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[Expression and clinical significance of SETD2 in maligant pleural mesothelioma].

Objective: To analyze the gene mutation profile in malignant pleural mesothelioma (MPM) and investigate the expression of high-frequency mutant genes and its relationship with clinicopathological parameters. To screen out key genes and clinicopathologic factors related to the prognosis of MPM patients. Methods: The second generation sequencing data, somatic mutation data and clinical pathological data of 86 MPM cases and gene chip expression data of 89 MPM cases were downloaded from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) in March 2020. Summarize the gene mutation profile of tissue samples in the TCGA database and analyze the relationship between the expression level of high-frequency mutation genes and the clinicopathological characteristics, asbestos exposure history and prognosis of MPM patients. The genes significantly related to MPM prognosis were screened out for gene set enrichment analysis (GSEA) . Survival analysis and GSEA were performed for the selected key genes and clinicopathological features verification using the microarray expression data from the GEO database. Results: The top 10 genes with highest single nucleotide variations frequencies were BAP1, NF2, TP53, TTN, SETD2, LATS2, CCDC168, FAT4, PTCH1 and ZNF469. The high expression rates of NF2, TP53, SETD2 and CCDC168 genes in wild type were higher than those of mutated type, and the differences were statistically significant (P<0.05) . Cox multivariate analysis of TCGA data showed that MPM patients with epithelial type (HR=0.425, 95%CI: 0.235-0.767, P<0.01) and SETD2 low expression (HR=0.516, 95%CI: 0.307-0.868, P=0.011) had lower risk of death. The survival analysis of GEO data verified that patients with epithelial type MPM had longer survival time, while patients with sarcoma type MPM had shortest survival time (P<0.01) . GSEA showed that SETD2 was involved in G2M checkpoint, E2F targets, MYC signaling pathways, protein secretion, mitotic spindle, MTORC1 pathway, TGF-β pathway, androgen response and uv response. Conclusion: MPM is accompanied with higher frequency of gene mutations represented by BAP1, NF2, TP53, TTN, SETD2, LATS2 and so on. SETD2 expression level and epithelia type of MPM may be influential factors for MPM prognosis.