Data-driven optimization of version 9 American Joint Committee on Cancer staging system for anal cancer Journal Article


Authors: Janczewski, L. M.; Browner, A.; Cotler, J.; Nelson, H.; Ballman, K. V.; LeBlanc, M.; Gollub, M. J.; Eng, C.; Brierley, J. D.; Palefsky, J. M.; Goldberg, R. M.; Goodman, K. A.; Washington, M. K.; Asare, E. A.; Palis, B.
Article Title: Data-driven optimization of version 9 American Joint Committee on Cancer staging system for anal cancer
Abstract: INTRODUCTION: The American Joint Committee on Cancer (AJCC) staging system undergoes periodic revisions to maintain contemporary survival outcomes related to stage. Recently, the AJCC has developed a novel, systematic approach incorporating survival data to refine stage groupings. The objective of this study was to demonstrate data-driven optimization of the version 9 AJCC staging system for anal cancer assessed through a defined validation approach. METHODS: The National Cancer Database was queried for patients diagnosed with anal cancer in 2012 through 2017. Kaplan–Meier methods analyzed 5-year survival by individual clinical T category, N category, M category, and overall stage. Cox proportional hazards models validated overall survival of the revised TNM stage groupings. RESULTS: Overall, 24,328 cases of anal cancer were included. Evaluation of the 8th edition AJCC stage groups demonstrated a lack of hierarchical prognostic order. Survival at 5 years for stage I was 84.4%, 77.4% for stage IIA, and 63.7% for stage IIB; however, stage IIIA disease demonstrated a 73.0% survival, followed by 58.4% for stage IIIB, 59.9% for stage IIIC, and 22.5% for stage IV (p <.001). Thus, stage IIB was redefined as T1-2N1M0, whereas Stage IIIA was redefined as T3N0-1M0. Reevaluation of 5-year survival based on data-informed stage groupings now demonstrates hierarchical prognostic order and validated via Cox proportional hazards models. CONCLUSION: The 8th edition AJCC survival data demonstrated a lack of hierarchical prognostic order and informed revised stage groupings in the version 9 AJCC staging system for anal cancer. Thus, a validated data-driven optimization approach can be implemented for staging revisions across all disease sites moving forward. © 2023 American Cancer Society.
Keywords: adult; controlled study; aged; middle aged; survival analysis; major clinical study; overall survival; validation process; united states; cancer staging; neoplasm staging; quality of life; tumor volume; proportional hazards models; proportional hazards model; cancer specific survival; kaplan meier method; epidemiology; anus cancer; process optimization; anal cancer; anus neoplasms; anus tumor; cancer prognosis; american joint committee on cancer; humans; prognosis; human; male; female; article; cancer prognostication; tumor/node/metastasis (tnm) classification
Journal Title: Cancer
Volume: 130
Issue: 9
ISSN: 0008-543X
Publisher: Wiley Blackwell  
Date Published: 2024-05-01
Start Page: 1702
End Page: 1710
Language: English
DOI: 10.1002/cncr.35155
PUBMED: 38140735
PROVIDER: scopus
DOI/URL:
Notes: Article -- Source: Scopus
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  1. Marc J Gollub
    208 Gollub