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Published in: Diagnostic Pathology 1/2016

Open Access 01-12-2016 | Research

High CHI3L1 expression is associated with glioma patient survival

Authors: Giedrius Steponaitis, Daina Skiriutė, Arunas Kazlauskas, Ieva Golubickaitė, Rytis Stakaitis, Arimantas Tamašauskas, Paulina Vaitkienė

Published in: Diagnostic Pathology | Issue 1/2016

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Abstract

Background

Survival of glioma patients with the same tumor histology and grade can vary significantly, and some low-grade gliomas transform to a more malignant phenotype. There is a need of molecular signatures, which are better predictors of the patient diagnosis, outcome of treatment, and prognosis than the diagnosis provided by histopathology. We propose CHI3L1 mRNA expression as a prognostic biomarker for patients with glioma.

Methods

We measured CHI3L1 expression with quantitative real time-polymerase chain reaction (qRT-PCR) in the cohort of 98 patients with different grade glioma: 10 grade I pylocytic astrocytomas, 30 grade II diffuse astrocytomas, 20 grade III anaplastic astrocytomas, and 38 grade IV astrocytomas (glioblastomas). Statistical analyses were conducted to investigate the association between CHI3L1 mRNA expression levels and patient clinical variables.

Results

We demonstrated that mRNA expression of CHI3L1 was evidently higher in glioblastoma than in lower grade glioma tissues. We evaluated correlations between CHI3L1 expression, clinicopathological characteristics, and the outcomes of the patients. Patients with high CHI3L1 expression had a shorter overall survival (p < 0.001).

Conclusions

Findings presented in our study showed that increased mRNA level of CHI3L1 could be associated with the progression of astrocytoma and poor patient survival not only for glioblastoma, but for lower grade astrocytoma tumors as well. Further investigation will be required to evaluate CHI3L1 value as a molecular marker for astrocytoma prognoses and for novel treatment strategies against all grade astrocytomas.
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Metadata
Title
High CHI3L1 expression is associated with glioma patient survival
Authors
Giedrius Steponaitis
Daina Skiriutė
Arunas Kazlauskas
Ieva Golubickaitė
Rytis Stakaitis
Arimantas Tamašauskas
Paulina Vaitkienė
Publication date
01-12-2016
Publisher
BioMed Central
Published in
Diagnostic Pathology / Issue 1/2016
Electronic ISSN: 1746-1596
DOI
https://doi.org/10.1186/s13000-016-0492-4

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