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利用基于术前血清C反应蛋白的列线图预测肝细胞癌微血管侵犯

Prediction of microvascular invasion in hepatocellular carcinoma using a preoperative serum C-reactive protein-based nomogram.

作者信息

Yang Chaohao, Liang Zhiwei, Zhao Longshuan, Li Renfeng, Ma Pengfei

机构信息

Hepatopancreatobiliary Surgery Department, The first affiliated hospital of Zhengzhou university, Zhengzhou, 450001, China.

出版信息

Sci Rep. 2025 Jan 2;15(1):522. doi: 10.1038/s41598-024-84835-w.

DOI:10.1038/s41598-024-84835-w
PMID:39748118
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11696813/
Abstract

Microvascular invasion (MVI) diagnosis relies on postoperative pathological examinations, underscoring the urgent need for a novel diagnostic method. C-Reactive Protein (CRP), has shown significant relevance to hepatocellular carcinoma (HCC) prognosis. This study aims to explore the relationship between preoperative serum CRP levels and microvascular invasion in hepatocellular carcinoma and develop a nomogram model for predicting MVI. Patients were categorized into MVI-positive and MVI-negative groups for analysis. Serum CRP levels were compared between the two groups. And then use LASSO regression to screen variables and build a nomogram. CRP levels showed significant differences between the MVI-positive and MVI-negative groups. Multivariable logistic regression analysis identified CRP (OR = 4.85, P < 0.001), lnAFP (OR = 3.11, P < 0.001), WBC count (OR = 2.73, P = 0.003), and tumor diameter (OR = 2.38, P = 0.01) as independent predictors of MVI. A nomogram based on these variables showed good predictive performance in both the training and validation cohorts with dual validation. The clinical prediction nomogram model, which includes serum CRP levels, WBC count, tumor diameter, and serum AFP levels, showed good performance in predicting MVI in both the training and validation cohorts.

摘要

微血管侵犯(MVI)的诊断依赖于术后病理检查,这凸显了对新型诊断方法的迫切需求。C反应蛋白(CRP)已被证明与肝细胞癌(HCC)的预后密切相关。本研究旨在探讨肝细胞癌患者术前血清CRP水平与微血管侵犯之间的关系,并建立一个预测MVI的列线图模型。将患者分为MVI阳性组和MVI阴性组进行分析。比较两组患者的血清CRP水平。然后使用LASSO回归筛选变量并构建列线图。CRP水平在MVI阳性组和MVI阴性组之间存在显著差异。多变量逻辑回归分析确定CRP(OR = 4.85,P < 0.001)、lnAFP(OR = 3.11,P < 0.001)、白细胞计数(OR = 2.73,P = 0.003)和肿瘤直径(OR = 2.38,P = 0.01)为MVI的独立预测因素。基于这些变量的列线图在训练队列和验证队列中均表现出良好的预测性能,且经过双重验证。包含血清CRP水平、白细胞计数、肿瘤直径和血清AFP水平的临床预测列线图模型在训练队列和验证队列中对MVI的预测均表现良好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86c3/11696813/d2a4260b4c56/41598_2024_84835_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86c3/11696813/13331435faf8/41598_2024_84835_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86c3/11696813/ff4e1a656fac/41598_2024_84835_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86c3/11696813/6d1f6faef24a/41598_2024_84835_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86c3/11696813/1ebe3ba688be/41598_2024_84835_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86c3/11696813/d2a4260b4c56/41598_2024_84835_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86c3/11696813/13331435faf8/41598_2024_84835_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86c3/11696813/ff4e1a656fac/41598_2024_84835_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86c3/11696813/6d1f6faef24a/41598_2024_84835_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86c3/11696813/1ebe3ba688be/41598_2024_84835_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86c3/11696813/d2a4260b4c56/41598_2024_84835_Fig5_HTML.jpg

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本文引用的文献

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Front Immunol. 2024 Jan 18;15:1329634. doi: 10.3389/fimmu.2024.1329634. eCollection 2024.
2
Microvascular invasion risk scores affect the estimation of early recurrence after resection in patients with hepatocellular carcinoma: a retrospective study.微血管侵犯风险评分影响肝癌患者切除术后早期复发的评估:一项回顾性研究。
BMC Med Imaging. 2022 Nov 22;22(1):204. doi: 10.1186/s12880-022-00940-0.
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Microvascular Invasion in Hepatocellular Carcinoma: A Review of Its Definition, Clinical Significance, and Comprehensive Management.
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J Oncol. 2022 Mar 30;2022:9567041. doi: 10.1155/2022/9567041. eCollection 2022.
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Analysis of Related Risk Factors of Microvascular Invasion in Hepatocellular Carcinoma.分析肝癌微血管侵犯的相关危险因素。
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