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Drug resistance profiles of mutations in the RET kinase domain.
Author: HilbergFrank, LiuXuan, MooersBlaine H M, ShenTao, WuJie
Original Abstract of the Article :
Alterations in the tyrosine kinase enzyme RET are found in thyroid and lung cancer. While RET TK inhibitors (TKIs) are used to treat thyroid cancer and are in clinical trials for RET fusion-positive non-small cell lung cancer, the impact of mutations in the RET kinase domain on drug sensitivity is l...See full text at original site
Dr.Camel's Paper Summary Blogラクダ博士について
ラクダ博士は、Health Journal が論文の内容を分かりやすく解説するために作成した架空のキャラクターです。
難解な医学論文を、専門知識のない方にも理解しやすいように、噛み砕いて説明することを目指しています。
* ラクダ博士による解説は、あくまで論文の要点をまとめたものであり、原論文の完全な代替となるものではありません。詳細な内容については、必ず原論文をご参照ください。
* ラクダ博士は架空のキャラクターであり、実際の医学研究者や医療従事者とは一切関係がありません。
* 解説の内容は Health Journal が独自に解釈・作成したものであり、原論文の著者または出版社の見解を反映するものではありません。
引用元:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6086982/
データ提供:米国国立医学図書館(NLM)
Fighting Cancer with Precision: Understanding Drug Resistance in RET Kinase Domain Mutations
Imagine a desert where different oases have varying levels of protection. This research explores the intricate world of cancer treatment, focusing on the RET kinase domain, a key target for drugs that inhibit the growth of cancer cells.
The Importance of Understanding Drug Resistance
The study investigates how mutations in the RET kinase domain affect the sensitivity of cancer cells to RET kinase inhibitors (TKIs). Understanding these resistance mechanisms is critical for developing effective treatment strategies.
Tailoring Treatment to Overcome Resistance
This study sheds light on the diverse drug resistance profiles associated with different mutations in the RET kinase domain. This knowledge can help guide the selection of appropriate TKIs and potentially lead to the development of new strategies to overcome resistance.
Dr. Camel's Conclusion
This research highlights the importance of precision medicine in cancer treatment. Just as a desert traveler seeks out the safest oasis, we must understand the unique characteristics of each tumor to develop the most effective treatment plan.
Date :
- Date Completed 2019-10-02
- Date Revised 2022-03-24
Further Info :
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