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Heritable and spatial immunogenic traits co-predict the efficacy of immunotherapy in kidney cancer

A machine learning-derived gene signature that integrates germline HLA characteristics with a distinct spatial community of CD8+ T cells and tumor-associated macrophages showing immunogenic interactions is predictive of the response to immunotherapy in patients with advanced kidney cancer.

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Fig. 1: Antigenicity-relevant macrophage–CD8+ T cell interactions drive immunotherapy benefit in kidney cancer.


  1. Saliby, R. M. et al. Update on biomarkers in renal cell carcinoma. Am. Soc. Clin. Oncol. Educ. Book 44, e430734 (2024). This comprehensive review article highlights the current state of the art on biomarkers in RCC.

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This is a summary of: Kinget, L. et al. A spatial architecture-embedding HLA signature to predict clinical response to immunotherapy in renal cell carcinoma. Nat. Med. (2024).

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Heritable and spatial immunogenic traits co-predict the efficacy of immunotherapy in kidney cancer. Nat Med 30, 1537–1538 (2024).

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