Pilot Study on the Impact of Polymorphisms Linked to Multi-Kinase Inhibitor Metabolism on Lenvatinib Side Effects in

Silvia Cantara1,2, Cristina Dalmiglio1, Carlotta Marzocchi1

  • 1Department of Medical, Surgical and Neurological Sciences, University of Siena, 53100 Siena, Italy.

Insights

Pharmacogenetics can predict lenvatinib side effects in advanced thyroid cancer. Specific gene variants in CYP3A4, CYP3A5, ABCB1, and ABCG2 correlate with hypertension, weight loss, and mucositis, aiding patient management.

Area of Science:

  • Pharmacogenomics
  • Oncology
  • Drug Metabolism

Background:

  • Multi-kinase inhibitors (MKIs) are a primary treatment for advanced thyroid cancer.
  • Treatment efficacy and toxicity vary significantly among patients and are hard to predict.
  • Severe adverse events often necessitate treatment interruption.

Purpose of the Study:

  • To investigate the association between genetic polymorphisms in drug-metabolizing enzymes and transporters and lenvatinib-induced adverse events in advanced thyroid cancer patients.
  • To explore the potential of a pharmacogenetic approach for predicting lenvatinib toxicity.

Main Methods:

  • A pharmacogenetic study involving 18 advanced thyroid cancer patients treated with lenvatinib.
  • Analysis of single nucleotide polymorphisms (SNPs) in CYP3A4, CYP3A5, ABCB1, and ABCG2 genes.
  • Correlation of genetic variants with specific adverse events including gastrointestinal issues, mucositis, hypertension, asthenia, and hand-foot syndrome.

Main Results:

  • Specific genotypes (CYP3A4 rs2242480 GG, CYP3A5 rs776746 CC) were linked to hypertension.
  • ABCB1 gene heterozygosity (rs1045642, rs2235048) correlated with increased weight loss.
  • ABCG2 rs2231142 CC genotype was associated with higher incidence of mucositis and xerostomia.
  • Certain genotypes in CYP3A4 and CYP3A5 were linked to worse treatment outcomes.

Conclusions:

  • Genetic profiling prior to lenvatinib treatment may help predict the occurrence and severity of certain side effects.
  • Pharmacogenetic evaluation could improve patient management strategies for advanced thyroid cancer.
  • Personalized medicine approaches using genetic markers show promise in optimizing MKI therapy.