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Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
The Thoracic Oncology Program Database Project was created to serve as a comprehensive, verified, and accessible repository for well-annotated cancer specimens and clinical data to be available to researchers within the Thoracic Oncology Research Program. This database also captures a large volume o...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MyJove Corporation
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3182654/ https://www.ncbi.nlm.nih.gov/pubmed/21304468 http://dx.doi.org/10.3791/2414 |
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author | Surati, Mosmi Robinson, Matthew Nandi, Suvobroto Faoro, Leonardo Demchuk, Carley Kanteti, Rajani Ferguson, Benjamin Gangadhar, Tara Hensing, Thomas Hasina, Rifat Husain, Aliya Ferguson, Mark Karrison, Theodore Salgia, Ravi |
author_facet | Surati, Mosmi Robinson, Matthew Nandi, Suvobroto Faoro, Leonardo Demchuk, Carley Kanteti, Rajani Ferguson, Benjamin Gangadhar, Tara Hensing, Thomas Hasina, Rifat Husain, Aliya Ferguson, Mark Karrison, Theodore Salgia, Ravi |
author_sort | Surati, Mosmi |
collection | PubMed |
description | The Thoracic Oncology Program Database Project was created to serve as a comprehensive, verified, and accessible repository for well-annotated cancer specimens and clinical data to be available to researchers within the Thoracic Oncology Research Program. This database also captures a large volume of genomic and proteomic data obtained from various tumor tissue studies. A team of clinical and basic science researchers, a biostatistician, and a bioinformatics expert was convened to design the database. Variables of interest were clearly defined and their descriptions were written within a standard operating manual to ensure consistency of data annotation. Using a protocol for prospective tissue banking and another protocol for retrospective banking, tumor and normal tissue samples from patients consented to these protocols were collected. Clinical information such as demographics, cancer characterization, and treatment plans for these patients were abstracted and entered into an Access database. Proteomic and genomic data have been included in the database and have been linked to clinical information for patients described within the database. The data from each table were linked using the relationships function in Microsoft Access to allow the database manager to connect clinical and laboratory information during a query. The queried data can then be exported for statistical analysis and hypothesis generation. |
format | Online Article Text |
id | pubmed-3182654 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | MyJove Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-31826542011-10-03 Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research Surati, Mosmi Robinson, Matthew Nandi, Suvobroto Faoro, Leonardo Demchuk, Carley Kanteti, Rajani Ferguson, Benjamin Gangadhar, Tara Hensing, Thomas Hasina, Rifat Husain, Aliya Ferguson, Mark Karrison, Theodore Salgia, Ravi J Vis Exp Medicine The Thoracic Oncology Program Database Project was created to serve as a comprehensive, verified, and accessible repository for well-annotated cancer specimens and clinical data to be available to researchers within the Thoracic Oncology Research Program. This database also captures a large volume of genomic and proteomic data obtained from various tumor tissue studies. A team of clinical and basic science researchers, a biostatistician, and a bioinformatics expert was convened to design the database. Variables of interest were clearly defined and their descriptions were written within a standard operating manual to ensure consistency of data annotation. Using a protocol for prospective tissue banking and another protocol for retrospective banking, tumor and normal tissue samples from patients consented to these protocols were collected. Clinical information such as demographics, cancer characterization, and treatment plans for these patients were abstracted and entered into an Access database. Proteomic and genomic data have been included in the database and have been linked to clinical information for patients described within the database. The data from each table were linked using the relationships function in Microsoft Access to allow the database manager to connect clinical and laboratory information during a query. The queried data can then be exported for statistical analysis and hypothesis generation. MyJove Corporation 2011-01-22 /pmc/articles/PMC3182654/ /pubmed/21304468 http://dx.doi.org/10.3791/2414 Text en Copyright © 2011, Journal of Visualized Experiments http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visithttp://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Medicine Surati, Mosmi Robinson, Matthew Nandi, Suvobroto Faoro, Leonardo Demchuk, Carley Kanteti, Rajani Ferguson, Benjamin Gangadhar, Tara Hensing, Thomas Hasina, Rifat Husain, Aliya Ferguson, Mark Karrison, Theodore Salgia, Ravi Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research |
title | Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research |
title_full | Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research |
title_fullStr | Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research |
title_full_unstemmed | Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research |
title_short | Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research |
title_sort | generation of comprehensive thoracic oncology database - tool for translational research |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3182654/ https://www.ncbi.nlm.nih.gov/pubmed/21304468 http://dx.doi.org/10.3791/2414 |
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