Investigation and validation of prognostic features associated with transient receptor potential channel genes in gastric cancer


Abstract

Background. An increasing body of evidence suggests a potential association between Transient Receptor Potential (TRP) channels and cancer development, yet the prognostic value of TRGs in Gastric carcinoma (GC) has not been published.

Methods. Incorporating data from public databases TCGA-STAD, GSE84433, and TRGs, this study screened for prognostic genes related to TRP channels in GC and constructed a risk model. Furthermore, functional analysis, immune correlation analysis, and construction of molecular regulatory networks were conducted to further explore potential mechanisms related to GC prognosis. Finally, the expression of the prognostic genes was clinically authenticated by reverse transcription quantitative chain reaction (RT-qPCR).

Results: The study screened seven genes related to GC prognosis, namely HTR2C, MAGEA11, MAGEA3, ASPA, GAD1, HHIP, and AHNAK. A risk model constructed from these prognostic genes enables effective prediction of patient outcomes. Furthermore, a close association was observed between these prognostic genes and differential immune cells, such as the strongest negative correlation found between AHNAK and Tfh. Additionally, the prognostic genes are significantly negatively correlated with the immune checkpoint CD274 Lastly, complex regulatory relationships among prognostic genes were observed in the regulatory network . For example, EPB41L4A-AS1 and ERICD were found to regulate the expression of AHNAK via hsa-miR-106a-5p. Lastly, the expression validation results obtained via RT-qPCR established that the expression of MAGEA11 was congruent with the findings from public databases.

Conclusions: In this study, seven prognostic genes (HTR2C, MAGEA11, MAGEA3, ASPA, GAD1, HHIP, and AHNAK) related to TRP channels were identified in GC, providing insights into the prognostic mechanisms and personalized treatment of GC.

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