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Comparing Metastatic Clear Cell Renal Cell Carcinoma Model Established in Mouse Kidney and on Chicken Chorioallantoic Membrane
Published on: February 8, 2020
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.
Abstract:
Clear cell renal cell carcinoma (ccRCC) is a kidney cancer in which immune activity is closely intertwined with von Hippel-Lindau (VHL) loss, hypoxia-inducible factor (HIF) signaling, angiogenesis, hypoxia, and metabolic adaptation. Although immune checkpoint inhibitor (ICI)-based regimens have changed the treatment landscape of advanced ccRCC, only a subset of patients achieve durable benefit. Commonly used biomarkers, such as programmed death-ligand 1 (PD-L1) expression, tumor mutation burden (TMB), and broad inflammatory gene signatures, have not been sufficient to explain this variation or to guide routine treatment selection. One reason is that immune infiltration in ccRCC is not synonymous with effective antitumor immunity. A tumor rich in CD8+ T cells may still be resistant if these cells are exhausted, metabolically restricted, spatially separated from tumor nests, or surrounded by suppressive myeloid, stromal, and vascular programs. Therefore, the key issue is not simply whether a tumor is immunologically "hot" or "cold," but which part of the antitumor response has failed. In this Mini Review, we discuss ccRCC immunotherapy response from an immune-ecological perspective. We focus on several treatment-relevant immune states, including T-cell-inflamed but dysfunctional tumors, myeloid-dominant suppressive tumors, angiogenesis- and hypoxia-skewed tumors, and immune-excluded tumors. We also consider how bulk transcriptomics, single-cell and spatial profiling, T-cell receptor sequencing, proteomics, metabolomics, and longitudinal liquid biopsy may help define these ecotypes and capture treatment-induced remodeling. This perspective may support more refined patient stratification and more mechanism-matched immunotherapy strategies in ccRCC.
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.