{"title":"Precision Medicine and Pharmacogenetics: Stratification and Improved Outcome in Non-Small Cell Lung Cancer","authors":"Aamir Ahmad","doi":"10.35516/jjps.v16i2.1474","DOIUrl":null,"url":null,"abstract":"Lung cancer is the most common cancer globally, accounting for a quarter of all cancer-related deaths. Non-small cell lung cancer (NSCLC) is the major lung cancer subtype. Research in the last few decades has led to the identification of key molecular targets resulting in targeted therapies, such as the use of tyrosine kinase inhibitors (TKIs) targeting epidermal growth factor receptors (EGFR). EGFR-TKIs themselves have evolved through few generations based on the knowledge gained from gene mutations in the EGFR leading to therapy resistance. As part of pharmacogenetics, it is well known that patients often respond differentially to different therapies, based on their genetic makeup. This has opened up avenues for precision medicine in the treatment of NSCLC patients with the identification of EGFR mutations and the most optimum treatment strategy. Since time is of the essence, it is critical that the NSCLC patients be administered a therapy that they are most likely to respond to. Evolving data validates this notion and it is expected that such an approach will invariably lead to improved patient outcomes.","PeriodicalId":14719,"journal":{"name":"Jordan Journal of Pharmaceutical Sciences","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jordan Journal of Pharmaceutical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35516/jjps.v16i2.1474","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Pharmacology, Toxicology and Pharmaceutics","Score":null,"Total":0}
引用次数: 1
Abstract
Lung cancer is the most common cancer globally, accounting for a quarter of all cancer-related deaths. Non-small cell lung cancer (NSCLC) is the major lung cancer subtype. Research in the last few decades has led to the identification of key molecular targets resulting in targeted therapies, such as the use of tyrosine kinase inhibitors (TKIs) targeting epidermal growth factor receptors (EGFR). EGFR-TKIs themselves have evolved through few generations based on the knowledge gained from gene mutations in the EGFR leading to therapy resistance. As part of pharmacogenetics, it is well known that patients often respond differentially to different therapies, based on their genetic makeup. This has opened up avenues for precision medicine in the treatment of NSCLC patients with the identification of EGFR mutations and the most optimum treatment strategy. Since time is of the essence, it is critical that the NSCLC patients be administered a therapy that they are most likely to respond to. Evolving data validates this notion and it is expected that such an approach will invariably lead to improved patient outcomes.
期刊介绍:
The Jordan Journal of Pharmaceutical Sciences (JJPS) is a scientific, bi-annual, peer-reviewed publication that will focus on current topics of interest to the pharmaceutical community at large. Although the JJPS is intended to be of interest to pharmaceutical scientists, other healthy workers, and manufacturing processors will also find it most interesting and informative. Papers will cover basic pharmaceutical and applied research, scientific commentaries, as well as views, reviews. Topics on products will include manufacturing process, quality control, pharmaceutical engineering, pharmaceutical technology, and philosophies on all aspects of pharmaceutical sciences. The editorial advisory board would like to place an emphasis on new and innovative methods, technologies, and techniques for the pharmaceutical industry. The reader will find a broad range of important topics in this first issue.