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 to amalgamate cohorts from these groups to find correlations between different data types with the possibility of finding "molecular signatures" based upon a combination of genetic mutations, galectin serum levels, glycan compositions, and patient clinical data and lifestyle choices. Our project provides a framework for an integrated, interactive, and growing database to analyze molecular and clinical patterns across cancer stages and subtypes and provides opportunities for increased diagnostic and prognostic power.

翻译：癌症的发生发展及临床病程受患者总体健康状况、胚系与肿瘤突变、共病及环境等多因素影响，因此需要精细化的癌症患者护理。为有效制定个体化治疗方案，此类多因素数据必须以易于获取和分析的方式呈现给医疗服务提供者。为满足这一需求，我们开发了一个关系型数据库，整合了癌症关键基因突变状态、血清半乳糖凝集素谱、血清与肿瘤糖组学谱，以及个体癌症患者的临床、人口统计学和生活方式数据点。该数据库作为后端系统，为医生和研究者提供单一、易访问的癌症分析数据存储库，以辅助和增强个体化治疗。我们的交互式数据库使医疗服务提供者能够整合来自不同组别的队列，发现不同数据类型之间的关联，并可能基于基因突变、半乳糖凝集素血清水平、聚糖组成、患者临床数据及生活方式选择的组合，识别“分子特征”。本项目为跨癌症分期及亚型分析分子与临床模式，构建了一个集成、交互且持续扩展的数据库框架，为提升诊断与预后能力提供了新机遇。