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September 10, 2025Medical Research

GEPIA-Based Identification of Differentially Expressed Genes and Prognostic Biomarkers in Skin Cutaneous Melanoma

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Authors

YZYu ZhangPYPingfang YANGNGang Nie

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Overview

Bioinformatics analysis finds differentially expressed genes in skin cutaneous melanoma, suggesting implications for survival rates.

Key Points

  • A total of 6,457 significantly upregulated genes were identified in skin cutaneous melanoma, indicating distinct expression profiles.
  • Key prognostic genes include EIF5AP4 and UBE2S, both associated with reduced overall survival, while SERPINE2 suggests improved outcomes.
  • This analysis utilized the GEPIA database to explore gene expression and its correlation with patient survival outcomes.
  • The findings may provide insights into potential therapeutic targets and prognostic tools for assessing skin cutaneous melanoma.

Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/68c1954e9b7b07f3a0618a57https://doi.org/10.6913/mrhk.070304
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