Cancer Genetics and Epigenetics 2024, Vol.12, No.3, 157-165 http://medscipublisher.com/index.php/cge 157 Review and Progress Open Access Application of Cancer Mutation Analysis in Drug Development YongCheng Physicov Med. Tech. Ltd., Zhejiangr, Zhuji, 311800, Zhejiang, China Corresponding email: 2741098603@qq.com Cancer Genetics and Epigenetics, 2024, Vol.12, No.3 doi: 10.5376/cge.2024.12.0018 Received: 10 May, 2024 Accepted: 12 Jun., 2024 Published: 27 Jun., 2024 Copyright © 2024 Cheng, This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Preferred citation for this article: Cheng Y., 2024, Application of cancer mutation analysis in drug development, Cancer Genetics and Epigenetics, 12(3):157-165 (doi: 10.5376/cge.2024.12.0018) Abstract The application of cancer mutation analysis in drug development offers new opportunities for personalized treatment, better meeting patient needs while reducing unnecessary treatments and potential side effects. Additionally, it revolutionizes drug development by accelerating the research and approval of new drugs. With the resolution of data management and privacy issues, the strengthening of interdisciplinary collaboration, and continuous technological advancements, cancer mutation analysis will continue to play a critical role in the future. This study aims to explore the key role of cancer mutation analysis in drug development, summarizing its methods and applications. It elaborates on genomic sequencing technologies and bioinformatics tools and databases, highlighting the importance of cancer mutation analysis in clinical applications. The goal is to promote the broad application of cancer mutation analysis, providing more effective treatment options for patients. Keywords Cancer; Mutation analysis; Drug development; Personalized treatment; Immunotherapy Cancer is a serious health issue that is widespread globally. According to the World Health Organization, cancer is one of the leading causes of death worldwide (Mattiuzzi and Lippi, 2019). Each year, millions of people are diagnosed with various types of cancer, and the incidence of cancer is on the rise. Cancer imposes a significant physical and psychological burden on patients and has a substantial impact on their families and society. Therefore, understanding the epidemiological characteristics of cancer is crucial for developing prevention and treatment strategies. Despite significant medical advances in recent decades, cancer treatment remains a formidable challenge. Traditional treatments, such as radiotherapy and chemotherapy, are effective for certain types of cancer but have limited efficacy for others. These treatments often come with adverse reactions and side effects, causing suffering for patients. Additionally, drug resistance and tumor recurrence complicate cancer treatment further. Therefore, new methods and strategies are urgently needed to improve the effectiveness of cancer therapy. Different types of cancer have distinct molecular characteristics, necessitating personalized treatment approaches to address specific situations. Global epidemiological studies of cancer have revealed variations in cancer incidence across different geographic regions and population groups (Liu et al., 2021), providing essential information for developing region-specific cancer prevention and control strategies. Mutation analysis is a critical component of personalized medicine and precision medicine. By gaining a deep understanding of mutations in cancer-related genes, we can support the development of more targeted treatment methods. The purpose of this review is to explore the application of cancer mutation analysis in drug development. By gaining a deeper understanding of the classification, characteristics, and clinical applications of cancer mutations, this review focuses on gene mutations and mutation analysis technologies and how they influence cancer treatment and drug development. The review emphasizes the importance of cancer mutation analysis in formulating personalized treatment plans and advancing the field of drug development. It aims to provide an in-depth understanding of the latest advances and future potential of cancer mutation analysis in drug development to promote the development of more effective cancer treatment methods.
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