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The Chicago Thoracic Oncology Database Consortium: A Multisite Database Initiative
Objective: An increasing amount of clinical data is available to biomedical researchers, but specifically designed database and informatics infrastructures are needed to handle this data effectively. Multiple research groups should be able to pool and share this data in an efficient manner. The Chic...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4833499/ https://www.ncbi.nlm.nih.gov/pubmed/27092293 http://dx.doi.org/10.7759/cureus.533 |
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author | Won, Brian Carey, George B Tan, Yi-Hung Carol Bokhary, Ujala Itkonen, Michelle Szeto, Kyle Wallace, James Campbell, Nicholas Hensing, Thomas Salgia, Ravi |
author_facet | Won, Brian Carey, George B Tan, Yi-Hung Carol Bokhary, Ujala Itkonen, Michelle Szeto, Kyle Wallace, James Campbell, Nicholas Hensing, Thomas Salgia, Ravi |
author_sort | Won, Brian |
collection | PubMed |
description | Objective: An increasing amount of clinical data is available to biomedical researchers, but specifically designed database and informatics infrastructures are needed to handle this data effectively. Multiple research groups should be able to pool and share this data in an efficient manner. The Chicago Thoracic Oncology Database Consortium (CTODC) was created to standardize data collection and facilitate the pooling and sharing of data at institutions throughout Chicago and across the world. We assessed the CTODC by conducting a proof of principle investigation on lung cancer patients who took erlotinib. This study does not look into epidermal growth factor receptor (EGFR) mutations and tyrosine kinase inhibitors, but rather it discusses the development and utilization of the database involved. Methods: We have implemented the Thoracic Oncology Program Database Project (TOPDP) Microsoft Access, the Thoracic Oncology Research Program (TORP) Velos, and the TORP REDCap databases for translational research efforts. Standard operating procedures (SOPs) were created to document the construction and proper utilization of these databases. These SOPs have been made available freely to other institutions that have implemented their own databases patterned on these SOPs. Results: A cohort of 373 lung cancer patients who took erlotinib was identified. The EGFR mutation statuses of patients were analyzed. Out of the 70 patients that were tested, 55 had mutations while 15 did not. In terms of overall survival and duration of treatment, the cohort demonstrated that EGFR-mutated patients had a longer duration of erlotinib treatment and longer overall survival compared to their EGFR wild-type counterparts who received erlotinib. Discussion: The investigation successfully yielded data from all institutions of the CTODC. While the investigation identified challenges, such as the difficulty of data transfer and potential duplication of patient data, these issues can be resolved with greater cross-communication between institutions of the consortium. Conclusion: The investigation described herein demonstrates the successful data collection from multiple institutions in the context of a collaborative effort. The data presented here can be utilized as the basis for further collaborative efforts and/or development of larger and more streamlined databases within the consortium. |
format | Online Article Text |
id | pubmed-4833499 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-48334992016-04-18 The Chicago Thoracic Oncology Database Consortium: A Multisite Database Initiative Won, Brian Carey, George B Tan, Yi-Hung Carol Bokhary, Ujala Itkonen, Michelle Szeto, Kyle Wallace, James Campbell, Nicholas Hensing, Thomas Salgia, Ravi Cureus Other Objective: An increasing amount of clinical data is available to biomedical researchers, but specifically designed database and informatics infrastructures are needed to handle this data effectively. Multiple research groups should be able to pool and share this data in an efficient manner. The Chicago Thoracic Oncology Database Consortium (CTODC) was created to standardize data collection and facilitate the pooling and sharing of data at institutions throughout Chicago and across the world. We assessed the CTODC by conducting a proof of principle investigation on lung cancer patients who took erlotinib. This study does not look into epidermal growth factor receptor (EGFR) mutations and tyrosine kinase inhibitors, but rather it discusses the development and utilization of the database involved. Methods: We have implemented the Thoracic Oncology Program Database Project (TOPDP) Microsoft Access, the Thoracic Oncology Research Program (TORP) Velos, and the TORP REDCap databases for translational research efforts. Standard operating procedures (SOPs) were created to document the construction and proper utilization of these databases. These SOPs have been made available freely to other institutions that have implemented their own databases patterned on these SOPs. Results: A cohort of 373 lung cancer patients who took erlotinib was identified. The EGFR mutation statuses of patients were analyzed. Out of the 70 patients that were tested, 55 had mutations while 15 did not. In terms of overall survival and duration of treatment, the cohort demonstrated that EGFR-mutated patients had a longer duration of erlotinib treatment and longer overall survival compared to their EGFR wild-type counterparts who received erlotinib. Discussion: The investigation successfully yielded data from all institutions of the CTODC. While the investigation identified challenges, such as the difficulty of data transfer and potential duplication of patient data, these issues can be resolved with greater cross-communication between institutions of the consortium. Conclusion: The investigation described herein demonstrates the successful data collection from multiple institutions in the context of a collaborative effort. The data presented here can be utilized as the basis for further collaborative efforts and/or development of larger and more streamlined databases within the consortium. Cureus 2016-03-16 /pmc/articles/PMC4833499/ /pubmed/27092293 http://dx.doi.org/10.7759/cureus.533 Text en Copyright © 2016, Won et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Other Won, Brian Carey, George B Tan, Yi-Hung Carol Bokhary, Ujala Itkonen, Michelle Szeto, Kyle Wallace, James Campbell, Nicholas Hensing, Thomas Salgia, Ravi The Chicago Thoracic Oncology Database Consortium: A Multisite Database Initiative |
title | The Chicago Thoracic Oncology Database Consortium: A Multisite Database Initiative |
title_full | The Chicago Thoracic Oncology Database Consortium: A Multisite Database Initiative |
title_fullStr | The Chicago Thoracic Oncology Database Consortium: A Multisite Database Initiative |
title_full_unstemmed | The Chicago Thoracic Oncology Database Consortium: A Multisite Database Initiative |
title_short | The Chicago Thoracic Oncology Database Consortium: A Multisite Database Initiative |
title_sort | chicago thoracic oncology database consortium: a multisite database initiative |
topic | Other |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4833499/ https://www.ncbi.nlm.nih.gov/pubmed/27092293 http://dx.doi.org/10.7759/cureus.533 |
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