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Characterization of Genomic Alterations in Colorectal Liver Metastasis and Their Prognostic Value

Colorectal liver metastases (CRLMs) are clinically heterogeneous lesions with poor prognosis. Genetic alterations play a crucial role in their progression. The traditional Fong clinical risk score (Fong-CRS) is commonly used for risk stratification and prognosis prediction. By identifying the genomi...

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Autores principales: Bao, Xuanwen, Wang, Kun, Liu, Ming, Li, Bin, Wang, Hongwei, Jin, Kemin, Yan, Xiaoluan, Zhang, Hangyu, Bao, Quan, Xu, Da, Wang, Lijun, Liu, Wei, Wang, Yanyan, Li, Juan, Liu, Lijuan, Fang, Weijia, Xing, Baocai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9289210/
https://www.ncbi.nlm.nih.gov/pubmed/35860598
http://dx.doi.org/10.3389/fcell.2021.760618
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author Bao, Xuanwen
Wang, Kun
Liu, Ming
Li, Bin
Wang, Hongwei
Jin, Kemin
Yan, Xiaoluan
Zhang, Hangyu
Bao, Quan
Xu, Da
Wang, Lijun
Liu, Wei
Wang, Yanyan
Li, Juan
Liu, Lijuan
Fang, Weijia
Xing, Baocai
author_facet Bao, Xuanwen
Wang, Kun
Liu, Ming
Li, Bin
Wang, Hongwei
Jin, Kemin
Yan, Xiaoluan
Zhang, Hangyu
Bao, Quan
Xu, Da
Wang, Lijun
Liu, Wei
Wang, Yanyan
Li, Juan
Liu, Lijuan
Fang, Weijia
Xing, Baocai
author_sort Bao, Xuanwen
collection PubMed
description Colorectal liver metastases (CRLMs) are clinically heterogeneous lesions with poor prognosis. Genetic alterations play a crucial role in their progression. The traditional Fong clinical risk score (Fong-CRS) is commonly used for risk stratification and prognosis prediction. By identifying the genomic alterations of CRLMs, we aimed to develop a mutation-based gene-signature-based clinical score (mut-CS) system to improve clinical prognostication. Tumour tissues from 144 patients with CRLMs were analysed with next-generation sequencing (NGS). A mut-CS scoring system considering the unique mutation-based gene signature, primary site, and Fong-CRS was developed and could identify CRLM patients with poor prognosis. The mean time-dependent receiver operating characteristic curve AUC value of the mut-CS system was greater than that of previously established scoring measures (the Fong-CRS, the e-clinical score, the presence of concomitant RAS and TP53 mutations, and other clinical traits). Taking together, we identified a mutant signature that exhibits a strong prognostic effect for CRLMs. Traditional clinical scoring system characteristics were incorporated into the new mut-CS scoring system to help determine the appropriate treatment for CRLMs.
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spelling pubmed-92892102022-07-19 Characterization of Genomic Alterations in Colorectal Liver Metastasis and Their Prognostic Value Bao, Xuanwen Wang, Kun Liu, Ming Li, Bin Wang, Hongwei Jin, Kemin Yan, Xiaoluan Zhang, Hangyu Bao, Quan Xu, Da Wang, Lijun Liu, Wei Wang, Yanyan Li, Juan Liu, Lijuan Fang, Weijia Xing, Baocai Front Cell Dev Biol Cell and Developmental Biology Colorectal liver metastases (CRLMs) are clinically heterogeneous lesions with poor prognosis. Genetic alterations play a crucial role in their progression. The traditional Fong clinical risk score (Fong-CRS) is commonly used for risk stratification and prognosis prediction. By identifying the genomic alterations of CRLMs, we aimed to develop a mutation-based gene-signature-based clinical score (mut-CS) system to improve clinical prognostication. Tumour tissues from 144 patients with CRLMs were analysed with next-generation sequencing (NGS). A mut-CS scoring system considering the unique mutation-based gene signature, primary site, and Fong-CRS was developed and could identify CRLM patients with poor prognosis. The mean time-dependent receiver operating characteristic curve AUC value of the mut-CS system was greater than that of previously established scoring measures (the Fong-CRS, the e-clinical score, the presence of concomitant RAS and TP53 mutations, and other clinical traits). Taking together, we identified a mutant signature that exhibits a strong prognostic effect for CRLMs. Traditional clinical scoring system characteristics were incorporated into the new mut-CS scoring system to help determine the appropriate treatment for CRLMs. Frontiers Media S.A. 2022-07-04 /pmc/articles/PMC9289210/ /pubmed/35860598 http://dx.doi.org/10.3389/fcell.2021.760618 Text en Copyright © 2022 Bao, Wang, Liu, Li, Wang, Jin, Yan, Zhang, Bao, Xu, Wang, Liu, Wang, Li, Liu, Fang and Xing. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cell and Developmental Biology
Bao, Xuanwen
Wang, Kun
Liu, Ming
Li, Bin
Wang, Hongwei
Jin, Kemin
Yan, Xiaoluan
Zhang, Hangyu
Bao, Quan
Xu, Da
Wang, Lijun
Liu, Wei
Wang, Yanyan
Li, Juan
Liu, Lijuan
Fang, Weijia
Xing, Baocai
Characterization of Genomic Alterations in Colorectal Liver Metastasis and Their Prognostic Value
title Characterization of Genomic Alterations in Colorectal Liver Metastasis and Their Prognostic Value
title_full Characterization of Genomic Alterations in Colorectal Liver Metastasis and Their Prognostic Value
title_fullStr Characterization of Genomic Alterations in Colorectal Liver Metastasis and Their Prognostic Value
title_full_unstemmed Characterization of Genomic Alterations in Colorectal Liver Metastasis and Their Prognostic Value
title_short Characterization of Genomic Alterations in Colorectal Liver Metastasis and Their Prognostic Value
title_sort characterization of genomic alterations in colorectal liver metastasis and their prognostic value
topic Cell and Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9289210/
https://www.ncbi.nlm.nih.gov/pubmed/35860598
http://dx.doi.org/10.3389/fcell.2021.760618
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