Characterizing mutational heterogeneity in a glioblastoma patient with double recurrence.

ABSTRACT: Human cancers are driven by the acquisition of somatic mutations. Separating the driving mutations from those that are random consequences of general genomic instability remains a challenge. New sequencing technology makes it possible to detect mutations that are present in only a minority of cells in a heterogeneous tumor population. We sought to leverage the power of ultra-deep sequencing to study various levels of tumor heterogeneity in the serial recurrences of a single glioblastoma multiforme patient. Our goal was to gain insight into the temporal succession of DNA base-level lesions by querying intra- and inter-tumoral cell populations in the same patient over time. We performed targeted "next-generation" sequencing on seven samples from the same patient: two foci within the primary

SUBMITTER: Nickel GC 

PROVIDER: S-EPMC3335059 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature