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美国胃肠胰神经内分泌肿瘤患者总体生存的流行病学趋势及相关因素。

Epidemiologic Trends of and Factors Associated With Overall Survival for Patients With Gastroenteropancreatic Neuroendocrine Tumors in the United States.

机构信息

Lung Cancer Center, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China.

Cancer Institute of People's Liberation Army, Xinqiao Hospital, Army Medical University, Chongqing, People's Republic of China.

出版信息

JAMA Netw Open. 2021 Sep 1;4(9):e2124750. doi: 10.1001/jamanetworkopen.2021.24750.

DOI:10.1001/jamanetworkopen.2021.24750
PMID:34554237
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8461504/
Abstract

IMPORTANCE

Although the incidence and prevalence of gastroenteropancreatic neuroendocrine tumors (GEP-NETs) have been thought to have increased during the past decades, updated epidemiologic and survival data are lacking.

OBJECTIVES

To conduct an epidemiologic and survival analysis of the largest cohort of patients with GEP-NETs using the latest data and to establish a novel nomogram to predict the survival probability of individual patients with GEP-NETs.

DESIGN, SETTING, AND PARTICIPANTS: In this cohort study, 43 751 patients with GEP-NETs diagnosed from January 1, 1975, to December 31, 2015, were identified from the Surveillance, Epidemiology, and End Results Program. Associated data were used for epidemiologic and survival analysis, as well as the establishment and validation of a nomogram to predict the survival probability of individual patients with GEP-NETs. The study cutoff date was December 31, 2018. Statistical analysis was performed from February 1 to April 30, 2020.

MAIN OUTCOMES AND MEASURES

Incidence, factors associated with overall survival, and a nomogram model for patients with GEP-NETs.

RESULTS

A total of 43 751 patients received a diagnosis of GEP-NETs from 1975 to 2015 (22 398 women [51.2%], 31 976 White patients [73.1%], 7097 Black patients [16.2%], 3207 Asian and Pacific Islander patients [7.3%], 270 American Indian and Alaska Native patients [0.6%], and 4546 patients of unknown race [10.4%]; mean [SD] age at diagnosis, 58 [15] years). The age-adjusted incidence rate of GEP-NETs increased 6.4-fold from 1975 to 2015 (annual percentage change [APC], 4.98; 95% CI, 4.75-5.20; P < .001). Furthermore, among site groups, the incidence of GEP-NETs in the rectum increased most significantly (APC, 6.43; 95% CI, 5.65-7.23; P < .001). As for stage and grade, the incidence increased the most in localized GEP-NETs (APC, 6.53; 95% CI, 6.08-6.97; P < .001) and G1 GEP-NETs (APC, 18.93; 95% CI, 17.44-20.43; P < .001). During the study period, the mean age at diagnosis for localized disease increased by 9.0 years (95% CI, 3.3-14.7 years; P = .002), which remained unchanged for regional and distant cases. On multivariable analyses, age, sex, marital status, and tumor size, grade, stage, and site were significantly associated with overall survival for patients with GEP-NETs (eg, patients with distant vs localized disease: hazard ratio, 10.32; 95% CI, 8.56-12.43; G4 vs G1 GEP-NET: hazard ratio, 6.37; 95% CI, 5.39-7.53). Furthermore, a nomogram comprising age, size, grade, stage, and site was established to predict the 3-year and 5-year survival probability, with the concordance indexes of 0.893 (95% CI, 0.883-0.903) for the internal validations and 0.880 (95% CI, 0.866-0.894) for the external validations. The receiver operating characteristic curve demonstrated that the nomogram exhibited better discrimination power than TNM classification (area under the curve for 3-year overall survival, 0.908 vs 0.795; for 5-year overall survival, 0.893 vs 0.791).

CONCLUSIONS AND RELEVANCE

In this study, the incidence and prevalence of GEP-NETs have continued to increase over 40 years, especially among patients with rectal GEP-NETs. In addition, this study suggests that a nomogram with 5 prognostic parameters may accurately quantify the risk of death among patients with GEP-NETs, indicating that it has satisfactory clinical practicality.

