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Personalized Management of Advanced Kidney Cancer

Jeffrey Graham1, Daniel Y C Heng1, James Brugarolas1

  • 1From the Tom Baker Cancer Centre, University of Calgary, Calgary, Alberta, Canada; Kidney Cancer Program, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX; Karmanos Cancer Institute, Wayne State University, Detroit, MI.

American Society of Clinical Oncology Educational Book. American Society of Clinical Oncology. Annual Meeting
|September 21, 2018
PubMed

Insights

Personalized medicine is advancing for advanced kidney cancer, but validated biomarkers are needed. This review explores prognostic and predictive factors for tailored treatment selection in renal cell carcinoma.

Area of Science:

  • Oncology
  • Translational Cancer Research
  • Biomarker Discovery

Background:

  • Renal cell carcinoma (kidney cancer) treatment has seen success through targeted therapies (VEGF, mTOR) and immuno-oncology.
  • Despite advances, validated prognostic and predictive biomarkers for advanced kidney cancer are lacking.
  • Tailored treatment selection is crucial due to multiple effective therapies available.

Purpose of the Study:

  • To review the current landscape of personalized care in metastatic renal cell carcinoma.
  • To focus on prognostic and predictive factors for kidney cancer treatment.
  • To explore the clinical applications of molecular biology in kidney cancer.

Main Methods:

  • Review of current literature on targeted therapies and immuno-oncology for renal cell carcinoma.
  • Analysis of prognostic clinical models like the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) model.
  • Exploration of emerging molecular markers and gene expression signatures.

Main Results:

  • Targeted therapies (VEGF, mTOR) and immuno-oncology agents have improved outcomes in kidney cancer.
  • The IMDC model is a validated prognostic tool, showing predictive capability for treatments including immune checkpoint inhibitors.
  • Promising molecular markers and gene signatures are under investigation but not yet clinically validated for treatment selection.

Conclusions:

  • Personalized care strategies are essential for optimizing treatment selection in advanced renal cell carcinoma.
  • Further research is needed to validate novel biomarkers for routine clinical use.
  • Integrating biological insights into clinical practice will enhance tailored treatment approaches for kidney cancer patients.

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