Identification and prognostic analysis of genes related to CTNNB1 mutations in hepatocellular carcinoma.

IF 5.5 2区 生物学 Q1 BIOLOGY
Ningqi Zhu, Guo Zhang, Xiaotian Shen, Zule Chen, Ying Li, Diyu Chen, Huliang Jia
{"title":"Identification and prognostic analysis of genes related to CTNNB1 mutations in hepatocellular carcinoma.","authors":"Ningqi Zhu, Guo Zhang, Xiaotian Shen, Zule Chen, Ying Li, Diyu Chen, Huliang Jia","doi":"10.1186/s13062-026-00873-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Mutations in CTNNB1 are recognized oncogenic drivers of hepatocellular carcinoma (HCC); however, the downstream effector molecules and their prognostic significance remain incompletely defined. In this study, we developed a mutant CTNNB1 gene signature (MCGS) to predict CTNNB1 mutation status and to evaluate the prognostic relevance of the constituent genes.</p><p><strong>Methods: </strong>Hydrodynamic tail vein injection mouse models of HCC were generated by co-expressing Sleeping Beauty transposon/transposase and mutant CTNNB1 with either AKT-c-Myc or AKT-NRAS<sup>G12V</sup>, followed by RNA sequencing of tumor tissues. Cross-species differential expression analyses were performed by integrating data from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC). Machine-learning models were trained to identify MCGS. The prognostic value of signature genes was validated using public transcriptomic datasets and immunohistochemistry on an institutional tissue microarray (TMA) cohort.</p><p><strong>Results: </strong>Mutant CTNNB1 markedly accelerated hepatocarcinogenesis in mice, leading to earlier tumor development and reduced survival. Transcriptomic profiling revealed enrichment of the Hippo and MAPK signaling pathways in CTNNB1-mutant HCCs. We established a 15-gene MCGS using a Categorical Boosting algorithm, which accurately predicted CTNNB1 mutation status (AUC = 0.957 in TCGA; 0.893 in ICGC). Among these genes, metallothionein-3 (MT3) emerged as a prognostic marker, with high expression independently associated with poorer overall survival in public datasets. Consistently, elevated MT3 protein expression on the TMA was also independently associated with worse overall and recurrence-free survival in our institutional cohort.</p><p><strong>Conclusion: </strong>We identified a robust mutant CTNNB1 gene signature capable of accurately predicting CTNNB1 mutation status, and uncovered MT3 as a novel, clinically relevant prognostic biomarker in HCC.</p>","PeriodicalId":9164,"journal":{"name":"Biology Direct","volume":" ","pages":""},"PeriodicalIF":5.5000,"publicationDate":"2026-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13591878/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biology Direct","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1186/s13062-026-00873-6","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Mutations in CTNNB1 are recognized oncogenic drivers of hepatocellular carcinoma (HCC); however, the downstream effector molecules and their prognostic significance remain incompletely defined. In this study, we developed a mutant CTNNB1 gene signature (MCGS) to predict CTNNB1 mutation status and to evaluate the prognostic relevance of the constituent genes.

Methods: Hydrodynamic tail vein injection mouse models of HCC were generated by co-expressing Sleeping Beauty transposon/transposase and mutant CTNNB1 with either AKT-c-Myc or AKT-NRASG12V, followed by RNA sequencing of tumor tissues. Cross-species differential expression analyses were performed by integrating data from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC). Machine-learning models were trained to identify MCGS. The prognostic value of signature genes was validated using public transcriptomic datasets and immunohistochemistry on an institutional tissue microarray (TMA) cohort.

Results: Mutant CTNNB1 markedly accelerated hepatocarcinogenesis in mice, leading to earlier tumor development and reduced survival. Transcriptomic profiling revealed enrichment of the Hippo and MAPK signaling pathways in CTNNB1-mutant HCCs. We established a 15-gene MCGS using a Categorical Boosting algorithm, which accurately predicted CTNNB1 mutation status (AUC = 0.957 in TCGA; 0.893 in ICGC). Among these genes, metallothionein-3 (MT3) emerged as a prognostic marker, with high expression independently associated with poorer overall survival in public datasets. Consistently, elevated MT3 protein expression on the TMA was also independently associated with worse overall and recurrence-free survival in our institutional cohort.

Conclusion: We identified a robust mutant CTNNB1 gene signature capable of accurately predicting CTNNB1 mutation status, and uncovered MT3 as a novel, clinically relevant prognostic biomarker in HCC.

肝细胞癌中CTNNB1突变相关基因的鉴定和预后分析。
背景:CTNNB1突变是公认的肝细胞癌(HCC)的致癌驱动因素;然而,下游效应分子及其预后意义仍未完全确定。在这项研究中,我们开发了突变CTNNB1基因标记(MCGS)来预测CTNNB1突变状态,并评估组成基因的预后相关性。方法:通过与AKT-c-Myc或AKT-NRASG12V共表达睡美人转座子/转座酶和突变体CTNNB1,建立小鼠肝细胞癌水动力尾静脉注射模型,对肿瘤组织进行RNA测序。通过整合来自癌症基因组图谱(TCGA)和国际癌症基因组联盟(ICGC)的数据进行跨物种差异表达分析。机器学习模型被训练来识别MCGS。使用公共转录组数据集和免疫组织化学在机构组织微阵列(TMA)队列上验证了特征基因的预后价值。结果:CTNNB1突变体显著加速小鼠肝癌的发生,导致肿瘤早期发展和生存率降低。转录组学分析显示,在ctnnb1突变型hcc中,Hippo和MAPK信号通路富集。我们使用分类增强算法建立了15个基因的MCGS,准确预测了CTNNB1突变状态(TCGA的AUC = 0.957, ICGC的AUC = 0.893)。在这些基因中,金属硫蛋白-3 (MT3)作为预后标志物出现,在公共数据集中,其高表达与较差的总生存率独立相关。一致地,在我们的机构队列中,TMA上MT3蛋白表达升高也与较差的总生存率和无复发生存率独立相关。结论:我们发现了一个强大的突变CTNNB1基因特征,能够准确预测CTNNB1突变状态,并发现MT3是HCC中一种新的、临床相关的预后生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Biology Direct
Biology Direct 生物-生物学
CiteScore
6.40
自引率
10.90%
发文量
32
审稿时长
7 months
期刊介绍: Biology Direct serves the life science research community as an open access, peer-reviewed online journal, providing authors and readers with an alternative to the traditional model of peer review. Biology Direct considers original research articles, hypotheses, comments, discovery notes and reviews in subject areas currently identified as those most conducive to the open review approach, primarily those with a significant non-experimental component.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书