Molecular Pathology in Precision Oncology Integrating Genomic Profiling, Biomarker Discovery and Artificial Intelligence for Personalized Cancer Therapy

Dr. Priya Sharma, Yashswi Chauhan, Neha

Molecular Pathology; Precision Oncology; Genomic Profiling; Biomarker Diagnostics; Artificial Intelligence in Oncology; Personalized Cancer Therapy.

Precision oncology has emerged as a transformative approach in cancer care by tailoring treatment strategies according to the molecular characteristics of individual tumors. Molecular pathology plays a central role in this paradigm by enabling the identification of genetic mutations, molecular biomarkers, and signaling pathways that drive tumor development and progression. This cross-sectional analytical study examines the evolving role of molecular pathology in precision oncology using 258 molecular pathology cases. NGS-based profiling demonstrated the strongest clinical impact on treatment outcomes (F=7.34, p=0.001), with the majority of cases demonstrating at least one actionable molecular alteration. The study highlights the growing importance of integrating molecular pathology, computational diagnostics, and precision medicine frameworks in modern oncology practice.

[1] Bera, K., Schalper, K. A., Rimm, D. L., Velcheti, V., & Madabhushi, A. (2019). Artificial intelligence in digital pathology – new tools for diagnosis and precision oncology. Nature Reviews Clinical Oncology, 16(11), 703–715.
[2] Masood, S. (2020). Breast cancer subtypes: Morphologic and biologic characterization. Women’s Health, 12(3), 330–339.
[3] Ogino, S., Nowak, J. A., Hamada, T., & Milner, D. A. (2016). Insights into pathogenic interactions among environment, host, and tumor at the crossroads of molecular pathology and epidemiology. Annual Review of Pathology, 11, 217–238.
[4] Signoretti, S., Flaifel, A., Chen, Y. B., & Bhatt, D. (2018). Renal cell carcinoma in the era of precision medicine. Journal of Clinical Oncology, 36(36), 3608–3615.
[5] Tsimberidou, A. M., et al. (2023). Clinical tumor boards and precision oncology outcomes. Journal of Clinical Oncology, 41(10), 1862–1872.
[6] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and Learning analytics for enhanced distance learning: transformation in education. In AI and learning analytics in distance learning (pp. 179-206). IGI Global Scientific Publishing.
[7] Ashifa, K. M. (2019). Developmental initiatives for persons with disabilities: Appraisal on village-based rehabilitation of Amar Seva Sangam. Indian Journal of Public Health Research & Development, 10(12), 1257–1261.
[8] Rasi, R. A., & Ashifa, K. M. (2019). Role of community-based programmes for active ageing: Elders self-help group in Kerala. Indian Journal of Public Health Research & Development, 10(12).
[9] Ashifa, K. M. (2020). Effect of substance abuse on physical health of adolescents. European Journal of Molecular & Clinical Medicine, 7(2), 3155–3160.
[10] Ashifa, K. M. (2020). Physical health hazards of schizophrenia patients. Systematic Reviews in Pharmacy, 11(12), 1848–1850.
[11] Ashifa, K. M. (2021). Analysis on the determinants of health status among tribal communities. Journal of Cardiovascular Disease Research, 12(3), 531–534.
[12] Ashifa, K. M. (2021). Health status of primitive tribal women in India. Journal of Cardiovascular Disease Research, 12(5), 772.
[13] Ashifa, K. M. (2022). A situation analysis of the social well-being of elderly during the COVID-19 pandemic. International Journal of Health Sciences, 6(3), 10156–10163.
[14] Ashifa, K. M., & Ramya, P. (2019). Health afflictions and quality of work life among women working in fireworks industry. International Journal of Engineering and Advanced Technology, 8(6S3), 1723–1725.
[15] Basha, R., Pathak, P., Sudha, M., Soumya, K. V., & Arockia Venice, J. (2025). Optimization of quantum dilated convolutional neural networks: Image recognition with quantum computing. Internet Technology Letters, 8(3), e70027.
[16] Catherine, S., Gupta, N., Gopi, E., & Swadhi, R. (2025). Enhancing Patient Engagement and Outcomes Through Digital Transformation: Machine Learning in Medical Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 285-312). IGI Global Scientific Publishing.
[17] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision Medicine, Personalized Treatment, and Network-Driven Innovations: Transforming Healthcare With AI. In AI for Large Scale Communication Networks (pp. 303-322). IGI Global Scientific Publishing.
[18] Elkin, N., Mohammed, A. K., Kilincel, S., Soydan, A. M., Tanriver, S. C., Celik, S., & Ranganathan, M. (2025). Mental health literacy and happiness among university students: A social work perspective to promoting well-being. Frontiers in Psychiatry, 16, 1541316.
[19] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Striking a Balance: Mental Health Challenges and Work-Life Integration among Women Faculty in Indian B-Schools. Texila International Journal of Public Health, 13(2).
[20] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Strategic Role of Human Resource Management in Enhancing Occupational Health and Safety Practices in Business Schools in India. Texila International Journal of Public Health, 13(2).
[21] Jenifer, R. D., Vettriselvan, R., Saxena, D., Velmurugan, P. R., & Balakrishnan, A. (2025). Green Marketing in Healthcare Advertising: A Global Perspective. In AI Impacts on Branded Entertainment and Advertising (pp. 303-326). IGI Global Scientific Publishing.
