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Raju GSR, Pavitra E, Bandaru SS, Varaprasad GL, Nagaraju GP, Malla RR, Huh YS, Han YK. HOTAIR: a potential metastatic, drug-resistant and prognostic regulator of breast cancer. Mol Cancer 2023; 22:65. [PMID: 36997931 PMCID: PMC10061914 DOI: 10.1186/s12943-023-01765-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 03/14/2023] [Indexed: 04/01/2023] Open
Abstract
HOX transcript antisense intergenic RNA (HOTAIR) is an oncogenic non-coding RNA whose expression is strongly correlated with the tumor grade and prognosis of a variety of carcinomas including breast cancer (BC). HOTAIR regulates various target genes via sponging and epigenetic mechanisms and controls various oncogenic cellular and signaling mechanisms including metastasis and drug resistance. In BC cells, HOTAIR expression is regulated by a variety of transcriptional and epigenetic mechanisms. In this review, we describe the regulatory mechanisms that govern HOTAIR expression during cancer development and explore how HOTAIR drives BC development, metastasis, and drug resistance. In the final section of this review, we focus on the role of HOTAIR in BC management, therapeutic treatment, and prognosis, highlighting its potential therapeutic applications.
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Affiliation(s)
- Ganji Seeta Rama Raju
- Department of Energy and Materials Engineering, Dongguk University-Seoul, Seoul, 04620, Republic of Korea
| | - Eluri Pavitra
- NanoBio High-Tech Materials Research Center, Biological Sciences and Bioengineering, Inha University, Incheon, 22212, Republic of Korea
| | | | - Ganji Lakshmi Varaprasad
- NanoBio High-Tech Materials Research Center, Biological Sciences and Bioengineering, Inha University, Incheon, 22212, Republic of Korea
| | | | - Rama Rao Malla
- Cancer Biology Laboratory, Department of Biochemistry and Bioinformatics, GIS, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, 530045, India.
| | - Yun Suk Huh
- NanoBio High-Tech Materials Research Center, Biological Sciences and Bioengineering, Inha University, Incheon, 22212, Republic of Korea.
| | - Young-Kyu Han
- Department of Energy and Materials Engineering, Dongguk University-Seoul, Seoul, 04620, Republic of Korea.
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Marino GB, Wojciechowicz ML, Clarke DJB, Kuleshov MV, Xie Z, Jeon M, Lachmann A, Ma’ayan A. lncHUB2: aggregated and inferred knowledge about human and mouse lncRNAs. Database (Oxford) 2023; 2023:7069621. [PMID: 36869839 PMCID: PMC9985331 DOI: 10.1093/database/baad009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 01/25/2023] [Accepted: 02/11/2023] [Indexed: 03/05/2023]
Abstract
Long non-coding ribonucleic acids (lncRNAs) account for the largest group of non-coding RNAs. However, knowledge about their function and regulation is limited. lncHUB2 is a web server database that provides known and inferred knowledge about the function of 18 705 human and 11 274 mouse lncRNAs. lncHUB2 produces reports that contain the secondary structure fold of the lncRNA, related publications, the most correlated coding genes, the most correlated lncRNAs, a network that visualizes the most correlated genes, predicted mouse phenotypes, predicted membership in biological processes and pathways, predicted upstream transcription factor regulators, and predicted disease associations. In addition, the reports include subcellular localization information; expression across tissues, cell types, and cell lines, and predicted small molecules and CRISPR knockout (CRISPR-KO) genes prioritized based on their likelihood to up- or downregulate the expression of the lncRNA. Overall, lncHUB2 is a database with rich information about human and mouse lncRNAs and as such it can facilitate hypothesis generation for many future studies. The lncHUB2 database is available at https://maayanlab.cloud/lncHUB2. Database URL: https://maayanlab.cloud/lncHUB2.
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Affiliation(s)
- Giacomo B Marino
- Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Megan L Wojciechowicz
- Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Daniel J B Clarke
- Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Maxim V Kuleshov
- Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Zhuorui Xie
- Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Minji Jeon
- Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Alexander Lachmann
- Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
| | - Avi Ma’ayan
- *Corresponding author: Tel: +001-212-241-1153; Fax: +001-212-849-2456;
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Sun J, Li X, Yin J, Chen X, Zhu Z, Wu R, Yu E, Mao Z. Long non coding RNA COX10-DT promotes the progression of breast cancer via the COX10-DT/miR-206/BDNF axis. Biochem Biophys Res Commun 2023; 639:46-53. [PMID: 36463760 DOI: 10.1016/j.bbrc.2022.11.057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 11/17/2022] [Indexed: 11/22/2022]
Abstract
Long noncoding RNAs (lncRNAs) are emerging as critical regulators in the biological development of breast cancer. In this study, we aimed to determine the roles and mechanisms of the lncRNA COX10 divergent transcript (COX10-DT) in breast cancer progression. The relative expression level of COX10-DT was calculated in matched breast cancer tissues and adjacent normal tissues using quantitative real-time PCR. Gain-of-function and loss-of-function approaches further revealed the functions and mechanisms of COX10-DT in breast cancer cells. Clinically, we found that the lncRNA COX10-DT was commonly overexpressed in breast cancer tissues compared to paired peritumoural tissues. Functionally, the lncRNA COX10-DT might promote the proliferation and migration of breast cancer cells. Mechanistically, the lncRNA COX10-DT did not play a role by regulating the expression of its divergent gene COX10 but acted as a competitive endogenous RNA (ceRNA) by directly sponging miR-206, which further regulated the expression of brain-derived neurotrophic factor (BDNF). Taken together, our results proved that the lncRNA COX10-DT could function via the COX10-DT/miR-206/BDNF axis, thereby promoting the development of breast cancer. These findings indicated that the lncRNA COX10-DT might be a potential biomarker and therapeutic target for breast cancer.
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Affiliation(s)
- Jie Sun
- Department of Breast Surgery of the First Affiliated Hospital, Suzhou Medical College, Soochow University, Suzhou, 215006, China
| | - Xiaohua Li
- Department of Breast Surgery of Wuzhong People's Hospital, Suzhou, 215218, China
| | - Jun Yin
- Department of General Surgery of the First Affiliated Hospital, Suzhou Medical College, Soochow University, Suzhou, 215006, China
| | - Xin Chen
- Department of General Surgery of the First Affiliated Hospital, Suzhou Medical College, Soochow University, Suzhou, 215006, China
| | - Zheng Zhu
- Department of General Surgery of the First Affiliated Hospital, Suzhou Medical College, Soochow University, Suzhou, 215006, China
| | - Runda Wu
- Department of General Surgery of the First Affiliated Hospital, Suzhou Medical College, Soochow University, Suzhou, 215006, China
| | - EnQiao Yu
- Department of Breast Surgery of the First Affiliated Hospital, Suzhou Medical College, Soochow University, Suzhou, 215006, China.
| | - Zhongqi Mao
- Department of General Surgery of the First Affiliated Hospital, Suzhou Medical College, Soochow University, Suzhou, 215006, China.
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Tumor Progression, Microenvironments, and Therapeutics. LIFE (BASEL, SWITZERLAND) 2022; 12:life12101599. [PMID: 36295034 PMCID: PMC9605304 DOI: 10.3390/life12101599] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 10/11/2022] [Indexed: 11/06/2022]
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