The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Overall Genomic Pattern Is a Predictor of Outcome in Neuroblastoma
Open accessAbstract
Purpose: For a comprehensive overview of the genetic alterations of neuroblastoma, their association and clinical significance, we conducted a whole-genome DNA copy number analysis. Patients and Methods: A series of 493 neuroblastoma (NB) samples was investigated by array-based comparative genomic hybridization in two consecutive steps (224, then 269 patients). Results: Genomic analysis identified several types of profiles. Tumors presenting exclusively whole-chromosome copy number variations were associated with excellent survival. No disease-related death was observed in this group. In contrast, tumors with any type of segmental chromosome alterations characterized patients with a high risk of relapse. Patients with both numerical and segmental abnormalities clearly shared the higher risk of relapse of segmental-only patients. In a multivariate analysis, taking into account the genomic profile, but also previously described individual genetic and clinical markers with prognostic significance, the presence of segmental alterations with (HR, 7.3; 95% CI, 3.7 to 14.5; P < .001) or without MYCN amplification (HR, 4.5; 95% CI, 2.4 to 8.4; P < .001) was the strongest predictor of relapse; the other significant variables were age older than 18 months (HR, 1.8; 95% CI, 1.2 to 2.8; P = .004) and stage 4 (HR, 1.8; 95% CI, 1.2 to 2.7; P = .005). Finally, within tumors showing segmental alterations, stage 4, age, MYCN amplification, 1p and 11q deletions, and 1q gain were independent predictors of decreased overall survival. Conclusion: The analysis of the overall genomic pattern, which probably unravels particular genomic instability mechanisms rather than the analysis of individual markers, is essential to predict relapse in NB patients. It adds critical prognostic information to conventional markers and should be included in future treatment stratification.
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Chromosome 1p and 11q Deletions and Outcome in Neuroblastoma
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Analysis of array CGH data: from signal ratio to gain and loss of DNA regions
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Allelic Loss of Chromosome 1p as a Predictor of Unfavorable Outcome in Patients with Neuroblastoma
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Cited by
Sequencing of neuroblastoma identifies chromothripsis and defects in neuritogenesis genes
Molenaar, J. J., Koster, J., Zwijnenburg, D. A., van Sluis, P., Valentijn, L. J., van der Ploeg, I., Hamdi, M., van Nes, J., Westerman, B. A., van Arkel, J., et al. (2012) · Nature · doi:10.1038/nature10910 · Cited by 870
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Self-citationRevised Neuroblastoma Risk Classification System: A Report From the Children's Oncology Group
Irwin, M. S., Naranjo, A., Zhang, F. F., Cohn, S. L., London, W. B., Gastier-Foster, J. M., Ramirez, N. C., Pfau, R., Reshmi, S., Wagner, E., et al. (2021) · Journal of Clinical Oncology · doi:10.1200/jco.21.00278 · Cited by 494
Children's Oncology Group's 2013 blueprint for research: Neuroblastoma
Park, J. R., Bagatell, R., London, W. B., Maris, J. M., Cohn, S. L., Mattay, K. M., Hogarty, M., & on behalf of the COG Neuroblastoma Committee (2013) · Pediatric Blood & Cancer · doi:10.1002/pbc.24433 · Cited by 332
Clinical Significance of Tumor-Associated Inflammatory Cells in Metastatic Neuroblastoma
Asgharzadeh, S., Salo, J. A., Ji, L., Oberthuer, A., Fischer, M., Berthold, F., Hadjidaniel, M., Liu, C. W.-Y., Metelitsa, L. S., Pique-Regi, R., et al. (2012) · Journal of Clinical Oncology · doi:10.1200/jco.2011.40.9169 · Cited by 285
Metadata
- Authors
- Janoueix-Lerosey, I., Schleiermacher, G., Michels, E., Mosseri, V., Ribeiro, A., Lequin, D., Vermeulen, J., Couturier, J., Peuchmaur, M., Valent, A., Plantaz, D., Rubie, H., Valteau-Couanet, D., Thomas, C., Combaret, V., Rousseau, R., Eggert, A., Michon, J., Speleman, F., & Delattre, O.
- Venue
- Journal of Clinical Oncology
- Published
- 2009-03-01
- Volume
- 27
- Issue
- 7
- Pages
- 1026-1033
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2131776400
- Cited by
- 349
- References
- 28
- FWCI
- 18.19
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Janoueix-Lerosey, I., Schleiermacher, G., Michels, E., Mosseri, V., Ribeiro, A., Lequin, D., Vermeulen, J., Couturier, J., Peuchmaur, M., Valent, A., Plantaz, D., Rubie, H., Valteau-Couanet, D., Thomas, C., Combaret, V., Rousseau, R., Eggert, A., Michon, J., Speleman, F., & Delattre, O. (2009). Overall Genomic Pattern Is a Predictor of Outcome in Neuroblastoma. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2008.16.0630
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