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Pathak AK, Kural S, Singh S, Kumar L, Yadav M, Gupta M, Das P, Jain G. Development of a robust and generalizable algorithm "gQuant" for accurate normalizer gene selection in qRT-PCR analysis. Sci Rep 2024; 14:18774. [PMID: 39138232 PMCID: PMC11322313 DOI: 10.1038/s41598-024-66770-y] [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: 02/01/2024] [Accepted: 07/03/2024] [Indexed: 08/15/2024] Open
Abstract
The emergent role of nucleic acid-based biomarkers-microRNAs(miRNAs), long non-coding RNAs(lncRNAs), and messenger RNAs(mRNAs), is becoming increasingly prominent in disease diagnostics and risk assessment. qRT-PCR is the primary analytical method for quantitative measurement of biomarkers. Yet, the relative infancy of non-coding RNAs recognition as biomarkers poses a challenge due to the absence of a consensus on a universally accepted normalizer gene, an absolute requirement for accurate quantification. Current tools normalizer selection are fraught with statistical limitations and suboptimal graphical user interface for data visualisation. These deficiencies underscore the necessity for a balanced tool tailored to handle qRT-PCR datasets. Addressing the identified challenges, we have developed 'gQuant' tool crafted to address these limitations. We employed voting classifiers that combine predictions from multiple statistical methods. Tool's efficacy was validated through different available and in house data derived from urinary exosomal miRNAs datasets. Comparative analysis with existing tools revealed that their integrated methodologies could skew the ranking of normalizer genes, whereas 'gQuant' consistently yielded rankings characterised by lower standard-deviation, reduced covariance, and enhanced kernel density estimation values. Given 'gQuant's' promising performance, normalizer gene identification will be greatly improved, improving precision of gene expression quantification in a variety of research scenarios. The gQuant tool developed for this study is available for public use and can be accessed at [ https://github.com/ABHAYHBB/gQuant-Tool ]."
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Affiliation(s)
- Abhay Kumar Pathak
- DST-CIMS, Institute of Science, Banaras Hindu University, Varanasi, India
| | - Sukhad Kural
- Department of Urology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Shweta Singh
- Centre for Genetic Disorders, Institute of Science, Banaras Hindu University, Varanasi, India
| | - Lalit Kumar
- Department of Urology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Mahima Yadav
- Department of Pathology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Manjari Gupta
- DST-CIMS, Institute of Science, Banaras Hindu University, Varanasi, India
| | - Parimal Das
- Centre for Genetic Disorders, Institute of Science, Banaras Hindu University, Varanasi, India
| | - Garima Jain
- Centre for Genetic Disorders, Institute of Science, Banaras Hindu University, Varanasi, India.
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Evin D, Evinová A, Baranovičová E, Šarlinová M, Jurečeková J, Kaplán P, Poláček H, Halašová E, Dušenka R, Briš L, Brožová MK, Sivoňová MK. Integrative Metabolomic Analysis of Serum and Selected Serum Exosomal microRNA in Metastatic Castration-Resistant Prostate Cancer. Int J Mol Sci 2024; 25:2630. [PMID: 38473877 DOI: 10.3390/ijms25052630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 02/19/2024] [Accepted: 02/22/2024] [Indexed: 03/14/2024] Open
Abstract
Metastatic castration-resistant prostate cancer (mCRPC) remains a lethal disease due to the absence of effective therapies. A more comprehensive understanding of molecular events, encompassing the dysregulation of microRNAs (miRs) and metabolic reprogramming, holds the potential to unveil precise mechanisms underlying mCRPC. This study aims to assess the expression of selected serum exosomal miRs (miR-15a, miR-16, miR-19a-3p, miR-21, and miR-141a-3p) alongside serum metabolomic profiling and their correlation in patients with mCRPC and benign prostate hyperplasia (BPH). Blood serum samples from mCRPC patients (n = 51) and BPH patients (n = 48) underwent metabolome analysis through 1H-NMR spectroscopy. The expression levels of serum exosomal miRs in mCRPC and BPH patients were evaluated using a quantitative real-time polymerase chain reaction (qRT-PCR). The 1H-NMR metabolomics analysis revealed significant alterations in lactate, acetate, citrate, 3-hydroxybutyrate, and branched-chain amino acids (BCAAs, including valine, leucine, and isoleucine) in mCRPC patients compared to BPH patients. MiR-15a, miR-16, miR-19a-3p, and miR-21 exhibited a downregulation of more than twofold in the mCRPC group. Significant correlations were predominantly observed between lactate, citrate, acetate, and miR-15a, miR-16, miR-19a-3p, and miR-21. The importance of integrating metabolome analysis of serum with selected serum exosomal miRs in mCRPC patients has been confirmed, suggesting their potential utility for distinguishing of mCRPC from BPH.
