Mapping therapy-responsive immune ecotypes in clear cell renal cell carcinoma through integrative omics

Zheng Zhang1, Lijun He2, Bin Chen1

  • 1Department of Radiotherapy, Suzhou Ninth People's Hospital, Suzhou, China.

Insights

Understanding the immune microenvironment in clear cell renal cell carcinoma (ccRCC) is key to improving immunotherapy. This review explores immune-ecological states to better stratify patients and tailor treatments for advanced kidney cancer.

Area of Science:

  • Oncology
  • Immunology
  • Cancer Biology

Background:

  • Clear cell renal cell carcinoma (ccRCC) involves complex interactions between VHL loss, HIF signaling, and immune activity.
  • Current immunotherapy (ICI) benefits only a subset of advanced ccRCC patients, with biomarkers like PD-L1 and TMB being insufficient for prediction.
  • Immune infiltration does not guarantee an effective antitumor response, as T cells can be dysfunctional or suppressed by the tumor microenvironment.

Purpose of the Study:

  • To provide an immune-ecological perspective on ccRCC immunotherapy response.
  • To identify and discuss distinct immune states within the ccRCC tumor microenvironment relevant to treatment.
  • To explore advanced profiling techniques for defining these immune states and guiding treatment strategies.

Main Methods:

  • Review of current literature on ccRCC immunology and immunotherapy.
  • Analysis of immune-ecological concepts applied to cancer.
  • Discussion of various omics and profiling techniques (e.g., single-cell, spatial, TCR sequencing, metabolomics).

Main Results:

  • Identified key immune states in ccRCC: T-cell-inflamed but dysfunctional, myeloid-dominant suppressive, angiogenesis- and hypoxia-skewed, and immune-excluded.
  • Highlighted the limitations of current biomarkers in predicting immunotherapy response.
  • Emphasized the need to understand the specific failures within the antitumor response rather than just immune 'hotness' or 'coldness'.

Conclusions:

  • An immune-ecological framework offers a more nuanced understanding of ccRCC immunotherapy response.
  • Advanced profiling techniques can define tumor immune ecotypes and track treatment-induced changes.
  • This approach may enable more precise patient stratification and the development of mechanism-matched immunotherapies for ccRCC.