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2000
Volume 25, Issue 13
  • ISSN: 1386-2073
  • E-ISSN: 1875-5402

Abstract

Background: Immune-related long noncoding RNAs (lncRNAs) play an important role in the development of cancer. This study aimed to identify immune-related lncRNAs in thyroid cancer (THCA) and develop a prognostic model for THCA. Methods: We downloaded immune-related gene sets from the Gene Set Enrichment Analysis (GSEA) website and obtained THCA gene expression and clinical data from The Cancer Genome Atlas (TCGA) database. Immune-related lncRNAs were then obtained by performing correlation analysis on the expression of lncRNAs and immune-related genes. A prognostic model for THCA immune-related lncRNAs was developed through univariate Cox regression and multiple Cox regression analyses. We confirmed the results in clinical samples using quantitative real-time PCR. Results: A total of 26 immune-related lncRNAs in THCA were obtained. Then we constructed a prognosis model composed of seven lncRNAs (LINC01614, AC017074.1, LINC01184, LINC00667, ACVR2B-AS1, AC090673.1, and LINC00900). Our model can be used as an independent prognostic factor. Principal component analysis displayed that the lncRNAs in the model can distinguish between high and low-risk groups. Clinical correlation analysis showed that the expression levels of AC090673.1 (P<0.05), LINC01184 (P<0.001), and LINC01614 (P<0.001) were related to disease stage, and LINC00900 (P<0.001) and LINC01614 (P<0.001) were related to T stage. We validated this model in cancer and paracancerous tissues from 24 THCA patients. Conclusion: We identified and experimentally validated seven immune-related lncRNAs that can serve as potential biomarkers for THCA prognosis.

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/content/journals/cchts/10.2174/1386207325666220223123917
2022-11-01
2025-07-12
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/content/journals/cchts/10.2174/1386207325666220223123917
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  • Article Type:
    Research Article
Keyword(s): biomarker; immune; lncRNA; prognosis; TCGA; Thyroid cancer
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