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Qiu K, Pang W, Qiu J, Li J, Cheng D, Rao Y, Dong Y, Mao M, Liu Q, Mu X, Zhang W, Xu W, Ren J, Zhao Y. Evaluating the prognostic contributions of TNM classifications and building novel staging schemes for middle ear squamous cell carcinoma. Cancer Med 2021; 10:7958-7967. [PMID: 34559476 PMCID: PMC8607269 DOI: 10.1002/cam4.4306] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 08/29/2021] [Accepted: 09/05/2021] [Indexed: 02/05/2023] Open
Abstract
Background A universally acknowledged cancer staging system considering all aspects of the T‐, N‐, and M‐classifications for middle ear squamous cell carcinoma (MESCC) remains absent, limiting the clinical management of MESCC patients. Materials and Methods A total of 214 MESCC patients were extracted from the SEER (the Surveillance, Epidemiology, and End Results) database between 1973 and 2016. The relationships between patient’s characteristics and prognoses were analyzed by Kaplan–Meier and Cox proportional hazards regression models. Novel staging schemes for MESCC were designed by adjusted hazard ratio (AHR) modeling method according to the combinations of Stell’s T‐classification and the eighth AJCC N‐ and M‐classifications, of which performances were evaluated based on five criteria: hazard consistency, hazard discrimination, explained variation, likelihood difference, and balance. Results T‐classification was the most significant prognostic factor for MESCC patients in multivariable analysis (p = 0.021). The N‐ and M‐classifications also had obvious prognostic effect but were not statistically significant by multivariate analysis due to the limited metastasis events. Three novel staging schemes (AHR‐Ⅰ–Ⅲ models, different combination of T‐ and N‐classifications) and ST (solely derived from Stell’s T‐classification) were developed, among which the AHR‐Ⅰ staging scheme performed best. Conclusions Tumor extension, quantified by Stell’s T‐classification, is the most significant prognostic factor for MESCC patients. However, our AHR‐Ⅰ staging scheme, a comprehensive staging scheme that integrating T‐, N‐, and M‐classifications, might be an optimal option for clinical practitioners to predict MESCC patients’ prognosis and make proper clinical decisions.
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Affiliation(s)
- Ke Qiu
- Department of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, China
| | - Wendu Pang
- Department of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, China
| | - Jianqing Qiu
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
| | - Junhong Li
- Department of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, China
| | - Danni Cheng
- Department of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, China
| | - Yufang Rao
- Department of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, China
| | - Yijun Dong
- Department of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, China
| | - Minzi Mao
- Department of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, China
| | - Qiurui Liu
- Department of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaosong Mu
- Department of Oto-Rhino-Laryngology, Langzhong People's Hospital, Langzhong, China
| | - Wei Zhang
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.,Medical Big Data Center, Sichuan University, Chengdu, China
| | - Wei Xu
- Department of Biostatistics, Princess Margaret Cancer Centre and Dalla Lana School of Public Health, Toronto, Ontario, Canada
| | - Jianjun Ren
- Department of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, China.,West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.,Medical Big Data Center, Sichuan University, Chengdu, China
| | - Yu Zhao
- Department of Oto-Rhino-Laryngology, West China Hospital, Sichuan University, Chengdu, China.,West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.,Medical Big Data Center, Sichuan University, Chengdu, China
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