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Macrotrabecular-massive subtype-based nomogram to predict early recurrence of hepatocellular carcinoma after surgery
To analyze the predictive factors on early postoperative recurrence of hepatocellular carcinoma (HCC) and to establish a new nomogram to predict early postoperative recurrence of HCC. METHODS: A retrospective analysis of 383 patients who had undergone curative resection between February 2012 and Sep...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams And Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951792/ https://www.ncbi.nlm.nih.gov/pubmed/36827535 http://dx.doi.org/10.1097/MEG.0000000000002525 |
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author | Yang, Yong Mao, Shuqi Fang, Jiongze Wang, Gaoqing Shan, Yuying Yu, Xi Lu, Caide |
author_facet | Yang, Yong Mao, Shuqi Fang, Jiongze Wang, Gaoqing Shan, Yuying Yu, Xi Lu, Caide |
author_sort | Yang, Yong |
collection | PubMed |
description | To analyze the predictive factors on early postoperative recurrence of hepatocellular carcinoma (HCC) and to establish a new nomogram to predict early postoperative recurrence of HCC. METHODS: A retrospective analysis of 383 patients who had undergone curative resection between February 2012 and September 2020 in our center was performed. The Kaplan–Meier method was used for survival curve analysis. Univariate and multivariate Cox regression were performed to identify independent risk factors associated with early recurrence, and a nomogram for predicting early recurrence of HCC was established. RESULTS: A total of 152/383 patients developed recurrence after surgery, of which 83 had recurrence within 1 year. Multivariate Cox regression analysis showed that preoperative alpha-fetoprotein level ≥400 ng/ml (P = 0.001), tumor diameter ≥5 cm (P = 0.009) and MVI (P = 0.007 and macrotrabecular-massive HCC (P = 0.003) were independent risk factors for early postoperative recurrence of HCC. The macrotrabecular-massive-based nomogram obtained a good C-index (0.74) for predicting early recurrence of HCC, and the area under the curve for predicting early recurrence was 0.767, which was better than the single American Joint Committee on Cancer T stage and Barcelona Clinic Liver Cancer stage. CONCLUSIONS: The nomogram based on macrotrabecular-massive HCC can effectively predict early postoperative recurrence of HCC. |
format | Online Article Text |
id | pubmed-9951792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams And Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-99517922023-02-25 Macrotrabecular-massive subtype-based nomogram to predict early recurrence of hepatocellular carcinoma after surgery Yang, Yong Mao, Shuqi Fang, Jiongze Wang, Gaoqing Shan, Yuying Yu, Xi Lu, Caide Eur J Gastroenterol Hepatol Original Articles: Hepatology To analyze the predictive factors on early postoperative recurrence of hepatocellular carcinoma (HCC) and to establish a new nomogram to predict early postoperative recurrence of HCC. METHODS: A retrospective analysis of 383 patients who had undergone curative resection between February 2012 and September 2020 in our center was performed. The Kaplan–Meier method was used for survival curve analysis. Univariate and multivariate Cox regression were performed to identify independent risk factors associated with early recurrence, and a nomogram for predicting early recurrence of HCC was established. RESULTS: A total of 152/383 patients developed recurrence after surgery, of which 83 had recurrence within 1 year. Multivariate Cox regression analysis showed that preoperative alpha-fetoprotein level ≥400 ng/ml (P = 0.001), tumor diameter ≥5 cm (P = 0.009) and MVI (P = 0.007 and macrotrabecular-massive HCC (P = 0.003) were independent risk factors for early postoperative recurrence of HCC. The macrotrabecular-massive-based nomogram obtained a good C-index (0.74) for predicting early recurrence of HCC, and the area under the curve for predicting early recurrence was 0.767, which was better than the single American Joint Committee on Cancer T stage and Barcelona Clinic Liver Cancer stage. CONCLUSIONS: The nomogram based on macrotrabecular-massive HCC can effectively predict early postoperative recurrence of HCC. Lippincott Williams And Wilkins 2023-04 2023-02-06 /pmc/articles/PMC9951792/ /pubmed/36827535 http://dx.doi.org/10.1097/MEG.0000000000002525 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Original Articles: Hepatology Yang, Yong Mao, Shuqi Fang, Jiongze Wang, Gaoqing Shan, Yuying Yu, Xi Lu, Caide Macrotrabecular-massive subtype-based nomogram to predict early recurrence of hepatocellular carcinoma after surgery |
title | Macrotrabecular-massive subtype-based nomogram to predict early recurrence of hepatocellular carcinoma after surgery |
title_full | Macrotrabecular-massive subtype-based nomogram to predict early recurrence of hepatocellular carcinoma after surgery |
title_fullStr | Macrotrabecular-massive subtype-based nomogram to predict early recurrence of hepatocellular carcinoma after surgery |
title_full_unstemmed | Macrotrabecular-massive subtype-based nomogram to predict early recurrence of hepatocellular carcinoma after surgery |
title_short | Macrotrabecular-massive subtype-based nomogram to predict early recurrence of hepatocellular carcinoma after surgery |
title_sort | macrotrabecular-massive subtype-based nomogram to predict early recurrence of hepatocellular carcinoma after surgery |
topic | Original Articles: Hepatology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951792/ https://www.ncbi.nlm.nih.gov/pubmed/36827535 http://dx.doi.org/10.1097/MEG.0000000000002525 |
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