necroptosis and inflammatory response caused by cytokine release. Thus, the exact mechanism of necroptosis in pan-cancer remains unknown. MethodsThe data of 11,057 cancer samples were downloaded from the TCGA database, along with clinical information, tumor mutation burden, and microsatellite instability information of the corresponding patients. We used the TCGA data in a pan-cancer analysis to identify differences in mRNA level as well as single nucleotide variants, copy number variants, methylation profiles, and genomic signatures of miRNA-mRNA interactions. Two drug datasets (from GDSC, CTRP) were used to evaluate drug sensitivity and resistance against necroptosis genes. ResultsNecroptosis genes were aberrantly expressed in various cancers. The frequency of necroptosis gene mutations was highest in lung squamous cell carcinoma. Furthermore, the correlation between necroptosis gene expression in the tumor microenvironment and immune cell infiltration varied for different cancers. High necroptosis gene expression was found to correlate with NK, Tfh, Th1, CD8_T, and DC cells. These can therefore be used as biomarkers to predict prognosis. By matching gene targets with drugs, we identified potential candidate drugs. ConclusionOur study showed the genomic alterations and clinical features of necroptosis genes in 33 cancers. This may help clarify the link between necroptosis and tumorigenesis. Our findings may also provide new approaches for the clinical treatment of cancer.