
AbstractLong noncoding RNAs (lncRNAs) are implicated in renal cell carcinoma (RCC), but remain largely unclear. Using publicly available transcriptome sequencing data from renal cancer (n = 703) and integrating bioinformatics analyses, we screened and identified a valuable lncRNA, EGFR-AS1. In our validation cohort (n = 204), EGFR-AS1 was significantly upregulated in RCC tissues (P < 0.001). Gain-of-function and loss-of-function studies showed that EGFR-AS1 promoted cell proliferation and invasion in vitro and in vivo. Based on previous studies and sequence complementarity of EGFR with EGFR-AS1, we demonstrated that EGFR-AS1 directly bound to EGFR mRNA and inhibited its degradation. Furthermore, RNA pull-down and mass spectrometry analyses showed that EGFR-AS1 interacted with HuR, which was responsible for the mRNA stability of EGFR. Multivariate analysis suggested that higher EGFR-AS1 expression predicted a poor prognosis in RCC patients (high vs low: P = 0.018, HR = 2.204, 95% CI: 1.145–4.241). In conclusion, EGFR-AS1 enhances the malignant phenotype of RCC cells by enhancing HuR-mediated mRNA stability of EGFR. Our data also provide biological rationales for EGFR-AS1 as a prognostic biomarker and a potential therapeutic target for RCC.
Male, RNA Stability, Middle Aged, Prognosis, Article, Kidney Neoplasms, ELAV-Like Protein 1, ErbB Receptors, Cell Line, Tumor, Gene Knockdown Techniques, Biomarkers, Tumor, Humans, Female, Neoplasm Invasiveness, RNA Interference, RNA, Long Noncoding, RNA, Messenger, Neoplasm Metastasis, Carcinoma, Renal Cell, Cell Proliferation, Follow-Up Studies
Male, RNA Stability, Middle Aged, Prognosis, Article, Kidney Neoplasms, ELAV-Like Protein 1, ErbB Receptors, Cell Line, Tumor, Gene Knockdown Techniques, Biomarkers, Tumor, Humans, Female, Neoplasm Invasiveness, RNA Interference, RNA, Long Noncoding, RNA, Messenger, Neoplasm Metastasis, Carcinoma, Renal Cell, Cell Proliferation, Follow-Up Studies
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
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