ArticleBritish journal of cancer2016
Extracellular matrix composition defines an ultra-high-risk group of neuroblastoma within the high-risk patient cohort.
Article in British journal of cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 54 citations in OpenAlex.
- Article
- Extracellular Matrix Topography Drives Adrenergic to Mesenchymal Transition in Neuroblastoma.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Reticulin Framework Assessment in Neoplastic Endocrine Pathology.Endocrine pathology · 2025Review
- Defining neuroblastoma: From origin to precision medicine.Neuro-oncology · 2024Review
- Vitronectin Levels in the Plasma of Neuroblastoma Patients and Culture Media of 3D Models: A Prognostic Circulating Biomarker?International journal of molecular sciences · 2024Article
- Correlations between contrast-enhanced CT-measured extracellular volume fraction, histopathological features, and MYCN amplification status in abdominal neuroblastoma: a retrospective study.Abdominal radiology (New York) · 2023Article
- Clinically relevant treatment of PDX models reveals patterns of neuroblastoma chemoresistance.Science advances · 2022Article
- Review
- A 3D Bioprinted in vitro Model of Neuroblastoma Recapitulates Dynamic Tumor-Endothelial Cell Interactions Contributing to Solid Tumor Aggressive Behavior.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- MYCN amplification plus 1p36 loss of heterozygosity predicts ultra high risk in bone marrow metastatic neuroblastoma.Cancer medicine · 2022Article
- Extracellular matrix stiffness controls VEGFAngiogenesis · 2022Article
- TWIST1 expression is associated with high-risk neuroblastoma and promotes primary and metastatic tumor growth.Communications biology · 2022Article
- Vitronectin-based hydrogels recapitulate neuroblastoma growth conditions.Frontiers in cell and developmental biology · 2022Article
- Integrating digital pathology with transcriptomic and epigenomic tools for predicting metastatic uterine tumor aggressiveness.Frontiers in cell and developmental biology · 2022Article
- Improved risk stratification by PET-based intratumor heterogeneity in children with high-risk neuroblastoma.Frontiers in oncology · 2022Article
- Patient-derived models: Advanced tools for precision medicine in neuroblastoma.Frontiers in oncology · 2022Review
- Pan-Cancer Analyses Reveal Oncogenic and Immunological Role of PLOD2.Frontiers in genetics · 2022Article
- Article
- Integrated CGH/WES Analyses Advance Understanding of Aggressive Neuroblastoma Evolution: A Case Study.Cells · 2021Article
- Characterizing the Invasive Tumor Front of Aggressive Uterine Adenocarcinoma and Leiomyosarcoma.Frontiers in cell and developmental biology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough survival for neuroblastoma patients has dramatically improved in recent years, a substantial number of children in the high-risk subgroup still die.
methodsWe 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.
resultsThe 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.
conclusionsWe demonstrate that quantification of tumour stroma components by morphometric techniques has the potential to improve risk stratification of neuroblastoma patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.