Transforming Big Data into cancer-relevant insight: An initial, multi-tier approach to assess reproducibility and relevance

Gerhard, D. S., Clemons, P. A., Shamji, A. F., Hon, C., Wagner, B. K., Schreiber, S. L., Krasnitz, A., Sordella, R., Sander, C., Lowe, S. W., Powers, S., Smith, K., Aburi, M., Iavarone, A., Lasorella, A., Silva, J., Stockwell, B. R., Califano, A., Boehm, J. S., Vazquez, F., Weir, B. A., Hahn, W. C., Khuri, F. R., Moreno, C. S., Johns, M., Fu, H., Nikolova, O., Mendez, E., Gadi, V. K., Margolin, A. A., Grandori, C., Kemp, C. J., Warren, E. H., Riddell, S. R., McIntosh, M. W., Gevaert, O., Kuo, C. J., Ji, H. P., Dhruv, H., Finlay, D., Kiefer, J., Kim, S., Vuori, K., Berens, M. E., Hangauer, M., Boettcher, M., Weissman, J. S., Bivona, T. G., Bandyopadhyay, S., McManus, M. T., McCormick, F., Aksoy, O., Simonds, E. F., Zheng, T., Chen, J., An, Z., Balmain, A., Weiss, W. A., Chen, K., Liang, H., Scott, K. L., Mills, G. B., Posner, B. A., MacMillan, J., Minna, J., White, M., Roth, M. G., Jagu, S., Mazerik, J. (2016) Transforming Big Data into cancer-relevant insight: An initial, multi-tier approach to assess reproducibility and relevance. Mol Cancer Res. ISSN 1557-3125 (Electronic)1541-7786 (Linking)

URL: http://www.ncbi.nlm.nih.gov/pubmed/27401613
DOI: 10.1158/1541-7786.mcr-16-0090

Abstract

The Cancer Target Discovery and Development (CTD2) Network was established to accelerate the transformation of "Big Data" into novel pharmacological targets, lead compounds, and biomarkers for rapid translation into improved patient outcomes. It rapidly became clear in this collaborative network that a key central issue was to define what constitutes sufficient computational or experimental evidence to support a biologically or clinically relevant finding. This manuscript represents a first attempt to delineate the challenges of supporting and confirming discoveries arising from the systematic analysis of large-scale data resources in a collaborative work environment and to provide a framework that would begin a community discussion to resolve these challenges. The Network implemented a multi-Tier framework designed to substantiate the biological and biomedical relevance as well as the reproducibility of data and insights resulting from its collaborative activities. The same approach can be used by the broad scientific community to drive development of novel therapeutic and biomarker strategies for cancer.

Item Type: Paper
Subjects: bioinformatics
diseases & disorders > cancer
bioinformatics > genomics and proteomics
therapies
bioinformatics > genomics and proteomics > datasets
CSHL Authors:
Communities: CSHL labs > Krasnitz lab
CSHL labs > Sordella lab
Depositing User: Matt Covey
Date Deposited: 22 Jul 2016 16:36
Last Modified: 26 Jan 2017 20:23
PMCID: PMC4987219
Related URLs:
URI: http://repository.cshl.edu/id/eprint/32971

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