Establishment and Validation of Prognostic Nomograms for Patients With Parotid Gland Adenocarcinoma Not Otherwise Specified: A SEER Analysis From 2004 to 2016.
Establishment and Validation of Prognostic Nomograms for Patients With Parotid Gland Adenocarcinoma Not Otherwise Specified: A SEER Analysis From 2004 to 2016.
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DOI：
10.3389/fsurg.2021.799452
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发表时间：
2021
影响因子：
1.8
通讯作者：
Xiang ZL
中科院分区：
文献类型：
--
作者：
Wang ZM;Xiang ZL
背景：腮腺腺癌(PANOS)是一种罕见的恶性肿瘤，其特征和预后资料有限。这项研究的目的是描述Panos的特征，并开发Panos患者的预后预测模型。方法：2004年至2016年的病例选自监测、流行病学和最终结果(SEER)计划数据库。采用单因素和多因素COX回归分析与生存相关的因素。竞争风险分析和格雷检验被用来分析癌症特有的死亡。采用倾向性分数匹配(1：1)减少混杂变量的影响。结果：共入选446例患者，中位年龄66岁，其中307例确诊为III/IV期PANOS。5年总生存率为51.8%，中位生存期为66个月。手术治疗明显延长了生存时间(p<；0.001)。在亚组分析中，放射治疗对III/IV期疾病患者的存活率有好处(p<；0.001)。多因素Cox回归分析显示，年龄、T分期、N分期、M分期和手术是影响OS预后的独立指标，T分期、N分期、M分期和手术是影响肿瘤特异性生存的独立危险因素。此外，年龄与其他特定原因的死亡独立相关。根据多变量分析的结果，建立了两个诺模图，并用一致性指数(C指数)(OS和CS)(0.747和0.780)和随时间变化的接受者工作特征(ROC)曲线下面积(预测3年、5年和10年OS的诺模图分别为0.756、0.764和0.819，以及CS的0.794、0.789和0.806)进行了验证。结论：我们的研究清楚地展示了Panos患者的临床病理特征和生存分析。此外，我们构建的诺模图预测模型可以帮助医生评估患者的个体化预后和决定患者的治疗。
Background: Parotid gland adenocarcinoma not otherwise specified (PANOS) is a rare malignant tumor with limited data on its characteristics and prognosis. This research is aimed at characterizing PANOS and developing prognostic prediction models for patients with PANOS. Methods: Cases from 2004–2016 were selected from the Surveillance, Epidemiology, and End Results (SEER) Program database. Univariate and multivariate Cox regression were applied to ascertain the factors associated with survival. Competing risk analysis and Gray's tests were employed to analyze cancer-specific death. Propensity score matching (1:1) was conducted to reduce the influence of confounding variables. Results: A total of 446 patients with a median age of 66 years were selected, of which 307 were diagnosed with stage III/IV PANOS. The 5-year overall survival (OS) rate of all patients was 51.8%, and the median survival time was 66 months. Surgical treatment clearly improved survival time (p < 0.001). In the subgroup analysis, radiotherapy showed survival benefits in patients with stage III/IV disease (p < 0.001). Multivariate Cox regression analyses showed that age, T classification, N classification, M classification and surgery were independent prognostic indicators for OS; T classification, N classification, M classification and surgery were independent risk factors for cancer-specific survival (CSS). In addition, age was independently associated with other cause-specific death. Based on the results of multivariate analysis, two nomograms were developed and verified by the concordance index (C-index) (0.747 and 0.780 for OS and CSS) and the area under the time-dependent receiver operating characteristic (ROC) curve (0.756, 0.764, and 0.819 regarding for nomograms predicting 3-, 5-, and 10- year OS, respectively and 0.794, 0.789, and 0.806 for CSS, respectively). Conclusions: Our study clearly presents the clinicopathological features and survival analysis of patients with PANOS. In addition, our constructed nomogram prediction models may assist physicians in evaluating the individualized prognosis and deciding on treatment for patients.
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影响因子：
3.8
作者：
Fu, Jin-Ye;Wu, Chun-Xiao;Zhang, Zhi-Yuan
通讯作者：
Zhang, Zhi-Yuan
DOI：
10.1016/s1470-2045(14)71116-7
发表时间：
2015-04
期刊：
The Lancet. Oncology
影响因子：
--
作者：
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通讯作者：
DeMatteo RP
影响因子：
4.8
作者：
Bjorndal, Kristine;Krogdahl, Annelise;Godballe, Christian
通讯作者：
Godballe, Christian
影响因子：
2.6
作者：
Spinazzi, Eleonora F. i;Abboud, Mohammad T.;Eloy, Jean Anderson
通讯作者：
Eloy, Jean Anderson
影响因子：
5.2
作者：
Tasoulas J;Divaris K;Theocharis S;Farquhar D;Shen C;Hackman T;Amelio AL
通讯作者：
Amelio AL