Revised Neuroblastoma Risk Classification System: A Report From the Children's Oncology Group

Author:

Irwin Meredith S.1ORCID,Naranjo Arlene2ORCID,Zhang Fan F.3ORCID,Cohn Susan L.4ORCID,London Wendy B.5ORCID,Gastier-Foster Julie M.67ORCID,Ramirez Nilsa C.67,Pfau Ruthann67,Reshmi Shalini67,Wagner Elizabeth6,Nuchtern Jed8,Asgharzadeh Shahab9ORCID,Shimada Hiroyuki10,Maris John M.11ORCID,Bagatell Rochelle11ORCID,Park Julie R.12ORCID,Hogarty Michael D.11ORCID

Affiliation:

1. Department of Pediatrics, Hospital for Sick Children, Toronto, ON, Canada

2. Children's Oncology Group Statistics and Data Center, Department of Biostatistics, University of Florida, Gainesville, FL

3. Children's Oncology Group Statistics and Data Center, Monrovia, CA

4. Department of Pediatrics, The University of Chicago, Chicago, IL

5. Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Harvard Medical School, Boston, MA

6. Institute for Genomic Medicine and Biopathology Center, Nationwide Children's Hospital, Columbus, OH

7. Departments of Pathology and Pediatrics, Ohio State University, Columbus, OH

8. Division of Pediatric Surgery, Department of Surgery, Texas Children's Hospital, Baylor College of Medicine, Houston, TX

9. Division of Hematology/Oncology, Children's Hospital of Los Angeles, Los Angeles, CA

10. Departments of Pathology and Pediatrics, Stanford University, Stanford, CA

11. Department of Pediatrics, Children's Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA

12. Department of Pediatrics, Seattle Children's Hospital, University of Washington, Seattle, WA

Abstract

PURPOSE Treatment planning for children with neuroblastoma requires accurate assessment of prognosis. The most recent Children's Oncology Group (COG) risk classification system used tumor stage as defined by the International Neuroblastoma Staging System. Here, we validate a revised classifier using the International Neuroblastoma Risk Group Staging System (INRGSS) and incorporate segmental chromosome aberrations (SCA) as an additional genomic biomarker. METHODS Newly diagnosed patients enrolled on the COG neuroblastoma biology study ANBL00B1 between 2007 and 2017 with known age, International Neuroblastoma Staging System, and INRGSS stage were identified (N = 4,832). Tumor MYCN status, ploidy, SCA status (1p and 11q), and International Neuroblastoma Pathology Classification histology were determined centrally. Survival analyses were performed for combinations of prognostic factors used in COG risk classification according to the prior version 1, and to validate a revised algorithm (version 2). RESULTS Most patients with locoregional tumors had excellent outcomes except for those with image-defined risk factors (INRGSS L2) with MYCN amplification (5-year event-free survival and overall survival: 76.3% ± 5.8% and 79.9% ± 5.5%, respectively) or patients age ≥ 18 months with L2 MYCN nonamplified tumors with unfavorable International Neuroblastoma Pathology Classification histology (72.7% ± 5.4% and 82.4% ± 4.6%), which includes the majority of L2 patients with SCA. For patients with stage M (metastatic) and MS (metastatic, special) disease, genomic biomarkers affected risk group assignment for those < 12 months ( MYCN) or 12-18 months ( MYCN, histology, ploidy, and SCA) of age. In a retrospective analysis of patient outcome, the 5-year event-free survival and overall survival using COG version 1 were low-risk: 89.4% ± 1.1% and 97.9% ± 0.5%; intermediate-risk: 86.1% ± 1.3% and 94.9% ± 0.8%; high-risk: 50.8% ± 1.4% and 61.9% ± 1.3%; and using COG version 2 were low-risk: 90.7% ± 1.1% and 97.9% ± 0.5%; intermediate-risk: 85.1% ± 1.4% and 95.8% ± 0.8%; high-risk: 51.2% ± 1.4% and 62.5% ± 1.3%, respectively. CONCLUSION A revised 2021 COG neuroblastoma risk classifier (version 2) that uses the INRGSS and incorporates SCAs has been adopted to prospectively define COG clinical trial eligibility and treatment assignment.

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

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