摘要

重要性

尽管过去几十年来,胃肠胰神经内分泌肿瘤(GEP-NETs)的发病率和患病率被认为有所增加,但缺乏最新的流行病学和生存数据。

目的

利用最新数据对最大的 GEP-NET 患者队列进行流行病学和生存分析,并建立一个新的列线图来预测 GEP-NET 患者的生存概率。

设计、地点和参与者:在这项队列研究中,从 1975 年 1 月 1 日至 2015 年 12 月 31 日,从监测、流行病学和最终结果(SEER)计划中确定了 43751 例 GEP-NET 患者。使用相关数据进行了流行病学和生存分析,以及建立和验证预测 GEP-NET 患者生存概率的列线图。研究截止日期为 2018 年 12 月 31 日。统计分析于 2020 年 2 月 1 日至 4 月 30 日进行。

主要结果和措施

GEP-NET 患者的发病率、与总生存率相关的因素以及 GEP-NET 患者的列线图模型。

结果

从 1975 年到 2015 年,共有 43751 例患者被诊断为 GEP-NETs(22398 名女性[51.2%],31976 名白人患者[73.1%],7097 名黑人患者[16.2%],3207 名亚洲和太平洋岛民患者[7.3%],270 名美国印第安人和阿拉斯加原住民患者[0.6%],以及 4546 名未知种族患者[10.4%];平均[标准差]年龄为 58[15]岁)。GEP-NETs 的年龄调整发病率从 1975 年到 2015 年增加了 6.4 倍(年百分比变化[APC],4.98;95%置信区间[CI],4.75-5.20;P<.001)。此外,在肿瘤部位组中,直肠 GEP-NETs 的发病率增长最为显著(APC,6.43;95%CI,5.65-7.23;P<.001)。就肿瘤分期和分级而言,局限性 GEP-NETs(APC,6.53;95%CI,6.08-6.97;P<.001)和 G1 GEP-NETs(APC,18.93;95%CI,17.44-20.43;P<.001)的发病率增长最多。在研究期间,局限性疾病患者的平均诊断年龄增加了 9.0 岁(95%CI,3.3-14.7 岁;P=.002),而区域性和远处疾病的患者则没有变化。在多变量分析中,年龄、性别、婚姻状况以及肿瘤大小、分级、分期和部位与 GEP-NET 患者的总生存率显著相关(例如,远处疾病与局限性疾病相比:风险比,10.32;95%CI,8.56-12.43;G4 与 G1 GEP-NET 相比:风险比,6.37;95%CI,5.39-7.53)。此外,建立了一个包含年龄、大小、分级、分期和部位的列线图,以预测 3 年和 5 年的生存概率,内部验证的一致性指数为 0.893(95%CI,0.883-0.903),外部验证的一致性指数为 0.880(95%CI,0.866-0.894)。受试者工作特征曲线表明,列线图比 TNM 分类具有更好的区分能力(3 年总生存率的曲线下面积为 0.908 与 0.795;5 年总生存率的曲线下面积为 0.893 与 0.791)。

结论和相关性

在这项研究中,GEP-NETs 的发病率和患病率在 40 多年来持续增加,尤其是直肠 GEP-NETs。此外,这项研究表明,具有 5 个预后参数的列线图可以准确量化 GEP-NET 患者的死亡风险,表明其具有令人满意的临床实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb09/8461504/7e129f829311/jamanetwopen-e2124750-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb09/8461504/fac2a8e80f50/jamanetwopen-e2124750-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb09/8461504/ecf7bfbe26db/jamanetwopen-e2124750-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb09/8461504/1f693a3321a9/jamanetwopen-e2124750-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb09/8461504/206deef75280/jamanetwopen-e2124750-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb09/8461504/7e129f829311/jamanetwopen-e2124750-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb09/8461504/fac2a8e80f50/jamanetwopen-e2124750-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb09/8461504/ecf7bfbe26db/jamanetwopen-e2124750-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb09/8461504/1f693a3321a9/jamanetwopen-e2124750-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb09/8461504/206deef75280/jamanetwopen-e2124750-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb09/8461504/7e129f829311/jamanetwopen-e2124750-g005.jpg

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