Paper Details 
Original Abstract of the Article :
Multi-kinase inhibitors (MKIs) represent the best therapeutic option in advanced thyroid cancer patients. The therapeutic efficacy and toxicity of MKIs are very heterogeneous and are difficult to predict before starting treatment. Moreover, due to the development of severe adverse events, it is nece...See full text at original site
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引用元:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10049548/

データ提供:米国国立医学図書館(NLM)

Polymorphisms in Multi-Kinase Inhibitor Metabolism and Lenvatinib Side Effects in Advanced Thyroid Cancer

This research delves into the exciting realm of pharmacogenetics, a field that seeks to personalize medicine by understanding how genetic variations influence drug responses. The study focuses on patients with advanced thyroid cancer who are being treated with lenvatinib, a multi-kinase inhibitor (MKI). As we know, MKIs are potent drugs, but their effects can vary significantly from person to person. This research investigates how genetic variations in genes related to drug absorption and elimination (like those coding for cytochrome P450 enzymes and ATP-binding cassette transporters) might predict the occurrence and severity of side effects.

Genetic Variations Linked to Specific Side Effects

The researchers found that specific genetic variations were associated with certain side effects. For example, having the GG genotype for rs2242480 in the CYP3A4 gene and the CC genotype in rs776746 for the CYP3A5 gene were linked to an increased likelihood of hypertension. Additionally, those who were heterozygous for SNPs in the ABCB1 gene (rs1045642 and 2235048) had a higher chance of experiencing weight loss. The ABCG2 rs2231142 variant was found to be statistically associated with a greater severity of mucositis and xerostomia (CC genotype). These discoveries are quite intriguing, as they suggest that genetic testing could help to personalize lenvatinib treatment plans and potentially reduce the risk of severe side effects.

Predicting Side Effects and Optimizing Treatment

This research highlights the potential of pharmacogenetic testing to improve patient care. By understanding how genetic variations influence drug responses, clinicians can tailor treatment plans to better suit each individual patient. This approach could lead to more effective treatments and a reduction in adverse events. It's like having a personalized map of the desert, guiding you through the potentially treacherous terrain of drug therapy.

Dr. Camel's Conclusion

This research provides a glimpse into the fascinating world of pharmacogenetics and its potential to revolutionize cancer therapy. By understanding the genetic landscape of individual patients, we can develop more precise and effective treatment strategies. It's like navigating the vast and complex desert of cancer, with a compass and a map to guide us toward personalized solutions.
Date :
  1. Date Completed 2023-03-30
  2. Date Revised 2023-03-31
Further Info :

Pubmed ID

36982571

DOI: Digital Object Identifier

PMC10049548

SNS
PICO Info
in preparation
Languages

English

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