Primary Tumor Staging for Oral Cancer and a Proposed Modification Incorporating Depth of Invasion

医学 AJCC分段系统 阿卡克信息准则 癌症分期 癌症 阶段(地层学) 肿瘤科 内科学 比例危险模型 危险系数 一致性 TNM分期系统 辅助治疗 T级 生存分析 外科 登台系统 统计 置信区间 古生物学 数学 生物
作者
Ardalan Ebrahimi,Ziv Gil,Moran Amit,Tzu‐Chen Yen,Chun‐Ta Liao,Pankaj Chaturvedi,Jai Prakash Agarwal,Luiz Paulo Kowalski,Matthias Kreppel,Cláudio Roberto Cernea,José Brandão,Gideon Bachar,Andrea Bolzoni Villaret,Dan M. Fliss,Eran Fridman,K. Thomas Robbins,Jatin P. Shah,Snehal G. Patel,Jonathan R. Clark
出处
期刊:JAMA otolaryngology-- head & neck surgery [American Medical Association]
卷期号:140 (12): 1138-1138 被引量:298
标识
DOI:10.1001/jamaoto.2014.1548
摘要

IMPORTANCE: The current American Joint Committee on Cancer (AJCC) staging system for oral cancer demonstrates wide prognostic variability within each primary tumor stage and provides suboptimal staging and prognostic information for some patients. OBJECTIVE: To determine if a modified staging system for oral cancer that integrates depth of invasion (DOI) into the T categories improves prognostic performance compared with the current AJCC T staging. DESIGN, SETTING, AND PARTICIPANTS: Retrospective analysis of 3149 patients with oral squamous cell carcinoma treated with curative intent at 11 comprehensive cancer centers worldwide between 1990 and 2011 with surgery ± adjuvant therapy, with a median follow-up of 40 months. MAIN OUTCOMES AND MEASURES: We assessed the impact of DOI on disease-specific and overall survival in multivariable Cox proportional hazard models and investigated for institutional heterogeneity using 2-stage random effects meta-analyses. Candidate staging systems were developed after identification of optimal DOI cutpoints within each AJCC T category using the Akaike information criterion (AIC) and likelihood ratio tests. Staging systems were evaluated using the Harrel concordance index (C-index), AIC, and visual inspection for stratification into distinct prognostic categories, with internal validation using bootstrapping techniques. RESULTS: The mean and median DOI were 12.9 mm and 10.0 mm, respectively. On multivariable analysis, DOI was a significantly associated with disease-specific survival (P < .001), demonstrated no institutional prognostic heterogeneity (I² = 6.3%; P = .38), and resulted in improved model fit compared with T category alone (lower AIC, P < .001). Optimal cutpoints of 5 mm in T1 and 10 mm in T2-4 category disease were used to develop a modified T staging system that was preferred to the AJCC system on the basis of lower AIC, visual inspection of Kaplan-Meier curves, and significant improvement in bootstrapped C-index. CONCLUSIONS AND RELEVANCE: We propose an improved oral cancer T staging system based on incorporation of DOI that should be considered in future versions of the AJCC staging system after external validation.
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