Construction and validation of a prognostic model for colorectal cancer based on migrasome-related long non-coding RNAs.

IF 2.3 3区 生物学 Q2 MULTIDISCIPLINARY SCIENCES
PeerJ Pub Date : 2025-05-14 eCollection Date: 2025-01-01 DOI:10.7717/peerj.19443
Qiang Lv, Qingzhu Yang, Hongsheng Chen, Yang Wang, Yuliuming Wang, Xu Hu, Ming Liu
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引用次数: 0

Abstract

Background: Colon adenocarcinoma (COAD) is a globally prevalent and deadly malignancy of the digestive system. Recently, migrasomes have gained significant attention as important regulators of tumor cell migration and metastasis. The current research developed a highly accurate prognostic model using migrasome-related long non-coding RNAs (lncRNAs) in COAD, providing new insights for prognostic assessment and immunotherapy of COAD patients.

Methods: RNA sequencing data from COAD patients were acquired from The Cancer Genome Atlas Program (TCGA) database to construct a prognostic lncRNA model based on known migrasome-related genes (MRGs). The model's predictive accuracy was then assessed using concordance index (C-index) analysis, nomograms, principal component analysis, and receiver operating characteristic curves. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted to identify significant differences in biological functions and signaling pathways associated with differentially expressed genes in the high-risk subgroup. A comprehensive evaluation of the model incorporated clinical-pathological features, tumor microenvironment, and chemotherapy sensitivity. The expression levels of prognostic genes in COAD patients were validated via quantitative reverse transcription polymerase chain reaction (RT-qPCR). Furthermore, the role of LCMT1-AS1 in colorectal cancer was examined through CCK-8 assays, colony formation assays, and Transwell experiments.

Results: Migrasome-related lncRNAs were identified as robust prognostic predictors for COAD. Multivariate analysis revealed that the risk score derived from these lncRNAs is an independent prognostic factor for COAD. Patients in the low-risk group exhibited significantly longer overall survival (OS) compared to those in the high-risk group. Accordingly, the nomogram prediction model we developed, which integrates clinical features and risk scores, demonstrated excellent prognostic performance. In vitro experiments further showed that LCMT1-AS1 promotes the proliferation and migration of COAD cells.

基于迁移体相关长链非编码rna的结直肠癌预后模型的构建和验证。
背景:结肠腺癌(COAD)是一种全球流行的致命的消化系统恶性肿瘤。近年来,迁移体作为肿瘤细胞迁移和转移的重要调节因子受到了广泛关注。本研究利用迁移体相关长链非编码rna (lncRNAs)在COAD中建立了高度准确的预后模型,为COAD患者的预后评估和免疫治疗提供了新的见解。方法:从癌症基因组图谱计划(TCGA)数据库中获取COAD患者的RNA测序数据,构建基于已知迁移体相关基因(MRGs)的预后lncRNA模型。然后使用一致性指数(C-index)分析、模态图、主成分分析和受试者工作特征曲线来评估模型的预测准确性。通过基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析,确定高危亚群中差异表达基因相关的生物学功能和信号通路的显著差异。综合评估模型包括临床病理特征、肿瘤微环境和化疗敏感性。通过定量逆转录聚合酶链反应(RT-qPCR)验证COAD患者预后基因的表达水平。此外,通过CCK-8测定、菌落形成测定和Transwell实验,检测LCMT1-AS1在结直肠癌中的作用。结果:偏头痛相关lncrna被确定为COAD的可靠预后预测因子。多因素分析显示,来自这些lncrna的风险评分是COAD的独立预后因素。与高危组相比,低危组患者的总生存期(OS)明显更长。因此,我们开发的结合临床特征和风险评分的nomogram预测模型显示了良好的预后效果。体外实验进一步表明,LCMT1-AS1能促进COAD细胞的增殖和迁移。
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来源期刊
PeerJ
PeerJ MULTIDISCIPLINARY SCIENCES-
CiteScore
4.70
自引率
3.70%
发文量
1665
审稿时长
10 weeks
期刊介绍: PeerJ is an open access peer-reviewed scientific journal covering research in the biological and medical sciences. At PeerJ, authors take out a lifetime publication plan (for as little as $99) which allows them to publish articles in the journal for free, forever. PeerJ has 5 Nobel Prize Winners on the Board; they have won several industry and media awards; and they are widely recognized as being one of the most interesting recent developments in academic publishing.
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