Ravi Salgia and colleagues at the University of Chicago have developed a Microsoft Access Database Template specifically formatted for use in thoracic oncology clinical research. This ready-to-use template contains five tables comparing Patient, Sample Data, Tissue Microarray, Genomic and Literature fields. Users can readily customize the fields for their specific area of study, although the existing template has a highly detailed taxonomy that is easy to navigate and provides powerful data pivoting and graphing functions that simplifies the management and presentation of clinical, preclinical and other types of experimental data. The template is fully compatible with Microsoft Excel and Sharepoint as well as any Access-enabled application software which simplifies data sharing. The template can be licensed through this iBridge portal.

Template Features and Potential Applications:

• Detailed proteomic biomarker data
• SNP information and mutation status
• Detailed patient biometric data, medical history and environmental exposure information.
• Clinical diagnostic data fields
• Seamless data transfer to and from Excel files.
• Query patient information against tumor microarray, genetic and biomarker data fields.
• Template includes a Standard Operating Procedure (SOP) for data entry.

Potential Applications

• Map proteomic and genetic profiles to patient survival statistics
• Multi-investigator data-sharing of clinical and experimental information.
• Rapid report generation through user-developed queries.

Patient Data: cancer stage, histology/pathology data, drug treatment history, radiotherapy status, clinical trial identifiers, smoker status.

Sample Data Table: Specimen type, initial, recurrent or autopsy tumor.

Tumor Microarray Table: Biomarkers (EGF, c-Cbl, c-Met, Paxillin, pFak, etc) expression status, protein phosphorylation information, organ source, Tumor histology and tumor characterization.

File Number: 1894 

Web site: http://biomed.uchicago.edu/common/faculty/salgi...

Disease: Cancer

Other Information:

ACKNOWLEDGEMENTS

We would like to thank all of our colleagues at the University of Chicago who have given us invaluable advice. Also, this work is in honor of our thoracic oncology patients at the University of Chicago. In part, this was supported by Grants from: NIH/NCI (3R01CA129501-02S1 & 5R01-CA129501-03 [especially supplemental award which was specifically geared to generate this large database]; 5R01CA125541-04 (especially for non-small cell lung cancer); 5R01CA100750-07 (especially for small cell lung cancer), Guy Geleerd Memorial Foundation with the V Foundation, Respiratory Health Association of Metropolitan Chicago, Cancer Research Foundation (Goldblatt Award), and University of Chicago Thoracic Oncology Program Initiative (to Ravi Salgia).