<![CDATA[Purpose: This study explores the transformative potential of precision medicine in oncology, highlighting advancements in targeted therapies and immunotherapies and addressing practical and theoretical challenges in clinical implementation. Research Design and Methodology: Utilizing a mixed-methods design, the study integrates quantitative data from a cross-sectional survey of oncologists and qualitative insights from in-depth interviews with key stakeholders. Advanced bioinformatics tools and multi-omics data (genomics, proteomics, and transcriptomics) are analyzed to identify novel therapeutic targets and biomarkers. Findings and Discussion: The findings show that precision medicine improves patient outcomes by tailoring treatments to tumors' genetic and molecular profiles. Targeted therapies, such as tyrosine kinase and epidermal growth factor receptor inhibitors, exhibit enhanced efficacy and reduced toxicity. Immunotherapy, remarkably immune checkpoint inhibitors, demonstrates significant promise but shows variability in patient responses, underscoring the need for predictive biomarkers. Integrating multi-omics data provides a comprehensive understanding of cancer biology and new therapeutic targets. Challenges include high costs, the need for robust bioinformatics infrastructure, and ethical considerations. Implications: This study underscores the need for investment in bioinformatics infrastructure, standardized guidelines, and training for healthcare providers. Policymakers should develop strategies to lower genetic testing costs and ensure equitable access to precision medicine. Future research should focus on cost-effective genomic testing methods, combination therapies to overcome resistance, and expanding studies to diverse populations to enhance the applicability and accessibility of precision medicine benefits.]]>
Copyrights © 2024
