<i>CHI3L1</i>, <i>NTRK2</i>, <i>1p/19q</i> and <i>IDH</i> Status Predicts Prognosis in Glioma
The aim of this study was to identify relevant biomarkers for the prognosis of glioma considering current molecular changes such as <i>IDH</i> mutation and 1p19q deletion. Gene expression profiling was performed using the TaqMan Low Density Array and hierarchical clustering using 96 sele...
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2019-04-01
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doaj-ee84854572274c259a16f4a863e582802020-11-24T21:44:27ZengMDPI AGCancers2072-66942019-04-0111454410.3390/cancers11040544cancers11040544<i>CHI3L1</i>, <i>NTRK2</i>, <i>1p/19q</i> and <i>IDH</i> Status Predicts Prognosis in GliomaElise Deluche0Barbara Bessette1Stephanie Durand2François Caire3Valérie Rigau4Sandrine Robert5Alain Chaunavel6Lionel Forestier7François Labrousse8Marie-Odile Jauberteau9Karine Durand10Fabrice Lalloué11EA3842 CAPTuR, Faculty of Medicine, University of Limoges, 2 Rue du Docteur Marcland, 87025 Limoges, FranceEA3842 CAPTuR, Faculty of Medicine, University of Limoges, 2 Rue du Docteur Marcland, 87025 Limoges, FranceBioinformatics Team, BISCEM Platform, CBRS, University of Limoges, 2 rue du Docteur Marcland, 87025 Limoges, FranceDepartment of Neurosurgery, Limoges University Hospital, 2 rue Martin Luther King, 87042 Limoges, FranceDepartment of Neuropathology and INSERM U1051, Hospital Saint Eloi—Gui de Chauliac, 80 av. Augustin Fliche, 34090 Montpellier, FranceEA3842 CAPTuR, Faculty of Medicine, University of Limoges, 2 Rue du Docteur Marcland, 87025 Limoges, FranceEA3842 CAPTuR, Faculty of Medicine, University of Limoges, 2 Rue du Docteur Marcland, 87025 Limoges, FranceBioinformatics Team, BISCEM Platform, CBRS, University of Limoges, 2 rue du Docteur Marcland, 87025 Limoges, FranceEA3842 CAPTuR, Faculty of Medicine, University of Limoges, 2 Rue du Docteur Marcland, 87025 Limoges, FranceEA3842 CAPTuR, Faculty of Medicine, University of Limoges, 2 Rue du Docteur Marcland, 87025 Limoges, FranceEA3842 CAPTuR, Faculty of Medicine, University of Limoges, 2 Rue du Docteur Marcland, 87025 Limoges, FranceEA3842 CAPTuR, Faculty of Medicine, University of Limoges, 2 Rue du Docteur Marcland, 87025 Limoges, FranceThe aim of this study was to identify relevant biomarkers for the prognosis of glioma considering current molecular changes such as <i>IDH</i> mutation and 1p19q deletion. Gene expression profiling was performed using the TaqMan Low Density Array and hierarchical clustering using 96 selected genes in 64 patients with newly diagnosed glioma. The expression dataset was validated on a large independent cohort from The Cancer Genome Atlas (TCGA) database. A differential expression panel of 26 genes discriminated two prognostic groups regardless of grade and molecular groups of tumors: Patients having a poor prognosis with a median overall survival (OS) of 23.0 ± 9.6 months (group A) and patients having a good prognosis with a median OS of 115.0 ± 6.6 months (group B) (<i>p</i> = 0.007). Hierarchical clustering of the glioma TCGA cohort supported the prognostic value of these 26 genes (<i>p</i> < 0.0001). Among these genes, <i>CHI3L1</i> and <i>NTRK2</i> were identified as factors that can be associated with <i>IDH</i> status and 1p/19q co-deletion to distinguish between