Lactylation-related gene signature accurately predicts prognosis and immunotherapy response in gastric cancer

作者：Xuezeng Sun, Haifeng Dong, Rishun Su, Jingyao Chen, Wenchao Li, Songcheng Yin, Changhua Zhang · 发表于：Frontiers in Oncology · 年份：2024 · DOI：10.3389/fonc.2024.1485580 · 被引用次数：20 · 研究领域：Cancer, Hypoxia, and Metabolism、Immune cells in cancer、Ferroptosis and cancer prognosis

Background Gastric cancer (GC) is a malignant tumor associated with significant rates of morbidity and mortality. Hence, developing efficient predictive models and directing clinical interventions in GC is crucial. Lactylation of proteins is detected in gastric cancer tumors and is linked to the advancement of gastric cancer. Methods The The Cancer Genome Atlas (TCGA) was utilized to analyze the gene expression levels associated with lactylation. A genetic pattern linked to lactylation was created using Univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression. The predictive ability of the model was evaluated and confirmed in the Gene Expression Omnibus (GEO) cohort, where patients were divided into two risk groups based on their scores. The study examined the relationship between gene expression and the presence of immune cells in the context of immunotherapy treatment. In vitro cytotoxicity assays, ELISA and PD-1 and PD-L1interaction assays were used to assess the expression of PD-L1 while knocking down SLC16A7. Results 29 predictive lactylation-related genes with differential expression were discovered. A signature consisting of three genes was developed and confirmed. Patients who had higher risk scores experienced worse clinical results. The group with lower risk showed increased Tumor Immune Dysfunction and Exclusion (TIDE) score and greater responsiveness to immunotherapy. The tumor tissues secrete more lactate acid than normal t...