肺免疫预后指数作为晚期小细胞肺癌患者的预后预测指标

Y. Söyler, Pınar Akın Kabalak, Suna Kavurgacı, Merve Ayyürek, Ayperi Öztürk, Ülkü Yılmaz
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引用次数: 0

摘要

目的:确定晚期小细胞肺癌(A-SCLC)患者的预后标志物非常重要。因此,我们的研究旨在评估预处理肺免疫预后指数(LIPI)在A-SCLC中的预后价值。方法:这是一项以铂+依托泊苷化疗为一线治疗的a - sclc患者的回顾性观察性研究。分析LIPI与无进展生存期(PFS)和总生存期(OS)的关系。结果:本研究纳入118例患者,分为LIPI 0 (n=27, 22.9%)、LIPI 1 (n=57, 48.3%)和LIPI 2 (n=34, 28.8%) 3组。LIPI组(0/1/2)的中位PFS分别为8.9 (95% CI 3.83 ~ 13.96)、8 (95% CI 6.41 ~ 9.58)和5.6 (95% CI 4.60 ~ 6.60)个月(p=0.1)。LIPI组(0/1/2)的中位OS分别为12 (95% CI 9.11 ~ 14.88)、10.1 (95% CI 9.16 ~ 11.03)和7.7 (95% CI 6.55 ~ 8.84)个月(p=0.02)。Cox回归分析显示,LIPI 2评分是PFS (HR 1.839, 95% CI: 1.075 ~ 3.144, p=0.02)和OS (HR 1.757, 95% CI: 1.006 ~ 3.071, p=0.04)的独立危险因素。结论:LIPI评分可作为预测a - sclc患者预后的一种简便易行的指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lung immune prognostic index as a prognostic predictor in patients with advanced small cell lung cancer
Aims: Identifying prognostic markers in advanced small-cell lung cancer (A-SCLC) patients is important. Therefore, our study aimed to evaluate the prognostic value of pretreatment lung immune prognostic index (LIPI) in A-SCLC. Methods: This was a retrospective and observational study of A-SCLC patients treated with platinum plus etoposide chemotherapy as first-line treatment. The association of LIPI with progression-free survival (PFS) and overall survival (OS) was analysed. Results: One hundred eighteen patients were included in this study and divided into three groups LIPI 0 (n=27, 22.9%), LIPI 1 (n=57, 48.3%) and LIPI 2 (n=34, 28.8%). The median PFS of LIPI groups (0/1/2) was 8.9 (95% CI 3.83-13.96), 8 (95% CI 6.41-9.58), and 5.6 (95% CI 4.60-6.60) months, respectively (p=0.1) The median OS of LIPI groups (0/1/2) was 12 (95% CI 9.11-14.88), 10.1 (95% CI 9.16-11.03), and 7.7 (95% CI 6.55-8.84) months, respectively (p=0.02). Cox regression analysis revealed that LIPI 2 score was an independent risk factor for both PFS (HR 1.839, 95% CI: 1.075-3.144, p=0.02) and OS (HR 1.757, 95% CI: 1.006-3.071, p=0.04). Conclusion: LIPI score can be used as a simple and easily accessible marker to predict prognosis for A-SCLC patients.
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