Acta Scientific Cancer Biology

Research ArticleVolume 2 Issue 3

Results of Modern Molecular-Genetic Research for Children Gliomas

Soltan P1, Startsev V2* and Khachatrian W3

1LLC “BioVitrum”, Russia
2Saint Petersburg’s State Pediatric Medical University, Russia
3Russian Scientifical and Research Institute of Neurosurgery Named by Professor A.L. Polenov, Russia

*Corresponding Author: Startsev V, Saint Petersburg’s State Pediatric Medical University, Russia.

Received: May 08, 2018; Published: May 18, 2018

Citation: Startsev V., et al. “Results of Modern Molecular-Genetic Research for Children Gliomas”. Acta Scientific Cancer Biology 2.3 (2018).

Abstract

Introduction: Glioblastomas are the most frequent malignant neoplasm among primary brain tumors in the childhood. Despite the advances in neurosurgery, radiotherapy and chemotherapy, with combination in multimodal approach, overall survival of such patients remains poor and rarely exceeds 10 to 14 months. Several attempts in use of targeted agents such as gefitinib in unselected patient population showed insufficient efficacy. In general perspective the most interesting approach is the selection of patients for targeted therapy based on predictive markers of response.

Methods: We performed the comprehensive analysis of mutational pattern of 30 child high grade brain tumors, due to WHO-classification 2016. Our research was based on the results of mass spectrometry method (OncoCarta, Sequenom, USA), which estimates 298 known mutations in 19 genes.

Results: We revealed 10 mutations in 9 tumors (30%). Mutations were found in BRAF, CDK, HRAS, EGFR, FGFR, MET and PI3K. The most mutated pathway was EGFR - in 20% of the samples (6/30).

Conclusions: Derived results seem to be very promising in usage of new targeted agents, including BRAF-inhibitors, on the final stage of clinical evaluation.

Keywords: Children Glial Tumors; Mutations; Targeted Therapy; Mass Spectrometry Sequencing

Copyright: © 2018 Startsev V., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




Metrics

Acceptance rate35%
Acceptance to publication20-30 days
Impact Factor1.183

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