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Affiliation(s)
- Daniel Evin
- Department of Medical Biochemistry, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 03601 Martin, Slovakia
- Clinic of Nuclear Medicine, Jessenius Faculty of Medicine in Martin, University Hospital in Martin, Comenius University in Bratislava, 03601 Martin, Slovakia
| | - Andrea Evinová
- Biomedical Center Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 03601 Martin, Slovakia
| | - Eva Baranovičová
- Biomedical Center Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 03601 Martin, Slovakia
| | - Miroslava Šarlinová
- Biomedical Center Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 03601 Martin, Slovakia
| | - Jana Jurečeková
- Department of Medical Biochemistry, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 03601 Martin, Slovakia
| | - Peter Kaplán
- Department of Medical Biochemistry, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 03601 Martin, Slovakia
| | - Hubert Poláček
- Clinic of Nuclear Medicine, Jessenius Faculty of Medicine in Martin, University Hospital in Martin, Comenius University in Bratislava, 03601 Martin, Slovakia
| | - Erika Halašová
- Biomedical Center Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 03601 Martin, Slovakia
| | - Róbert Dušenka
- Clinic of Urology, Jessenius Faculty of Medicine in Martin, University Hospital in Martin, Comenius University in Bratislava, 03601 Martin, Slovakia
| | - Lukáš Briš
- Clinic of Urology, Jessenius Faculty of Medicine in Martin, University Hospital in Martin, Comenius University in Bratislava, 03601 Martin, Slovakia
| | - Martina Knoško Brožová
- Department of Medical Biochemistry, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 03601 Martin, Slovakia
| | - Monika Kmeťová Sivoňová
- Department of Medical Biochemistry, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 03601 Martin, Slovakia
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Albaradei S, Alganmi N, Albaradie A, Alharbi E, Motwalli O, Thafar MA, Gojobori T, Essack M, Gao X. A deep learning model predicts the presence of diverse cancer types using circulating tumor cells. Sci Rep 2023; 13:21114. [PMID: 38036622 PMCID: PMC10689793 DOI: 10.1038/s41598-023-47805-2] [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: 07/18/2023] [Accepted: 11/18/2023] [Indexed: 12/02/2023] Open
Abstract
Circulating tumor cells (CTCs) are cancer cells that detach from the primary tumor and intravasate into the bloodstream. Thus, non-invasive liquid biopsies are being used to analyze CTC-expressed genes to identify potential cancer biomarkers. In this regard, several studies have used gene expression changes in blood to predict the presence of CTC and, consequently, cancer. However, the CTC mRNA data has not been used to develop a generic approach that indicates the presence of multiple cancer types. In this study, we developed such a generic approach. Briefly, we designed two computational workflows, one using the raw mRNA data and deep learning (DL) and the other exploiting five hub gene ranking algorithms (Degree, Maximum Neighborhood Component, Betweenness Centrality, Closeness Centrality, and Stress Centrality) with machine learning (ML). Both workflows aim to determine the top genes that best distinguish cancer types based on the CTC mRNA data. We demonstrate that our automated, robust DL framework (DNNraw) more accurately indicates the presence of multiple cancer types using the CTC gene expression data than multiple ML approaches. The DL approach achieved average precision of 0.9652, recall of 0.9640, f1-score of 0.9638 and overall accuracy of 0.9640. Furthermore, since we designed multiple approaches, we also provide a bioinformatics analysis of the gene commonly identified as top-ranked by the different methods. To our knowledge, this is the first study wherein a generic approach has been developed to predict the presence of multiple cancer types using raw CTC mRNA data, as opposed to other models that require a feature selection step.
