  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.