[22] Kariveliparambil, A., Rasi, R. A., Ahmad, M. S., Oztas, N., & Ayan, F. S. (2026). Evolving Social Capital in Indigenous Communities: Perspectives on Trust, Reciprocity, and Cultural Preservation Among Irula Elders. Journal of Social Service Research, 52(1), 147–166.
[23] Mustafa, N., Zahoor, H., Gamil, R. E., Ashifa, K. M., & Safaei, M. (2026). Empowering future caregivers: the role of self-leadership in reducing stress among nursing students. International Journal of Innovation and Learning, 39(1), 74-103.
[24] Kavitha D, Dr. A. S. Aneeshkumar (2026). Advanced AI-Driven Techniques for Prostate Cancer Prediction, Telematique, 25(1), pp. 104-121.
[25] Natraj, N. A., Abirami, T., Ananthi, K., Venice, J. A., Chandru, R., & Rathish, C. R. (2024). The Impact of 5G Technology on the Digital Supply Chain and Operations Management Landscape. In Applications of New Technology in Operations and Supply Chain Management (pp. 289-311). IGI Global Scientific Publishing.
[26] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[27] Shanthi, H. J., Gokulakrishnan, A., Sharma, S., Deepika, R., & Swadhi, R. (2025). Leveraging Artificial Intelligence for Enhancing Urban Health: Applications, Challenges, and Innovations. In Nexus of AI, Climatology, and Urbanism for Smart Cities (pp. 275-306). IGI Global Scientific Publishing.
[28] Swadhi, R., Gayathri, K., Suresh, N. V., Catherine, S., & Velmurugan, P. R. (2025). Leveraging Machine Learning for Enhanced Patient Engagement and Outcomes: Revolutionizing Healthcare Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 313-340). IGI Global Scientific Publishing.
[29] Swadhi, R., Velmurugan, P. R., Mahalingam, U., Keerthana, R., & Padmavathy, N. (2026). Embedding Fairness and Resilience: Human-Centered Leadership in AI-Driven Workplaces. In Centering Positive Organizational Cultures Through Human-Centered Leadership (pp. 139-162). IGI Global Scientific Publishing.
[30] Venice, J. A., Arivazhagan, D., Suman, N., Shanthi, H. J., & Swadhi, R. (2025). Recommendation systems and content personalization: algorithms, applications, and adaptive learning. In AI for Large Scale Communication Networks (pp. 323-348). IGI Global Scientific Publishing.
[31] Venice, J. A., Vettriselvan, R., Rajesh, D., Suresh, N. V., & Abirami, P. (2025). Enabling personalized learning and adaptive systems through strategic management: cloud integration in education. In Bridging Academia and Industry Through Cloud Integration in Education (pp. 49-72). IGI Global Scientific Publishing.
[32] A. S. Aneeshkumar, C. Jothi Venkateswaran (2013). An Approach of Data Mining for Predicting the Chances of Liver Disease in Ectopic Pregnant Groups, Special Issue of International Journal of Computer Applications,The International Conference on Communication, Computing and Information Technology (ICCCMIT), International Journal of Computer Applications, Issue 2, pp. 19-22.
[33] Venice, J. A., Vettriselvan, R., Jain, S., Madusudanan, K., & Aarthy, C. C. J. (2025). Performance Evaluation and Metrics in Blockchain Powered AI/ML: Data Analytics for Cognitive Internet of Things (CIoT). In Transforming Education With AI-Powered Personalized Learning (pp. 143-178). IGI Global Scientific Publishing.
[34] Venice, A., Swadhi, R., Gayathri, K., Chandra, P., & Sajana, K. P. (2026). Rehabilitation Robotics and Adaptive Motion Planning for Patient-Centric Care. In Intelligent Motion Control for Human-Centered Systems (pp. 51-76). IGI Global Scientific Publishing.
[35] Vettriselvan, R. (2025). Harnessing innovation and digital marketing in the era of industry 5.0: resilient healthcare SMEs. In The Future of Small Business in Industry 5.0 (pp. 163-186). IGI Global Scientific Publishing.
[36] Vettriselvan, R., & Anto, M. R. (2018). Pathetic health status and working condition of Zambian women. Indian Journal of Public Health Research & Development, 9(9), 259-264.
[37] Vettriselvan, R., & Rajan FSA, A. J. (2019). Occupational Health Issues Faced by Women in Spinners. Indian Journal of Public Health Research & Development, 10(1).
[38] Vettriselvan, R., Deepan, A., Jaiswani, G., Balakrishnan, A., & Sakthivel, R. (2025). Health Consequences of Early Marriage: Examining Morbidity and Long-Term Wellbeing. In Social, Political, and Health Implications of Early Marriage (pp. 189-212). IGI Global Scientific Publishing.
[39] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026). Empowering Patients through Knowledge: Educational Strategies in Rehabilitation. In Holistic Approaches to Health Recovery (pp. 263-290). IGI Global Scientific Publishing.
[40] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Catherin, T. C., & Deepika, R. (2025). Sustainability and Responsibility in the Digital Era: Leveraging Green Marketing in Healthcare. In Digital Citizenship and Building a Responsible Online Presence (pp. 285-306). IGI Global Scientific Publishing.
[41] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Velmurugan, P. R., & Hasine, J. (2025). Strategic Collaborations in Medical Innovation and AI-Driven Globalization: Advancing Healthcare Startups. In Navigating Strategic Partnerships for Sustainable Startup Growth (pp. 85-110). IGI Global Scientific Publishing.
[42] Zahoor, H., Mustafa, N., Ashifa, K. M., Safaei, M., & El Gamil, R. (2025). Unlocking resilience: Emotional intelligence and self-leadership shape stress perception among health students. International Journal of Innovation and Learning, 38(4), 395–419.