中性粒细胞-淋巴细胞比率升高对食管癌骨转移的预测作用

IF 2.7 4区 医学 Q3 ONCOLOGY
Xuan Wang, Ying Gao, Junyang Wang, Ling Chen, Xin Zhang, Min Chen, Ning Lan, Wenyang Li, Fang Wu, Juan Ren
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引用次数: 0

摘要

研究目的有关食管癌骨转移的研究相对有限。患者一旦发生骨转移,预后较差,严重影响患者的生活质量。目前,缺乏方便的肿瘤标志物用于早期识别食管癌骨转移。我们的研究旨在探讨中性粒细胞-淋巴细胞比值(NLR)能否预测EC患者的骨转移:方法:对604例EC患者的临床指标进行回顾性分析。方法:对604例EC患者的临床指标进行回顾性分析,以是否发生骨转移为标准进行分组,并收集患者的凝血相关检查、血常规、肿瘤标志物等指标。采用接收者操作特征曲线(ROC)确定NLR等参数对EC骨转移的预测能力,并进行单变量和多变量Logistic回归分析,以确定各指标对骨转移的影响。利用二元逻辑回归得出NLR结合肿瘤标志物的预测概率:ROC曲线分析表明,NLR的曲线下面积(AUC)为0.681,敏感性为79.2%,特异性为52.6%,可作为EC骨转移的预测因素。多变量逻辑回归分析表明,高 NLR(几率比[OR]:2.608,95% 置信区间[CI]:1.395-4.874)可作为骨转移的预测因素:1.395-4.874,P = 0.003)可作为EC患者骨转移的独立危险因素。此外,高PT、高APTT、高FDP、高CEA、高CA724、低血红蛋白和低血小板水平也可预测EC患者的骨转移。当 NLR 与肿瘤标志物相结合时,曲线下面积为 0.760(95% CI:0.713-0.807,P 结论:NLR 与肿瘤标志物的结合可预测骨转移:NLR作为一种方便、无创、经济的炎症指标,可以预测EC的骨转移。将NLR与肿瘤标志物相结合可显著提高EC骨转移的诊断准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictive Role of Elevated Neutrophil-Lymphocyte Ratio for Bone Metastasis in Esophageal Cancer.

Purpose: Research on bone metastasis in esophageal cancer (EC) is relatively limited. Once bone metastasis occurs in patients, their prognosis is poor, and it severely affects their quality of life. Currently, there is a lack of convenient tumor markers for early identification of bone metastasis in EC. Our research aims to explore whether neutrophil-lymphocyte ratio (NLR) can predict bone metastasis in patients with EC.

Methods: Retrospective analysis of clinical indicators was performed on 604 patients with EC. They were divided into groups based on whether or not there was bone metastasis, and the patients' coagulation-related tests, blood routine, tumor markers and other indicators were collected. The receiver operating characteristic curve (ROC) were used to determine the predictive ability of parameters such as NLR for bone metastasis in EC, and univariate and multivariate logistic regression analyses were conducted to determine the impact of each indicator on bone metastasis. Using binary logistic regression to obtain the predictive probability of NLR combined with tumor markers.

Results: ROC curves analysis suggested that the area under the curve (AUC) of the NLR was 0.681, with a sensitivity of 79.2% and a specificity of 52.6%, which can be used as a predictive factor for bone metastasis in EC. Multivariate logistic regression analysis showed that high NLR (odds ratio [OR]: 2.608, 95% confidence interval [CI]: 1.395-4.874, P = 0.003) can function as an independent risk factor for bone metastasis in patients with EC. Additionally, high PT, high APTT, high FDP, high CEA, high CA724, low hemoglobin, and low platelet levels can also predict bone metastasis in EC. When NLR was combined with tumor markers, the area under the curve was 0.760 (95% CI: 0.713-0.807, P < 0.001), significantly enhancing the predictability of bone metastasis in EC.

Conclusion: NLR, as a convenient, non-invasive, and cost-effective inflammatory indicator, could predict bone metastasis in EC. Combining NLR with tumor markers can significantly improve the diagnostic accuracy of bone metastasis in EC.

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来源期刊
CiteScore
4.40
自引率
0.00%
发文量
202
审稿时长
2 months
期刊介绍: Technology in Cancer Research & Treatment (TCRT) is a JCR-ranked, broad-spectrum, open access, peer-reviewed publication whose aim is to provide researchers and clinicians with a platform to share and discuss developments in the prevention, diagnosis, treatment, and monitoring of cancer.
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