Suppr超能文献

比较血小板相关指标在接受手术切除的胆道癌患者中的预后价值。

Comparison of the Prognostic Value of Platelet-Related Indices in Biliary Tract Cancer Undergoing Surgical Resection.

机构信息

Department of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences, Beijing, China.

Peking Union Medical College (PUMC), PUMC & Chinese Academy of Medical Sciences, Beijing, China.

出版信息

Cancer Res Treat. 2021 Apr;53(2):528-540. doi: 10.4143/crt.2020.833. Epub 2020 Nov 23.

Abstract

PURPOSE

Platelet-related indices, including mean platelet volume (MPV) and plateletocrit (PCT), have been reported as new prognostic factors of overall survival (OS) in many cancers, but not yet in biliary tract cancer (BTC). We intended to assess these indices in predicting OS in BTC patients with the aim to build a new prognostic model for patients with BTC after surgical resection.

MATERIALS AND METHODS

Survival analysis and time receiver operating characteristic analysis were applied to screen the platelet indices. Univariate and multivariate Cox analyses were used to identify independent prognostic factors and develop a new prognostic model. Harrell's C-statistics, calibration curves, and decisive curve analysis were used to assess the model.

RESULTS

MPV and platelet distribution width (PDW)/PCT showed the best prognostic accuracy among the platelet indices. In multivariable analysis, factors predictive of poor OS were presence of nodal involvement, Non-radical surgery, poor tumor differentiation, carbohydrate antigen 19-9 > 100 U/mL, MPV > 8.1 fl, and PDW/PCT > 190. The new model was found to be superior to the TNM staging system and our new staging system showed higher discriminative power.

CONCLUSION

MPV and PDW/PCT have high prognostic value in BTC patients, and the novel staging system based on these two indices showed good discrimination and accuracy compared with the American Joint Committee on Cancer 7th TNM staging system.

摘要

目的

血小板相关指标,包括平均血小板体积(MPV)和血小板压积(PCT),已在许多癌症中被报道为总生存(OS)的新预后因素,但尚未在胆道癌(BTC)中报道。我们旨在评估这些指标在预测 BTC 患者 OS 中的作用,旨在为接受手术切除的 BTC 患者建立新的预后模型。

材料和方法

采用生存分析和时间接受者操作特征分析筛选血小板指数。单因素和多因素 Cox 分析用于确定独立的预后因素并开发新的预后模型。Harrell 的 C 统计量、校准曲线和决策曲线分析用于评估模型。

结果

MPV 和血小板分布宽度(PDW)/PCT 在血小板指数中显示出最佳的预后准确性。在多变量分析中,预测 OS 不良的因素包括存在淋巴结受累、非根治性手术、肿瘤分化差、碳水化合物抗原 19-9 > 100 U/mL、MPV > 8.1 fl 和 PDW/PCT > 190。新模型优于 TNM 分期系统,我们的新分期系统显示出更高的判别能力。

结论

MPV 和 PDW/PCT 在 BTC 患者中具有较高的预后价值,基于这两个指标的新分期系统与美国癌症联合委员会第 7 版 TNM 分期系统相比,具有良好的判别力和准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a846/8053856/0f62bded1364/crt-2020-833f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验