Perspectives and Challenges in Molecular-Based Diagnostics and Personalized Treatment for Recurrent High-Grade GliomasDarius Kalasauskas1, Mirjam Renovanz1, Sven Bikar2, Anton Buzdin3,4,5, Ather Enam6, Sven Kantelhardt1, Alf Giese6 and Ella L Kim1*
- *Corresponding Author:
- Ella L Kim
Clinic for Neurosurgery, Laboratory for Experimental Neurooncology
Johannes Gutenberg University Medical Centre, Langenbeckstrasse 1, 55131 Mainz, Germany
E-mail: [email protected]
Received date: March 27, 2017; Accepted date: April 18, 2017; Published date: April 24, 2017
Citation: Kalasauskas D, Renovanz M, Bikar S, Buzdin A, Enam A, et al. (2017) Perspectives and Challenges in Molecular-Based Diagnostics and Personalized Treatment for Recurrent High-Grade Gliomas. J Carcinog Mutagen 8: 290. doi:10.4172/2157-2518.1000290
Copyright: © 2017 Kim EL, 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.
Glioblastoma is the most common and most malignant type of intrinsic brain tumor in adults. The standard of care for glioblastoma consists of surgical debulking followed by combined radiochemotherapy. The clinical efficacy of standard therapies for newly diagnosed glioblastomas is rather modest with the highest survival rate at 5-years being less than 10%. Inevitable recurrence after cytotoxic therapies poses the major challenge in the clinical management of high grade gliomas. For recurrent glioblastomas, there is no standard therapy with lack of level one evidence for treatment efficacy. Recent evidence indicates that post-therapy recurrence in gliomas is a consequence of a plethora of molecular and cellular factors including intratumoural heterogeneity, functional hierarchy of distinct types of glioma cells, dynamic changes in the molecular landscapes and cellular composition of the tumour during therapy and the impact of particular treatment modalities. There is an emerging consensus that molecular distinctions within and between individual tumours is an important factor determining clinical outcomes. Consequently, integrated approaches based on the combination of molecular profiling with traditional methods such as immunohistochemical phenotyping, karyotyping and/or non-quantitative methylation-specific PCR have emerged as a promising venue towards increasing the predictive value of diagnostics for malignant brain tumors. The high level of inter-and intra-tumoural molecular diversity in gliomas underscores the need of integrating high throughput molecular profiling and pharmacogenomics into a diagnostic paradigm for gliomas and raises the possibility that molecular-instructed personalized treatments may provide clinical benefit to patients with glioblastoma, particularly in the setting of post-treatment recurrence. Here we discuss potential prospects and challenges of patient-tailored diagnostics and personalized treatment strategies for recurrent glioblastomas.