CT-Based Radiogenomic Prediction of ICAM1 and RAET1E as Biomarkers of NK Cytotoxicity in Clear Cell Renal Cell Carcinoma - Summary - MDSpire

CT-Based Radiogenomic Prediction of ICAM1 and RAET1E as Biomarkers of NK Cytotoxicity in Clear Cell Renal Cell Carcinoma

  • By

  • Ma, Xinwei

  • Yang, Jiao

  • Qian, Xusheng

  • Dou, Xin

  • Ji, Shiliang

  • Dai, Yakang

  • Yang, Yi

  • Wang, Yi

  • Zhu, Jianbing

  • May 20, 2026

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Objective:

To develop a noninvasive CT-based radiogenomic framework to estimate imaging-associated biomarkers related to natural killer (NK) cell cytotoxicity in clear cell renal cell carcinoma (ccRCC).

Key Findings:
  • Identified 835 imaging-associated genes enriched in immune-related pathways, particularly NK cell-mediated cytotoxicity.
  • ICAM1 and RAET1E showed the strongest radiogenomic associations with AUCs of 75.7% and 67.3%, respectively.
  • Higher ICAM1 and lower RAET1E expression correlated with advanced tumor stage and unfavorable survival outcomes.
  • External validation achieved predictive accuracies of 76.92% for ICAM1 and 73.08% for RAET1E.
Interpretation:

CT-derived radiomic features may provide noninvasive imaging correlates of biomarkers related to NK cytotoxicity in ccRCC.

Limitations:
  • Study relies on a single institution's data for initial analysis.
  • External validation sample size was limited to 26 cases.
Conclusion:

Radiogenomic analysis of ICAM1 and RAET1E may offer a complementary exploratory framework for noninvasive immune characterization and biomarker research in ccRCC.

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