Challenges and Opportunities in Implementing Molecular Diagnostics for Precision Oncology
Paper ID : 1161-IGA
Authors
Sarina Majdi *
Department of Biology, Faculty of Basic Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran
Abstract
Abstract
Background and Aim: Molecular diagnostics are crucial component of precision oncology, enabling personalized treatment strategies based on the unique molecular profile of each patient’s tumor. However, using these diagnostic technologies may face several challenges. This study aims to investigate the key challenges and opportunities associated with the implementation of molecular diagnostics in precision cancer therapy.
Methods: The key terms including “molecular diagnostics,” “precision oncology,” “implementation challenges,” “biomarkers,” and “healthcare access” were used to gather the reasech data. Relevant studies were sourced from databases including Google Scholar, PubMed, Clarivate, ScienceDirect, and Scopus. Peer-reviewed articles and clinical studies published in the last decade were reviewed and analyzed.
Results: The study highlights several major challenges in the implementation of molecular diagnostics, including the complexity of tumor heterogeneity, the need for standardized testing protocols, and the difficulty in interpreting genetic data. However, the review discusses numerous opportunities for implication of molecular diagnostics in precision cancer therapy, such as the integration of artificial intelligence for data analysis, the development of more comprehensive testing panels, and the potential for improved healthcare policies to enhance patient access to these vital diagnostic tools.
Conclusion: Although there are significant challenges to the implementation of molecular diagnostics in precision cancer therapy, there are also substantial opportunities to enhance their integration into clinical practice. By identifying the challenges and overcoming the barriers, molecular diagnostics can play a crucial role in advancing precision oncology and improving patient outcomes.
Keywords
Molecular diagnostics, Precision oncology, Implementation challenges
Status: Accepted