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高敏改良格拉斯哥预后评分(HS-mGPS)是小胆管型肝内胆管癌的一种预后生物标志物——一项回顾性队列研究。

High-sensitivity modified Glasgow prognostic score (HS-mGPS) is a prognostic biomarker for small duct-type intrahepatic cholangiocarcinoma-a retrospective cohort study.

作者信息

He Xintao, Liang Zixin, Zhang Shuo, Ding Youxiang, Qian Xiaoping, Wu Hongyan, Chen Jun

机构信息

Department of Pathology, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China.

Department of Biobank, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China.

出版信息

Transl Cancer Res. 2025 Feb 28;14(2):1297-1310. doi: 10.21037/tcr-24-917. Epub 2025 Feb 24.

Abstract

BACKGROUND

Serum biomarkers are often used as part of preoperative prediction strategies to help assess a patient's surgical risk and prognosis. The high-sensitivity modified Glasgow prognostic score (HS-mGPS) has been shown to offer better predictive accuracy compared to the traditional Glasgow prognostic score (GPS) and the modified Glasgow prognostic score (mGPS) in various cancers, but its ability to predict outcomes in patients with resected intrahepatic cholangiocarcinoma (ICC) has not been well-studied. The aim of the study was to investigate the prognostic value of HS-mGPS in ICC and its subtypes.

METHODS

This study was a single-center retrospective study. All patients who were pathologically diagnosed with ICC after surgery in Nanjing Drum Tower Hospital from 2012 and 2022. Relevant laboratory data such as serum C-reactive protein (CRP), albumin (ALB), neutrophils, lymphocytes, and platelets were included. Overall survival (OS) information was collected, serum CRP and ALB level were used for scoring GPS, mGPS and HS-mGPS. Univariate and multivariate analyses were conducted to identify factors influencing prognosis by using Kaplan-Meier (KM) curve and Cox proportional hazards models. Additionally, through histological analysis, ICC was classified into large duct type (LD-type) and small duct type (SD-type), and the performance of the three scoring systems in these subtypes was examined.

RESULTS

A total of 185 patients were included in this study, 57 cases were of the LD-type, and 128 cases were of the SD-type. Tumor subtypes was a significant factor influencing prognosis for all ICC patients [hazard ratio (HR) =1.76, 95% confidence interval (CI): 1.036-2.994, P=0.04]. HS-mGPS demonstrated a better ability to predict outcomes compared to GPS and mGPS, and was an independent prognostic factor of OS (HR =2.1, 95% CI: 1.001-4.374, P=0.049). HS-mGPS was also more effective in predicting prognosis for SD-type ICC compared to GPS and mGPS (HR =3.13, 95% CI: 1.018-9.604, P=0.046), while it was ineffective for LD-type ICC. Further analysis revealed that SD-type ICC with higher HS-mGPS scores typically had larger tumors and poorer differentiation, while LD-type ICC showed no significant differences.

CONCLUSIONS

HS-mGPS provides a more accurate prognostic indication for SD-type, but its effectiveness for LD-type requires further investigation with larger sample sizes. Therefore, for preoperatively biopsy-diagnosed SD-type ICC, the HS-mGPS has a certain level of prognostic predictive potential.

摘要

背景

血清生物标志物常用于术前预测策略,以帮助评估患者的手术风险和预后。与传统格拉斯哥预后评分(GPS)和改良格拉斯哥预后评分(mGPS)相比,高敏改良格拉斯哥预后评分(HS-mGPS)在多种癌症中显示出更好的预测准确性,但其在肝内胆管癌(ICC)切除患者中预测预后的能力尚未得到充分研究。本研究的目的是探讨HS-mGPS在ICC及其亚型中的预后价值。

方法

本研究为单中心回顾性研究。纳入2012年至2022年在南京鼓楼医院术后病理诊断为ICC的所有患者。纳入血清C反应蛋白(CRP)、白蛋白(ALB)、中性粒细胞、淋巴细胞和血小板等相关实验室数据。收集总生存期(OS)信息,采用血清CRP和ALB水平进行GPS、mGPS和HS-mGPS评分。采用Kaplan-Meier(KM)曲线和Cox比例风险模型进行单因素和多因素分析,以确定影响预后的因素。此外,通过组织学分析,将ICC分为大胆管型(LD型)和小胆管型(SD型),并检验三种评分系统在这些亚型中的表现。

结果

本研究共纳入185例患者,其中LD型57例,SD型128例。肿瘤亚型是所有ICC患者预后的重要影响因素[风险比(HR)=1.76,95%置信区间(CI):1.036-2.994,P=0.04]。与GPS和mGPS相比,HS-mGPS显示出更好的预后预测能力,是OS的独立预后因素(HR =2.1,95% CI:1.001-4.374,P=0.049)。与GPS和mGPS相比,HS-mGPS在预测SD型ICC预后方面也更有效(HR =3.13,95% CI:1.018-9.604,P=0.046),而对LD型ICC无效。进一步分析显示,HS-mGPS评分较高的SD型ICC通常肿瘤较大且分化较差,而LD型ICC无显著差异。

结论

HS-mGPS为SD型提供了更准确的预后指标,但其对LD型的有效性需要更大样本量的进一步研究。因此,对于术前活检诊断为SD型的ICC,HS-mGPS具有一定的预后预测潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cef1/11912074/a50f48e40f48/tcr-14-02-1297-f1.jpg

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