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International Journal of Zoology and Applied Biosciences Research Article
Integrated oral cancer database: A shared resource for research and clinical insights
Chithra D, Lourdu Brissilla Mary Varghese, Kiran Kumar S, Kaaviya A A and Sujitha K
Year : 2025 | Pages: 494-498
Received on: 27/09/2025
Revised on: 19/10/2025
Accepted on: 25/11/2025
Published on: 01/12/2025
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Chithra D, Lourdu Brissilla Mary Varghese, Kiran Kumar S, Kaaviya A A and Sujitha K( 2025).
Integrated oral cancer database: A shared resource for research and clinical insights
. International Journal of Zoology and Applied Biosciences, 10( 6), 494-498.
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Abstract
Oral cancer remains a major global health challenge, with late-stage diagnosis and limited access to comprehensive clinical, molecular, and epidemiological data contributing to poor outcomes. The rapid growth of digital health technologies has created new opportunities to integrate heterogeneous datasets into unified research platforms. This study presents the development of an Integrated Oral Cancer Database (IOCD) designed as a shared, collaborative resource that consolidates patient clinical records, histopathological findings, imaging data, risk factors, genomic profiles, and therapeutic outcomes. The database employs standardized data models, interoperable frameworks, and secure access protocols to ensure high-quality data integration and usability for researchers and clinicians. The IOCD supports advanced analytics, including survival analysis, biomarker discovery, pattern recognition, and population-level assessments. By enabling cross-institutional data sharing and facilitating evidence-based decision making, the IOCD aims to enhance early detection strategies, improve prognostic accuracy, and foster translational research in oral oncology. The study highlights the database architecture, data acquisition pipeline, validation protocols, and potential applications in clinical and academic settings.
Keywords
Oral cancer, Integrated database, Clinical data integration, Cancer informatics, Digital health.
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© The Author(s) 2025. This article is published by International Journal of Zoology and Applied Biosciences under the terms of the Creative Commons Attribution 4.0 International License (creativecommons.org), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
