Real-World Clinical Characteristics, Treatment Patterns, and Clinical Outcomes in US Patients with Stage I-III Resected NSCLC Without Known EGFR Mutations: The RESECT Study.

IF 1.9 Q3 PHARMACOLOGY & PHARMACY
Jhanelle E Gray, Rachel J Salomonsen, Ignacio Diaz Perez, Alice Wang, Ling Cai, Graham Wetherill, Yang Xiao, Claire Fielden, Nefeli Georgoulia
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引用次数: 0

Abstract

Background: Immunotherapy has altered the treatment landscape for resectable non-small cell lung cancer, increasing the complexity of treatment planning. Understanding treatment patterns and outcomes prior to the advent of immunotherapy can provide context for assessing the benefit of immunotherapies and other novel agents.

Objective: We aimed to characterize real-world demographics, clinical characteristics, treatment patterns, and clinical outcomes of patients with early-stage non-small cell lung cancer before widespread immunotherapy use.

Methods: Analyses included patients from the US CancerLinQ Discovery® database diagnosed with stage I-III non-small cell lung cancer between 2014 and 2020 without known EGFR mutations who underwent surgical resection within 140 days of diagnosis. The primary outcome was treatment patterns by disease stage.

Results: Analyses included 3077 patients with stage I (n = 1673), II (n = 853), and III (n = 551) disease. Most (92.8%, 52.3%, and 36.5% of stage I, II, and III patients) received surgery without systemic therapy. Among stage I, II, and III patients, 7.2%, 44.8%, and 46.6% received adjuvant therapy only. Of stage II and III patients, 2.0% and 10.2% received neoadjuvant therapy only, and 0.9% and 6.7% received both (stage I patients who received neoadjuvant only or perioperative therapy were excluded because of low numbers [n = 4]). Five-year overall survival rates were 73.4%, 61.9%, and 50.5% in stage I, II, and III patients; 5-year real-world relapse-free survival rates were 35.4%, 23.1%, and 14.0%. In an exploratory multivariate analysis, neoadjuvant treatment was associated with improved overall survival and real-world relapse-free survival in stage II-III patients (stage I patients not evaluable). Adjuvant treatment was associated with improved real-world relapse-free survival, but not overall survival, in stage II-III patients.

Conclusions: Most patients received surgery alone, though the proportion receiving systemic treatment increased with disease stage. Modest 5-year, real-world relapse-free survival rates indicate a need for more effective neoadjuvant or adjuvant treatments in this setting.

美国无已知EGFR突变的I-III期非小细胞肺癌切除术患者的临床特征、治疗模式和临床结果:The RESECT研究
背景:免疫疗法已经改变了可切除的非小细胞肺癌的治疗前景,增加了治疗计划的复杂性。在免疫疗法出现之前了解治疗模式和结果可以为评估免疫疗法和其他新药物的益处提供背景。目的:我们旨在描述在广泛使用免疫疗法之前早期非小细胞肺癌患者的真实世界人口统计学特征、临床特征、治疗模式和临床结果。方法:分析来自美国CancerLinQ Discovery®数据库的2014年至2020年间诊断为I-III期非小细胞肺癌的患者,无已知EGFR突变,并在诊断后140天内进行手术切除。主要结局是疾病分期的治疗模式。结果:分析包括3077例I期(n = 1673)、II期(n = 853)和III期(n = 551)疾病患者。大多数(92.8%,52.3%和36.5%的I, II和III期患者)接受手术而不进行全身治疗。在I、II和III期患者中,仅接受辅助治疗的分别为7.2%、44.8%和46.6%。在II期和III期患者中,仅接受新辅助治疗的患者占2.0%和10.2%,同时接受新辅助治疗的患者占0.9%和6.7% (I期仅接受新辅助治疗或围手术期治疗的患者因人数少而被排除在外[n = 4])。I、II和III期患者的5年总生存率分别为73.4%、61.9%和50.5%;5年真实无复发生存率分别为35.4%、23.1%和14.0%。在一项探索性多变量分析中,新辅助治疗与II-III期患者(I期患者不可评估)的总生存率和真实世界无复发生存率相关。辅助治疗与II-III期患者实际无复发生存期的改善相关,但与总生存期无关。结论:多数患者接受单纯手术治疗,但随着病程分期,接受全身治疗的比例增加。适度的5年无复发生存率表明在这种情况下需要更有效的新辅助或辅助治疗。
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来源期刊
Drugs - Real World Outcomes
Drugs - Real World Outcomes PHARMACOLOGY & PHARMACY-
CiteScore
3.60
自引率
5.00%
发文量
49
审稿时长
8 weeks
期刊介绍: Drugs - Real World Outcomes targets original research and definitive reviews regarding the use of real-world data to evaluate health outcomes and inform healthcare decision-making on drugs, devices and other interventions in clinical practice. The journal includes, but is not limited to, the following research areas: Using registries/databases/health records and other non-selected observational datasets to investigate: drug use and treatment outcomes prescription patterns drug safety signals adherence to treatment guidelines benefit : risk profiles comparative effectiveness economic analyses including cost-of-illness Data-driven research methodologies, including the capture, curation, search, sharing, analysis and interpretation of ‘big data’ Techniques and approaches to optimise real-world modelling.
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