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Details

Autor(en) / Beteiligte
Titel
Tryptophan metabolism-related gene expression patterns: unveiling prognostic insights and immune landscapes in uveal melanoma
Ist Teil von
  • Aging (Albany, NY.), 2023-10, Vol.15 (20), p.11201-11216
Ort / Verlag
Impact Journals
Erscheinungsjahr
2023
Quelle
EZB Free E-Journals
Beschreibungen/Notizen
  • Uveal melanoma (UVM) remains the leading intraocular malignancy in adults, with a poor prognosis for those with metastatic disease. Tryptophan metabolism plays a pivotal role in influencing cancerous properties and modifying the tumor's immune microenvironment. In this study, we explore the relationship between tryptophan metabolism-related gene (TRMG) expression and the various features of UVM, including prognosis and tumor microenvironment. Our analysis included 143 patient samples sourced from public databases. Using K-means clustering, we categorized UVM patients into two distinct clusters. Further, we developed a prognostic model based on five essential genes, effectively distinguishing between low-risk and high-risk patients. This distinction underscores the importance of TRMGs in UVM prognostication. Combining TRMG data with gender to create nomograms demonstrated exceptional accuracy in predicting UVM patient outcomes. Moreover, our analysis reveals correlations between risk assessments and immune cell infiltrations. Notably, the low-risk group displayed a heightened potential response to immune checkpoint inhibitors. In conclusion, our findings underscore the dynamic relationship between TRMG expression and various UVM characteristics, presenting a novel prognostic framework centered on TRMGs. The deep connection between TRMGs and UVM's tumor immune microenvironment emphasizes the crucial role of tryptophan metabolism in shaping the immune landscape. Such understanding paves the way for designing targeted immunotherapy strategies for UVM patients.
Sprache
Englisch
Identifikatoren
ISSN: 1945-4589
eISSN: 1945-4589
DOI: 10.18632/aging.205122
Titel-ID: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10637787
Format
Schlagworte
Research Paper

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