Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Poster display session

1141 - Molecular subtypes of gliomas defined by gene expression profiling

Date

10 Sep 2017

Session

Poster display session

Topics

Translational Research;  Central Nervous System Malignancies

Presenters

Elise Deluche

Citation

Annals of Oncology (2017) 28 (suppl_5): v109-v121. 10.1093/annonc/mdx366

Authors

E. Deluche1, F. Caire2, V. Rigau3, S. Durand4, S. Robert5, B. Bessette6, F. Labrousse5, M. Jauberteau6, K. Durand5, F. Lalloue6

Author affiliations

  • 1 Oncology, CHU Limoges - Hopital Dupuytren, 87042 - Limoges/FR
  • 2 Neurosurgery, CHU Limoges - Hopital Dupuytren, 87042 - Limoges/FR
  • 3 Pathology, CHRU de Montpellier- Gui de Chauliac, 34000 - Montpellier/FR
  • 4 Umr 1061 Inra, Limoges University, 87025 - Limoges/FR
  • 5 Pathology, CHU Limoges - Hopital Dupuytren, 87042 - Limoges/FR
  • 6 Ea 3842, Cellular Homeostasis And Pathologies, Faculty of Medicine of Limoges, 87025 - Limoges/FR
More

Resources

Abstract 1141

Background

Gliomas are the most common primary brain tumors in adults. The heterogeneity of tumors, the lack of reliable criteria for identifying different subtypes make their histopathological diagnosis and their management complex. The molecular classification is one of the most promising approaches to better characterize gliomas. The aim of this study was to characterize molecular markers from the differential transcriptomic analysis of high and low-grade gliomas.

Methods

Tumor samples were obtained from 81 patients diagnosed with gliomas between 1998 and 2013 at Limoges and Montpellier University Hospitals. Transcripts from brain tumor frozen samples were analyzed by Taqman Low Density Array. Cluster and principal component analyses were performed on a list of 96 selected genes belonging to glioma markers, genes coding for neurotrophins and their receptors or involved in different mechanisms such as glycosylation, autophagy, RTK signaling pathways, hypoxia and angiogenesis. Protein expressions from selected genes were achieved by immunohistochemical staining on Tissue MicroArray.

Results

Firstly, variations in gene expression were noted between the primary tumor and its recurrence and between biopsy and resected surgical specimen for a same patient. To have homogeneous series, only 64 primary brain tumors obtained from resected surgical specimens and free from radiotherapy and/or chemotherapy were presented in this work. Brain tumors were diagnosed as grade II oligo-astrocytoma (n = 9), grade III oligo-astrocytoma (n = 10), grade III astrocytoma (n = 8), glioblastoma (n = 17), grade II oligodendroglioma (n = 9) and grade III oligodendroglioma (n = 11). Using the hierarchical cluster method, we identified gene expression patterns specific of low or high grades and a set of genes of interest appeared significantly overexpressed or under-expressed according to tumor grade (p 

Conclusions

Our results showed that high and low-grade gliomas differ in their gene expression profiles and several genes might act as new biomarkers for differential diagnosis and prognosis in gliomas.

Clinical trial identification

Legal entity responsible for the study

CHU de Limoges - Hôpital Dupuytren

Funding

None

Disclosure

All authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.