Construction of an HCC recurrence model basedon the investigation of immune-relatedlncRNAs and related mechanisms
| العنوان: | Construction of an HCC recurrence model basedon the investigation of immune-relatedlncRNAs and related mechanisms |
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| المؤلفون: | Wei Pan, Jing-Yi Ren, Liping Ai, Hong-Mei Zhang, Xiang-Xu Wang, Qiong Zhang, Li-Hong Wu |
| المصدر: | Molecular Therapy: Nucleic Acids, Vol 26, Iss, Pp 1387-1400 (2021) Molecular Therapy. Nucleic Acids |
| بيانات النشر: | Elsevier, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Oncology, medicine.medical_specialty, recurrence, Competing endogenous RNA, business.industry, Proportional hazards model, Univariate, immune microenvironment, hepatocellular carcinoma, ceRNA, RM1-950, Nomogram, medicine.disease, Immune system, lncRNA, Internal medicine, Hepatocellular carcinoma, Drug Discovery, Cohort, Molecular Medicine, Medicine, Original Article, Therapeutics. Pharmacology, business, Gene |
| الوصف: | Long noncoding RNAs (lncRNAs) are emerging as critical regulators of gene expression and play fundamental roles in immune regulation. Growing evidence suggests that immune-related genes and lncRNAs can serve as markers to predict the prognosis of patients with cancers, including hepatocellular carcinoma (HCC). This study aimed to contract an immune-related lncRNA (IR-lncRNA) signature for prospective assessment to predict early recurrence of HCC. A total of 319 HCC samples under radical resection were randomly divided into a training cohort (161 samples) and a testing cohort (158 samples). In the training dataset, univariate, lasso, and multivariate Cox regression analyses identified a 9-IR-lncRNA signature closely related to disease-free survival. Kaplan-Meier analysis, principal component analysis, gene set enrichment analysis, and nomogram were used to evaluate the risk model. The results were further confirmed in the testing cohort. Furthermore, we constructed a competitive endogenous RNA regulatory network. The results of the present study indicated that this 9-IR-lncRNA signature has important clinical implications for improving predictive outcomes and guiding individualized treatment in HCC patients. These IR-lncRNAs and regulated genes may be potential biomarkers associated with the prognosis of HCC. Graphical abstract In this paper, we applied multiple bioinformatics methods and constructed a 9-immune-related long noncoding RNA (IR-lncRNA) signature closely related to HCC recurrence. We further constructed an IR-lncRNA-associated competitive endogenous RNA (ceRNA) network based on multiple microRNA (miRNA) target databases. The hub genes in the ceRNA network may act as potential biomarkers and novel therapeutic targets for HCC. |
| اللغة: | English |
| تدمد: | 2162-2531 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57dbd14e1515ad0c5d9b369176720d37 http://www.sciencedirect.com/science/article/pii/S216225312100281X |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....57dbd14e1515ad0c5d9b369176720d37 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 21622531 |
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