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拓扑替康在真实世界小细胞肺癌队列中的应用:预后生物标志物改善二线治疗患者的选择

Topotecan in a Real-World Small-Cell Lung Cancer Cohort: Prognostic Biomarkers Improve Selection of Patients for Second-Line Treatment.

作者信息

Lambrecht Laura, Arnold Paola, Behr Jürgen, Mertsch Pontus, Tufman Amanda, Kauffmann-Guerrero Diego

机构信息

Department of Medicine V, University Hospital, LMU Munich, 81337 Munich, Germany.

Comprehensive Pneumology Center (CPC), Member of the German Center for Lung Research (DZL), University of Munich (LMU), 81337 Munich, Germany.

出版信息

Diagnostics (Basel). 2024 Jul 19;14(14):1572. doi: 10.3390/diagnostics14141572.

Abstract

BACKGROUND

Small-cell lung cancer (SCLC) is a highly aggressive tumor, and overall survival (OS) remains poor despite intensive efforts to develop new treatment strategies. In second line, topotecan is the only approved drug, with a median OS of 5.9 months. However, real-world SCLC patients are often in worse condition and harbor more comorbidities than study populations. Therefore, the real-world performance of topotecan may differ from that seen in studies. Here, we analyzed outcomes of SCLC patients receiving topotecan and identified predictive and prognostic markers.

PATIENTS AND METHODS

We retrospectively analyzed 44 consecutive SCLC patients receiving topotecan between 2015 and 2022. We analyzed baseline characteristics (age, ECOG-PS, topotecan cycles, and dosage) and pre-treatment blood values (LDH, CRP, sodium) as well as prognostic scores (neutrophil/lymphocyte ratio (NLR), thrombocyte/lymphocyte ratio (TLR), Glasgow Prognostic Score, prognostic nutritional score, systemic inflammation index (SII), and the prognostic index) extracted from electronic patients' charts to identify predictive and prognostic markers.

RESULTS

In our cohort, mPFS and mOS were only 1.9 and 5.6 months, respectively. Gender, ECOG-PS, active brain metastases, NLR, GPS, PNI, and SII significantly influenced PFS and OS in univariate analysis. ECOG-PS ( > 0.001), active brain metastases ( = 0.001), and SII ( = 0.008) were significant independent prognostic variables in a multivariate COX regression model. Selecting patients by these three markers achieved an mPFS of 5.7 months and thus increased the mPFS three-fold. Patients not meeting all criteria had an mPFS of 1.8 months ( = 0.006). Patients identified by prognostic markers had an mOS of 9.1 months ( = 0.002).

CONCLUSIONS

The efficacy of topotecan in SCLC real-world patients is poor, indicating that many patients were treated without any benefit. Easy-to-obtain markers can predict response and treatment efficacy and should therefore be validated in larger cohorts to identify patients who are more likely to benefit from topotecan.

摘要

背景

小细胞肺癌(SCLC)是一种侵袭性很强的肿瘤,尽管人们为开发新的治疗策略付出了巨大努力,但总体生存率(OS)仍然很低。在二线治疗中,拓扑替康是唯一获批的药物,中位OS为5.9个月。然而,现实世界中的SCLC患者往往病情更严重,合并症也比研究人群更多。因此,拓扑替康在现实世界中的表现可能与研究中观察到的不同。在此,我们分析了接受拓扑替康治疗的SCLC患者的预后情况,并确定了预测性和预后性标志物。

患者与方法

我们回顾性分析了2015年至2022年间连续接受拓扑替康治疗的44例SCLC患者。我们分析了基线特征(年龄、东部肿瘤协作组体能状态评分(ECOG-PS)、拓扑替康疗程和剂量)、治疗前血液指标(乳酸脱氢酶(LDH)、C反应蛋白(CRP)、钠)以及从电子病历中提取的预后评分(中性粒细胞/淋巴细胞比值(NLR)、血小板/淋巴细胞比值(TLR)、格拉斯哥预后评分、预后营养评分、全身炎症指数(SII)和预后指数),以确定预测性和预后性标志物。

结果

在我们的队列中,中位无进展生存期(mPFS)和中位总生存期(mOS)分别仅为1.9个月和5.6个月。在单因素分析中,性别、ECOG-PS、有症状的脑转移、NLR、格拉斯哥预后评分(GPS)、预后营养指数(PNI)和SII对PFS和OS有显著影响。在多因素COX回归模型中,ECOG-PS(>0.001)、有症状的脑转移(=0.001)和SII(=0.008)是显著的独立预后变量。通过这三个标志物选择患者,mPFS达到5.7个月,从而使mPFS提高了两倍。不符合所有标准的患者mPFS为1.8个月(=0.006)。通过预后标志物识别出的患者mOS为9.1个月(=0.002)。

结论

拓扑替康在现实世界中的SCLC患者中的疗效较差,这表明许多患者接受了无任何益处的治疗。易于获得的标志物可以预测反应和治疗效果,因此应该在更大的队列中进行验证,以识别更有可能从拓扑替康治疗中获益的患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0931/11276225/0acb2c27bca7/diagnostics-14-01572-g001.jpg

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