Expression Pattern of Tumor-associated Antigens in Neuroblastoma: Association With Cytogenetic Features and Survival.

Autor: MELESHKO, ALEXANDER, KUSHNIAROVA, LIZAVETA, SHINKEVICH, VERONIKA, MIKHALEUSKAYA, TAISIA, VALOCHNIK, ALENA, PROLESKOVSKAYA, INNA
Předmět:
Zdroj: Cancer Diagnosis & Prognosis; Nov/Dec2023, Vol. 3 Issue 6, p695-705, 11p
Abstrakt: Background/Aim: The prognosis of high-risk and relapsed neuroblastoma (NB) patients remains poor. The identification of tumor-associated markers is important for differential diagnosis, prognosis, and the development of targeted therapies. The aim of the study was to determine the expression profile of nine most common NB antigens and assess their association with clinicopathological characteristics and patient survival. Patients and Methods: Tumor samples from 86 patients with NB were evaluated for the expression of tumor-associated antigen (TAA) using quantitative PCR. Twenty-one patients with benign tumors and 17 healthy donors were assigned as controls. Results: Overexpression of tyrosine hydroxylase (TH), PHOX2B, PRAME, GPC2, B7-H3, and Survivin is the most typical for NB. Positive expression of MAGEA3, MAGEA1, and NY-ESO-1 at low levels was detected in 54%, 48%, and 52%, respectively, and was not NB specific. Higher TH expression was observed in samples without MYCN-amplification, while higher expression of Survivin, PHOX2B, and GPC2 was significantly associated with the presence of 1p.36 deletion. Overexpression of TH, PHOX2B, and MAGEA1 was associated with better event-free (EFS) and overall survival (OS). Survivin overexpression was associated with poor EFS but had no impact on OS. Multivariate analysis confirmed Survivin as independent marker for poor survival, and PHOX2B and MAGEA1 for better survival. Conclusion: High expression of TH, PHOX2B, and MAGEA1 genes are favorable prognostic factors for OS and EFS, whereas high expression of Survivin is associated with an increased risk of relapse or progression. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index