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A simplified approach for molecular classification of glioblastomas (GBMs): experience from a tertiary care center in India

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Abstract

This study aims to establish a simplified molecular classification of glioblastomas (GBMs) based on molecular genetic alterations. GBM cases (n-114) were evaluated for IDH-1 and TP53 mutation by Sanger sequencing, PDGFRA and EGFR amplification by FISH, NF1 and YKL40 expression by qRT-PCR. Subsequently they were classified into four subgroups: classical like (CL), proneural like (PN), mesenchymal like (MES) and neural like (NEU). CL subtype was most frequent (39 %), followed by PN (32 %) and MES (20 %) subtypes. PN subtype had significantly younger age at presentation and longest survival (median PFS—82.5 weeks; 1 and 2 years OS—90.6 and 71.3 %). Other three subgroups had equally poor prognosis and hence, clubbed together as non-proneural (Non-PN) (median PFS—39 weeks; 1 and 2 years OS—66 and 0 %). Hence, we recommended this relatively easy method of subclassifying GBMs into PN and Non-PN which are statistically different in prognosis (both OS and PFS on uni and multivariate analysis). Although evaluation of six molecular alterations for identifying these two subgroups is still cumbersome, we propose segregation of PN subtype alone based on assessment of IDH1, TP53 and PDGFRA status, which is relatively easy and may be amenable to routine practice.

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Acknowledgments

The authors are thankful to Indian Council of Medical Research (ICMR) and Neuro Sciences Centre for funding; all consultants from the Departments of Pathology and Neurosurgery, AIIMS; all technical staff from the Neuropathology laboratory, AIIMS and Department of Biostatistics, AIIMS.

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Authors and Affiliations

  1. Department of Pathology, All India Institute of Medical Sciences (AIIMS), New Delhi, 110029, India

    Suvendu Purkait, Vikas Sharma, Anupam Kumar, Pankaj Pathak, Prerana Jha, Vaishali Suri, Mehar C. Sharma & Chitra Sarkar

  2. Department of Radiation Oncology, All India Institute of Medical Sciences, New Delhi, India

    Supriya Mallick, Ahitagni Biswas & Pramod Kumar Julka

  3. Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India

    Deepak Gupta & Ashish Suri

  4. Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India

    Ashish Datt Upadhyay

Authors
  1. Suvendu Purkait
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  2. Supriya Mallick
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  3. Vikas Sharma
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  4. Anupam Kumar
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  5. Pankaj Pathak
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  6. Prerana Jha
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  7. Ahitagni Biswas
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  8. Pramod Kumar Julka
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  9. Deepak Gupta
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  10. Ashish Suri
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  11. Ashish Datt Upadhyay
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  12. Vaishali Suri
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  13. Mehar C. Sharma
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  14. Chitra Sarkar
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Correspondence to Chitra Sarkar.

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Purkait, S., Mallick, S., Sharma, V. et al. A simplified approach for molecular classification of glioblastomas (GBMs): experience from a tertiary care center in India. Brain Tumor Pathol 33, 183–190 (2016). https://doi.org/10.1007/s10014-016-0251-y

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  • DOI: https://doi.org/10.1007/s10014-016-0251-y

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