{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T08:30:05Z","timestamp":1786437005660,"version":"build-2736575974"},"reference-count":51,"publisher":"PeerJ","license":[{"start":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T00:00:00Z","timestamp":1786406400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"The Natural Science Foundation of Gansu Province","award":["24JRRA1090"],"award-info":[{"award-number":["24JRRA1090"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>An increasing body of evidence suggests an association between transient receptor potential (TRP) channel s and cancer development; however, a systematic evaluation of the combined prognostic value of TRP channel-related genes (TRGs) in gastric cancer (GC) has not been conducted.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Data were obtained from The Cancer Genome Atlas Stomach Adenocarcinoma, GSE84433, and TRGs. Prognostic genes related to TRP channels and GC were screened, and a risk model was constructed. Functional analysis, immune correlation analysis, and molecular regulatory network construction were performed to identify mechanisms associated with GC prognosis. Finally, the expression of prognostic genes was preliminarily assessed in clinical samples using reverse transcription quantitative polymerase chain reaction (RT-qPCR) for exploratory validation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Seven genes associated with GC prognosis (5-hydroxytryptamine 2C receptor (\n                      <jats:italic>HTR2C<\/jats:italic>\n                      ),\n                      <jats:italic>MAGEA11<\/jats:italic>\n                      ,\n                      <jats:italic>MAGEA3<\/jats:italic>\n                      , aspartoacylase (\n                      <jats:italic>ASPA<\/jats:italic>\n                      ),\n                      <jats:italic>GAD1<\/jats:italic>\n                      , Hedgehog-interacting protein (\n                      <jats:italic>HHIP<\/jats:italic>\n                      ), and\n                      <jats:italic>AHNAK<\/jats:italic>\n                      ) were identified. A risk model constructed from these genes demonstrated potential prognostic value for patient outcomes. A close association was observed between these genes and the differential abundance of immune cells. The strongest negative correlation was observed between AHNAK and T follicular helper cells. In addition, the prognostic genes were significantly negatively correlated with CD274, which is an immune checkpoint gene. Moreover, complex regulatory relationships among prognostic genes were observed in the regulatory network. Computational analysis predicted regulatory interactions, such as the regulation of\n                      <jats:italic>AHNAK<\/jats:italic>\n                      by EPB41L4A-AS1 and ERICD\n                      <jats:italic>via<\/jats:italic>\n                      hsa-miR-106a-5p. Finally, quantitative reverse transcription polymerase chain reaction (RT-qPCR) analysis revealed that the expression pattern of\n                      <jats:italic>MAGEA11<\/jats:italic>\n                      was consistent with that observed in public databases.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      Seven prognostic genes (\n                      <jats:italic>HTR2C<\/jats:italic>\n                      ,\n                      <jats:italic>MAGEA11<\/jats:italic>\n                      ,\n                      <jats:italic>MAGEA3<\/jats:italic>\n                      ,\n                      <jats:italic>ASPA<\/jats:italic>\n                      ,\n                      <jats:italic>GAD1<\/jats:italic>\n                      ,\n                      <jats:italic>HHIP<\/jats:italic>\n                      , and\n                      <jats:italic>AHNAK<\/jats:italic>\n                      ) related to TRP channels were identified in GC. These findings provide insight into potential prognostic mechanisms and a basis for further studies on their roles in GC biology.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.7717\/peerj.21468","type":"journal-article","created":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T08:00:21Z","timestamp":1786435221000},"page":"e21468","source":"Crossref","is-referenced-by-count":0,"title":["Investigation and validation of prognostic features associated with transient receptor potential channel genes in gastric cancer"],"prefix":"10.7717","volume":"14","author":[{"given":"Jinxia","family":"Zhao","sequence":"first","affiliation":[{"name":"Department of Radiotherapye, The Second Hospital of Lanzhou University, Lanzhou, China"},{"name":"Department of Oncology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou City, Gansu Province, 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