A study on the association between hyperlipidemia and hypothyroidism and the response to TKIs in metastatic renal

Yan Song1, Chunxia Du1, Wen Zhang1

  • 1Department of Medical Oncology, Cancer Hospital (Institute), Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.

Abstract

Insights

Hypothyroidism and hyperlipidemia may predict treatment response in metastatic renal cell carcinoma (mRCC) patients receiving vascular endothelial growth factor receptor-tyrosine kinase inhibitors (VEGFR-TKIs). These findings suggest potential biomarkers for VEGFR-TKI therapy efficacy.

Area of Science:

  • Oncology
  • Pharmacology
  • Endocrinology

Background:

  • Vascular endothelial growth factor receptor-tyrosine kinase inhibitors (VEGFR-TKIs) are a cornerstone treatment for metastatic renal cell carcinoma (mRCC).
  • Predictive biomarkers are crucial for optimizing VEGFR-TKI therapy in mRCC patients.

Purpose of the Study:

  • To investigate the association between treatment response to VEGFR-TKIs and the development of hyperlipidemia and hypothyroidism in mRCC patients.
  • To evaluate hypothyroidism and hyperlipidemia as potential predictive factors for VEGFR-TKI efficacy.

Main Methods:

  • Retrospective analysis of clinical data from 155 mRCC patients treated with first-line VEGFR-TKIs.
  • Survival analysis using Kaplan-Meier curves and Cox regression models.
  • Assessment of response rates (RR) and median progression-free survival (mPFS) in relation to endocrine and lipid profiles.

Main Results:

  • Hypothyroidism developed in 36.8% and hyperlipidemia in 54.9% of patients.
  • Patients with hypothyroidism or hyperlipidemia showed significantly higher response rates and longer mPFS compared to those without (P < 0.05).
  • A dose-dependent relationship was observed between the severity of hypothyroidism/hyperlipidemia and treatment outcomes.

Conclusions:

  • Hypothyroidism and hyperlipidemia are associated with improved response to VEGFR-TKIs in mRCC.
  • These conditions may serve as predictive biomarkers for VEGFR-TKI therapy.
  • Further large-scale studies are needed to validate these findings.

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