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Wang L, Yang D, Tian R, Zhang H. NEAT1 promotes retinoblastoma progression via modulating miR-124. J Cell Biochem 2019; 120:15585-15593. [PMID: 31038819 PMCID: PMC6767513 DOI: 10.1002/jcb.28825] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Revised: 01/19/2019] [Accepted: 01/24/2019] [Indexed: 12/20/2022]
Abstract
The long noncoding RNA nuclear-enriched abundant transcript 1 (NEAT1) is reportedly involved in the initiation and progression of cancers of several types. However, the role, expression status, and the detailed mechanism of NEAT1 in retinoblastoma (RB) yet need to be unraveled. We explored the role and the mechanism of NEAT1 activity in RB. Our data show enhanced NEAT1 expression in RB-affected tissues compared with the corresponding control. Functional experiments reveal that a NEAT1 knockdown in RB cells significantly inhibits proliferation, cycle progression, and facilitates apoptosis and caspase-3 and -9 activities. Besides that, miR-124 was predicted to be a target of NEAT1 and its reduced expression, as well as the inverse correlation of NEAT1 with miR-124, was observed in RB-affected tissues. Further, luciferase and RNA immunoprecipitation (RIP) assays confirmed the interaction between NEAT1 and miR-124. Rescue experiments confirmed that the inhibition of miR-124 could reverse the effect of NEAT1 on RB cell proliferation, cycle arrest, apoptosis, and caspase-3 and -9 activities. Thus, NEAT1 promotes RB progression by sponging miR-124, providing a therapeutic target for RB.
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Affiliation(s)
- Lufei Wang
- Department of Ophthalmology, The Second Hospital of Jilin University, Changchun, Jilin, People's Republic of China
| | - Defeng Yang
- Department of Ophthalmology, The Second Hospital of Jilin University, Changchun, Jilin, People's Republic of China
| | - Rui Tian
- Department of Ophthalmology, The Second Hospital of Jilin University, Changchun, Jilin, People's Republic of China
| | - Hui Zhang
- Department of Ophthalmology, The Second Hospital of Jilin University, Changchun, Jilin, People's Republic of China
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Gao C, Zhuang J, Zhou C, Li H, Liu C, Liu L, Feng F, Liu R, Sun C. SNP mutation-related genes in breast cancer for monitoring and prognosis of patients: A study based on the TCGA database. Cancer Med 2019; 8:2303-2312. [PMID: 30883028 PMCID: PMC6537087 DOI: 10.1002/cam4.2065] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 02/07/2019] [Accepted: 02/12/2019] [Indexed: 12/28/2022] Open
Abstract
Advances in cancer biology have allowed early diagnosis and more comprehensive treatment of breast cancer (BC). However, it remains the most common cause of cancer death in women worldwide because of its strong invasiveness and metastasis. In‐depth study of the molecular pathogenesis of BC and of relevant prognostic markers would improve the quality of life and prognosis of patients. In this study, bioinformatics analysis of SNP‐related data from BC patients provided in the TCGA database revealed that six mutant genes (NCOR1, GATA3, CDH1, ATM, AKT1, and PTEN) were significantly associated with the corresponding expression levels of the proteins. The proteins were involved in multiple pathways related to the development of cancer, including the PI3K‐Akt signaling pathway, pertinent microRNAs, and the MAPK signaling pathway. In addition, overall survival and recurrence‐free survival analysis revealed the close associations of the expression of GATA3, NCOR1, CDH1, and ATM with survival of BC patients. Therefore, detecting these gene mutations and exploring their corresponding expression could be valuable in predicting the prognosis of patients. The results of the high‐throughput data mining provide important fundamental bioinformatics information and a relevant theoretical basis for further exploring the molecular pathogenesis of BC and assessing the prognosis of patients.
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Affiliation(s)
- Chundi Gao
- College of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, PR China
| | - Jing Zhuang
- Department of Oncology, Weifang Traditional Chinese Hospital, Weifang, PR China.,Department of Oncology, Affilited Hospital of Weifang Medical University, Weifang, PR China
| | - Chao Zhou
- Department of Oncology, Weifang Traditional Chinese Hospital, Weifang, PR China.,Department of Oncology, Affilited Hospital of Weifang Medical University, Weifang, PR China
| | - Huayao Li
- College of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, PR China
| | - Cun Liu
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, PR China
| | - Lijuan Liu
- Department of Oncology, Weifang Traditional Chinese Hospital, Weifang, PR China.,Department of Oncology, Affilited Hospital of Weifang Medical University, Weifang, PR China
| | - Fubin Feng
- Department of Oncology, Weifang Traditional Chinese Hospital, Weifang, PR China.,Department of Oncology, Affilited Hospital of Weifang Medical University, Weifang, PR China
| | - Ruijuan Liu
- Department of Oncology, Weifang Traditional Chinese Hospital, Weifang, PR China.,Department of Oncology, Affilited Hospital of Weifang Medical University, Weifang, PR China
| | - Changgang Sun
- Department of Oncology, Weifang Traditional Chinese Hospital, Weifang, PR China.,Department of Oncology, Affilited Hospital of Weifang Medical University, Weifang, PR China
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