Real-world experience of lenvatinib-based therapy in patients with advanced hepatocellular carcinoma.

IF 2 4区 医学 Q3 GASTROENTEROLOGY & HEPATOLOGY Journal of gastrointestinal oncology Pub Date : 2024-10-31 Epub Date: 2024-09-24 DOI:10.21037/jgo-24-351
Hung-Wei Wang, Hsueh-Chou Lai, Wen-Pang Su, Jung-Ta Kao, Wei-Fan Hsu, Hung-Yao Chen, Che-Wei Chang, Guan-Tarn Huang, Cheng-Yuan Peng
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Abstract

Background: Given the significant advancements in the management of hepatocellular carcinoma (HCC) and the emergence of novel treatment approaches, establishing reliable predictors has become crucial for optimizing patient selection and therapeutic sequencing in HCC. In this study, we aimed to investigate the prognostic factors and treatment efficacy associated with lenvatinib-based therapy.

Methods: We retrospectively enrolled 53 patients receiving lenvatinib monotherapy, and 19 patients receiving lenvatinib plus immune checkpoint inhibitor combination therapy as their first-line systemic treatment for unresectable HCC at a single medical center. We employed univariate and multivariate Cox regression analyses to ascertain the factors influencing survival in these cohorts.

Results: For lenvatinib monotherapy and the combination therapy, the objective response rates were 30.2% and 63.2%, respectively (P=0.03); the median progression-free survival (PFS) durations were 7 months [95% confidence interval (CI): 4.5-9.5] and 12 months (95% CI: 6.4-17.6), respectively (P=0.74); and the median overall survival (OS) was not reached in either group (P=0.93). Although patients receiving the combination therapy had a greater treatment response, no significant survival differences were observed between the lenvatinib monotherapy and combination therapy subgroups, even after inverse probability of treatment weighting (IPTW). Patients who received lenvatinib monotherapy could be stratified based on a combination of albumin-bilirubin (ALBI) grade (either grade 1 or 2a) and a neutrophil-lymphocyte ratio (NLR) of ≤5.8. Compared to the other subgroups combined, those who met both of these criteria exhibited PFS with a hazard ratio (HR) of 0.382 (95% CI: 0.168-0.871; P=0.02), corresponding to 11 and 5 months, respectively; and an OS (HR: 0.198, 95% CI: 0.043-0.920; P=0.04) of not reached versus 12 months, respectively, according to multivariate Cox regression analysis.

Conclusions: In our study cohort, there were no statistically significant differences observed in the survival rates between patients treated with lenvatinib monotherapy and those treated with a combination of lenvatinib and immunotherapy. The incorporation of ALBI grade and NLR facilitates the stratification of survival outcomes in patients with unresectable HCC undergoing lenvatinib monotherapy.

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基于来伐替尼疗法治疗晚期肝细胞癌患者的真实世界经验。
背景:鉴于肝细胞癌(HCC)治疗的重大进展和新型治疗方法的出现,建立可靠的预测指标已成为优化HCC患者选择和治疗排序的关键。在这项研究中,我们旨在研究与来伐替尼治疗相关的预后因素和疗效:我们在一家医疗中心回顾性纳入了53例接受来伐替尼单药治疗的患者和19例接受来伐替尼+免疫检查点抑制剂联合治疗的患者,作为不可切除HCC的一线系统治疗。我们采用单变量和多变量考克斯回归分析来确定影响这些队列生存率的因素:来伐替尼单药治疗和联合治疗的客观反应率分别为30.2%和63.2%(P=0.03);中位无进展生存期(PFS)分别为7个月[95%置信区间(CI):4.5-9.5]和12个月(95% CI:6.4-17.6)(P=0.74);两组患者均未达到中位总生存期(OS)(P=0.93)。虽然接受联合疗法的患者有更大的治疗反应,但在来伐替尼单药治疗亚组和联合疗法亚组之间没有观察到明显的生存期差异,即使在逆治疗概率加权(IPTW)后也是如此。接受来伐替尼单药治疗的患者可根据白蛋白胆红素(ALBI)分级(1级或2a级)和中性粒细胞-淋巴细胞比值(NLR)≤5.8进行分层。根据多变量考克斯回归分析,与其他亚组相比,符合这两个标准的患者的PFS危险比(HR)为0.382(95% CI:0.168-0.871;P=0.02),分别为11个月和5个月;OS(HR:0.198,95% CI:0.043-0.920;P=0.04)为未达到12个月:在我们的研究队列中,接受来伐替尼单药治疗的患者与接受来伐替尼和免疫疗法联合治疗的患者在生存率上没有明显的统计学差异。纳入ALBI分级和NLR有助于对接受来伐替尼单药治疗的不可切除HCC患者的生存率进行分层。
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来源期刊
CiteScore
3.20
自引率
0.00%
发文量
171
期刊介绍: ournal of Gastrointestinal Oncology (Print ISSN 2078-6891; Online ISSN 2219-679X; J Gastrointest Oncol; JGO), the official journal of Society for Gastrointestinal Oncology (SGO), is an open-access, international peer-reviewed journal. It is published quarterly (Sep. 2010- Dec. 2013), bimonthly (Feb. 2014 -) and openly distributed worldwide. JGO publishes manuscripts that focus on updated and practical information about diagnosis, prevention and clinical investigations of gastrointestinal cancer treatment. Specific areas of interest include, but not limited to, multimodality therapy, markers, imaging and tumor biology.
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