Formalizing an integrative, multidisciplinary cancer therapy discovery workflow.

Abstract:

:Although many clinicians and researchers work to understand cancer, there has been limited success to effectively combine forces and collaborate over time, distance, data, and budget constraints. Here we present a workflow template for multidisciplinary cancer therapy that was developed during the 2nd Annual Workshop on Cancer Systems Biology sponsored by Tufts University, Boston, Massachusetts, in July 2012. The template was applied to the development of a metronomic therapy backbone for neuroblastoma. Three primary groups were identified: clinicians, biologists, and quantitative scientists (mathematicians, computer scientists, and engineers). The workflow described their integrative interactions; parallel or sequential processes; data sources and computational tools at different stages as well as the iterative nature of therapeutic development from clinical observations to in vitro, in vivo, and clinical trials. We found that theoreticians in dialog with experimentalists could develop calibrated and parameterized predictive models that inform and formalize sets of testable hypotheses, thus speeding up discovery and validation while reducing laboratory resources and costs. The developed template outlines an interdisciplinary collaboration workflow designed to systematically investigate the mechanistic underpinnings of a new therapy and validate that therapy to advance development and clinical acceptance.

journal_name

Cancer Res

journal_title

Cancer research

authors

McGuire MF,Enderling H,Wallace DI,Batra J,Jordan M,Kumar S,Panetta JC,Pasquier E

doi

10.1158/0008-5472.CAN-13-0310

subject

Has Abstract

pub_date

2013-10-15 00:00:00

pages

6111-7

issue

20

eissn

0008-5472

issn

1538-7445

pii

0008-5472.CAN-13-0310

journal_volume

73

pub_type

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