Literature DB >> 21304468

Generation of comprehensive thoracic oncology database--tool for translational research.

Mosmi Surati1, Matthew Robinson, Suvobroto Nandi, Leonardo Faoro, Carley Demchuk, Rajani Kanteti, Benjamin Ferguson, Tara Gangadhar, Thomas Hensing, Rifat Hasina, Aliya Husain, Mark Ferguson, Theodore Karrison, Ravi Salgia.   

Abstract

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.

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Year:  2011        PMID: 21304468      PMCID: PMC3182654          DOI: 10.3791/2414

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  1 in total

Review 1.  Technology insight: Identification of biomarkers with tissue microarray technology.

Authors:  Jena M Giltnane; David L Rimm
Journal:  Nat Clin Pract Oncol       Date:  2004-12
  1 in total
  3 in total

1.  Effect of an electronic health record on the culture of an outpatient medical oncology practice in a four-hospital integrated health care system: 5-year experience.

Authors:  Bruce Brockstein; Thomas Hensing; George W Carro; Jennifer Obel; Janardan Khandekar; Lynne Kaminer; Christine Van De Wege; Robert de Wilton Marsh
Journal:  J Oncol Pract       Date:  2011-07       Impact factor: 3.840

Review 2.  Big Data: the challenge for small research groups in the era of cancer genomics.

Authors:  Aisyah Mohd Noor; Lars Holmberg; Cheryl Gillett; Anita Grigoriadis
Journal:  Br J Cancer       Date:  2015-10-22       Impact factor: 7.640

3.  Comprehensive genetic testing identifies targetable genomic alterations in most patients with non-small cell lung cancer, specifically adenocarcinoma, single institute investigation.

Authors:  Janani Vigneswaran; Yi-Hung Carol Tan; Septimiu D Murgu; Brian M Won; Kathryn Alexa Patton; Victoria M Villaflor; Philip C Hoffman; Thomas Hensing; D Kyle Hogarth; Renuka Malik; Heber MacMahon; Jeffrey Mueller; Cassie A Simon; Wickii T Vigneswaran; Christopher H Wigfield; Mark K Ferguson; Aliya N Husain; Everett E Vokes; Ravi Salgia
Journal:  Oncotarget       Date:  2016-04-05
  3 in total

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