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Affiliation(s)
- Somayah Albaradei
- Computer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, 80200, Jeddah, Saudi Arabia
| | - Nofe Alganmi
- Computer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, 80200, Jeddah, Saudi Arabia
- Center of Excellence in Genomic Medicine Research, King Abdulaziz University, 21589, Jeddah, Saudi Arabia
| | | | - Eaman Alharbi
- Computer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, 80200, Jeddah, Saudi Arabia
| | - Olaa Motwalli
- College of Computing and Informatics, Saudi Electronic University (SEU), Madinah, Saudi Arabia
| | - Maha A Thafar
- College of Computers and Information Technology, Taif University, Taif, Saudi Arabia
| | - Takashi Gojobori
- Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
- Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Magbubah Essack
- Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
- Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
| | - Xin Gao
- Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
- Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
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Zenner ML, Kirkpatrick B, Leonardo TR, Schlicht MJ, Saldana AC, Loitz C, Valyi‐Nagy K, Maienschein‐Cline M, Gann PH, Abern M, Nonn L. Prostate-derived circulating microRNAs add prognostic value to prostate cancer risk calculators. JOURNAL OF EXTRACELLULAR BIOLOGY 2023; 2:e122. [PMID: 38496750 PMCID: PMC10938556 DOI: 10.1002/jex2.122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 09/18/2023] [Accepted: 10/11/2023] [Indexed: 03/19/2024]
Abstract
Prostate cancer is the second leading cause of malignancy-related deaths among American men. Active surveillance is a safe option for many men with less aggressive disease, yet definitively determining low-risk cancer is challenging with biopsy alone. Herein, we sought to identify prostate-derived microRNAs in patient sera and serum extracellular vesicles, and determine if those microRNAs improve upon the current clinical risk calculators for prostate cancer prognosis before and after biopsy. Prostate-derived intracellular and extracellular vesicle-contained microRNAs were identified by small RNA sequencing of prostate cancer patient explants and primary cells. Abundant microRNAs were included in a custom microRNA PCR panel that was queried in whole serum and serum extracellular vesicles from a diverse cohort of men diagnosed with prostate cancer. The levels of these circulating microRNAs significantly differed between indolent and aggressive disease and improved the area under the curve for pretreatment nomograms of prostate cancer disease risk. The microRNAs within the extracellular vesicles were the most informative and improved the AUC to 0.739 compared to the existing nomogram alone, which has an AUC of 0.561. The microRNAs in the whole serum improved it to AUC 0.675. In summary, quantifying microRNAs circulating in extracellular vesicles is a clinically feasible assay that may provide additional information for assessing prostate cancer risk stratification.
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Affiliation(s)
- Morgan L. Zenner
- Department of PathologyUniversity of Illinois at ChicagoChicagoIllinoisUSA
- University of Illinois Cancer CenterChicagoIllinoisUSA
| | - Brenna Kirkpatrick
- Department of PathologyUniversity of Illinois at ChicagoChicagoIllinoisUSA
- University of Illinois Cancer CenterChicagoIllinoisUSA
| | - Trevor R. Leonardo
- Department of Microbiology and ImmunologyUniversity of Illinois ChicagoChicagoIllinoisUSA
- Department of Periodontics, Center for Wound Healing and Tissue RegenerationUniversity of Illinois ChicagoChicagoIllinoisUSA
| | | | - Alejandra Cavazos Saldana
- Department of PathologyUniversity of Illinois at ChicagoChicagoIllinoisUSA
- University of Illinois Cancer CenterChicagoIllinoisUSA
| | - Candice Loitz
- Department of PathologyUniversity of Illinois at ChicagoChicagoIllinoisUSA
- University of Illinois Cancer CenterChicagoIllinoisUSA
| | - Klara Valyi‐Nagy
- Department of PathologyUniversity of Illinois at ChicagoChicagoIllinoisUSA
| | - Mark Maienschein‐Cline
- Research Resource Core BioinformaticsUniversity of Illinois at ChicagoChicagoIllinoisUSA
| | - Peter H. Gann
- Department of PathologyUniversity of Illinois at ChicagoChicagoIllinoisUSA
- University of Illinois Cancer CenterChicagoIllinoisUSA
| | - Michael Abern
- Department of UrologyUniversity of Illinois at ChicagoChicagoIllinoisUSA
| | - Larisa Nonn
- Department of PathologyUniversity of Illinois at ChicagoChicagoIllinoisUSA
- University of Illinois Cancer CenterChicagoIllinoisUSA
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5
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Rafikova G, Gilyazova I, Enikeeva K, Pavlov V, Kzhyshkowska J. Prostate Cancer: Genetics, Epigenetics and the Need for Immunological Biomarkers. Int J Mol Sci 2023; 24:12797. [PMID: 37628978 PMCID: PMC10454494 DOI: 10.3390/ijms241612797] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 08/08/2023] [Accepted: 08/10/2023] [Indexed: 08/27/2023] Open
Abstract
Epidemiological data highlight prostate cancer as a significant global health issue, with high incidence and substantial impact on patients' quality of life. The prevalence of this disease is associated with various factors, including age, heredity, and race. Recent research in prostate cancer genetics has identified several genetic variants that may be associated with an increased risk of developing the disease. However, despite the significance of these findings, genetic markers for prostate cancer are not currently utilized in clinical practice as reliable indicators of the disease. In addition to genetics, epigenetic alterations also play a crucial role in prostate cancer development. Aberrant DNA methylation, changes in chromatin structure, and microRNA (miRNA) expression are major epigenetic events that influence oncogenesis. Existing markers for prostate cancer, such as prostate-specific antigen (PSA), have limitations in terms of sensitivity and specificity. The cost of testing, follow-up procedures, and treatment for false-positive results and overdiagnosis contributes to the overall healthcare expenditure. Improving the effectiveness of prostate cancer diagnosis and prognosis requires either narrowing the risk group by identifying new genetic factors or enhancing the sensitivity and specificity of existing markers. Immunological biomarkers (both circulating and intra-tumoral), including markers of immune response and immune dysfunction, represent a potentially useful area of research for enhancing the diagnosis and prognosis of prostate cancer. Our review emphasizes the need for developing novel immunological biomarkers to improve the diagnosis, prognosis, and management of prostate cancer. We highlight the most recent achievements in the identification of biomarkers provided by circulating monocytes and tumor-associated macrophages (TAMs). We highlight that monocyte-derived and TAM-derived biomarkers can enable to establish the missing links between genetic predisposition, hormonal metabolism and immune responses in prostate cancer.
