既往接受过铂类化疗和免疫治疗、无可操作基因组改变的转移性非小细胞肺癌患者的治疗模式和临床疗效。

IF 1.9 Q3 PHARMACOLOGY & PHARMACY Drugs - Real World Outcomes Pub Date : 2024-09-01 Epub Date: 2024-06-19 DOI:10.1007/s40801-024-00440-3
Jerome H Goldschmidt, Wan-Yu Tseng, Yunfei Wang, Janet Espirito, Anupama Vasudevan, Michelle Silver, Jackie Kwong, Ruchit Shah, Elizabeth Marrett
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引用次数: 0

摘要

背景:对于转移性非小细胞肺癌患者来说,及时进行分子检测对于确定适当的治疗方案至关重要。铂类化疗和/或免疫检查点抑制剂(ICI)是无可操作基因组改变患者的初始治疗标准:我们的目的是评估社区肿瘤学环境中转移性非小细胞肺癌患者的治疗模式和临床疗效,这些患者均无可检测的基因组改变,且曾接受过 ICI 和铂类化疗:这项回顾性观察研究检查了2017年至2019年期间初次诊断为转移性非小细胞肺癌且无可操作基因组改变的成年患者的电子健康记录。患者在前一或两个LOT中停止铂类化疗加ICI后,接受了后续治疗线(LOT)[索引]。对患者的人口统计学和临床特征进行了描述性分析。临床结果采用卡普兰-梅耶分析法进行评估:在研究人群(n = 961)中,最常见的指标LOT方案是非铂类化疗(57.3%)、铂类化疗(12.9%)、ICI类化疗(12.7%)、铂+ICI类化疗(9.4%)和其他(7.7%)。最常见的指数后LOT方案为非铂类方案(61.2%)、ICI类方案(15.3%)、铂类方案(10.7%)、铂+ICI类方案(3.2%)和其他方案(2.5%)。以index LOT ICI为基础的治疗方案的中位停止治疗时间、下一次治疗时间和总生存期最长(分别为6.5、9.9和18.9个月),以铂为基础的治疗方案最短(分别为2.8、5.3和8.0个月),以非铂为基础的治疗方案最短(分别为2.6、5.0和7.8个月):结论:在既往接受过铂类+ ICIs治疗且无可操作基因组改变的转移性非小细胞肺癌患者中,非铂类化疗药物在指标LOT中最常见。临床结果(包括终止治疗时间、下一次治疗时间和总生存期)均较短,这凸显了对更有效的后期治疗方法的需求尚未得到满足。
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Treatment Patterns and Clinical Outcomes Among Patients with Metastatic Non-small Cell Lung Cancer Without Actionable Genomic Alterations Previously Treated with Platinum-Based Chemotherapy and Immunotherapy.

Background: For patients with metastatic non-small cell lung cancer, timely molecular testing is essential to determine the appropriate course of therapy. Initial treatment with platinum chemotherapy and/or an immune checkpoint inhibitor (ICI) is the standard of care for patients without actionable genomic alterations.

Objective: We aimed to assess treatment patterns and clinical outcomes among patients with metastatic non-small cell lung cancer, no actionable genomic alterations, and with prior ICI and platinum-based chemotherapy in a community oncology setting.

Methods: This retrospective observational study examined electronic health records from adult patients with an initial metastatic non-small cell lung cancer diagnosis without actionable genomic alterations from 2017 to 2019. Patients had received a subsequent line of therapy (LOT) [index] after discontinuing platinum-based chemotherapy plus an ICI in the previous one or two LOTs. Patient demographics and clinical characteristics were analyzed descriptively. Clinical outcomes were evaluated using Kaplan-Meier analyses.

Results: Among the study population (n = 961), the most common index LOT regimens were non-platinum-based chemotherapies (57.3%), platinum-based chemotherapies (12.9%), ICI-based chemotherapies (12.7%), platinum + ICI-based chemotherapies (9.4%), and other (7.7%). The most common post-index LOT regimens were non-platinum based (61.2%), ICI based (15.3%), platinum based (10.7%), platinum + ICI based (3.2%), and other (2.5%). Median time to treatment discontinuation, time to next treatment, and overall survival were numerically longest with index LOT ICI-based regimens (6.5, 9.9, and 18.9 months, respectively) and shortest with platinum-based regimens (2.8, 5.3, and 8.0 months, respectively) and non-platinum-based regimens (2.6, 5.0, and 7.8 months, respectively).

Conclusions: Among patients with metastatic non-small cell lung cancer without actionable genomic alterations previously treated with platinum + ICIs, non-platinum chemotherapy agents were most commonly prescribed in the index LOT. Clinical outcomes including time to treatment discontinuation, time to next treatment, and overall survival were short, highlighting the unmet need for more effective later-line treatments.

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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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