A federated network for translational cancer research using clinical data and biospecimens

Rebecca S. Jacobson, Michael J. Becich, Roni Jacob Bollag, Girish Chavan, Julia Corrigan, Rajiv Dhir, Michael D. Feldman, Carmelo Gaudioso, Elizabeth Legowski, Nita Jane Maihle, Kevin Mitchell, Monica Murphy, Mayurapriyan Sakthivel, Eugene Tseytlin, Joellen Weaver

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Advances in cancer research and personalized medicine will require significant new bridging infrastructures, including more robust biorepositories that link human tissue to clinical phenotypes and outcomes. In order to meet that challenge, four cancer centers formed the Text Information Extraction System (TIES) Cancer Research Network, a federated network that facilitates data and biospecimen sharing among member institutions. Member sites can access pathology data that are de-identified and processed with the TIES natural language processing system, which creates a repository of rich phenotype data linked to clinical biospecimens. TIES incorporates multiple security and privacy best practices that, combined with legal agreements, network policies, and procedures, enable regulatory compliance. The TIES Cancer Research Network now provides integrated access to investigators at all member institutions, where multiple investigator-driven pilot projects are underway. Examples of federated search across the network illustrate the potential impact on translational research, particularly for studies involving rare cancers, rare phenotypes, and specific biologic behaviors. The networksatisfies several key desiderata including local control of data and credentialing, inclusion of rich phenotype information, and applicability to diverse research objectives. The TIES Cancer Research Network presents a model for a national data and biospecimen network.

Original languageEnglish (US)
Pages (from-to)5194-5201
Number of pages8
JournalCancer Research
Volume75
Issue number24
DOIs
StatePublished - Dec 15 2015

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Translational Medical Research
Information Storage and Retrieval
Information Systems
Phenotype
Neoplasms
Research
Research Personnel
Natural Language Processing
Credentialing
Precision Medicine
Information Dissemination
Privacy
Practice Guidelines
Compliance
Pathology

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Cite this

Jacobson, R. S., Becich, M. J., Bollag, R. J., Chavan, G., Corrigan, J., Dhir, R., ... Weaver, J. (2015). A federated network for translational cancer research using clinical data and biospecimens. Cancer Research, 75(24), 5194-5201. https://doi.org/10.1158/0008-5472.CAN-15-1973

A federated network for translational cancer research using clinical data and biospecimens. / Jacobson, Rebecca S.; Becich, Michael J.; Bollag, Roni Jacob; Chavan, Girish; Corrigan, Julia; Dhir, Rajiv; Feldman, Michael D.; Gaudioso, Carmelo; Legowski, Elizabeth; Maihle, Nita Jane; Mitchell, Kevin; Murphy, Monica; Sakthivel, Mayurapriyan; Tseytlin, Eugene; Weaver, Joellen.

In: Cancer Research, Vol. 75, No. 24, 15.12.2015, p. 5194-5201.

Research output: Contribution to journalArticle

Jacobson, RS, Becich, MJ, Bollag, RJ, Chavan, G, Corrigan, J, Dhir, R, Feldman, MD, Gaudioso, C, Legowski, E, Maihle, NJ, Mitchell, K, Murphy, M, Sakthivel, M, Tseytlin, E & Weaver, J 2015, 'A federated network for translational cancer research using clinical data and biospecimens', Cancer Research, vol. 75, no. 24, pp. 5194-5201. https://doi.org/10.1158/0008-5472.CAN-15-1973
Jacobson, Rebecca S. ; Becich, Michael J. ; Bollag, Roni Jacob ; Chavan, Girish ; Corrigan, Julia ; Dhir, Rajiv ; Feldman, Michael D. ; Gaudioso, Carmelo ; Legowski, Elizabeth ; Maihle, Nita Jane ; Mitchell, Kevin ; Murphy, Monica ; Sakthivel, Mayurapriyan ; Tseytlin, Eugene ; Weaver, Joellen. / A federated network for translational cancer research using clinical data and biospecimens. In: Cancer Research. 2015 ; Vol. 75, No. 24. pp. 5194-5201.
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