» Articles » PMID: 37458162

Children's Oncology Group's 2023 Blueprint for Research: Neuroblastoma

Overview
Date 2023 Jul 17
PMID 37458162
Authors
Affiliations
Soon will be listed here.
Abstract

Neuroblastoma is the most common extra-cranial solid tumor in children and is known for its clinical heterogeneity. A greater understanding of the biology of this disease has led to both improved risk stratification and new approaches to therapy. Outcomes for children with low and intermediate risk disease are excellent overall, and efforts to decrease therapy for such patients have been largely successful. Although survival has improved over time for patients with high-risk disease and treatments evaluated in the relapse setting are now being moved into earlier phases of treatment, much work remains to improve survival and decrease therapy-related toxicities. Studies of highly annotated biobanked samples continue to lead to important insights regarding neuroblastoma biology. Such studies, along with correlative biology studies incorporated into therapeutic trials, are expected to continue to provide insights that lead to new and more effective therapies. A focus on translational science is accompanied by an emphasis on new agent development, optimized risk stratification, and international collaboration to address questions relevant to molecularly defined subsets of patients. In addition, the COG Neuroblastoma Committee is committed to addressing the patient/family experience, mitigating late effects of therapy, and studying social determinants of health in patients with neuroblastoma.

Citing Articles

Integrated multi-omics characterization of neuroblastoma with bone or bone marrow metastasis.

Huang K, Yang L, Ma Y, Cao L, Li S, Zhao Z Genes Dis. 2025; 12(3):101511.

PMID: 40070366 PMC: 11894310. DOI: 10.1016/j.gendis.2024.101511.


Prediction of Composite Clinical Outcomes for Childhood Neuroblastoma Using Multi-Omics Data and Machine Learning.

Wang P, Zhang J Int J Mol Sci. 2025; 26(1.

PMID: 39795994 PMC: 11720239. DOI: 10.3390/ijms26010136.


Identification of novel markers for neuroblastoma immunoclustering using machine learning.

Zhang L, Li H, Sun F, Wu Q, Jin L, Xu A Front Immunol. 2024; 15:1446273.

PMID: 39559348 PMC: 11570813. DOI: 10.3389/fimmu.2024.1446273.


Impact of risk-based therapy on late morbidity and mortality in neuroblastoma survivors: a report from the Childhood Cancer Survivor Study.

Friedman D, Goodman P, Leisenring W, Diller L, Cohn S, Howell R J Natl Cancer Inst. 2024; 116(6):885-894.

PMID: 38460547 PMC: 11160496. DOI: 10.1093/jnci/djae062.


Integrated machine learning-driven disulfidptosis profiling: CYFIP1 and EMILIN1 as therapeutic nodes in neuroblastoma.

Mengzhen Z, Xinwei H, Zeheng T, Nan L, Yang Y, Huirong Y J Cancer Res Clin Oncol. 2024; 150(3):109.

PMID: 38427078 PMC: 10907485. DOI: 10.1007/s00432-024-05630-8.

References
1.
van Groningen T, Koster J, Valentijn L, Zwijnenburg D, Akogul N, Hasselt N . Neuroblastoma is composed of two super-enhancer-associated differentiation states. Nat Genet. 2017; 49(8):1261-1266. DOI: 10.1038/ng.3899. View

2.
Pugh T, Morozova O, Attiyeh E, Asgharzadeh S, Wei J, Auclair D . The genetic landscape of high-risk neuroblastoma. Nat Genet. 2013; 45(3):279-84. PMC: 3682833. DOI: 10.1038/ng.2529. View

3.
Applebaum M, Vaksman Z, Lee S, Hungate E, Henderson T, London W . Neuroblastoma survivors are at increased risk for second malignancies: A report from the International Neuroblastoma Risk Group Project. Eur J Cancer. 2016; 72:177-185. PMC: 5258837. DOI: 10.1016/j.ejca.2016.11.022. View

4.
Hayes C, Burns M, Gilmour S . Polyamine blockade promotes antitumor immunity. Oncoimmunology. 2014; 3(1):e27360. PMC: 3976981. DOI: 10.4161/onci.27360. View

5.
Pinto N, Naranjo A, Ding X, Zhang F, Hibbitts E, Kennedy R . Impact of Genomic and Clinical Factors on Outcome of Children ≥18 Months of Age with Stage 3 Neuroblastoma with Unfavorable Histology and without MYCN Amplification: A Children's Oncology Group (COG) Report. Clin Cancer Res. 2023; 29(8):1546-1556. PMC: 10106446. DOI: 10.1158/1078-0432.CCR-22-3032. View