Early squamous cell carcinoma of the oral tongue with histologically benign lymph nodes: A model predicting local control and vetting of the eighth edition of the American Joint Committee on Cancer pathologic T stage
Background The eighth edition of the American Joint Committee on Cancer staging manual (AJCC8) added depth of invasion to the definition of pathologic T stage (pT). In the current study, the authors assess pT stage migration and the prognostic performance of the updated pT stage and compare it with...
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Published in | Cancer Vol. 125; no. 18; pp. 3198 - 3207 |
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Main Authors | , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Wiley Subscription Services, Inc
15.09.2019
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Subjects | |
Online Access | Get full text |
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Summary: | Background
The eighth edition of the American Joint Committee on Cancer staging manual (AJCC8) added depth of invasion to the definition of pathologic T stage (pT). In the current study, the authors assess pT stage migration and the prognostic performance of the updated pT stage and compare it with other clinicopathologic variables in patients with early squamous cell carcinoma of the oral tongue (OTSCC; tumors measuring ≤4 cm) with histologically benign lymph nodes (pN0).
Methods
A multi‐institutional cohort of patients with early OTSCC was restaged as per AJCC8. Primary endpoints were local recurrence (LR) and locoregional recurrence (LRR). Influential variables were identified and an LR/LRR prediction model was developed.
Results
There were a total of 494 patients, with 49 LR and 73 LRR. AJCC8 pT criteria resulted in upstaging of 37.9% of patients (187 of 494 patients), including 34.5% (64 of 185 patients) from pT2 to pT3, without improving the prognostication for LR or LRR. Both LR and LRR were found to be similar for patients with AJCC8 pT2 and pT3 disease. On multivariate analysis, LR was only found to be associated with distance to the closest margin (hazard ratio, 0.36; 95% CI, 0.20‐0.64 [P = .0007]) and perineural invasion (hazard ratio, 1.92; 95% CI, 1.10‐0.64 [P = .046]). Based on these 2 predictors, a final proportional hazards regression model (which may be used similar to a nomogram) was developed. The proposed model appeared to be superior to AJCC pT stage for estimating the probability of LR and LRR for individual patients with early OTSCC.
Conclusions
AJCC8 pT criteria resulted in pT upstaging of patients with pN0 disease without improved LR or LRR prognostication. The proposed model based on distance to the closest margin and perineural invasion, status outperformed pT as a predictor of LR and LRR in patients with early OTSCC.
In this study, pT criteria based on the eighth edition of the American Joint Committee on Cancer result in pT upstaging of patients with pN0 disease without improved prognostication of local control. The model, based on distance to the closest margin and perineural invasion, is noted to outperform pT as a predictor of local control in patients with early carcinoma of the oral tongue. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 AUTHOR CONTRIBUTIONS Shaum Sridharan: Conceptualization, formal analysis, methodology, visualization, and writing. Lester D. R. Thompson: Conceptualization, data curation, methodology, resources, and writing. Bibianna Purgina: Conceptualization, data curation, methodology, resources, and writing. Charles D. Sturgis: Conceptualization, data curation, methodology, resources, and writing. Akeesha A. Shah: Conceptualization, data curation, methodology, resources, and writing. Brian Burkey: Conceptualization, resources, methodology, visualization, and writing. Madalina Tuluc: Conceptualization, data curation, methodology, resources, and writing. David Cognetti: Conceptualization, resources, methodology, visualization, and writing. Bin Xu: Conceptualization, data curation, methodology, resources, and writing. Kevin Higgins: Conceptualization, resources, methodology, visualization, and writing. Juan C. Hernandez-Prera: Conceptualization, data curation, methodology, resources, and writing. Dominick Guerrero: Conceptualization, data curation, methodology, resources, and writing. Manish M. Bundele: Conceptualization, data curation, methodology, resources, and writing. Seungwon Kim: Conceptualization, resources, methodology, visualization, and writing. Umamaheswar Duvvuri: Conceptualization, resources, methodology, visualization, and writing. Robert L. Ferris: Conceptualization, data curation, funding acquisition, project administration, resources, supervision, visualization, and writing. William E. Gooding: Conceptualization, data curation, formal analysis, funding acquisition, investigation, methodology, software, supervision, validation, visualization, and writing. Simion I. Chiosea: Conceptualization, data curation, formal analysis, funding acquisition, investigation, methodology, project administration, resources, supervision, visualization, and writing. |
ISSN: | 0008-543X 1097-0142 |
DOI: | 10.1002/cncr.32199 |