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Engineering neuroblastoma models for clinical translationOA

中文摘要

Neuroblastoma is a profoundly heterogenous extracranial solid tumor in pediatric patients.Elevated risk grade of neuroblastoma has been correlated with unsatisfactory prognosis and resistance to chemotherapy.Despite multimodal therapies exploited for killing neuroblastoma tumor cells,in high-risk neuroblastoma patients,the long-term survival is currently less than 50%.Promising approaches to evaluating the extent of heterogeneity via gene expression profiling of cell subpopulations within individual tumors are still lacking.There is uncertainty about the cross-talk between neuroblastoma cells and other non-neoplastic cell components in the tumor microenvironment.Recently,concerns about individualized eradication therapies have advanced the demand for the diversified construction of neuroblastoma tumor models.This review briefly introduces the genetic variation,subpopulations,and tumor microenvironment aspects of neuroblastoma heterogeneity.Then,we summarize recent methods of constructing tumor models to mimic the biological features of neuroblastoma tumors in vitro.Finally,we conclude the future trends and perspectives in neuroblastoma tumor therapy.

Taiyu Song;Rui Liu;Feika Bian;Bin Kong;Jingjing Gan

Department of Pediatrics,Institute of Translational Medicine,The Affiliated Drum Tower Hospital of Nanjing University Medical School,Nanjing 210002,ChinaInstitute of Translational Medicine,The Affiliated Drum Tower Hospital of Nanjing University Medical School,Nanjing 210002,ChinaZhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation,the First Affiliated Hospital,Wenzhou Medical University,Wenzhou 325035,ChinaDepartment of Biomedical Engineering,School of Medicine,Shenzhen University,Shenzhen,Guangdong 518000,ChinaInstitute of Translational Medicine,The Affiliated Drum Tower Hospital of Nanjing University Medical School,Nanjing 210002,China

医药卫生

NeuroblastomaHeterogeneityTumor microenvironmentTumor models

《Engineered Regeneration》 2025 (1)

P.146-159,14

supported by the National Natural Science Foundation of China(82303960,82101906,82101184,82102181)the Natural Science Foundation of Jiangsu Province(BK20210009)the Nanjing Distinguished Young Scholars Foundation(JQX22002)Guangdong Basic and Applied Basic Research Foundation(2024A1515010457)the Shenzhen Science and Technology Program(JCYJ20210324102809024)the Shenzhen Medical Research Fund(A2303017).

10.1016/j.engreg.2025.05.002

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