Contemporary Incidence and Survival of Lung Neuroendocrine Neoplasms.

IF 9.7 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Julie Hallet, Mathieu Rousseau, Elliot Wakeam, Sten Myrehaug, Léamarie Meloche-Dumas, Anna Gombay, Wing Chan, Simron Singh
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引用次数: 0

Abstract

Importance: While the epidemiology of overall and gastrointestinal neuroendocrine neoplasms (NENs) has been reported, data specific to lung NENs remain scarce.

Objective: To examine the incidence, overall survival (OS), and lung cancer-specific death for lung NENs.

Design, setting, and participants: Population-based retrospective cohort study in Ontario, Canada, of adult patients with incident lung NENs from 2000 to 2020. Data were analyzed from July to December 2024.

Main outcomes and measures: Yearly incidence rates of lung NENs. OS examined with Kaplan-Meier curves and Cox regression models. Lung cancer-specific deaths using cumulative incidence function and Fine-Gray models accounting for the competing risk of death from other causes.

Results: Among 4479 total patients, the median (IQR) age at diagnosis was 67 (57-74) years, and 2521 (56.3%) were female; 2056 (45.9%) had typical neuroendocrine tumors (NET), 370 (8.3%) atypical NET, 998 (22.3%) large cell neuroendocrine carcinoma (NEC, including small cell and mixed NEC), and 1055 (23.6%) other NEC, as well as 1103 (24.6%) who presented as stage IV. The incidence of lung NENs increased 2.87-fold from 0.87 to 2.50 per 100 000 from 2000 to 2020. This rise in incidence was observed mostly for typical NET (from 0.51 to 1.09) and for stage I (0.68 to 1.18). With a median (IQR) follow-up of 34 (9-87) months, 5- and 10-year OS were 50% (95% CI, 49%-51%) and 40% (95% CI, 39%-41%) overall. Advancing age, lower socioeconomic status, type of lung NEN, and advancing stage were independently associated with inferior OS. Cumulative incidence of lung cancer-specific deaths was 41% (95% CI, 40%-42%) at 5 years and 46% (95% CI, 45%-47%) at 10 years. Advancing age, type of lung NEN, and increasing stage were independently associated with higher hazards of lung cancer-specific deaths. Lung cancer-specific deaths were exceeded by deaths from other causes starting 2 year after diagnosis for typical NET and 3 years after diagnosis for stage I disease.

Conclusions and relevance: The incidence of lung NENs has increased over 20 years, mostly associated with stage I disease. Prolonged OS was observed after lung NEN diagnosis. Patients with typical lung NET and stage I disease were more likely to die of causes other than lung cancer after 1 and 3 years, respectively. These data are important to direct efforts in care, research, and patient counseling.

当代肺神经内分泌肿瘤的发病率和生存率。
重要性:虽然整体和胃肠道神经内分泌肿瘤(NENs)的流行病学已有报道,但肺NENs的特异性数据仍然很少。目的:探讨肺NENs的发病率、总生存期(OS)和肺癌特异性死亡。设计、环境和参与者:加拿大安大略省2000年至2020年发生肺部NENs的成年患者的基于人群的回顾性队列研究。数据分析时间为2024年7月至12月。主要结局和指标:肺NENs年发病率。用Kaplan-Meier曲线和Cox回归模型检验OS。肺癌特异性死亡,使用累积发病率函数和细灰模型计算其他原因死亡的竞争风险。结果:4479例患者中,诊断时的中位(IQR)年龄为67(57 ~ 74)岁,女性2521例(56.3%);典型神经内分泌肿瘤(NET) 2056例(45.9%),非典型NET 370例(8.3%),大细胞神经内分泌癌(NEC,包括小细胞和混合型NEC) 998例(22.3%),其他NEC 1055例(23.6%),IV期1103例(24.6%)。2000 - 2020年,肺NENs发病率从0.87 / 100 000增加到2.50 / 100 000,增加了2.87倍。这种发病率的上升主要发生在典型NET(从0.51到1.09)和I期(从0.68到1.18)。中位(IQR)随访34(9-87)个月,5年和10年总体OS分别为50% (95% CI, 49%-51%)和40% (95% CI, 39%-41%)。高龄、低社会经济地位、肺NEN类型和进展阶段与不良OS独立相关。肺癌特异性死亡的累积发生率在5年时为41% (95% CI, 40%-42%),在10年时为46% (95% CI, 45%-47%)。年龄增长、肺NEN类型和分期增加与肺癌特异性死亡的风险增加独立相关。典型NET诊断后2年和I期疾病诊断后3年开始,肺癌特异性死亡人数超过其他原因死亡人数。结论及相关性:肺部NENs的发病率在过去20年中有所增加,主要与I期疾病有关。肺NEN诊断后OS延长。典型肺NET患者和I期疾病患者分别在1年和3年后死于肺癌以外的原因。这些数据对指导护理、研究和患者咨询工作非常重要。
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来源期刊
JAMA Network Open
JAMA Network Open Medicine-General Medicine
CiteScore
16.00
自引率
2.90%
发文量
2126
审稿时长
16 weeks
期刊介绍: JAMA Network Open, a member of the esteemed JAMA Network, stands as an international, peer-reviewed, open-access general medical journal.The publication is dedicated to disseminating research across various health disciplines and countries, encompassing clinical care, innovation in health care, health policy, and global health. JAMA Network Open caters to clinicians, investigators, and policymakers, providing a platform for valuable insights and advancements in the medical field. As part of the JAMA Network, a consortium of peer-reviewed general medical and specialty publications, JAMA Network Open contributes to the collective knowledge and understanding within the medical community.
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