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Transcriptional profiles of pilocytic astrocytoma are related to their three different locations, but not to radiological tumor features

Overview of attention for article published in BMC Cancer, October 2015
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Title
Transcriptional profiles of pilocytic astrocytoma are related to their three different locations, but not to radiological tumor features
Published in
BMC Cancer, October 2015
DOI 10.1186/s12885-015-1810-z
Pubmed ID
Authors

Krzysztof Zakrzewski, Michał Jarząb, Aleksandra Pfeifer, Małgorzata Oczko-Wojciechowska, Barbara Jarząb, Paweł P. Liberski, Magdalena Zakrzewska

Abstract

Pilocytic astrocytoma is the most common type of brain tumor in the pediatric population, with a generally favorable prognosis, although recurrences or leptomeningeal dissemination are sometimes also observed. For tumors originating in the supra-or infratentorial location, a different molecular background was suggested, but plausible correlations between the transcriptional profile and radiological features and/or clinical course are still undefined. The purpose of this study was to identify gene expression profiles related to the most frequent locations of this tumor, subtypes based on various radiological features, and the clinical pattern of the disease. Eighty six children (55 males and 31 females) with histologically verified pilocytic astrocytoma were included in this study. Their age at the time of diagnosis ranged from fourteen months to seventeen years, with a mean age of seven years. There were 40 cerebellar, 23 optic tract/hypothalamic, 21 cerebral hemispheric, and two brainstem tumors. According to the radiological features presented on MRI, all cases were divided into four subtypes: cystic tumor with a non-enhancing cyst wall; cystic tumor with an enhancing cyst wall; solid tumor with central necrosis; and solid or mainly solid tumor. In 81 cases primary surgical resection was the only and curative treatment, and in five cases progression of the disease was observed. In 47 cases the analysis was done by using high density oligonucleotide microarrays (Affymetrix HG-U133 Plus 2.0) with subsequent bioinformatic analyses and confirmation of the results by independent RT-qPCR (on 39 samples). Bioinformatic analyses showed that the gene expression profile of pilocytic astrocytoma is highly dependent on the tumor location. The most prominent differences were noted for IRX2, PAX3, CXCL14, LHX2, SIX6, CNTN1 and SIX1 genes expression even within different compartments of the supratentorial region. Analysis of the genes potentially associated with radiological features showed much weaker transcriptome differences. Single genes showed association with the tendency to progression. Here we have shown that pilocytic astrocytomas of three different locations can be precisely differentiated on the basis of their gene expression level, but their transcriptional profiles does not strongly reflect the radiological appearance of the tumor or the course of the disease.

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Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Brazil 1 2%
Unknown 39 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 22%
Researcher 8 20%
Student > Bachelor 7 17%
Student > Doctoral Student 4 10%
Student > Ph. D. Student 4 10%
Other 5 12%
Unknown 4 10%
Readers by discipline Count As %
Medicine and Dentistry 16 39%
Biochemistry, Genetics and Molecular Biology 5 12%
Agricultural and Biological Sciences 4 10%
Neuroscience 3 7%
Nursing and Health Professions 2 5%
Other 3 7%
Unknown 8 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 August 2016.
All research outputs
#6,204,823
of 8,170,298 outputs
Outputs from BMC Cancer
#2,230
of 3,455 outputs
Outputs of similar age
#168,694
of 244,049 outputs
Outputs of similar age from BMC Cancer
#135
of 236 outputs
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