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The prognostic value of preoperative NLR, d-NLR, PLR and LMR for predicting clinical outcome in surgical colorectal cancer patients

机译:术前NLR,d-NLR,PLR和LMR对预测结直肠癌患者临床结局的预后价值

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Accumulating evidences indicate cancer-triggered inflammation plays a pivotal role in carcinogenesis. Systematic inflammatory response biomarkers are considered as potential prognostic factors for improving predictive accuracy in colorectal cancer (CRC). Preoperative neutrophil-to-lymphocyte ratio (NLR), derived neutrophilto-lymphocyte ratio (d-NLR), platelet-to-lymphocyte ratio (PLR) and lymphocyte-to-monocyte ratio (LMR) were investigated and compared in 205 surgical CRC patients. ROC curve was applied to determine thresholds for four biomarkers, and their prognostic values were assessed using Kaplan-Meier curve, univariate and multivariate COX regression models. Moreover, a number of risk factors were used to form nomograms for evaluating risk of survival, and Harrell's concordance index (c-index) was used to evaluate predictive accuracy. Results showed that elevated NLR was significantly associated with diminished recurrent-free survival (RFS), overall survival (OS) and cancer-specific survival (CSS) in surgical CRC patients. Moreover, multivariate COX analysis identified elevated NLR as an independent factor for poor RFS (P < 0.001, HR 2.52, 95 % CI 1.65-3.83), OS (P < 0.001, HR 2.73, 95 % CI 1.74-4.29) and CSS (P < 0.001, HR 2.77, 95 % CI 1.72-4.46). Additionally, predictive nomograms including NLR for RFS, OS and CSS could be more effective in predicting RFS (c-index: 0.810 vs. 0.656), OS (c-index: 0.809 vs. 0.690) and CSS (c-index: 0.802 vs. 0.688) in surgical CRC patients, respectively. These findings indicate that preoperative elevated NLR can be considered as an independent prognostic biomarker for RFS, OS and CSS. Nomograms containing NLR provide improved accuracy for predicting clinical outcomes in surgical CRC patients under surgery resection.
机译:越来越多的证据表明,癌症引发的炎症在致癌过程中起着关键作用。系统性炎症反应生物标志物被认为是提高大肠癌(CRC)预测准确性的潜在预后因素。对205例外科CRC患者的术前嗜中性白细胞与淋巴细胞之比(NLR),衍生的嗜中性白细胞与淋巴细胞之比(d-NLR),血小板与淋巴细胞之比(PLR)以及淋巴细胞与单核细胞之比(LMR)进行了比较。 。应用ROC曲线确定四种生物标志物的阈值,并使用Kaplan-Meier曲线,单变量和多变量COX回归模型评估其预后价值。此外,许多风险因素用于形成诺模图以评估生存风险,而Harrell一致性指数(c-index)用于评估预测准确性。结果表明,外科手术CRC患者的NLR升高与无复发生存率(RFS),总生存率(OS)和癌症特异性生存率(CSS)降低显着相关。此外,多变量COX分析确定NLR升高是RFS不良(P <0.001,HR 2.52,95%CI 1.65-3.83),OS(P <0.001,HR 2.73,95%CI 1.74-4.29)和CSS( P <0.001,HR 2.77,95%CI 1.72-4.46)。此外,包括RFS,OS和CSS的NLR在内的预测列线图可以更有效地预测RFS(c指数:0.810 vs. 0.656),OS(c指数:0.809 vs. 0.690)和CSS(c指数:0.802vs。 0.688)分别在外科CRC患者中。这些发现表明,术前NLR升高可被视为RFS,OS和CSS的独立预后生物标志物。包含NLR的线型图可提高预测手术切除后CRC患者的临床结局的准确性。

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