Predictive factor analysis of response-adapted radiation therapy for chemotherapy-sensitive pediatric Hodgkin lymphoma: Analysis of the Children's Oncology Group AHOD 0031 trial Journal Article


Authors: Charpentier, A. M.; Friedman, D. L.; Wolden, S.; Schwartz, C.; Gill, B.; Sykes, J.; Albert-Green, A.; Kelly, K. M.; Constine, L. S.; Hodgson, D. C.
Article Title: Predictive factor analysis of response-adapted radiation therapy for chemotherapy-sensitive pediatric Hodgkin lymphoma: Analysis of the Children's Oncology Group AHOD 0031 trial
Abstract: Purpose To evaluate whether clinical risk factors could further distinguish children with intermediate-risk Hodgkin lymphoma (HL) with rapid early and complete anatomic response (RER/CR) who benefit significantly from involved-field RT (IFRT) from those who do not, and thereby aid refinement of treatment selection. Methods and Materials Children with intermediate-risk HL treated on the Children's Oncology Group AHOD 0031 trial who achieved RER/CR with 4 cycles of chemotherapy, and who were randomized to 21-Gy IFRT or no additional therapy (n=716) were the subject of this study. Recursive partitioning analysis was used to identify factors associated with clinically and statistically significant improvement in event-free survival (EFS) after randomization to IFRT. Bootstrap sampling was used to evaluate the robustness of the findings. Result Although most RER/CR patients did not benefit significantly from IFRT, those with a combination of anemia and bulky limited-stage disease (n=190) had significantly better 4-year EFS with the addition of IFRT (89.3% vs 77.9% without IFRT; P=.019); this benefit was consistently reproduced in bootstrap analyses and after adjusting for other prognostic factors. Conclusion Although most patients achieving RER/CR had favorable outcomes with 4 cycles of chemotherapy alone, those children with initial bulky stage I/II disease and anemia had significantly better EFS with the addition of IFRT as part of combined-modality therapy. Further work evaluating the interaction of clinical and biologic factors and imaging response is needed to further optimize and refine treatment selection. © 2016
Keywords: combined modality therapy; chemotherapy; oncology; prognostic factors; patient treatment; disease control; regression analysis; predictive factors; factor analysis; recursive partitioning analysis; statistical methods; treatment selection; intermediate risks; methods and materials; bootstrap samplings
Journal Title: International Journal of Radiation Oncology, Biology, Physics
Volume: 96
Issue: 5
ISSN: 0360-3016
Publisher: Elsevier Inc.  
Date Published: 2016-12-01
Start Page: 943
End Page: 950
Language: English
DOI: 10.1016/j.ijrobp.2016.07.015
PROVIDER: scopus
PUBMED: 27869096
PMCID: PMC5584603
DOI/URL:
Notes: Article -- Export Date: 3 January 2017 -- Source: Scopus
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  1. Suzanne L Wolden
    560 Wolden