prognostic groups of glioma from the TCGA cohort. Therefore, <i>CHI3L1</i> associated with <i>NTRK2</i> seemed to be able to provide new information on glioma prognosis.https://www.mdpi.com/2072-6694/11/4/544glioma<i>IDH</i> status<i>CHI3L1</i><i>NTRK2</i>prognosis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Elise Deluche Barbara Bessette Stephanie Durand François Caire Valérie Rigau Sandrine Robert Alain Chaunavel Lionel Forestier François Labrousse Marie-Odile Jauberteau Karine Durand Fabrice Lalloué |
spellingShingle |
Elise Deluche Barbara Bessette Stephanie Durand François Caire Valérie Rigau Sandrine Robert Alain Chaunavel Lionel Forestier François Labrousse Marie-Odile Jauberteau Karine Durand Fabrice Lalloué <i>CHI3L1</i>, <i>NTRK2</i>, <i>1p/19q</i> and <i>IDH</i> Status Predicts Prognosis in Glioma Cancers glioma <i>IDH</i> status <i>CHI3L1</i> <i>NTRK2</i> prognosis |
author_facet |
Elise Deluche Barbara Bessette Stephanie Durand François Caire Valérie Rigau Sandrine Robert Alain Chaunavel Lionel Forestier François Labrousse Marie-Odile Jauberteau Karine Durand Fabrice Lalloué |
author_sort |
Elise Deluche |
title |
<i>CHI3L1</i>, <i>NTRK2</i>, <i>1p/19q</i> and <i>IDH</i> Status Predicts Prognosis in Glioma |
title_short |
<i>CHI3L1</i>, <i>NTRK2</i>, <i>1p/19q</i> and <i>IDH</i> Status Predicts Prognosis in Glioma |
title_full |
<i>CHI3L1</i>, <i>NTRK2</i>, <i>1p/19q</i> and <i>IDH</i> Status Predicts Prognosis in Glioma |
title_fullStr |
<i>CHI3L1</i>, <i>NTRK2</i>, <i>1p/19q</i> and <i>IDH</i> Status Predicts Prognosis in Glioma |
title_full_unstemmed |
<i>CHI3L1</i>, <i>NTRK2</i>, <i>1p/19q</i> and <i>IDH</i> Status Predicts Prognosis in Glioma |
title_sort |
<i>chi3l1</i>, <i>ntrk2</i>, <i>1p/19q</i> and <i>idh</i> status predicts prognosis in glioma |
publisher |
MDPI AG |
series |
Cancers |
issn |
2072-6694 |
publishDate |
2019-04-01 |
description |
The aim of this study was to identify relevant biomarkers for the prognosis of glioma considering current molecular changes such as <i>IDH</i> mutation and 1p19q deletion. Gene expression profiling was performed using the TaqMan Low Density Array and hierarchical clustering using 96 selected genes in 64 patients with newly diagnosed glioma. The expression dataset was validated on a large independent cohort from The Cancer Genome Atlas (TCGA) database. A differential expression panel of 26 genes discriminated two prognostic groups regardless of grade and molecular groups of tumors: Patients having a poor prognosis with a median overall survival (OS) of 23.0 ± 9.6 months (group A) and patients having a good prognosis with a median OS of 115.0 ± 6.6 months (group B) (<i>p</i> = 0.007). Hierarchical clustering of the glioma TCGA cohort supported the prognostic value of these 26 genes (<i>p</i> < 0.0001). Among these genes, <i>CHI3L1</i> and <i>NTRK2</i> were identified as factors that can be associated with <i>IDH</i> status and 1p/19q co-deletion to distinguish between prognostic groups of glioma from the TCGA cohort. Therefore, <i>CHI3L1</i> associated with <i>NTRK2</i> seemed to be able to provide new information on glioma prognosis. |
topic |
glioma <i>IDH</i> status <i>CHI3L1</i> <i>NTRK2</i> prognosis |
url |
https://www.mdpi.com/2072-6694/11/4/544 |
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