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Extracellular matrix composition defines an ultra-high-risk group of neuroblastoma within the high-risk patient cohort

BACKGROUND: Although survival for neuroblastoma patients has dramatically improved in recent years, a substantial number of children in the high-risk subgroup still die. METHODS: We aimed to define a subgroup of ultra-high-risk patients from within the high-risk cohort. We used advanced morphometric...

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Detalles Bibliográficos
Autores principales: Tadeo, Irene, Berbegall, Ana P, Castel, Victoria, García-Miguel, Purificación, Callaghan, Robert, Påhlman, Sven, Navarro, Samuel, Noguera, Rosa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4985353/
https://www.ncbi.nlm.nih.gov/pubmed/27415013
http://dx.doi.org/10.1038/bjc.2016.210
Descripción
Sumario:BACKGROUND: Although survival for neuroblastoma patients has dramatically improved in recent years, a substantial number of children in the high-risk subgroup still die. METHODS: We aimed to define a subgroup of ultra-high-risk patients from within the high-risk cohort. We used advanced morphometric approaches to quantify and characterise blood vessels, reticulin fibre networks, collagen type I bundles, elastic fibres and glycosaminoglycans in 102 high-risk neuroblastomas specimens. The Kaplan–Meier method was used to correlate the analysed elements with survival. RESULTS: The organisation of blood vessels and reticulin fibres in neuroblastic tumours defined an ultra-high-risk patient subgroup with 5-year survival rate <15%. Specifically, tumours with irregularly shaped blood vessels, large sinusoid-like vessels, smaller and tortuous venules and arterioles and with large areas of reticulin fibres forming large, crosslinking, branching and haphazardly arranged networks were linked to the ultra-high-risk phenotype. CONCLUSIONS: We demonstrate that quantification of tumour stroma components by morphometric techniques has the potential to improve risk stratification of neuroblastoma patients.