Related Experiment Video
Updated: Aug 5, 2026

Zebrafish Model of Neuroblastoma Metastasis
Published on: March 14, 2021
S-100 and MATH-1 Protein Expressions Can Be Useful for the Prediction of Clinical Outcome in Neuroblastoma Patients
Gamze Sanlav1, Burçin Baran1, Selen Kum Özşengezer1
1Departments of Basic Oncology.
Abstract:
Neuroblastoma (NB) is the most frequent extracranial solid tumor of childhood, remarkable for its broad spectrum of clinical behavior. This diversity in behavior correlates closely with defined clinical and biological features and combinations of prognostic variables are used for risk-group assignment. S-100 proteins have roles in differentiation and were shown to be frequently dysregulated in NB. MATH-1 protein plays role in neuronal cell differentiation through development. However, up to date, there are no studies evaluating the relationship between MATH-1 and NB. Grb2-associated binding (Gab) proteins have roles in the regulation of cell growth and differentiation. Gab1 was reported to be related to poor survival of high-risk NB patients. The aim of this study was to investigate the relationship between differentiation-related S-100, MATH-1, and Gab1 proteins and risk group and/or stages of NB. A significant relation was found between S-100 and early stages of NB. This study also revealed a significant association between MATH-1 and low-risk groups. S-100 and MATH-1 were also shown to provide survival advantages among stages and risk groups. The findings of this study support the assumption that S-100 and MATH-1 can be potential prognostic biomarkers for staging and risk-group assignment of NB patients. These proteins can be useful tools for clinicians to guide through treatment options, especially for the evaluation of tumor differentiation.
More Related Videos
09:33Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens
Published on: August 25, 2023
08:57Author Spotlight: Genetically Engineered Mouse Models and Pathological Characterization of Neurofibromatosis Type 1 Associated Tumors
Published on: May 17, 2024