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Dataset Information

Sequencing and curation strategies for identifying candidate glioblastoma treatments.


ABSTRACT:

Background

Prompted by the revolution in high-throughput sequencing and its potential impact for treating cancer patients, we initiated a clinical research study to compare the ability of different sequencing assays and analysis methods to analyze glioblastoma tumors and generate real-time potential treatment options for physicians.

Methods

A consortium of seven institutions in New York City enrolled 30 patients with glioblastoma and performed tumor whole genome sequencing (WGS) and RNA sequencing (RNA-seq; collectively WGS/RNA-seq); 20 of these patients were also analyzed with independent targeted panel sequencing. We also compared results of expert manual annotations with those from an automated annotation system, Watson Genomic Analysis (WGA), to assess the reliability an

SUBMITTER: Frank MO 

PROVIDER: S-EPMC6485090 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature