Comprehensive and user-analytics-friendly cancer patient database for physicians and researchers
Ali Firooz, Avery T. Funkhouser, Julie C. Martin, W. Jeffery, Edenfield, Homayoun Valafar, and Anna V. Blenda

TL;DR
This paper introduces an integrated, interactive cancer patient database that combines genetic, molecular, clinical, and lifestyle data to support personalized treatment and research.
Contribution
A novel relational database framework that consolidates multifactorial cancer data for enhanced analysis and individualized patient care.
Findings
Enables correlation analysis between genetic, molecular, and clinical data.
Supports identification of molecular signatures for cancer subtypes.
Facilitates personalized treatment strategies.
Abstract
Nuanced cancer patient care is needed, as the development and clinical course of cancer is multifactorial with influences from the general health status of the patient, germline and neoplastic mutations, co-morbidities, and environment. To effectively tailor an individualized treatment to each patient, such multifactorial data must be presented to providers in an easy-to-access and easy-to-analyze fashion. To address the need, a relational database has been developed integrating status of cancer-critical gene mutations, serum galectin profiles, serum and tumor glycomic profiles, with clinical, demographic, and lifestyle data points of individual cancer patients. The database, as a backend, provides physicians and researchers with a single, easily accessible repository of cancer profiling data to aid-in and enhance individualized treatment. Our interactive database allows care providers…
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Taxonomy
TopicsGalectins and Cancer Biology · Pancreatic and Hepatic Oncology Research · Glycosylation and Glycoproteins Research
