Developing a predictive nomogram and web-based survival calculator for locally advanced hypopharyngeal cancer: A propensity score-adjusted population-based study

作者全名："Chen, Sihao; He, Shanshan; Wang, Dan; Liu, Yi; Shao, Shilong; Tang, Li; Li, Chao; Shi, Qiuling; Liu, Jifeng; Wang, Feng; Zhang, Shichuan"

作者地址："[Chen, Sihao; He, Shanshan; Wang, Dan; Liu, Yi; Zhang, Shichuan] Southwest Med Univ, Affiliated Hosp, Dept Oncol, Luzhou, Peoples R China; [Chen, Sihao; He, Shanshan; Wang, Dan; Liu, Yi; Li, Chao; Shi, Qiuling; Liu, Jifeng; Zhang, Shichuan] Univ Elect Sci & Technol China, Sichuan Canc Hosp & Inst, Dept Radiat Oncol, Sichuan Canc Ctr,Sch Med,Radiat Oncol Key Lab Sich, Chengdu, Peoples R China; [Shao, Shilong] Univ Elect Sci & Technol China, Sch Med, Chengdu, Peoples R China; [Tang, Li] Chongqing Med Univ, Coll Publ Hlth, Chongqing, Peoples R China; [Shi, Qiuling] Chongqing Med Univ, Sch Publ Hlth & Management, State Key Lab Ultrasound Med & Engn, Chongqing, Peoples R China; [Liu, Jifeng] Sichuan Univ, West China Hosp, Dept Otolaryngol Head & Neck Surg, Chengdu, Peoples R China; [Wang, Feng] Sichuan Univ, West China Hosp, West China Med Sch, Dept Med Oncol,Canc Ctr, Chengdu, Sichuan, Peoples R China"

通信作者："Zhang, SC (通讯作者)，Southwest Med Univ, Affiliated Hosp, Dept Oncol, Luzhou, Peoples R China.; Zhang, SC (通讯作者)，Univ Elect Sci & Technol China, Sichuan Canc Hosp & Inst, Dept Radiat Oncol, Sichuan Canc Ctr,Sch Med,Radiat Oncol Key Lab Sich, Chengdu, Peoples R China."

来源：BIOMOLECULES AND BIOMEDICINE

ESI学科分类：　

WOS号：WOS:001072384300017

JCR分区：　

影响因子：　

年份：2023

卷号：23

期号：5

开始页：902

结束页：913

文献类型：Article

关键词：Locally advanced hypopharyngeal squamous cell carcinoma (LA-HPSCC); nomogram; survival; surgery-based therapy; Surveillance; Epidemiology; and End Results (SEER)

摘要："Understanding the clinical features and accurately predicting the prognosis of patients with locally advanced hypopharyngeal squamous cell carcinoma (LA-HPSCC) is important for patient-centered decision making. This study aimed to create a multi-factor nomogram predictive model and aWeb-based calculator to predict post-therapy survival for patients with LA-HPSCC. A retrospective cohort study analyzing Surveillance, Epidemiology, and End Results (SEER) database from 2004 to 2015 for patients diagnosed with LA-HPSCC was conducted and randomly divided into a training and a validation group (7:3 ratio). The external validation cohort included 276 patients fromSichuan Cancer Hospital, China. The least absolute shrinkage and selection operator (LASSO)-Cox regression analysis was used to identify independent factors associated with overall survival (OS) and cancer-specific survival (CSS), and nomogram models andWeb-based survival calculators were constructed. Propensity score matching (PSM) was used to compare survival with different treatment options. A total of 2526 patients were included in the prognostic model. The median OS and CSS for the entire cohort were 20 (18.6-21.3) months and 24 (21.7-26.2) months, respectively. Nomogrammodels integrating the seven factors demonstrated high predictive accuracy for 3-year and 5-year survival. PSMfound that patients who received surgery-based curative therapy had better OS and CSS than those who received radiotherapy-based treatment (median survival times: 33 months vs 18 months and 40 months vs 22 months, respectively). The nomogram model accurately predicted patient survival from LA-HPSCC. Surgery with adjuvant therapy yielded significantly better survival than definitive radiotherapy and should be prioritized over definitive radiotherapy."

基金机构：National Natural Science Foundation of China [81771921]

基金资助正文：Funding: The study was supported by a grant from the National Natural Science Foundation of China (Award Number: 81771921) .