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Risk scoring system for recurrence after simultaneous resection of colorectal cancer liver metastasis

BACKGROUND: The simultaneous resection of synchronous colorectal cancer liver metastasis (SCRLM) has been widely applied. It is necessary to establish a risk scoring system to predict post-operative recurrence, especially in patients with neoadjuvant treatment. METHODS: The medical records of 221 pa...

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Autores principales: Wu, Yuchen, Guo, Tianan, Xu, Zhenhong, Liu, Fangqi, Cai, Sanjun, Wang, Lu, Xu, Ye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8267263/
https://www.ncbi.nlm.nih.gov/pubmed/34277766
http://dx.doi.org/10.21037/atm-21-2595
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author Wu, Yuchen
Guo, Tianan
Xu, Zhenhong
Liu, Fangqi
Cai, Sanjun
Wang, Lu
Xu, Ye
author_facet Wu, Yuchen
Guo, Tianan
Xu, Zhenhong
Liu, Fangqi
Cai, Sanjun
Wang, Lu
Xu, Ye
author_sort Wu, Yuchen
collection PubMed
description BACKGROUND: The simultaneous resection of synchronous colorectal cancer liver metastasis (SCRLM) has been widely applied. It is necessary to establish a risk scoring system to predict post-operative recurrence, especially in patients with neoadjuvant treatment. METHODS: The medical records of 221 patients undergoing simultaneous resection of CRLM were assessed in this study with a further 128 patients allocated to a validation group. All patients in the study group were classified according to their history of neoadjuvant treatment and univariate and multivariate analyses were applied to study independent risk factors. A score model was then generated according to the factors included. Our data set were also applied to validate three other existing scoring models [Fong clinical recurrence score (CRS), Konopke, and Zakaria disease-free survival (DFS) score], and the concordance index was calculated for comparison among these models. RESULTS: CRLM involving more than three nodes positive for a primary tumor was considered an independent risk factor for progression in patients without neoadjuvant treatment and all score models could discretely stratify patients according to disease free survival. In patients receiving neoadjuvant treatment, CRLM involving more than one node and transfusion invasion were major determinants in patients after treatment. However, only our scoring system and Fong’s CRS score could discretely discriminate patients. In the validation group, patients were significantly classified with the score system. CONCLUSIONS: Existing score models had better values for determining prognosis in patients with SCRLM, especially in those undertaking neoadjuvant treatment. Larger cohorts, along with more detailed clinical features and multicenter validation should be undertaken before utilization.
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spelling pubmed-82672632021-07-16 Risk scoring system for recurrence after simultaneous resection of colorectal cancer liver metastasis Wu, Yuchen Guo, Tianan Xu, Zhenhong Liu, Fangqi Cai, Sanjun Wang, Lu Xu, Ye Ann Transl Med Original Article BACKGROUND: The simultaneous resection of synchronous colorectal cancer liver metastasis (SCRLM) has been widely applied. It is necessary to establish a risk scoring system to predict post-operative recurrence, especially in patients with neoadjuvant treatment. METHODS: The medical records of 221 patients undergoing simultaneous resection of CRLM were assessed in this study with a further 128 patients allocated to a validation group. All patients in the study group were classified according to their history of neoadjuvant treatment and univariate and multivariate analyses were applied to study independent risk factors. A score model was then generated according to the factors included. Our data set were also applied to validate three other existing scoring models [Fong clinical recurrence score (CRS), Konopke, and Zakaria disease-free survival (DFS) score], and the concordance index was calculated for comparison among these models. RESULTS: CRLM involving more than three nodes positive for a primary tumor was considered an independent risk factor for progression in patients without neoadjuvant treatment and all score models could discretely stratify patients according to disease free survival. In patients receiving neoadjuvant treatment, CRLM involving more than one node and transfusion invasion were major determinants in patients after treatment. However, only our scoring system and Fong’s CRS score could discretely discriminate patients. In the validation group, patients were significantly classified with the score system. CONCLUSIONS: Existing score models had better values for determining prognosis in patients with SCRLM, especially in those undertaking neoadjuvant treatment. Larger cohorts, along with more detailed clinical features and multicenter validation should be undertaken before utilization. AME Publishing Company 2021-06 /pmc/articles/PMC8267263/ /pubmed/34277766 http://dx.doi.org/10.21037/atm-21-2595 Text en 2021 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Wu, Yuchen
Guo, Tianan
Xu, Zhenhong
Liu, Fangqi
Cai, Sanjun
Wang, Lu
Xu, Ye
Risk scoring system for recurrence after simultaneous resection of colorectal cancer liver metastasis
title Risk scoring system for recurrence after simultaneous resection of colorectal cancer liver metastasis
title_full Risk scoring system for recurrence after simultaneous resection of colorectal cancer liver metastasis
title_fullStr Risk scoring system for recurrence after simultaneous resection of colorectal cancer liver metastasis
title_full_unstemmed Risk scoring system for recurrence after simultaneous resection of colorectal cancer liver metastasis
title_short Risk scoring system for recurrence after simultaneous resection of colorectal cancer liver metastasis
title_sort risk scoring system for recurrence after simultaneous resection of colorectal cancer liver metastasis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8267263/
https://www.ncbi.nlm.nih.gov/pubmed/34277766
http://dx.doi.org/10.21037/atm-21-2595
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