Mining Public Databases for Precision Oncology

Jason Roszik; Vivek Subbiah

doi:10.1016/j.trecan.2018.04.008

Mining Public Databases for Precision Oncology

Trends Cancer. 2018 Jul;4(7):463-465. doi: 10.1016/j.trecan.2018.04.008. Epub 2018 May 22.

Authors

Jason Roszik¹, Vivek Subbiah²

Affiliations

¹ Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA. Electronic address: jroszik@mdanderson.org.
² Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA. Electronic address: VSubbiah@mdanderson.org.

PMID: 29937043
DOI: 10.1016/j.trecan.2018.04.008

Abstract

Millions of dollars have been spent on creating public databases. To date these data reside in isolated 'silos'. Real-world realization of precision oncology, the right drug for the right patient at the right time, may be possible only if the right data come to the right clinic at the right time.

Publication types

Review

MeSH terms

Databases, Factual*
Humans
Medical Oncology*
Precision Medicine*