Prognostic value of pan-immune inflammation value in small-cell lung cancer treated with chemoradiotherapy and prophylactic cranial irradiation.

0 MEDICINE, RESEARCH & EXPERIMENTAL
Aybala Nur Ucgul, Huseyin Hazir, Huseyin Bora
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引用次数: 0

Abstract

Determining prognosis is crucial for treatment selection, especially for prophylactic cranial irradiation (PCI), in patients with limited-stage small cell lung cancer (LS-SCLC). This study evaluates the prognostic value of the pan-immune inflammation value (PIV) in patients with LS-SCLC. We included patients who underwent thoracic chemoradiotherapy (TRT) and PCI at our clinic between July 2012 and April 2024. PIV was calculated as (neutrophil count × platelet count × monocyte count) / lymphocyte count. Receiver operating characteristic (ROC) curve analysis was used to determine the optimal pre-treatment PIV cut-off to divide patients into two groups. Survival outcomes between these groups were compared using Kaplan-Meier analysis and log-rank tests. Multivariate analyses were conducted using Cox regression. Fifty-nine patients were included in the study. The optimal PIV cut-off was identified as 911 (AUC: 0.60, Sensitivity: 0.31, Specificity: 0.94, J-index: 0.26). Patients were grouped based on PIV levels: low (<911) and high (≥911). Lower PIV levels were significantly associated with improved overall survival (OS) (39 months vs. 10 months, p < 0.001) and intracranial progression-free survival (ICPFS) (not reached vs. 15 months, p < 0.001). The independent prognostic value of PIV was confirmed in multivariate analyses for both OS (p < 0.001) and ICPFS (p < 0.001). These findings suggest that pre-treatment PIV is an independent prognostic marker in LS-SCLC patients undergoing TRT and PCI.

泛免疫炎症值在放化疗和预防性颅脑照射治疗小细胞肺癌中的预后价值。
确定预后对于有限期小细胞肺癌(LS-SCLC)患者的治疗选择至关重要,特别是预防性颅底照射(PCI)。本研究评估了泛免疫炎症值(PIV)在LS-SCLC患者中的预后价值。我们纳入了2012年7月至2024年4月期间在我们诊所接受胸部放化疗(TRT)和PCI的患者。PIV计算为(中性粒细胞计数×血小板计数×单核细胞计数)/淋巴细胞计数。采用受试者工作特征(ROC)曲线分析确定最佳治疗前PIV截点,将患者分为两组。采用Kaplan-Meier分析和log-rank检验比较两组间的生存结果。采用Cox回归进行多因素分析。59名患者参与了这项研究。最佳PIV临界值为911 (AUC: 0.60,灵敏度:0.31,特异性:0.94,j指数:0.26)。患者根据PIV水平分组:低(
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CiteScore
1.10
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