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An immune-related prognostic signature associated with immune landscape and therapeutic responses in gastric cancer. | LitMetric

AI Article Synopsis

  • Immune-related genes (IRGs) are being studied as potential therapies for tumors, but their specific roles in gastric cancer (GC) are not well understood.
  • This study analyzed data from TCGA and GEO databases to develop a prognostic risk signature based on IRGs, classifying patients into low-risk and high-risk groups.
  • Results showed that patients in the low-risk group had better outcomes, higher immune cell infiltration, and increased responsiveness to chemotherapy and immunotherapy, highlighting the potential for personalized treatment approaches.

Article Abstract

Immune-related genes (IRGs) have attracted attention in recent years as therapeutic targets in various tumors. However, the role of IRGs in gastric cancer (GC) has not been clearly elucidated. This study presents a comprehensive analysis exploring the clinical, molecular, immune, and drug response features characterizing the IRGs in GC. Data were acquired from the TCGA and GEO databases. The Cox regression analyses were performed to develop a prognostic risk signature. The genetic variants, immune infiltration, and drug responses associated with the risk signature were explored using bioinformatics methods. Lastly, the expression of the IRS was verified by qRT-PCR in cell lines. In this manner, an immune-related signature (IRS) was established based on 8 IRGs. According to the IRS, patients were divided into the low-risk group (LRG) and high-risk group (HRG). Compared with the HRG, the LRG was characterized by a better prognosis, high genomic instability, more CD8+ T cell infiltration, greater sensitivity to chemotherapeutic drugs, and greater likelihood of benefiting from the immunotherapy. Moreover, the expression result showed good consistency between the qRT-PCR and TCGA cohort. Our findings provide insights into the specific clinical and immune features underlying the IRS, which may be important for patient treatment.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008502PMC
http://dx.doi.org/10.18632/aging.204534DOI Listing

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