Ravi Salgia and colleagues at the University of Chicago have developed a standard operating procedure (SOP) for use with the eVelos (Oracle) system specifically formatted for use in thoracic oncology clinical research. This ready-to-use SOP contains forms that gather clinical data and clinical research information. Users can readily customize the fields for their specific area of study, although the existing SOP includes a highly detailed taxonomy that is easy to navigate and simplifies the management and presentation of clinical data. The Oracle-based forms are designed to be utilized in both clinical and clinical research settings. This SOP complements our previous Microsoft Access database template, which may be licensed through this iBridge portal.

SOP Features:

• Detailed, longitudinal capture of patient biometric data, medical history information
• Detailed environmental exposure information
• Clinically relevant molecular marker annotation
• Seamless data transfer to and from Excel files.
• SOP for data entry

Potential Applications

• Ability to understand the interplay between molecular classification and response to treatments
• Multi-investigator data-sharing
• Rapid report generation through user-developed queries

Diagnosis Form: cancer site, histology, stage, grade, recurrence, vital status

Chemotherapy Form: chemotherapeutic agents given, dose, duration, toxicity

Radiation Therapy Form: type of therapy, dose, duration, toxicity

Surgery Form: type of surgery, result of surgery

Exposures and Comorbities Form: medical comorbidities, smoking history, alcohol history, asbestos exposure, radiation exposure, immunosuppresion

Molecular Classification Form: mutation, translocation, amplification, and expression data for clinically relevant molecular markers

The design and application of the Access database may be found in:

Surati M, Robinson M, Nandi S, Faoro L, Demchuk C, Kanteti R, Ferguson B, Gangadhar T, Hensing T, Hasina R, Husain A, Ferguson M, KarrisonT, Salgia R. Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research doi: 10.3791/2414. J Vis Exp. 47 (2011).

Surati M, Robinson M, Nandi S, Faoro L, Demchuk C, Rolle C, Kanteti R, Ferguson B, Hasina R, Gangadhar T, Salama A, Arif Q, Kirchner C, Mendonca E, Campbell N, Limvorasak S, Villaflor V, Hensing T, Krausz T, Vokes E, Husain A, Ferguson M, KarrisonT, Salgia R. Proteomic characterization of non-small cell lung cancer in a comprehensive translational thoracic oncology database. J Clin Bioinformatics. In press, accepted Jan 26, 2011.

File Number: 2004 

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, Cancer Research Foundation (Goldblatt Award), and University of Chicago Thoracic Oncology Program Initiative (to Ravi Salgia).