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肝细胞癌临床与病理淋巴结状态的相关性:通过国家癌症数据库确定淋巴结转移的危险因素

Correlation between clinical and pathological nodal status in hepatocellular carcinoma: identifying risk factors for lymph node metastasis via the national cancer database.

作者信息

Lee Huisong, Jung Kyunguk, Luu Michael, Kosari Kambiz, Nissen Nicholas, Yang Ju Dong

机构信息

Department of Surgery, Ewha Womans University Mokdong Hospital, Ewha Womans University College of Medicine, Seoul, Republic of Korea.

Department of Surgery, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

出版信息

World J Surg Oncol. 2025 Aug 12;23(1):311. doi: 10.1186/s12957-025-03950-8.

DOI:10.1186/s12957-025-03950-8
PMID:40790220
Abstract

BACKGROUND

Lymph node metastasis (LNM) in hepatocellular carcinoma (HCC) is associated with significantly worse prognosis, yet its detection and risk stratification remain challenging in clinical practice. This study aimed to investigate the correlation between clinical nodal status (cN) and pathological nodal status (pN) in HCC patients and to identify risk factors for LNM via the National Cancer Database (NCDB).

METHODS

We identified HCC patients who underwent liver resection between 2004 and 2017 from the NCDB. Clinical and pathological variables were analyzed to assess the correlation between cN1 and pN1. Logistic regression models were used to identify risk factors for LNM and to evaluate the diagnostic performance of cN1 in predicting pN1.

RESULTS

A total of 21,733 HCC patients who underwent liver resection were analyzed. Of these, 15,496 (71%) were male, and the median age was 65 years. Only 1.4% of patients had cN1 disease. Among the 7,612 patients who underwent lymph node excision (LNE), 3.3% had pN1. Clinical LNM (cN1) demonstrated high specificity (99.2%) but low sensitivity (46.2%) in detecting pN1. Logistic regression analysis revealed that younger age, female sex, fibrolamellar histology, combined hepatocellular-cholangiocarcinoma (HCC-CCA), advanced clinical T stage, and higher tumor grade were significant risk factors for pN1.

CONCLUSIONS

Tumor characteristics, patient demographics, and specific histological subtypes significantly influence the risk of pN1 in patients with resectable HCC. Given the low sensitivity of cN1, LNE should be considered for high-risk patients to improve diagnostic accuracy and inform treatment decisions. These findings underscore the importance of integrating risk factors into clinical practice and highlight the need for further research to refine predictive models for LNM in HCC.

摘要

背景

肝细胞癌(HCC)中的淋巴结转移(LNM)与预后显著较差相关,但在临床实践中其检测和风险分层仍然具有挑战性。本研究旨在通过国家癌症数据库(NCDB)调查HCC患者临床淋巴结状态(cN)与病理淋巴结状态(pN)之间的相关性,并确定LNM的危险因素。

方法

我们从NCDB中识别出2004年至2017年间接受肝切除术的HCC患者。分析临床和病理变量以评估cN1与pN1之间的相关性。使用逻辑回归模型确定LNM的危险因素,并评估cN1预测pN1的诊断性能。

结果

共分析了21,733例接受肝切除术的HCC患者。其中,15,496例(71%)为男性,中位年龄为65岁。仅有1.4%的患者患有cN1疾病。在7,612例接受淋巴结切除(LNE)的患者中,3.3%患有pN1。临床LNM(cN1)在检测pN1时显示出高特异性(99.2%)但低敏感性(46.2%)。逻辑回归分析显示,年龄较小、女性、纤维板层组织学、肝细胞-胆管癌合并症(HCC-CCA)、临床T分期晚期和肿瘤分级较高是pN1的显著危险因素。

结论

肿瘤特征、患者人口统计学和特定组织学亚型显著影响可切除HCC患者发生pN1的风险。鉴于cN1的低敏感性,对于高危患者应考虑进行LNE以提高诊断准确性并为治疗决策提供依据。这些发现强调了将危险因素纳入临床实践的重要性,并突出了进一步研究以完善HCC中LNM预测模型的必要性。

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本文引用的文献

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Systemic Therapy for Advanced Hepatocellular Carcinoma: ASCO Guideline Update.晚期肝细胞癌的系统治疗:ASCO 指南更新。
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Response to atezolizumab plus bevacizumab specific for lung and lymph node metastases affects survival of patients with HCC.阿替利珠单抗联合贝伐珠单抗治疗肺和淋巴结转移对 HCC 患者的生存影响。
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Diagnosis of Metastatic Lymph Nodes in Patients With Hepatocellular Carcinoma Using Dual-Energy Computed Tomography.
利用双能计算机断层扫描诊断肝细胞癌患者的转移性淋巴结
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Prognostic Role of Lymph Node Sampling in Adolescent and Young Adults With Fibrolamellar Carcinoma.青少年和年轻成年人肝纤维板层癌淋巴结采样的预后作用。
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Development and Validation of a Novel Model to Predict Regional Lymph Node Metastasis in Patients With Hepatocellular Carcinoma.一种预测肝细胞癌患者区域淋巴结转移的新型模型的开发与验证
Front Oncol. 2022 Feb 11;12:835957. doi: 10.3389/fonc.2022.835957. eCollection 2022.
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Tissue Diagnosis Is Associated With Worse Survival in Hepatocellular Carcinoma: A National Cancer Database Analysis.组织学诊断与肝癌患者生存预后较差相关:一项基于国家癌症数据库的分析。
Am Surg. 2022 Jun;88(6):1234-1243. doi: 10.1177/0003134821991983. Epub 2021 Apr 8.
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