Determining Front-Line Therapeutic Strategy for Metastatic Clear Cell Renal Cell Carcinoma

Kevin K Zarrabi1, Oladimeji Lanade2, Daniel M Geynisman2

  • 1Sidney Kimmel Cancer Center, Department of Medical Oncology, Thomas Jefferson University, Philadelphia, PA 19107, USA.

Cancers
|October 14, 2022
PubMed

Insights

The evolving treatment for metastatic renal cell carcinoma involves immune checkpoint blockade and anti-angiogenesis combinations. Treatment selection requires careful consideration of tumor biology and clinical data due to limited head-to-head trial evidence.

Area of Science:

  • Oncology
  • Immunotherapy
  • Translational Medicine

Background:

  • Metastatic renal cell carcinoma (mRCC) treatment has shifted towards combination therapies.
  • Immune checkpoint inhibitors and anti-angiogenesis agents are key components of modern mRCC regimens.
  • Four combination therapies have gained approval since 2018, offering survival benefits in the front-line setting.

Purpose of the Study:

  • To address the complexity of treatment selection in mRCC.
  • To provide guidance on choosing optimal therapies amidst numerous options and limited head-to-head data.
  • To highlight the role of tumor biology heterogeneity and the unmet need for predictive biomarkers.

Main Methods:

  • Analysis of clinical data from landmark prospective trials in mRCC.
  • Review of disease features and treatment response nuances.
  • Evaluation of clinicopathologic parameters for patient-centered decision-making.

Main Results:

  • Treatment selection is complex due to multiple approved combination therapies.
  • Tumor biology heterogeneity impacts treatment responsiveness.
  • Lack of robust head-to-head data necessitates careful interpretation of existing trial results.

Conclusions:

  • Deferring upfront systemic therapy with active surveillance or metastasis-directed therapy is viable for some mRCC patients.
  • Upfront systemic therapy is indicated for others, requiring consideration of clinicopathologic factors.
  • Development and validation of predictive biomarkers are crucial for optimizing mRCC treatment selection.

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