Identification of TRPM4 related genes in LUAD by RNA seq and spatial transcriptomics

Abstract Background Sodium overload-induced cell death is a novel mode of cell death that differs from other modes and is a very promising new target for cancer therapy. In addition, sodium overload-induced cell death plays a crucial role in cancer progression and patient prognosis. Therefore, our study aims to establish a survival prediction model for patients with lung adenocarcinoma (LUAD) based on related genes, exploring the immune landscape and providing new insights for future individualized treatment protocols. Method We analyzed the expression and clinical significance of TRPM4-related genes in LUAD using data from TCGA and GEO databases. We used transcriptomics, immune infiltration assays, and spatial transcriptomics (ST). Kaplan-Meier survival analysis was used to assess the relationship between TRPM4-related genes and prognosis. Enrichment analyses identified biological processes and pathways associated with TRPM4 and also assessed its relationship with the immune microenvironment and drug sensitivity. Results We identified 19 oncogenic driver genes and modeled proportional hazard regression. The results showed that the survival rate of the high-risk group was significantly reduced in both the training and testing sets. Additionally, the high-risk group exhibited lower levels of immune cell infiltration and immune checkpoint expression compared to the low-risk group. Based on 19 genes, LMNA, PPP2R1A, and PDXK were identified as key genes by single-cell sequencing and spatial transcriptome sequencing.