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A Syngeneic Mouse Model of Metastatic Renal Cell Carcinoma for Quantitative and Longitudinal Assessment of Preclinical Therapies
Published on: April 12, 2017
Novel emerging biomarkers to immunotherapy in kidney cancer
1Department of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Abstract:
The treatment of metastatic renal cell carcinoma has significantly evolved in recent years, particularly with the advent of novel immune checkpoint inhibitors (ICI). Despite the striking benefits observed on a population level, outcomes vary and some patients do not respond to ICI-based regimens, ultimately require salvage therapies. An ever deeper understanding of the disease biology mediated by the development of multiple high-throughput molecular omics has led to significant progress in biomarkers discovery. But despite growing insights into the molecular underpinnings of the tumor microenvironment, biomarkers have not been integrated successfully into clinical practice. In this review, we discuss some of the novel emerging predictive biomarkers to ICIs in metastatic renal cell carcinoma.
Insights
Novel biomarkers are emerging for metastatic renal cell carcinoma (mRCC) patients treated with immune checkpoint inhibitors (ICI). Understanding these predictive markers could improve treatment selection and patient outcomes in mRCC.
Area of Science:
- Oncology
- Immunotherapy
- Genomics
Background:
- Metastatic renal cell carcinoma (mRCC) treatment has advanced with immune checkpoint inhibitors (ICIs).
- Patient responses to ICIs vary, necessitating effective salvage therapies for non-responders.
- Molecular omics technologies have accelerated biomarker discovery for mRCC.
Purpose of the Study:
- To review emerging predictive biomarkers for immune checkpoint inhibitor (ICI) therapy in metastatic renal cell carcinoma (mRCC).
- To bridge the gap between molecular insights and clinical application of biomarkers in mRCC treatment.
Main Methods:
- Review of recent scientific literature on molecular omics and biomarker discovery in mRCC.
- Analysis of emerging predictive biomarkers associated with ICI response in mRCC.
Main Results:
- Significant progress has been made in identifying molecular underpinnings of the tumor microenvironment in mRCC.
- Despite advancements, predictive biomarkers for ICI therapy have not been widely integrated into clinical practice for mRCC.
Conclusions:
- Emerging predictive biomarkers show promise for personalizing ICI treatment in mRCC.
- Further research and clinical validation are needed to integrate these biomarkers into standard mRCC care.
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