Next Generation sequencing Facilitates Quantitative Analysis of α-KG and control Transcriptomes in MKN74 and AGS cell lines

In recent years, gastric cancer (GC) has garnered significant attention due to its poor response to treatment, unfavorable prognosis, and the lack of reliable biomarkers for predicting disease progression and therapeutic outcomes. α-Ketoglutarate (α-KG), a critical metabolite involved in cellular energy metabolism and epigenetic regulation during tumor development, has emerged as a potential prognostic biomarker for GC. To explore this potential, we utilized publicly available datasets from the TCGA and GEO databases to analyze α-KG-related genes and establish the α-KG Index (AKGI). By evaluating the predictive performance of the AKGI model, we confirmed its robust capability to predict survival outcomes in gastric cancer patients.By analyzing signaling pathways and biological functions correlated with AKGI, we elucidated the regulatory mechanisms and biological roles of α-KG in gastric cancer. These insights were validated through cellular experiments, where α-KG treatment was shown to significantly inhibit gastric cancer cell proliferation, migration, and invasion.Taken together, our data demonstrate AKGI offers a valuable framework for advancing our understanding of the role and mechanisms of α-KG in gastric cancer. AGS and MKN74 cell lines treated with α-KG and the control group, with three replicates per group, were analyzed for gene expression profiles using RNA seq data..