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Affiliation(s)
- Guzel Rafikova
- Institute of Urology and Clinical Oncology, Bashkir State Medical University, 450077 Ufa, Russia (K.E.); (V.P.)
| | - Irina Gilyazova
- Institute of Urology and Clinical Oncology, Bashkir State Medical University, 450077 Ufa, Russia (K.E.); (V.P.)
- Institute of Biochemistry and Genetics, Ufa Federal Research Center of the Russian Academy of Sciences, 450054 Ufa, Russia
| | - Kadriia Enikeeva
- Institute of Urology and Clinical Oncology, Bashkir State Medical University, 450077 Ufa, Russia (K.E.); (V.P.)
| | - Valentin Pavlov
- Institute of Urology and Clinical Oncology, Bashkir State Medical University, 450077 Ufa, Russia (K.E.); (V.P.)
| | - Julia Kzhyshkowska
- Laboratory for Translational Cellular and Molecular Biomedicine, Tomsk State University, 634050 Tomsk, Russia
- Genetic Technology Laboratory, Siberian State Medical University, 634050 Tomsk, Russia
- Institute of Transfusion Medicine and Immunology, Mannheim Institute of Innate Immunosciences (MI3), Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
- German Red Cross Blood Service Baden-Württemberg—Hessen, 68167 Mannheim, Germany
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6
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Zenner ML, Kirkpatrick B, Leonardo TR, Schlicht MJ, Saldana AC, Loitz C, Valyi-Nagy K, Maienschein-Cline M, Gann PH, Abern M, Nonn L. Prostate-derived circulating microRNAs add prognostic value to prostate cancer risk calculators. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.10.540236. [PMID: 37214878 PMCID: PMC10197676 DOI: 10.1101/2023.05.10.540236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Prostate cancer is the second leading cause of malignancy-related deaths among American men. Active surveillance is a safe option for many men with less aggressive disease, yet definitively determining low-risk cancer is challenging with biopsy alone. Herein, we sought to identify prostate-derived microRNAs in patient sera and serum extracellular vesicles, and determine if those microRNAs improve upon the current clinical risk calculators for prostate cancer prognosis before and after biopsy. Prostate-derived intracellular and extracellular vesicle-contained microRNAs were identified by small RNA sequencing of prostate cancer patient explants and primary cells. Abundant microRNAs were included in a custom microRNA PCR panel that was queried in whole serum and serum extracellular vesicles from a diverse cohort of men diagnosed with prostate cancer. The levels of these circulating microRNAs significantly differed between indolent and aggressive disease and improved the area under the curve for pretreatment nomograms of prostate cancer disease risk. The microRNAs within the extracellular vesicles had improved prognostic value compared to the microRNAs in the whole serum. In summary, quantifying microRNAs circulating in extracellular vesicles is a clinically feasible assay that may provide additional information for assessing prostate cancer risk stratification.
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Juracek J, Madrzyk M, Stanik M, Ruckova M, Trachtova K, Malcikova H, Lzicarova E, Barth DA, Pichler M, Slaby O. A tissue miRNA expression pattern is associated with disease aggressiveness of localized prostate cancer. Prostate 2023; 83:340-351. [PMID: 36478451 DOI: 10.1002/pros.24466] [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: 08/21/2022] [Revised: 11/15/2022] [Accepted: 11/21/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND Prostate cancer (PCa) is a heterogeneous malignancy with high variability in clinical course. Insufficient stratification according to the aggressiveness at the time of diagnosis causes unnecessary or delayed treatment. Current stratification systems are not effective enough because they are based on clinical, surgical or biochemical parameters, but do not take into account molecular factors driving PCa cancerogenesis. MicroRNAs (miRNAs) are important players in molecular pathogenesis of PCa and could serve as valuable biomarkers for the assessment of disease aggressiveness and its prognosis. METHODS In the study, in total, 280 PCa patients were enrolled. The miRNA expression profiles were analyzed in FFPE PCa tissue using the miRCURY LNA miRNA PCR System. The expression levels of candidate miRNAs were further verified by two-level validation using the RT-qPCR method and evaluated in relation to PCa stratification reflecting the disease aggressiveness. RESULTS MiRNA profiling revealed 172 miRNAs dysregulated between aggressive (ISUP 3-5) and indolent PCa (ISUP 1) (p < 0.05). In the training and validation cohort, miR-15b-5p and miR-106b-5p were confirmed to be significantly upregulated in tissue of aggressive PCa when their level was associated with disease aggressiveness. Furthermore, we established a prognostic score combining the level of miR-15b-5p and miR-106b-5p with serum PSA level, which discriminated indolent PCa from an aggressive form with even higher analytical parameters (AUC being 0.9338 in the training set and 0.8014 in the validation set, respectively). The score was also associated with 5-year biochemical progression-free survival (bPFS) of PCa patients. CONCLUSIONS We identified a miRNA expression pattern associated with disease aggressiveness in prostate cancer patients. These miRNAs may be of biological interest as the focus can be also set on their specific role within the molecular pathology and the molecular mechanism that underlies the aggressivity of prostate cancer.
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Affiliation(s)
- Jaroslav Juracek
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Marie Madrzyk
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Michal Stanik
- Department of Urologic Oncology, Clinic of Surgical Oncology, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Michaela Ruckova
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Karolina Trachtova
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Hana Malcikova
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Eva Lzicarova
- Department of Oncological Pathology, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Dominik A Barth
- Department of Internal Medicine, Division of Oncology, Medical University of Graz, Graz, Austria
| | - Martin Pichler
- Department of Internal Medicine, Division of Oncology, Medical University of Graz, Graz, Austria
| | - Ondrej Slaby
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
- Department of Biology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
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The Potential of MicroRNAs as Non-Invasive Prostate Cancer Biomarkers: A Systematic Literature Review Based on a Machine Learning Approach. Cancers (Basel) 2022; 14:cancers14215418. [PMID: 36358836 PMCID: PMC9657574 DOI: 10.3390/cancers14215418] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 10/28/2022] [Accepted: 10/30/2022] [Indexed: 11/06/2022] Open
Abstract
Simple Summary Prostate cancer (PCa) is the most common cancer in men worldwide. Screening and diagnosis are based on prostate-specific antigen (PSA) blood testing and digital rectal examination. Nevertheless, these methods are not specific and have a high risk of mistaken results. This has led to overtreatment and unnecessary radical therapy; thus, better prognostic tools are urgently needed. In this view, microRNAs (miRs) appear as potential non-invasive biomarkers for PCa diagnosis, prognosis, and therapy. As the scientific literature available in this field is huge and very often controversial, we identified and discussed three topics that characterize the investigated research area by combining the big data from the literature together with a novel machine learning approach. By analyzing the papers clustered into these topics we have offered a deeper understanding of the current research, which helps to contribute to the advancement of this research field. Abstract Background: Prostate cancer (PCa) is the second leading cause of cancer-related deaths in men. Although the prostate-specific antigen (PSA) test is used in clinical practice for screening and/or early detection of PCa, it is not specific, thus resulting in high false-positive rates. MicroRNAs (miRs) provide an opportunity as biomarkers for diagnosis, prognosis, and recurrence of PCa. Because the size of the literature on it is increasing and often controversial, this study aims to consolidate the state-of-art of relevant published research. Methods: A Systematic Literature Review (SLR) approach was applied to analyze a set of 213 scientific publications through a text mining method that makes use of the Latent Dirichlet Allocation (LDA) algorithm. Results and Conclusions: The result of this activity, performed through the MySLR digital platform, allowed us to identify a set of three relevant topics characterizing the investigated research area. We analyzed and discussed all the papers clustered into them. We highlighted that several miRs are associated with PCa progression, and that their detection in patients’ urine seems to be the more reliable and promising non-invasive tool for PCa diagnosis. Finally, we proposed some future research directions to help future scientists advance the field further.
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Constâncio V, Tavares NT, Henrique R, Jerónimo C, Lobo J. MiRNA biomarkers in cancers of the male reproductive system: are we approaching clinical application? Andrology 2022; 11:651-667. [PMID: 35930290 DOI: 10.1111/andr.13258] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 07/28/2022] [Accepted: 08/02/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Specific cancer types face specific clinical management challenges. Owing to their stability, robustness and fast, easy, and cost-effective detection, microRNAs (miRNAs) are attractive candidate biomarkers to the clinic. OBJECTIVES Based on a comprehensive review of the relevant literature in the field, we explore the potential of miRNAs as biomarkers to answer relevant clinical dilemmas inherent to cancers of the male reproductive tract (prostate (PCa), testis (TGCTs) and penis (PeCa)) and identify some of the challenges/limitations hampering their widely application. RESULTS AND DISCUSSION We conclude that the use of miRNAs as biomarkers is at different stages for these distinct cancer types. While for TGCTs, miRNA-371a-3p is universally accepted to fill in important clinicals gaps and is moving fast towards clinical implementation, for PCa almost no overlap of miRNAs exists between studies, denoting the absence of a consistent miRNA biomarker, and for PeCa the field of miRNAs has just recently started, with only a few studies attempting to explore their clinical usefulness. CONCLUSION Technological advances influencing miRNA detection and quantification will be instrumental to continue to move forward with implementation of miRNAs in the clinic as biomarkers for non-invasive diagnosis, risk stratification, treatment monitoring and follow-up. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Vera Constâncio
- Cancer Biology and Epigenetics Group, Research Center of IPO Porto (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Centre (Porto.CCC), R. Dr. António Bernardino de Almeida, Porto, 4200-072, Portugal.,Doctoral Programme in Biomedical Sciences, School of Medicine & Biomedical Sciences, University of Porto (ICBAS-UP), Rua Jorge Viterbo Ferreira 228, Porto, 4050-513, Portugal
| | - Nuno Tiago Tavares
- Cancer Biology and Epigenetics Group, Research Center of IPO Porto (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Centre (Porto.CCC), R. Dr. António Bernardino de Almeida, Porto, 4200-072, Portugal
| | - Rui Henrique
- Cancer Biology and Epigenetics Group, Research Center of IPO Porto (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Centre (Porto.CCC), R. Dr. António Bernardino de Almeida, Porto, 4200-072, Portugal.,Department of Pathology, Portuguese Oncology Institute of Porto / Porto Comprehensive Cancer Centre (Porto.CCC), R. Dr. António Bernardino de Almeida, Porto, 4200-072, Portugal.,Department of Pathology and Molecular Immunology, School of Medicine & Biomedical Sciences, University of Porto (ICBAS-UP), Rua Jorge Viterbo Ferreira 228, Porto, 4050-513, Portugal
| | - Carmen Jerónimo
- Cancer Biology and Epigenetics Group, Research Center of IPO Porto (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Centre (Porto.CCC), R. Dr. António Bernardino de Almeida, Porto, 4200-072, Portugal.,Department of Pathology and Molecular Immunology, School of Medicine & Biomedical Sciences, University of Porto (ICBAS-UP), Rua Jorge Viterbo Ferreira 228, Porto, 4050-513, Portugal
| | - João Lobo
- Cancer Biology and Epigenetics Group, Research Center of IPO Porto (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Centre (Porto.CCC), R. Dr. António Bernardino de Almeida, Porto, 4200-072, Portugal.,Department of Pathology, Portuguese Oncology Institute of Porto / Porto Comprehensive Cancer Centre (Porto.CCC), R. Dr. António Bernardino de Almeida, Porto, 4200-072, Portugal.,Department of Pathology and Molecular Immunology, School of Medicine & Biomedical Sciences, University of Porto (ICBAS-UP), Rua Jorge Viterbo Ferreira 228, Porto, 4050-513, Portugal
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10
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de Nóbrega M, Dos Reis MB, Pereira ÉR, de Souza MF, de Syllos Cólus IM. The potential of cell-free and exosomal microRNAs as biomarkers in liquid biopsy in patients with prostate cancer. J Cancer Res Clin Oncol 2022; 148:2893-2910. [PMID: 35922694 DOI: 10.1007/s00432-022-04213-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 07/14/2022] [Indexed: 12/19/2022]
Abstract
PURPOSE Prostate cancer (PCa) is the 4th most diagnosed cancer and the 8th leading cause of cancer-related death worldwide. Currently, clinical risk stratification models including factors like PSA levels, Gleason score, and digital rectal examination are used for this purpose. There is a need for novel biomarkers that can distinguish between indolent and aggressive pathology and reduce the risk of overdiagnosis/overtreatment. Liquid biopsy has a non-invasive character, can lead to less morbidity and provide new biomarkers, such as miRNAs, that regulate diverse important cellular processes. Here, we report an extended revision about the role of cell-free and exosomal miRNAs (exomiRNAs) as biomarkers for screening, diagnosis, prognosis, or treatment of PCa. METHODS A comprehensive review of the published literature was conducted focusing on the usefulness, advantages, and clinical applications of cell-free and exomiRNAs in serum and plasma. Using PubMed database 53 articles published between 2012 and 2021 were selected and discussed from the perspective of their use as diagnostic, prognostic and therapeutic biomarkers for PCa. RESULTS We identify 119 miRNAs associated with PCa development and the cell-free and exosomal miR-21, miR-141, miR-200c, and miR-375 were consistently associated with progression in multiple cohorts/studies. However, standardized experimental procedures, and well-defined and clinically relevant cohort studies are urgently needed to confirm the biomarker potential of cell-free and exomiRNAs in serum or plasma. CONCLUSION Cell-free and exomiRNAs in serum or plasma are promising tools for be used as non-invasive biomarkers for diagnostic, prognosis, therapy improvement and clinical outcome prediction in PCa patients.
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Affiliation(s)
- Monyse de Nóbrega
- Department of General Biology, Laboratory of Mutagenesis and Oncogenetics, Center of Biologic Sciences, State University of Londrina, Rodovia Celso Garcia Cid, PR-445, Km 380-University Campus, Londrina, PR, CEP 86057-970, Brazil
| | - Mariana Bisarro Dos Reis
- Barretos Cancer Hospital (Molecular Oncology Research Center), Barretos, SP, CEP 14784-400, Brazil
| | - Érica Romão Pereira
- Department of General Biology, Laboratory of Mutagenesis and Oncogenetics, Center of Biologic Sciences, State University of Londrina, Rodovia Celso Garcia Cid, PR-445, Km 380-University Campus, Londrina, PR, CEP 86057-970, Brazil
| | - Marilesia Ferreira de Souza
- Department of General Biology, Laboratory of Mutagenesis and Oncogenetics, Center of Biologic Sciences, State University of Londrina, Rodovia Celso Garcia Cid, PR-445, Km 380-University Campus, Londrina, PR, CEP 86057-970, Brazil
| | - Ilce Mara de Syllos Cólus
- Department of General Biology, Laboratory of Mutagenesis and Oncogenetics, Center of Biologic Sciences, State University of Londrina, Rodovia Celso Garcia Cid, PR-445, Km 380-University Campus, Londrina, PR, CEP 86057-970, Brazil.
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11
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Zhang WT, Zhang GX, Zhao RZ, Gao SS. The potential diagnostic accuracy of circulating microRNAs for prostate cancer: A meta-analysis. Actas Urol Esp 2022; 46:138-149. [PMID: 35260368 DOI: 10.1016/j.acuroe.2021.05.005] [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: 03/05/2021] [Revised: 04/20/2021] [Accepted: 05/23/2021] [Indexed: 06/14/2023]
Abstract
OBJECTIVES This meta-analysis has been conducted to evaluate the diagnostic accuracy of circulating microRNAs for the early diagnosis of prostate cancer (PCA). METHODS A systematic literature search was performed (updated to February 18, 2021) in PubMed, EMBASE, Web of Science, Cochrane Library, Wanfang database and China National Knowledge Infrastructure (CNKI) to identify eligible studies. The pooled sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under curve (AUC) of the summary receiver-operating characteristic (SROC) curve were calculated for both overall and subgroup analysis. The meta-regression and subgroup analysis were performed to explore heterogeneity and Deeks' funnel plot was used to assess publication bias. RESULTS One hundred nineteen studies from 33 articles owned 8703 PCA patients and 4914 controls were included in our meta-analysis. The overall sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio and area under the curve were 0.79, 0.81, 4.1, 0.26, 16 and 0.87, respectively. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and area under the curve of miR-21 in diagnosis of PCA were 0.86, 0.90, 8.3, 0.16, 52 and 0.94, respectively. Subgroup analysis suggested that the upregulated miRNA of serum type with large sample size could carry out a better diagnostic accuracy of PCA patients. Moreover, publication bias was not found. CONCLUSIONS Circulating microRNA, especially miR-21, can be used as a promising noninvasive biomarker in the early diagnosis of PCA.
