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Author Spotlight: Genetically Engineered Mouse Models and Pathological Characterization of Neurofibromatosis Type 1 Associated Tumors
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A stiff extracellular matrix is associated with malignancy in peripheral neuroblastic tumors
Irene Tadeo1, Ana P Berbegall1, Samuel Navarro1
1Pathology Department, Medical School, University of Valencia-INCLIVA, Valencia, Spain.
Pediatric Blood & Cancer
|January 26, 2017
Summary
Extracellular matrix (ECM) patterns in neuroblastoma can predict patient prognosis. A dense ECM indicates a poor prognosis, suggesting ECM as a therapeutic target for peripheral neuroblastic tumors (PNB).
Area of Science:
- Oncology
- Pathology
- Biomaterials Science
Background:
- Peripheral neuroblastic tumors (PNB) require improved pretreatment risk stratification for better patient outcomes.
- Identifying novel therapeutic targets is crucial for advancing PNB treatment strategies.
Purpose of the Study:
- To investigate the role of extracellular matrix (ECM) components in predicting prognosis for patients with PNB.
- To explore ECM characteristics as potential biomarkers for risk stratification in neuroblastoma.
Main Methods:
- Digital pathology techniques were employed to analyze ECM elements, including reticulin, collagen type I, and elastic fibers.
- The study included a cohort of nearly 400 untreated patients with PNB.
Main Results:
- A dense, poorly porous ECM was observed in neuroblastomas (NBs) associated with poor prognosis.
- Conversely, NBs with a favorable prognosis exhibited a loose and permeable ECM structure.
Conclusions:
- Morphometric analysis of ECM aggressiveness patterns provides accurate prognostic information.
- ECM characteristics represent promising candidate elements for the development of novel therapeutic strategies in PNB.
Keywords:
collagen fiberselastic fibersextracellular matrixmicroscopic digital pathologyneuroblastomareticulin fibersMore Related Videos
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