Dataset Information

Prospective, high-throughput molecular profiling of human gliomas.

ABSTRACT: Gliomas consist of multiple histologic and molecular subtypes with different clinical phenotypes and responsiveness to treatment. However, enrollment criteria for clinical trials still largely do not take into account these underlying molecular differences. We have incorporated a high-throughput tumor genotyping program based on the ABI SNaPshot platform as well as other molecular diagnostic tests into the standard evaluation of glioma patients in order to assess whether prospective molecular profiling would allow rational patient selection onto clinical trials. From 218 gliomas we prospectively collected SNaPshot genotyping data on 68 mutated loci from 15 key cancer genes along with data from clinical assays for gene amplification (EGFR, PDGFRA, MET), 1p/19q co-deletion and MGMT promoter methylation. SNaPshot mutations and focal gene amplifications were detected in 38.5 and 47.1 % of glioblastomas, respectively. Genetic alterations in EGFR, IDH1 and PIK3CA closely matched frequencies reported in recent studies. In addition, we identified events that are rare in gliomas although are known driver mutations in other cancer types, such as mutations of AKT1, BRAF and KRAS. Patients with genetic alterations that activate signaling pathways were enrolled onto genetically selective clinical trials for malignant glioma as well as for other solid cancers. High-throughput molecular profiling incorporated into the routine clinical evaluation of glioma patients may enable the rational selection of patients for targeted therapy clinical trials and thereby improve the likelihood that such trials succeed.

SUBMITTER: Chi AS

PROVIDER: S-EPMC3583376 | biostudies-literature | 2012 Oct

REPOSITORIES: biostudies-literature

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Prospective, high-throughput molecular profiling of human gliomas.

Chi Andrew S AS Batchelor Tracy T TT Dias-Santagata Dora D Borger Darrell D Stiles Charles D CD Wang Daphne L DL Curry William T WT Wen Patrick Y PY Ligon Keith L KL Ellisen Leif L Louis David N DN Iafrate A John AJ

Journal of neuro-oncology 20120722 1

Gliomas consist of multiple histologic and molecular subtypes with different clinical phenotypes and responsiveness to treatment. However, enrollment criteria for clinical trials still largely do not take into account these underlying molecular differences. We have incorporated a high-throughput tumor genotyping program based on the ABI SNaPshot platform as well as other molecular diagnostic tests into the standard evaluation of glioma patients in order to assess whether prospective molecular pr ...[more]

PMID: 22821383

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Project description:Purpose: To define copy number alterations and gene expression signatures underlying pediatric high-grade glioma (HGG). Patients and Methods: We conducted a high-resolution analysis of genomic imbalances in 78 de novo pediatric HGG, including 7 diffuse intrinsic pontine gliomas, and 10 HGG cases arising in children who received cranial irradiation for a previous cancer, using Affymetrix 500K GeneChips. Gene expression signatures for 53 tumors were analyzed with Affymetrix U133v2 arrays. Results were compared with publicly available data from adult tumors. Results: Pediatric and adult glioblastoma were clearly distinguished by frequent gain of chromosome 1q (30% vs 9%) and lower frequency of chromosome 7 gain (13% vs 74%), respectively. The most common focal amplifications also differed, with PDGFRA and EGFR predominant in childhood and adult populations respectively. These common alterations in pediatric HGG were detected at higher frequency in irradiation-induced tumors, suggesting that these are initiating events in childhood gliomagenesis. CDKN2A was the most common tumor suppressor gene targeted by homozygous deletion in pediatric HGG. No IDH1 hotspot mutations were found in pediatric tumors, highlighting molecular differences in pathogenesis between childhood HGG and adult secondary glioblastoma. Integrated copy number and gene expression data indicated that deregulated PDGFRA signaling plays a major role in pediatric HGG. Conclusions: Integrated molecular profiling showed substantial differences in the molecular features underlying pediatric and adult HGG, indicating that findings in adult tumors cannot be simply extrapolated to younger patients. PDGFRA may be a useful target for pediatric HGG including diffuse pontine gliomas. Keywords: disease state analysis 78 samples for SNP analysis, including 10 samples arising in children who received cranial irradiation for a previous cancer and 7 diffuse pontine gliomas; 53 of them with gene expression analysis; 2 tumor grades To have access to SNP CEL files, please contact Dr. Suzanne Baker (suzzane.baker@stjude.org).

Project description:BackgroundThe benefit of precision medicine based on relatively limited gene sets and often-archived samples remains unproven. PERMED-01 (NCT02342158) was a prospective monocentric clinical trial assessing, in adults with advanced solid cancer, the feasibility and impact of extensive molecular profiling applied to newly biopsied tumor sample and based on targeted NGS (t-NGS) of the largest gene panel to date and whole-genome array-comparative genomic hybridization (aCGH) with assessment of single-gene alterations and clinically relevant genomic scores.MethodsEligible patients with refractory cancer had one tumor lesion accessible to biopsy. Extracted tumor DNA was profiled by t-NGS and aCGH. We assessed alterations of 802 "candidate cancer" genes and global genomic scores, such as homologous recombination deficiency (HRD) score and tumor mutational burden. The primary endpoint was the number of patients with actionable genetic alterations (AGAs). Secondary endpoints herein reported included a description of patients with AGA who received a "matched therapy" and their clinical outcome, and a comparison of AGA identification with t-NGS and aCGH versus whole-exome sequencing (WES).ResultsBetween November 2014 and September 2019, we enrolled 550 patients heavily pretreated. An exploitable complete molecular profile was obtained in 441/550 patients (80%). At least one AGA, defined in real time by our molecular tumor board, was found in 393/550 patients (71%, two-sided 90%CI 68-75%). Only 94/550 patients (17%, 95%CI 14-21) received an "AGA-matched therapy" on progression. The most frequent AGAs leading to "matched therapy" included PIK3CA mutations, KRAS mutations/amplifications, PTEN deletions/mutations, ERBB2 amplifications/mutations, and BRCA1/2 mutations. Such "matched therapy" improved by at least 1.3-fold the progression-free survival on matched therapy (PFS2) compared to PFS on prior therapy (PFS1) in 36% of cases, representing 6% of the enrolled patients. Within patients with AGA treated on progression, the use of "matched therapy" was the sole variable associated with an improved PFS2/PFS1 ratio. Objective responses were observed in 19% of patients treated with "matched therapy," and 6-month overall survival (OS) was 62% (95%CI 52-73). In a subset of 112 metastatic breast cancers, WES did not provide benefit in term of AGA identification when compared with t-NGS/aCGH.ConclusionsExtensive molecular profiling of a newly biopsied tumor sample identified AGA in most of cases, leading to delivery of a "matched therapy" in 17% of screened patients, of which 36% derived clinical benefit. WES did not seem to improve these results.Trial registrationID-RCB identifier: 2014-A00966-41; ClinicalTrials.gov identifier: NCT02342158 .

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Prospective, high-throughput molecular profiling of human gliomas.

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Prospective, high-throughput molecular profiling of human gliomas.

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