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December 7, 2025Biotechnology and Applied Biochemistry

Developing a Radiotherapy and Immune‐Related Genes‐Based Prognostic Model to Predict Prognosis and Immune Microenvironment in Thyroid Cancer

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Authors

JCJianming ChengMZMin ZhangYYYu-Chan Yang

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Overview

Analysis reveals a prognostic model for thyroid cancer outcomes based on radiotherapy and immune-related biomarkers, indicating survival implications.

Key Points

  • Subjects with low risk score showed better survival outcomes, highlighting the predictive power of the model.
  • Forty differentially expressed immune-related genes were identified, with nine critical biomarkers affecting prognosis.
  • Analysis incorporated a nomogram and receiver operating characteristic curves for model efficacy assessment.
  • Distinct involvement of immune cell infiltration across risk categories suggests tailored therapeutic strategies for thyroid cancer.

Cite This Study

Cheng et al. (2025) studied this question.

synapsesocial.com/papers/694020ee2d562116f28fb0a5https://doi.org/10.1002/bab.70092
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  1. 1Analysis of expression differences of immune genes in thyroid carcinoma based on TCGA and ImmPort data sets and the application of a prognostic model2026
  2. 2A Prognostic Risk Model Based on Immune Genes in Thyroid Cancer and Its Correlation With Tumor‐Associated Immune Cell Infiltration Abundance2026
  3. 3Charting the immune terrain: a novel risk model for thyroid cancer prognosis2026
  4. 4Immune cell–related gene signatures for diagnostic and prognostic stratification in thyroid cancer using machine learning analysis2026 · 1 citations
  5. 5Transcriptome and experimental validation identify prognostic genes associated with lipotoxicity in thyroid carcinoma2026