[Precision Medicine for Patients with Renal Cell Carcinoma Based on Drug-metabolizing Enzyme Expression Levels]

Jun Matsumoto1

  • 1Department of Personalized Medicine and Preventive Healthcare Sciences, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University.

Insights

Renal cell carcinoma (RCC) treatment advances include tyrosine kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs). This review examines how kidney and RCC enzyme expression, like CYP and UGT, may impact TKI+ICI therapy outcomes.

Area of Science:

  • Oncology
  • Pharmacology
  • Biochemistry

Background:

  • Recent advances in renal cell carcinoma (RCC) treatment include tyrosine kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs).
  • Current first-line therapy for metastatic RCC (mRCC) combines TKIs and ICIs, but optimal selection remains unclear.
  • Kidneys express metabolic enzymes like Cytochrome P450 (CYP) and Uridine Diphosphate Glucuronosyltransferase (UGT), with altered profiles in RCC.

Purpose of the Study:

  • To review CYP and UGT enzyme expression profiles in RCC.
  • To examine the potential relationship between these enzyme profiles and treatment outcomes in RCC patients.
  • To explore how enzyme expression might influence resistance to anti-cancer drugs like TKIs.

Main Methods:

  • Literature review of published papers on CYP and UGT expression in kidney and RCC.
  • Analysis of existing data on enzyme expression levels and their correlation with treatment outcomes.
  • Discussion of the potential role of endogenous substrate metabolism by these enzymes in cancer prognosis.

Main Results:

  • Specific CYP and UGT subtypes are highly expressed in the kidney and altered in RCC.
  • High CYP expression in cancers may contribute to resistance to TKIs via enhanced drug metabolism.
  • Altered CYP and UGT expression may influence RCC prognosis through endogenous metabolism.

Conclusions:

  • Understanding CYP and UGT expression profiles in RCC is crucial for optimizing TKI+ICI therapies.
  • Enzyme expression may predict treatment response and patient prognosis in RCC.
  • Further research is needed to elucidate the precise mechanisms linking enzyme activity to therapeutic outcomes.