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Predictive value of inflammatory indexes on the chemotherapeutic response in patients with unresectable lung cancer: A retrospective study

机译:炎症指标对不可切除肺癌患者化疗反应的预测价值:一项回顾性研究

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摘要

Chemotherapy is widely administered to patients with advanced lung cancer; however, data regarding chemotherapeutic sensitivity are limited. The present study aimed to investigate the predictive value of inflammatory indexes for chemotherapeutic efficacy in advanced lung cancer. Patients with stage III and IV unresectable lung cancer that were treated with first-line chemotherapy between January 2007 and December 2011 were retrospectively identified, and chemotherapeutic response was evaluated following 2 or 3 chemotherapy cycles. Prior to chemotherapy, hematologic data and clinicopathological parameters were collected using electronic medical records. The associations between the main inflammatory indexes [which included the pretreatment neutrophil count (PNC), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR)] and the chemotherapeutic efficacy, as well as the prognostic value of the indexes, were analyzed. According to the receiver operating characteristic curve, PLR failed to reach diagnostic accuracy for overall chemotherapeutic response. PNC and NLR were each classified into two groups according to the cut-off values (4.635×109/l for PNC and 2.443 ×109/l for NLR). The overall response rate was significantly higher in the low PNC [odds ratio, 3.261; 95% confidence interval (CI), 2.102–5.060; P<0.001, vs. high PNC] and low NLR groups (odds ratio, 1.596; 95% CI, 1.037–2.454; P=0.033, vs. high NLR). Univariate analyses showed that the high PNC (HR, 1.487) and high NLR groups (HR, 1.288) were associated with poor progression-free survival (PFS); however, NLR was considered statistically insignificant in multivariate analysis. In summary, high PNC and NLR values are associated with chemoresistance and an unfavorable prognosis, with the present study demonstrating that PNC has increased sensitivity when compared with other inflammatory indexes in predicting chemotherapeutic efficacy. Therefore, PNC has the potential to be used as a reliable and suitable predictor to stratify a high risk of chemoresistance in patients with stage III and IV unresectable lung cancer.
机译:化学疗法被广泛应用于晚期肺癌患者。然而,关于化学疗法敏感性的数据是有限的。本研究旨在探讨炎症指标对晚期肺癌化疗疗效的预测价值。回顾性鉴定2007年1月至2011年12月间接受一线化疗的III期和IV期不可切除肺癌患者,并在2或3个化疗周期后评估化疗反应。化疗之前,使用电子病历收集血液学数据和临床病理参数。主要炎症指标[包括治疗前中性粒细胞计数(PNC),中性粒细胞-淋巴细胞比(NLR),血小板-淋巴细胞比(PLR)]之间的相关性与化学治疗功效以及这些指标的预后价值之间的相关性分析。根据接收器的工作特性曲线,PLR无法达到整体化疗反应的诊断准确性。根据临界值,PNC和NLR分别分为两组(PNC为4.635×10 9 / l,NLR为2.443×10 9 / l)。在低PNC中,总响应率显着更高[比值比为3.261; 95%置信区间(CI)为2.102–5.060; P <0.001,与高PNC相比)和低NLR组(赔率,1.596; 95%CI,1.037–2.454; P = 0.033,与高NLR)。单因素分析显示,较高的PNC组(HR,1.487)和较高的NLR组(HR,1.288)与不良的无进展生存期(PFS)相关。但是,在多变量分析中,NLR被认为在统计学上无意义。综上所述,高PNC和NLR值与化学耐药性和不良预后相关,本研究表明,与其他炎症指标相比,PNC在预测化学疗法疗效时具有更高的敏感性。因此,PNC可能被用作可靠且合适的预测因子,用于对III和IV期不可切除的肺癌患者进行高耐药性分层。

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