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[接受颈清扫术的舌鳞状细胞癌患者生存预后列线图的建立与验证]

[Establishment and verification of a prognostic nomogram for survival of tongue squamous cell carcinoma patients who underwent cervical dissection].

作者信息

Su Junqi, Wang Xiaoying, Sun Zhiqiang

机构信息

Department of Clinical Laboratory, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing 100081, China.

Department of Medical Record, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing 100081, China.

出版信息

Beijing Da Xue Xue Bao Yi Xue Ban. 2024 Feb 18;56(1):120-130. doi: 10.19723/j.issn.1671-167X.2024.01.019.

Abstract

OBJECTIVE

To evaluate the prognostic significance of inflammatory biomarkers, prognostic nutritional index and clinicopathological characteristics in tongue squamous cell carcinoma (TSCC) patients who underwent cervical dissection.

METHODS

The retrospective cohort study consisted of 297 patients undergoing tumor resection for TSCC between January 2017 and July 2018. The study population was divided into the training set and validation set by 7 :3 randomly. The peripheral blood indices of interest were preoperative neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), systemic inflammation score (SIS) and prognostic nutritional index (PNI). Kaplan-Meier survival analysis and multivariable Cox regression analysis were used to evaluate independent prognostic factors for overall survival (OS) and disease-specific survival (DSS). The nomogram's accuracy was internally validated using concordance index, receiver operating characteristic (ROC) curve, area under the curve (AUC), calibration plot and decision curve analysis.

RESULTS

According to the univariate Cox regression analysis, clinical TNM stage, clinical T category, clinical N category, differentiation grade, depth of invasion (DOI), tumor size and pre-treatment PNI were the prognostic factors of TSCC. Multivariate Cox regression analysis revealed that pre-treatment PNI, clinical N category, DOI and tumor size were independent prognostic factors for OS or DSS ( < 0.05). Positive neck nodal status (N≥1), PNI≤50.65 and DOI > 2.4 cm were associated with the poorer 5-year OS, while a positive neck nodal status (N≥1), PNI≤50.65 and tumor size > 3.4 cm were associated with poorer 5-year DSS. The concordance index of the nomograms based on independent prognostic factors was 0.708 (95%, 0.625-0.791) for OS and 0.717 (95%, 0.600-0.834) for DSS. The C-indexes for external validation of OS and DSS were 0.659 (95%, 0.550-0.767) and 0.780 (95%, 0.669-0.890), respectively. The 1-, 3- and 5-year time-dependent ROC analyses (AUC = 0.66, 0.71 and 0.72, and AUC = 0.68, 0.77 and 0.79, respectively) of the nomogram for the OS and DSS pronounced robust discriminative ability of the model. The calibration curves showed good agreement between the predicted and actual observations of OS and DSS, while the decision curve confirmed its pronounced application value.

CONCLUSION

Pre-treatment PNI, clinical N category, DOI and tumor size can potentially be used to predict OS and DSS of patients with TSCC. The prognostic nomogram based on these variables exhibited good accurary in predicting OS and DSS in patients with TSCC who underwent cervical dissection. They are effective tools for predicting survival and helps to choose appropriate treatment strategies to improve the prognosis.

摘要

目的

评估炎症生物标志物、预后营养指数及临床病理特征对接受颈清扫术的舌鳞状细胞癌(TSCC)患者的预后意义。

方法

这项回顾性队列研究纳入了2017年1月至2018年7月间因TSCC接受肿瘤切除术的297例患者。研究人群按7:3随机分为训练集和验证集。感兴趣的外周血指标包括术前中性粒细胞与淋巴细胞比值(NLR)、淋巴细胞与单核细胞比值(LMR)、血小板与淋巴细胞比值(PLR)、全身免疫炎症指数(SII)、全身炎症评分(SIS)和预后营养指数(PNI)。采用Kaplan-Meier生存分析和多变量Cox回归分析评估总生存(OS)和疾病特异性生存(DSS)的独立预后因素。使用一致性指数、受试者操作特征(ROC)曲线、曲线下面积(AUC)、校准图和决策曲线分析对列线图的准确性进行内部验证。

结果

单变量Cox回归分析显示,临床TNM分期、临床T分类、临床N分类、分化程度、浸润深度(DOI)、肿瘤大小和治疗前PNI是TSCC的预后因素。多变量Cox回归分析显示,治疗前PNI、临床N分类、DOI和肿瘤大小是OS或DSS的独立预后因素(P<0.05)。颈部淋巴结阳性状态(N≥1)、PNI≤50.65和DOI>2.4 cm与较差的5年OS相关,而颈部淋巴结阳性状态(N≥1)、PNI≤50.65和肿瘤大小>3.4 cm与较差的5年DSS相关。基于独立预后因素的列线图的一致性指数,OS为0.708(95%,0.625 - 0.791),DSS为0.717(95%,0.600 - 0.834)。OS和DSS外部验证的C指数分别为0.659(95%,0.550 - 0.767)和0.780(95%,0.669 - 0.890)。OS和DSS列线图的1年、3年和5年时间依赖性ROC分析(AUC分别为0.66、0.71和0.72,以及AUC分别为0.68、0.77和0.79)表明该模型具有较强的判别能力。校准曲线显示OS和DSS的预测值与实际观察值之间具有良好的一致性,而决策曲线证实了其显著的应用价值。

结论

治疗前PNI、临床N分类、DOI和肿瘤大小可用于预测TSCC患者的OS和DSS。基于这些变量的预后列线图在预测接受颈清扫术的TSCC患者的OS和DSS方面表现出良好的准确性。它们是预测生存的有效工具,有助于选择合适的治疗策略以改善预后。

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