Investigating the determinants of immunotherapy response in the primary tumour of clear cell renal cell carcinoma

Cerise Tang1, Deepak Poduval1, Suzanna Lee2

  • 1Yale Center of Cellular and Molecular Oncology, Yale School of Medicine, New Haven, Connecticut, USA.

BMJ Oncology
|July 6, 2026
PubMed
Abstract

Insights

Molecular features in primary renal cell carcinoma (RCC) tumors before and after immune checkpoint inhibitor (ICI) treatment were analyzed. Pretreatment responders showed immune gene signatures, while non-responders exhibited T cell exhaustion markers.

Area of Science:

  • Oncology
  • Immunology
  • Genomics

Background:

  • Immune checkpoint inhibitors (ICIs) offer durable benefit for metastatic renal cell carcinoma (RCC) patients, but primary tumor molecular features predicting response are unclear.
  • Cytoreductive nephrectomy is less common, making primary tumor analysis crucial for understanding ICI response and RCC evolution during therapy.

Purpose of the Study:

  • To comprehensively analyze genomic and transcriptomic changes in paired pretreatment and post-treatment primary RCC tumors from patients treated with ICIs.
  • To identify molecular features associated with ICI response and tumor evolution in RCC.

Main Methods:

  • Multimodal analysis of 46 primary RCC tumor specimens (13 matched pairs) from 33 patients treated with ICIs.
  • Whole-exome and RNA sequencing performed on pretreatment biopsies and post-treatment nephrectomies.
  • Tumor samples categorized into responders and non-responders based on radiographic shrinkage.

Main Results:

  • Pretreatment biopsies from responders were enriched for immune-related gene programs, including B cell and tertiary lymphoid structure signatures.
  • Longitudinal analysis indicated a decline in immune pathways in responders and signatures of T cell exhaustion in non-responders.
  • The limited number of paired samples restricts statistical power and generalizability.

Conclusions:

  • Primary tumor profiling is valuable for understanding ICI response dynamics in RCC.
  • Identifying specific immune signatures in pretreatment tumors may help predict ICI efficacy.

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