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IGF-IR: a new prognostic biomarker for human glioblastoma

Overview of attention for article published in British Journal of Cancer, August 2015
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Title
IGF-IR: a new prognostic biomarker for human glioblastoma
Published in
British Journal of Cancer, August 2015
DOI 10.1038/bjc.2015.242
Pubmed ID
Authors

C Maris, N D'Haene, A-L Trépant, M Le Mercier, S Sauvage, J Allard, S Rorive, P Demetter, C Decaestecker, I Salmon

Abstract

Glioblastomas (GBMs) are the most common malignant primary brain tumours in adults and are refractory to conventional therapy, including surgical resection, radiotherapy and chemotherapy. The insulin-like growth factor (IGF) system is a complex network that includes ligands (IGFI and IGFII), receptors (IGF-IR and IGF-IIR) and high-affinity binding proteins (IGFBP-1 to IGFBP-6). Many studies have reported a role for the IGF system in the regulation of tumour cell biology. However, the role of this system remains unclear in GBMs. We investigate the prognostic value of both the IGF ligands' and receptors' expression in a cohort of human GBMs. Tissue microarray and image analysis were conducted to quantitatively analyse the immunohistochemical expression of these proteins in 218 human GBMs. Both IGF-IR and IGF-IIR were overexpressed in GBMs compared with normal brain (P<10(-4) and P=0.002, respectively). Moreover, with regard to standard clinical factors, IGF-IR positivity was identified as an independent prognostic factor associated with shorter survival (P=0.016) and was associated with a less favourable response to temozolomide. This study suggests that IGF-IR could be an interesting target for GBM therapy.British Journal of Cancer advance online publication 20 August 2015; doi:10.1038/bjc.2015.242 www.bjcancer.com.

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Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 18%
Student > Bachelor 11 12%
Researcher 8 9%
Student > Doctoral Student 7 8%
Other 6 7%
Other 15 17%
Unknown 26 29%
Readers by discipline Count As %
Medicine and Dentistry 15 17%
Agricultural and Biological Sciences 14 16%
Biochemistry, Genetics and Molecular Biology 11 12%
Neuroscience 4 4%
Immunology and Microbiology 4 4%
Other 11 12%
Unknown 30 34%