Impact of centralization on aCGH-based genomic profiles for precision medicine in oncology.

ABSTRACT:

Background

Comparative genomic hybridization (CGH) arrays are increasingly used in personalized medicine programs to identify gene copy number aberrations (CNAs) that may be used to guide clinical decisions made during molecular tumor boards. However, analytical processes such as the centralization step may profoundly affect CGH array results and therefore may adversely affect outcomes in the precision medicine context.

Patients and methods

The effect of three different centralization methods: median, maximum peak, alternative peak, were evaluated on three datasets: (i) the NCI60 cell lines panel, (ii) the Cancer Cell Line Encyclopedia (CCLE) panel, and (iii) the patients enrolled in prospective molecular screening trials (SAFIR-01 n = 283, MOSCATO-01 n = 309), and compared

SUBMITTER: Commo F 

PROVIDER: S-EPMC4343013 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature