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Zivotic I, Kolic I, Cvetkovic M, Spasojevic-Dimitrijeva B, Zivkovic M, Stankovic A, Jovanovic I. Copy number variation analysis identifies MIR9-3 and MIR1299 as novel miRNA candidate genes for CAKUT. Pediatr Nephrol 2024; 39:2655-2665. [PMID: 38656454 DOI: 10.1007/s00467-024-06381-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 04/05/2024] [Accepted: 04/05/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND Congenital anomalies of the kidney and urinary tract (CAKUT) represent a frequent cause of pediatric kidney failure. CNVs, as a major class of genomic variations, can also affect miRNA regions. Common CNV corresponding miRNAs (cCNV-miRNAs) are functional variants regulating crucial processes which could affect urinary system development. Thus, we hypothesize that cCNV-miRNAs are associated with CAKUT occurrence and its expressivity. METHODS The extraction and filtering of common CNVs, identified in control samples deposited in publicly available databases gnomAD v2.1 and dbVar, were coupled with mapping of miRNA sequences using UCSC Genome Browser. After verification of the mapped miRNAs using referent miRBase V22.1, prioritization of cCNV-miRNA candidates has been performed using bioinformatic annotation and literature research. Genotyping of miRNA gene copy numbers for MIR9-3, MIR511, and MIR1299, was conducted on 221 CAKUT patients and 192 controls using TaqMan™ technology. RESULTS We observed significantly different MIR9-3 and MIR1299 gene copy number distribution between CAKUT patients and controls (Chi-square, P = 0.006 and P = 0.0002, respectively), while difference of MIR511 copy number distribution showed nominal significance (Chi-square, P = 0.027). The counts of less and more than two of MIR1299 copy numbers were more frequent within CAKUT patients compared to controls (P = 0.01 and P = 0.008, respectively) and also in cohort of patients with anomalies of the urinary tract compared to controls (P = 0.016 and P = 0.003, respectively). CONCLUSIONS Copy number variations of miRNA genes represent a novel avenue in clarification of the inheritance complexity in CAKUT and provide potential evidence about the association of common genetic variation with CAKUT phenotypes.
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Affiliation(s)
- Ivan Zivotic
- Department of Radiobiology and Molecular Genetics, Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, P.O. Box 522, 11001, Belgrade, Serbia
| | - Ivana Kolic
- Department of Radiobiology and Molecular Genetics, Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, P.O. Box 522, 11001, Belgrade, Serbia
| | - Mirjana Cvetkovic
- Nephrology and Urology Departments, University Children's Hospital, Belgrade, Serbia
- Medical Faculty, University of Belgrade, Belgrade, Serbia
| | - Brankica Spasojevic-Dimitrijeva
- Nephrology and Urology Departments, University Children's Hospital, Belgrade, Serbia
- Medical Faculty, University of Belgrade, Belgrade, Serbia
| | - Maja Zivkovic
- Department of Radiobiology and Molecular Genetics, Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, P.O. Box 522, 11001, Belgrade, Serbia
| | - Aleksandra Stankovic
- Department of Radiobiology and Molecular Genetics, Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, P.O. Box 522, 11001, Belgrade, Serbia
| | - Ivan Jovanovic
- Department of Radiobiology and Molecular Genetics, Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, P.O. Box 522, 11001, Belgrade, Serbia.
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Moore LL, Qu D, Sureban S, Mitchell S, Pitts K, Cooper N, Fazili J, Harty R, Oseini A, Ding K, Bronze M, Houchen CW. From Inflammation to Oncogenesis: Tracing Serum DCLK1 and miRNA Signatures in Chronic Liver Diseases. Int J Mol Sci 2024; 25:6481. [PMID: 38928187 PMCID: PMC11203803 DOI: 10.3390/ijms25126481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 06/06/2024] [Accepted: 06/09/2024] [Indexed: 06/28/2024] Open
Abstract
Chronic liver diseases, fibrosis, cirrhosis, and HCC are often a consequence of persistent inflammation. However, the transition mechanisms from a normal liver to fibrosis, then cirrhosis, and further to HCC are not well understood. This study focused on the role of the tumor stem cell protein doublecortin-like kinase 1 (DCLK1) in the modulation of molecular factors in fibrosis, cirrhosis, or HCC. Serum samples from patients with hepatic fibrosis, cirrhosis, and HCC were analyzed via ELISA or NextGen sequencing and were compared with control samples. Differentially expressed (DE) microRNAs (miRNA) identified from these patient sera were correlated with DCLK1 expression. We observed elevated serum DCLK1 levels in fibrosis, cirrhosis, and HCC patients; however, TGF-β levels were only elevated in fibrosis and cirrhosis. While DE miRNAs were identified for all three disease states, miR-12136 was elevated in fibrosis but was significantly increased further in cirrhosis. Additionally, miR-1246 and miR-184 were upregulated when DCLK1 was high, while miR-206 was downregulated. This work distinguishes DCLK1 and miRNAs' potential role in different axes promoting inflammation to tumor progression and may serve to identify biomarkers for tracking the progression from pre-neoplastic states to HCC in chronic liver disease patients as well as provide targets for treatment.
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Affiliation(s)
- Landon L. Moore
- Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (L.L.M.); (D.Q.); (S.S.); (S.M.); (K.P.); (J.F.); (R.H.); (A.O.); (M.B.)
- Department of Veterans Affairs Medical Center, Oklahoma City, OK 73104, USA
| | - Dongfeng Qu
- Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (L.L.M.); (D.Q.); (S.S.); (S.M.); (K.P.); (J.F.); (R.H.); (A.O.); (M.B.)
| | - Sripathi Sureban
- Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (L.L.M.); (D.Q.); (S.S.); (S.M.); (K.P.); (J.F.); (R.H.); (A.O.); (M.B.)
- Department of Veterans Affairs Medical Center, Oklahoma City, OK 73104, USA
| | - Stephanie Mitchell
- Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (L.L.M.); (D.Q.); (S.S.); (S.M.); (K.P.); (J.F.); (R.H.); (A.O.); (M.B.)
| | - Kamille Pitts
- Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (L.L.M.); (D.Q.); (S.S.); (S.M.); (K.P.); (J.F.); (R.H.); (A.O.); (M.B.)
- Department of Veterans Affairs Medical Center, Oklahoma City, OK 73104, USA
| | - Nasya Cooper
- Department of Natural Sciences, Langston University, Langston, OK 73050, USA;
| | - Javid Fazili
- Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (L.L.M.); (D.Q.); (S.S.); (S.M.); (K.P.); (J.F.); (R.H.); (A.O.); (M.B.)
| | - Richard Harty
- Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (L.L.M.); (D.Q.); (S.S.); (S.M.); (K.P.); (J.F.); (R.H.); (A.O.); (M.B.)
| | - Abdul Oseini
- Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (L.L.M.); (D.Q.); (S.S.); (S.M.); (K.P.); (J.F.); (R.H.); (A.O.); (M.B.)
| | - Kai Ding
- Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA;
| | - Michael Bronze
- Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (L.L.M.); (D.Q.); (S.S.); (S.M.); (K.P.); (J.F.); (R.H.); (A.O.); (M.B.)
| | - Courtney W. Houchen
- Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; (L.L.M.); (D.Q.); (S.S.); (S.M.); (K.P.); (J.F.); (R.H.); (A.O.); (M.B.)
- Department of Veterans Affairs Medical Center, Oklahoma City, OK 73104, USA
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Jan Dimberg, Shamoun L, Johansson G, Landerholm K, Wågsäter D. Emerging role and clinical implication of mRNA scavenger decapping enzyme in colorectal cancer. Pathol Res Pract 2024; 253:155009. [PMID: 38064867 DOI: 10.1016/j.prp.2023.155009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 12/02/2023] [Indexed: 01/24/2024]
Abstract
BACKGROUND Turnover of RNA is a regulated process that in part controls gene expression. This process is partly controlled by the scavenger decapping enzyme (DcpS). This study aimed to investigate the expression of DcpS in colorectal cancer (CRC) tissue, to evaluate its prognostic significance in patients with CRC and to investigate potentially targeted genes by DcpS. METHODS Immunohistochemical analysis was used to determine localization of DcpS in normal and CRC tissue, western blot analysis for quantification of protein expression and qPCR for mRNA expression in normal and CRC tissue and expression in cell lines after silencing using siRNA. Gene array analysis was used to study regulation of genes after silencing of DcpS. Proliferation was studied using BRDU. RESULTS DcpS expression was localized to the epithelial cells of both control and cancer tissue. Tumor and paired control tissue samples from 100 patients who underwent surgical resection for primary colorectal adenocarcinomas were utilized. mRNA and protein of DcpS was significantly up-regulated in the patients with CRC and the mRNA level was higher in rectal cancer tissue compared to colon cancer tissue (p < 0.05). Lowest tertile levels of DcpS mRNA in cancer tissue was associated with a decreased cancer-specific survival rate with a hazard ratio (HR) of 4.7 (95% CI=1.02-12.3), independent of disease stage. The low level of DcpS mRNA was a predictor of poorer survival in patients with rectal and disseminated cancer and in patients receiving adjuvant treatment (p < 0.05). After silencing DcpS in Caco-2 cancer cells, altered expression of several genes associated with RNA, cell cycle regulation, alternative splicing and microRNA was observed and resulted in 23% increase in proliferation. CONCLUSIONS These results indicate that DcpS has potential as a prognostic factor for CRC but further studies in a broader cohort are warranted to evaluate the significance of the findings in the clinic.
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Affiliation(s)
- Jan Dimberg
- Department of Natural Science and Biomedicine, School of Health and Welfare, Jönköping University, Jönköping, Sweden
| | - Levar Shamoun
- Department of Laboratory Medicine and Pathology, Region Jönköping County, Jönköping, Sweden
| | - Gustaf Johansson
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - Kalle Landerholm
- Department of Surgery, Region Jönköping County, Jönköping and Department of Biomedical and Clinical Science, Linköping University, Linköping, Sweden
| | - Dick Wågsäter
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden.
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Li S, Jiang F, Chen F, Deng Y, Huang H. Silencing long noncoding RNA LINC01133 suppresses pancreatic cancer through regulation of microRNA-1299-dependent IGF2BP3. J Biochem Mol Toxicol 2024; 38:e23534. [PMID: 37718503 DOI: 10.1002/jbt.23534] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 05/26/2023] [Accepted: 09/01/2023] [Indexed: 09/19/2023]
Abstract
The deregulation of long noncoding RNAs (lncRNAs) holds great potential in the treatment of multiple cancers, including pancreatic cancer (PC). However, the specific molecular mechanisms by which LINC01133 contributes to pancreatic cancer remain unknown. Subsequent to bioinformatics analysis, we predicted and analyzed differentially expressed lncRNAs, microRNAs, and genes in pancreatic cancer. We determined the expression patterns of LINC01133, miR-1299, and insulin-like growth factor 2 mRNA binding protein 3 (IGF2BP3) in pancreatic cancer cells, and validated their interactions through luciferase reporter and RNA immunoprecipitation assays. We implemented loss-of-function and gain-of-function experiments for LINC01133, miR-1299, and IGF2BP3 to assay their potential effects on pancreatic cancer cell functions. We observed high expression of LINC01133 and IGF2BP3, but low expression of miR-1299, in pancreatic cancer cells. Furthermore, we found that LINC01133 enhances IGF2BP3 through binding with miR-1299. Silencing LINC01133 or IGF2BP3 and/or overexpressing miR-1299 limited pancreatic cancer cell proliferation, invasion, epithelial-mesenchymal transition, and suppressed tumorigenic abilities in mice lacking T cells (nude mice). Overall, our findings identified that silencing LINC01133 downregulates IGF2BP3 by upregulating miR-1299 expression, ultimately leading to the prevention of pancreatic cancer.
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Affiliation(s)
- Sumei Li
- Clinical Laboratory, Huadu District People's Hospital of Guangzhou, Guangzhou, People's Republic of China
| | - Fengru Jiang
- Clinical Laboratory, Huadu District People's Hospital of Guangzhou, Guangzhou, People's Republic of China
| | - Feiyu Chen
- Clinical Laboratory, Huadu District People's Hospital of Guangzhou, Guangzhou, People's Republic of China
| | - Yinzhao Deng
- Clinical Laboratory, Huadu District People's Hospital of Guangzhou, Guangzhou, People's Republic of China
| | - Haiying Huang
- Clinical Laboratory, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
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Gómez-Acebo I, Llorca J, Alonso-Molero J, Díaz-Martínez M, Pérez-Gómez B, Amiano P, Belmonte T, Molina AJ, Burgui R, Castaño-Vinyals G, Moreno V, Molina-Barceló A, Marcos-Gragera R, Kogevinas M, Pollán M, Dierssen-Sotos T. Circulating miRNAs signature on breast cancer: the MCC-Spain project. Eur J Med Res 2023; 28:480. [PMID: 37925534 PMCID: PMC10625260 DOI: 10.1186/s40001-023-01471-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 10/23/2023] [Indexed: 11/06/2023] Open
Abstract
PURPOSE To build models combining circulating microRNAs (miRNAs) able to identify women with breast cancer as well as different types of breast cancer, when comparing with controls without breast cancer. METHOD miRNAs analysis was performed in two phases: screening phase, with a total n = 40 (10 controls and 30 BC cases) analyzed by Next Generation Sequencing, and validation phase, which included 131 controls and 269 cases. For this second phase, the miRNAs were selected combining the screening phase results and a revision of the literature. They were quantified using RT-PCR. Models were built using logistic regression with LASSO penalization. RESULTS The model for all cases included seven miRNAs (miR-423-3p, miR-139-5p, miR-324-5p, miR-1299, miR-101-3p, miR-186-5p and miR-29a-3p); which had an area under the ROC curve of 0.73. The model for cases diagnosed via screening only took in one miRNA (miR-101-3p); the area under the ROC curve was 0.63. The model for disease-free cases in the follow-up had five miRNAs (miR-101-3p, miR-186-5p, miR-423-3p, miR-142-3p and miR-1299) and the area under the ROC curve was 0.73. Finally, the model for cases with active disease in the follow-up contained six miRNAs (miR-101-3p, miR-423-3p, miR-139-5p, miR-1307-3p, miR-331-3p and miR-21-3p) and its area under the ROC curve was 0.82. CONCLUSION We present four models involving eleven miRNAs to differentiate healthy controls from different types of BC cases. Our models scarcely overlap with those previously reported.
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Affiliation(s)
- Inés Gómez-Acebo
- Department of Preventive Medicine and Public Health, University of Cantabria, Santander, Spain.
- IDIVAL, Santander, Spain.
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain.
| | - Javier Llorca
- Department of Preventive Medicine and Public Health, University of Cantabria, Santander, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | - Jessica Alonso-Molero
- Department of Preventive Medicine and Public Health, University of Cantabria, Santander, Spain
- IDIVAL, Santander, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | - Marta Díaz-Martínez
- Department of Preventive Medicine and Public Health, University of Cantabria, Santander, Spain
| | - Beatriz Pérez-Gómez
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- National Centre for Epidemiology, Carlos III Institute of Health, Madrid, Spain
| | - Pilar Amiano
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Sub Directorate for Public Health and Addictions of Gipuzkoa, Ministry of Health of the Basque Government, San Sebastian, Spain
- Epidemiology of Chronic and Communicable Diseases Group, Biodonostia Health Research Institute, San Sebastián, Spain
| | - Thalía Belmonte
- IUOPA, University of Oviedo and ISPA (Health Research Institute of Asturias), Oviedo, Spain
| | - Antonio J Molina
- Grupo de Investigación en Interacción, Gen-Ambiente-Salud (GIIGAS), Instituto de Biomedicina (IBIOMED), Universidad de León, León, Spain
| | - Rosana Burgui
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Institute of Public and Occupational Health of Navarre (ISPLN), 31003, Pamplona, Spain
| | - Gemma Castaño-Vinyals
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Víctor Moreno
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Colorectal Cancer Group, ONCOBELL Program, Instituto de Investigación Biomédica de Bellvitge (IDIBELL), Hospitalet de Llobregat, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, Hospitalet de Llobregat, Barcelona, Spain
- Department of Clinical Sciences, Faculty of Medicine and health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), University of Barcelona, Barcelona, Spain
| | - Ana Molina-Barceló
- Cancer and Public Health UnitFoundation for the Promotion of Health and Biomedical Research (FISABIO-Salud Pública) in the Valencia Region, Valencia, Spain
| | - Rafael Marcos-Gragera
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology (ICO), Girona Biomedical Research Institute (IdiBGi), Girona, Spain
| | - Manolis Kogevinas
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Marina Pollán
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- National Centre for Epidemiology, Carlos III Institute of Health, Madrid, Spain
| | - Trinidad Dierssen-Sotos
- Department of Preventive Medicine and Public Health, University of Cantabria, Santander, Spain
- IDIVAL, Santander, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain
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Geng X, Tsou JH, Stass SA, Jiang F. Utilizing MiSeq Sequencing to Detect Circulating microRNAs in Plasma for Improved Lung Cancer Diagnosis. Int J Mol Sci 2023; 24:10277. [PMID: 37373422 PMCID: PMC10299334 DOI: 10.3390/ijms241210277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 06/14/2023] [Accepted: 06/15/2023] [Indexed: 06/29/2023] Open
Abstract
Non-small cell lung cancer (NSCLC) is a major contributor to cancer-related deaths, but early detection can reduce mortality. NSCLC comprises mainly adenocarcinoma (AC) and squamous cell carcinoma (SCC). Circulating microRNAs (miRNAs) in plasma have emerged as promising biomarkers for NSCLC. However, existing techniques for analyzing miRNAs have limitations, such as restricted target detection and time-consuming procedures. The MiSeqDx System has been shown to overcome these limitations, making it a promising tool for routine clinical settings. We investigated whether the MiSeqDx could profile cell-free circulating miRNAs in plasma and diagnose NSCLC. We sequenced RNA from the plasma of patients with AC and SCC and from cancer-free smokers using the MiSeqDx to profile and compare miRNA expressions. The MiSeqDx exhibits high speed and accuracy when globally analyzing plasma miRNAs. The entire workflow, encompassing RNA to data analysis, was completed in under three days. We also identified panels of plasma miRNA biomarkers that can diagnose NSCLC with 67% sensitivity and 68% specificity, and detect SCC with 90% sensitivity and 94% specificity, respectively. This study is the first to demonstrate that rapid profiling of plasma miRNAs using the MiSeqDx has the potential to offer a straightforward and effective method for the early detection and classification of NSCLC.
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Affiliation(s)
| | | | | | - Feng Jiang
- Department of Pathology, University of Maryland School of Medicine, 10 South Pine Street, MSTF 7th Floor, Baltimore, MD 21201-1192, USA
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Zou C, Li X, Wei H, Wu S, Song J, Tang Z, Luo H, Lv X, Ai Y. Circular GOLPH3 RNA exerts oncogenic effects in vitro by regulating the miRNA-1299/LIF axis in oral squamous cell carcinoma. Bioengineered 2022; 13:11012-11025. [PMID: 35481460 PMCID: PMC9208457 DOI: 10.1080/21655979.2022.2067288] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Circular RNAs, which are a novel subclass of noncoding RNAs, are reported to be involved in various biological processes. Aberrant expression of circular RNAs may promote cancer progression. The function of circular GOLPH3 RNA (circGOLPH3) in oral squamous cell carcinoma (OSCC) is unclear. In this study, the circGOLPH3 levels in OSCC cell lines were determined using quantitative real-time polymerase chain reaction (qRT-PCR). Gain-of-function and loss-of-function experiments were performed to evaluate the roles of circGOLPH3 in OSCC. Cell counting kit 8, migration, and invasion assays were performed to determine the functions of circGOLPH3. The mechanism of circGOLPH3 in OSCC was investigated using qRT-PCR, western blotting, luciferase activity, and RNA pull-down analyses. Furthermore, the function of circGOLPH3 in vivo was evaluated. circGOLPH3 derived from GOLPH3 was mainly localized to the cytoplasm and exhibited high stability. The expression of circGOLPH3 was upregulated in OSCC cells. circGOLPH3 promoted the growth of OSCC in vitro and in vivo. Additionally, circGOLPH3 upregulated OSCC cell migration and invasion. Mechanistically, circGOLPH3 functioned as a microRNA sponge and downregulated miR-1299 expression. miR-1299 downregulated the expression of LIF by targeting its 3’-untranslated region. Inhibition of the circGOLPH3/miR-1299/LIF axis suppressed the growth, migration, and invasion of OSCC cells. These findings indicate that the circGOLPH3/miR-1299/LIF axis promotes OSCC cell growth, migration, and invasion and that this axis is a potential therapeutic target for OSCC.
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Affiliation(s)
- Chen Zou
- School of Medicine, Foshan Stomatological Hospital, Foshan University, Foshan, Guangdong, China
| | - Xia Li
- School of Medicine, Foshan Stomatological Hospital, Foshan University, Foshan, Guangdong, China
| | - Haigang Wei
- School of Medicine, Foshan Stomatological Hospital, Foshan University, Foshan, Guangdong, China
| | - Siyuan Wu
- School of Medicine, Foshan Stomatological Hospital, Foshan University, Foshan, Guangdong, China
| | - Jing Song
- School of Medicine, Foshan Stomatological Hospital, Foshan University, Foshan, Guangdong, China
| | - Zhe Tang
- School of Medicine, Foshan Stomatological Hospital, Foshan University, Foshan, Guangdong, China
| | - Hailing Luo
- School of Medicine, Foshan Stomatological Hospital, Foshan University, Foshan, Guangdong, China
| | - Xiaozhi Lv
- Department of Oral and Maxillofacial Surgery, NanFang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Yilong Ai
- School of Medicine, Foshan Stomatological Hospital, Foshan University, Foshan, Guangdong, China
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Chai J, Qin L, Zhang G, Hua P, Jin C. Long non-coding MELTF Antisense RNA 1 promotes and prognosis the progression of non-small cell lung cancer by targeting miR-1299. Bioengineered 2022; 13:10594-10604. [PMID: 35441579 PMCID: PMC9161893 DOI: 10.1080/21655979.2022.2063563] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
This paper explored the influence of long non-coding MELTF Antisense RNA 1 (lncRNA MELTF-AS1) on the prognosis of non-small cell lung cancer (NSCLC), and further deepened the understanding of NSCLC. A total of 130 patients with NSCLC participated in current study to detect and compare lncRNA MELTF-AS1 expression in cancer and normal tissues. Kaplan-Meier analysis and log-rank test were chosen to analyze the effect of MELTF-AS1 expression on the survival of patients within 5 years. The correlation between the expression of MELTF-AS1 and the clinical characteristics of NSCLC patients was analyzed, and the prognostic factors of NSCLC were analyzed by multivariate Cox regression. Subsequently, MELTF-AS1 expression in NSCLC cells were detected. The Cell Counting Kit-8 (CCK-8) and Transwell methods were selected to study the proliferation, migration capability and invasion level of NSCLC cells that silencing MELTF-AS1. Through the luciferase activity assay to explore the relationship between MELTF-AS1 and miR-1299, to further understand the effect of silencing MELTF-AS1 on NSCLC. MELTF-AS1 was increased in NSCLC tissues and cells. Silencing MELTF-AS1 suppressed the proliferation ability, migration capability and invasion level of NSCLC cells, which means that low expression of MELTF-AS1 may be more conducive to patient survival. In addition, through luciferase activity analysis and bioinformatics analysis, MELTF-AS1 has a negative effect on miR-1299, and silencing MELTF-AS1 enhanced miR-1299 expression in NSCLC cells. MELTF-AS1 is highly likely to be a promising prognostic biomarker, and associated with the progression of NSCLC.
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Affiliation(s)
- Jin Chai
- Department of Pharmacy, The Second Hospital of Jilin University, Changchun, Jilin, China
| | - Li Qin
- Department of Thoracic Surgery, The Second Hospital of Jilin University, Changchun, Jilin, China
| | - Guangxin Zhang
- Department of Thoracic Surgery, The Second Hospital of Jilin University, Changchun, Jilin, China
| | - Peiyan Hua
- Department of Thoracic Surgery, The Second Hospital of Jilin University, Changchun, Jilin, China
| | - Chengyan Jin
- Department of Thoracic Surgery, The Second Hospital of Jilin University, Changchun, Jilin, China
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