Open AccessOne Size Does Not Fit All: An Overview of Personalized Treatment in Cancer
Author(s) -
Sohini Kulavi,
Chandreyi Ghosh,
Moumita Saha,
Sirshendu Chatterjee
Publication year - 2021
Publication title -
journal of pharmaceutical research international
Language(s) - English
Resource type - Journals
ISSN - 2456-9119
DOI - 10.9734/jpri/2021/v33i28a31513
Subject(s) - cancer treatment , disease , cancer , personalized medicine , mutation , medicine , intensive care medicine , precision medicine , drug treatment , bioinformatics , computer science , gene , biology , genetics , pathology
The last few decades have witnessed 'one size fits all' kind of conventional treatment strategy i.e. a similar line of treatment or usage of the same drug to treat a particular disease. This approach is not associated with specific personal characteristics but with individual genetic constitutions. Precision oncology holds great opportunities to improve prediction, treatment and follow-up care for the benefit of cancer patients. In this study, many pieces of literature and various clinical data have been surveyed to understand how multiple genes are responsible for a particular cancer type and tabulate them. Having the genetic information of a patient and knowing the genes that are susceptible to mutation can help in the diagnosis. That in turn help to get the most tailored medicines, which will decrease the chances of treatment failure, which is quite common in cancer therapies. This review focuses on providing an idea of the genes whose mutation directly or indirectly can lead to cancer and other diseases also, and hence might be helpful to design separate treatment strategies for each individual in future.