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April 18, 2026European journal of medical researchOpen Access

Analysis of expression differences of immune genes in thyroid carcinoma based on TCGA and ImmPort data sets and the application of a prognostic model

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Authors

HLHuanzhang LinWHWeihao HuQZQishuo Zhang

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Overview

Analysis identifies immune gene expression differences in thyroid carcinoma, suggesting a new prognostic model.

Key Points

  • The study aims to create a prognostic model based on immune-related genes to enhance clinical management of thyroid carcinoma.
  • Utilized transcriptome data from TCGA and ImmPort databases.
  • Screened differentially expressed immune-related genes.
  • Employed Limma and Cox regression for identifying core genes.
  • Developed a prognostic signature based on five selected immune genes.
  • Eighty-two differentially expressed immune-related genes were identified.
  • High-risk THCA patients exhibited significantly reduced overall survival (P < 0.001).
  • The prognostic model had strong predictive accuracy (AUC = 0.834).
  • Risk scores correlated positively with dendritic cell infiltration.
  • Immunohistochemistry confirmed elevated expression of CXCL5/APOD in thyroid carcinoma tissues.

Cite This Study

Lin et al. (2026) studied this question.

synapsesocial.com/papers/69e31f7340886becb653ec08https://doi.org/10.1186/s40001-026-04418-5
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