Neuroblastoma with high ASPM reveals pronounced heterogeneity and poor prognosis

• Published in: BMC cancer Vol. 24; no. 1; pp. 1151 - 9
• Main Authors: Li, Chao, Lu, Xueyuan, Zhang, Fengxian, Huang, Shuo, Ding, Lin, Wang, Hui, Chen, Suyun
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 17.09.2024; BioMed Central; BMC
• Subjects: ASPM; Biomarkers, Tumor - metabolism; Cancer therapies; Centrosomes; Child; Child, Preschool; Computed tomography; Correlation analysis; Development and progression; Drug dosages; Female; Genetic aspects; Glucose; Humans; Infant; Male; Medical colleges; Medical prognosis; Medical research; Medicine, Experimental; Metabolic heterogeneity; Metabolism; Nerve Tissue Proteins - metabolism; Neuroblastoma; Neuroblastoma - metabolism; Neuroblastoma - mortality; Neuroblastoma - pathology; Nuclear medicine; Patients; PET imaging; Positron emission tomography; Positron Emission Tomography Computed Tomography; Prognosis; Radiomics; Regression analysis; Reproducibility; Retrospective Studies; Risk factors; Risk stratification; Software; Survival; Tomography; Tumors; Canada; China; United States > US; Metabolic heterogeneity; ASPM; Prognosis; Neuroblastoma; Risk stratification
• ISSN: 1471-2407; 1471-2407
• DOI: 10.1186/s12885-024-12912-4

We explored the preliminary value of abnormal spindle-like microcephaly- associated (ASPM) protein in aiding precise risk sub-stratification, prediction of metabolic heterogeneity, and prognosis of neuroblastoma (NB). This retrospective study enrolled newly diagnosed patients with NB who underwent positron emission tomography/computed tomography (PET/CT) before therapy, and tumor tissue was collected after surgery. Regression analysis was used to evaluate ASPM expression and risk stratification in patients with NB. The expression levels of ASPM, clinical information, and PET/CT text features were analyzed using univariate and multivariate survival analyses. Finally, a correlation analysis was used to explore the relationship between ASPM and tumor metabolic heterogeneity. There were 48 patients with NB in this study (35 boys and 13 girls); 22 patients progressed and 16 died. We found that the level of ASPM was highly associated with risk stratification (OR = 5.295, 95%IC: 1.348-41.722, p = 0.021). Patients with NB and high-risk stratification with high ASPM level had a lower 3-year progression-free survival (PFS) rate (14.28%) and 1-year PFS rate (57.14%) than those with low ASPM level (57.14% and 93.75%, respectively). Using univariate and multivariate survival analyses, this study revealed that ASPM and LDH were independent risk factors for both PFS and overall survival (OS), whales GLZLM_ZLNU was only a risk factor for PFS. ASPM holds promise as a novel biomarker for refining current risk stratification and predicting prognosis in neuroblastoma. Elevated levels of ASPM, LDH, and GLZLM_ZLNU may be associated with poorer survival outcomes in neuroblastoma patients.