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Molecular fingerprinting reflects different histotypes and brain region in low grade gliomas

Overview of attention for article published in BMC Cancer, August 2013
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Title
Molecular fingerprinting reflects different histotypes and brain region in low grade gliomas
Published in
BMC Cancer, August 2013
DOI 10.1186/1471-2407-13-387
Pubmed ID
Authors

Samantha Mascelli, Annalisa Barla, Alessandro Raso, Sofia Mosci, Paolo Nozza, Roberto Biassoni, Giovanni Morana, Martin Huber, Cristian Mircean, Daniel Fasulo, Karin Noy, Gayle Wittemberg, Sara Pignatelli, Gianluca Piatelli, Armando Cama, Maria Luisa Garré, Valeria Capra, Alessandro Verri

Abstract

Paediatric low-grade gliomas (LGGs) encompass a heterogeneous set of tumours of different histologies, site of lesion, age and gender distribution, growth potential, morphological features, tendency to progression and clinical course. Among LGGs, Pilocytic astrocytomas (PAs) are the most common central nervous system (CNS) tumours in children. They are typically well-circumscribed, classified as grade I by the World Health Organization (WHO), but recurrence or progressive disease occurs in about 10-20% of cases. Despite radiological and neuropathological features deemed as classic are acknowledged, PA may present a bewildering variety of microscopic features. Indeed, tumours containing both neoplastic ganglion and astrocytic cells occur at a lower frequency.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Unknown 52 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 19%
Researcher 9 17%
Student > Bachelor 9 17%
Student > Postgraduate 4 7%
Student > Master 4 7%
Other 7 13%
Unknown 11 20%
Readers by discipline Count As %
Medicine and Dentistry 13 24%
Computer Science 5 9%
Agricultural and Biological Sciences 4 7%
Engineering 4 7%
Biochemistry, Genetics and Molecular Biology 3 6%
Other 9 17%
Unknown 16 30%