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临床分期分层的宫颈癌患者总生存中预处理全身炎症反应生物标志物的效用。

The utility of pretreatment systemic inflammatory response biomarkers on overall survival of cervical cancer patients stratified by clinical staging.

机构信息

Brazilian National Cancer Institute (INCA), Rio de Janeiro, Brazil; Federal University of Rio de Janeiro State (UNIRIO), Rio de Janeiro, Brazil.

Brazilian National Cancer Institute (INCA), Rio de Janeiro, Brazil.

出版信息

Eur J Obstet Gynecol Reprod Biol. 2021 Sep;264:281-288. doi: 10.1016/j.ejogrb.2021.07.034. Epub 2021 Jul 27.

Abstract

OBJECTIVE

Inflammation plays a crucial role in the initiation and progression of many cancers. This study aimed to investigate the utility of pretreatmentneutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), derived neutrophil-lymphocyte ratio (dNLR), and a combination of PLR and NLR in predicting the risk of death according to clinical staging in cervical cancer (CC) patients.

METHODS

A cohort study of women with CC, diagnosed and treated at a single cancer referral center in Brazil, from 2006 to 2009. A multivariate Cox regression analysis and ROC curve analysis accessed the predictive value of inflammatory response biomarkers in overall survival (OS). The median values of the biomarkers were used as cut-off points.

RESULTS

A total of 1,266 patients were included in the study, 76.0% with locally advanced disease. After adjusting for clinical variables, NLR > 2.57, PLR ≥ 146.70, dNLR ≥ 1.778 and PLR + NLR in combination had equivalent performance in predicting worse OS, but only among patients with locally advanced disease (adjusted Hazard Ratio [aHR] = 1.453, 95% Confidence Interval [CI] = 1.227-1.722; p < 0.001; aHR = 1.429; 95% CI = 1.209-1.688; p < 0.001; aHR = 1.486, 95% CI = 1.257-1.756, p < 0.001, aHR = 1.731; 95% CI = 1.411-2.123; p < 0.001, respectively).

CONCLUSION

In conclusion, PLR, NLR, dNLR and PLR + NLR in combination presented equivalent performance in predicting OS in locally advanced CC patients. They are simple and readily available from routine blood tests, not entailing additional costs. PLR, NLR, dNLR and PLR + NLR in combination are strong prognostic biomarkers candidates in locally advanced CC and should be further explored in prospective trials.

摘要

目的

炎症在许多癌症的发生和发展中起着关键作用。本研究旨在探讨治疗前中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)、衍生中性粒细胞与淋巴细胞比值(dNLR)以及 PLR 和 NLR 联合在预测巴西某单一癌症转诊中心 2006 年至 2009 年间确诊和治疗的宫颈癌(CC)患者临床分期死亡风险中的作用。

方法

对在巴西某单一癌症转诊中心接受治疗的宫颈癌患者进行了一项队列研究。采用多变量 Cox 回归分析和 ROC 曲线分析评估炎症反应生物标志物对总生存(OS)的预测价值。以生物标志物的中位数为截断值。

结果

共纳入 1266 例患者,76.0%为局部晚期疾病。在校正临床变量后,NLR>2.57、PLR≥146.70、dNLR≥1.778 和 PLR+NLR 联合具有同等预测较差 OS 的能力,但仅在局部晚期疾病患者中(调整后的 Hazard Ratio[aHR]为 1.453,95%置信区间[CI]为 1.227-1.722;p<0.001;aHR 为 1.429,95%CI 为 1.209-1.688;p<0.001;aHR 为 1.486,95%CI 为 1.257-1.756,p<0.001,aHR 为 1.731,95%CI 为 1.411-2.123;p<0.001)。

结论

总之,PLR、NLR、dNLR 和 PLR+NLR 联合在预测局部晚期 CC 患者 OS 方面具有同等作用。这些指标均来自常规血液检查,简单且易于获得,不会增加额外的成本。PLR、NLR、dNLR 和 PLR+NLR 联合是局部晚期 CC 的强有力的预后生物标志物候选指标,应在前瞻性试验中进一步探索。

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