Suppr超能文献

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.

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。

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