Literature DB >> 30982657

A nomogram to predict early postoperative recurrence of hepatocellular carcinoma with portal vein tumour thrombus after R0 liver resection: A large-scale, multicenter study.

Xiu-Ping Zhang1, Zhen-Hua Chen1, Teng-Fei Zhou2, Le-Qun Li3, Min-Shan Chen4, Tian-Fu Wen5, Jie Shi1, Wei-Xing Guo1, Meng-Chao Wu1, Wan Yee Lau6, Shu-Qun Cheng7.   

Abstract

BACKGROUND: Portal vein tumour thrombus (PVTT) is a significant poor prognostic factor for hepatocellular carcinoma (HCC). Patients with PVTT limited to a first-order branch or above of the main portal vein (MPV) could benefit from R0 liver resection (LR). A nomogram is needed to predict early postoperative recurrence (ER) in HCC patients with PVTT and to guide selection of these patients for adjuvant therapy to reduce postoperative recurrence risks.
METHODS: HCC patients with PVTT limited to a first-order branch or above of the MPV after R0 LR as an initial therapy were included. A nomogram using data from a retrospective training cohort was developed with the Cox regression model. The model was tested in a prospective internal validation cohort and three external validation cohorts.
RESULTS: Of 979 patients, 657 developed postoperative ER (67.1%). ER occurred in 165 of 264 patients (62.5%) in the training cohort, 146 of 218 patients (70.0%) in the internal validation cohort, and 204 of 284 patients (71.8%), 77 of 113 patients (68.1%), and 65 of 100 patients (65%) in the three external validation cohorts, respectively. The nomogram included the following variables: hepatitis B surface antigen (HBsAg), PVTT, HBV DNA, satellite nodules, α-fetoprotein, and tumour diameter. The ROC were 0.836, 0.763, 0.802, 0.837, and 0.846 in predicting ER in the five respective cohorts.
CONCLUSION: A nomogram was developed and validated to predict postoperative ER in patients with HCC with PVTT after R0 LR. This nomogram could select appropriate patients with high ER risks for postoperative adjuvant therapy.
Copyright © 2019 Elsevier Ltd, BASO ~ The Association for Cancer Surgery, and the European Society of Surgical Oncology. All rights reserved.

Entities:  

Keywords:  Early recurrence; Hepatocellular carcinoma; Nomogram; Portal vein tumour thrombus; R0 liver resection

Mesh:

Substances:

Year:  2019        PMID: 30982657     DOI: 10.1016/j.ejso.2019.03.043

Source DB:  PubMed          Journal:  Eur J Surg Oncol        ISSN: 0748-7983            Impact factor:   4.424


  9 in total

1.  Establishment of a Genomic-Clinicopathologic Nomogram for Predicting Early Recurrence of Hepatocellular Carcinoma After R0 Resection.

Authors:  Bin Yu; Han Liang; Qifa Ye; Yanfeng Wang
Journal:  J Gastrointest Surg       Date:  2020-03-03       Impact factor: 3.452

2.  Preoperative and postoperative nomograms for predicting early recurrence of hepatocellular carcinoma without macrovascular invasion after curative resection.

Authors:  Yanfang Zhang; Xuezhong Lei; Liangliang Xu; Xiaoju Lv; Mingqing Xu; Hong Tang
Journal:  BMC Surg       Date:  2022-06-17       Impact factor: 2.030

3.  Development and Validation of a Clinicopathological-Based Nomogram to Predict the Survival Outcome of Patients with Recurrent Hepatocellular Carcinoma After Hepatectomy Who Underwent Microwave Ablation.

Authors:  Chunhou Qi; Shankai Li; Lei Zhang
Journal:  Cancer Manag Res       Date:  2020-08-21       Impact factor: 3.989

4.  Scinderin suppresses cell proliferation and predicts the poor prognosis of hepatocellular carcinoma.

Authors:  Bin Zhou; Tian-Wei Chen; Ya-Bo Jiang; Xu-Biao Wei; Chong-De Lu; Jing-Jing Li; Dong Xie; Shu-Qun Cheng
Journal:  Oncol Lett       Date:  2020-01-08       Impact factor: 2.967

5.  Postoperative adjuvant TACE-associated nomogram for predicting the prognosis of resectable Hepatocellular Carcinoma with portal vein Tumor Thrombus after Liver Resection.

Authors:  Fuchen Liu; Xinggang Guo; Wei Dong; Wenli Zhang; Shuxun Wei; Shutong Zhang; Xiuli Zhu; Weiping Zhou; Jinmin Zhang; Hui Liu
Journal:  Int J Biol Sci       Date:  2020-10-23       Impact factor: 6.580

6.  Artificial neural network model to predict post-hepatectomy early recurrence of hepatocellular carcinoma without macroscopic vascular invasion.

Authors:  Rong-Yun Mai; Jie Zeng; Wei-da Meng; Hua-Ze Lu; Rong Liang; Yan Lin; Guo-Bin Wu; Le-Qun Li; Liang Ma; Jia-Zhou Ye; Tao Bai
Journal:  BMC Cancer       Date:  2021-03-16       Impact factor: 4.430

7.  Patients with polyclonal hepatocellular carcinoma are at a high risk of early recurrence and have a poor recurrence-free survival period.

Authors:  Masaki Kaibori; Kazuko Sakai; Hideyuki Matsushima; Hisashi Kosaka; Kosuke Matsui; Marco A De Velasco; Mitsugu Sekimoto; Kazuto Nishio
Journal:  Hepatol Int       Date:  2022-01-01       Impact factor: 6.047

8.  Establishment and Evaluation of a Predictive Model for Early Postoperative Recurrence of Hepatocellular Carcinoma in Patients with Microvascular Invasion.

Authors:  Kai Zhang; Changcheng Tao; Fan Wu; Tana Siqin; Jianxiong Wu; Weiqi Rong
Journal:  Int J Gen Med       Date:  2021-06-03

9.  Novel Prognostic Nomograms for Predicting Early and Late Recurrence of Hepatocellular Carcinoma After Curative Hepatectomy.

Authors:  Wei Xu; Ruineng Li; Fei Liu
Journal:  Cancer Manag Res       Date:  2020-03-09       Impact factor: 3.989

  9 in total

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