6533b7d5fe1ef96bd1265140

RESEARCH PRODUCT

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

Ana P. BerbegallIrene TadeoVictoria CastelRosa NogueraPurificación García-miguelSamuel NavarroRobert C. CallaghanSven Påhlman

subject

0301 basic medicineRiskCancer ResearchPathologymedicine.medical_specialtyblood vascularisationColorectal cancerKaplan-Meier EstimateRisk AssessmentCollagen Type IExtracellular matrix03 medical and health sciencesProstate cancerNeuroblastomaneuroblastoma0302 clinical medicineNeuroblastomamedicineHumansSurvival rateMolecular Diagnosticscollagen type I fibresbusiness.industryBrain Neoplasmsultra-high-risk neuroblastomaInfantExtracellular matrixelastic fibresmedicine.diseaseElastic TissuePrognosisSurvival RateReticulin030104 developmental biologymedicine.anatomical_structureOncologyglycosaminoglycans030220 oncology & carcinogenesisBlood Vesselsreticulin fibresBone marrowSkin cancerLiver cancerbusiness

description

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.

https://www.fundanet.incliva.es/publicaciones/ProdCientif/PublicacionFrw.aspx?id=3181