Ravi Salgia and colleagues at the University of Chicago have developed a standard operating procedure (SOP) for use with the REDCap system specifically formatted for use in thoracic oncology basic science research. The database tool was developed by researchers at Vanderbilt University but the application of such software for use with genomic and proteomic research will be described herein. This ready-to-use SOP describes forms which have been developed to gather translational data such as tumor tissue mutational analysis and tissue microarray, and purely scientific research, such as C. elegans studies. Advantages of REDCap include large storage size, which in this instance has been employed to capture videos documenting C.elegans motility, but can be used for numerous applications. Another advantage of REDCap is that sample data need not be limited to patients only within our institution; sample data from collaborating institutions may also be stored.

This SOP complements our previous Microsoft Access database template and eVelos (Oracle) database SOP, which may be licensed through this iBridge portal.

SOP Features:

• Tumor DNA mutational analysis form
• Tissue Microarray analysis form
• C. elegans study forms with motility videos
• Mesothelioma study with radiographic files

Potential Applications

• Ability to store up to 1 terabyte of data; useful for images or video files
• Multi-investigator data-sharing
• Rapid report generation through user-developed queries

DNA Specimens form: Origin, Patient identification, Histology, Stage, Amino acid change, Nucleotide change, Mutation type, 3D structure image

TMA form: Patient identification, TMA identification, Histology, Immunohistochemistry data for various proteins

C. elegans form: Receptor tyrosine kinase family, Gaps, Needle score, RNAi phenotype, Allele specific phenotype, video

Mesothelioma radiology: Patient demographics, Tumor location, Histology, Stage, Surgery history, Chemotherapy history, Imaging studies, Pleural thickness, Response to treatment

File Number: 2051 

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.

This work was supported in part by Grants from: NIH/NCI (3R01CA129501-02S1 & 5R01-CA129501-04 [especially supplemental award which was specifically geared to generate this large database]; 5R01CA125541-05 (especially for non-small cell lung cancer); 5R01CA100750-08 (especially for small cell lung cancer), 5R21CA14003-02, Guy Geleerd Memorial Foundation with the V Foundation, Respiratory Health Association of Metropolitan Chicago, and University of Chicago Thoracic Oncology Program Initiative (to Ravi Salgia). Francis L. Lederer Cancer Research Foundation and ASCO Translational Award (to Everett E. Vokes).

The REDCap project at the University of Chicago is hosted and managed by the Computation Institute and funded by the Initiative in Biomedical Informatics at the Biological Sciences Division and by the Institute for Translational Medicine, CTSA grant number UL1 RR024999 from the National Institutes of Health.