Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/757
Title: Caisis: A Prostate Cancer Database Management System for Translational Research.
Epworth Authors: Howard, Nicholas
Corcoran, Niall
Peters, Justin
Moon, Daniel
Murphy, Declan
Kerger, Michael
Crowe, Helen
Xiberras, Peter
Hovens, Christopher
Costello, Anthony
Keywords: CAISIS
Database Management System
DBMS
Quality of Life Survey
RARP
Robotic Assisted Radical Prostatectomy
Diagnosis
Treatment
PSA
Data Collection
QoL
Surveys
Clinical Data
Specimen Collection
Australian Prostate Cancer Research Centre, Epworth HealthCare, Victoria, Australia
Epworth HealthCare, Richmond, Victoria, Australia.
Issue Date: Jul-2016
Conference: Epworth Research Institute Research Week 2016
Conference Location: Richmond, Victoria, Australia.
Abstract: INTRODUCTION & OBJECTIVES: Within Epworth Prostate Cancer Centre we are working towards new techniques for the diagnosis and treatment of prostate cancer. To do this, there was a need for high quality clinically annotated prostate cancer tissue, biological fluids and associated clinical data, as well as quality of lie (QoL) data to be stored in an easily accessible system. METHOD: We adopted "CAISIS" as our Database Management System (DBMS). CAISIS is a customisable, web-based, cancer specific DBMS. The system was developed at the Department of Urology at Memorial Sloan-Kettering Cancer Centre in 2002. Patients were recruited from the Epworth Hospital, where those undergoing robotic assisted radical prostatectomy (RARP) are consented pre-operatively for specimen and questionnaire collection. CAISIS has the ability to import/export data, and we have developed routines to allow easy updating from pathology providers. RESULTS: From 2003-2015 we consented 2,211 patients who underwent RARP in our institution for data and/or tissue collection. From these, 1,333 had their prostate cancer tissue and biological fluids preserved in Liquid Nitrogen. The information we collected from RARP patients included; Demographics, PSA data, Biopsy Details, Operating Details, Pathology Results, and QoL Surveys. We have collected pre-op PSA data on 99% of this cohort and clinical T-Stage data on 98%, compared to Post-Op PSA data on 93% and Pathological T-Stage data on 98%. We had a return rate of 80% for Pre-Op Surveys, and 71% for Post-Op Surveys. These data have been used to support downstream research and published studies. CONCLUSION: The benefits of using Caisis as our DBMS includes; useable on Smart Devices, Remote Access, Modifiable/Customisable, No Cost for initial Software, No limit on number of users, Support and access to development through the Caisis Support Community. These data can then be easily accessed and used by researchers to address specific questions of translational relevance.
URI: http://hdl.handle.net/11434/757
Type: Conference Poster
Affiliated Organisations: The Royal Melbourne Hospital.
Australian Prostate Cancer Research.
Peter MacCallum Cancer Centre
Department of Urology, Memorial Sloan-Kettering Cancer Centre
Type of Clinical Study or Trial: Cohort Study
Appears in Collections:Cancer Services
UroRenal, Vascular
Epworth Prostate Centre

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