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Affiliation(s)
- W T Zhang
- Xi'an Daxing Hospital, Shaanxi, China; International Doctoral School, University of Seville, Seville, Spain
| | - G X Zhang
- International Doctoral School, University of Seville, Seville, Spain
| | - R Z Zhao
- Ophthalmology Service, Hospital Hermanos Ameijeiras, La Habana, Cuba
| | - S S Gao
- Xi'an Daxing Hospital, Shaanxi, China; International Doctoral School, University of Seville, Seville, Spain.
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12
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La posible precisión diagnóstica de los microARN circulantes para el cáncer de próstata: un metaanálisis. Actas Urol Esp 2022. [DOI: 10.1016/j.acuro.2021.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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13
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Xu P, Wang Y, Deng Z, Tan Z, Pei X. MicroRNA‑15a promotes prostate cancer cell ferroptosis by inhibiting GPX4 expression. Oncol Lett 2022; 23:67. [PMID: 35069876 DOI: 10.3892/ol.2022.13186] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 09/17/2021] [Indexed: 11/06/2022] Open
Affiliation(s)
- Po Xu
- Department of Emergency, The First Affiliated Hospital, Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, Guangdong 518000, P.R. China
| | - Ying Wang
- Medical Oncology Ward 1, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Shenzhen, Guangdong 518116, P.R. China
| | - Zhe Deng
- Department of Emergency, The First Affiliated Hospital, Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, Guangdong 518000, P.R. China
| | - Zhibo Tan
- Department of Radiation Oncology, Peking University Shenzhen Hospital, Shenzhen, Guangdong 518100, P.R. China
| | - Xiaojuan Pei
- Department of Pathology, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong 518100, P.R. China
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14
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Manifar S, Koopaie M, Lahiji SS. Assessment of MicroRNA-15a and MicroRNA-16-1 Salivary Level in Oral Squamous Cell Carcinoma Patients. Microrna 2021; 10:74-79. [PMID: 33970852 DOI: 10.2174/2211536610666210506125036] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 11/26/2020] [Accepted: 12/09/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Squamous Cell Carcinoma (SCC) includes more than 90% of malignancies of the oral cavity. Early diagnosis could effectively improve patients' quality of life and treatment outcomes of oral cancers. MicroRNAs as non-encoding genes have great potential to initiate or suppress cancer progression. Recent studies have shown that disruption of micro-RNA regulation is a common occurrence in cancers. OBJECTIVE This study set out to evaluate the expression of microRNA-15a (miR-15a) and microRNA-16-1 (miR-16-1) in the saliva of Oral Squamous Cell Carcinoma (OSCC) patients in comparison with a healthy control group. METHODS This case-control study was performed on fifteen patients with OSCC and fifteen healthy volunteers as the control group. A 5 ml of non-stimulating whole saliva was collected by spitting method from patients and controls and stored at -70oC. The expression of miR-15a and miR-16-1 was investigated using quantitative Reverse-Transcription Polymerase Chain Reaction (RT-qPCR). RESULTS MiR-15a and miR-16-1 were downregulated in OSCC patients compared with the control group (p<0.001). The sensitivity of miR-15a and miR-16-1 in differentiating OSCC patients from healthy individuals was 93.3% and 86.67%, respectively, and their specificity was 86.67% and 92.33%, respectively. The diagnostic accuracy of miR-15a was 90%, and miR-16-1 was 93.3%. CONCLUSION The present study showed a decrease in the relative expression of miR-15a and miR-16-1 in OSCC patients compared with healthy individuals. It is probable to introduce salivary values of miR-15a and miR-16-1 as a non-invasive tool for early detection of OSCC. Decreased expression of miR-15a and miR-16-1 in OSCC indicates the possible effective role of these genes in OSCC etiopathogenesis.
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Affiliation(s)
- Soheila Manifar
- Department of Oral Medicine, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Koopaie
- Department of Oral Medicine, School of Dentistry, Tehran University of Medical Sciences, Tehran, Iran
| | - Shahab Shokouhi Lahiji
- Department of Oral Medicine, School of Dentistry, Tehran University of Medical Sciences, Tehran, Iran
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15
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Arrighetti N, Beretta GL. miRNAs as Therapeutic Tools and Biomarkers for Prostate Cancer. Pharmaceutics 2021; 13:380. [PMID: 33805590 PMCID: PMC7999286 DOI: 10.3390/pharmaceutics13030380] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 03/10/2021] [Accepted: 03/11/2021] [Indexed: 12/14/2022] Open
Abstract
Prostate cancer (PCa) is the fifth cause of tumor-related deaths in man worldwide. Despite the considerable improvement in the clinical management of PCa, several limitations emerged both in the screening for early diagnosis and in the medical treatment. The use of prostate-specific antigen (PSA)-based screening resulted in patients' overtreatment and the standard therapy of patients suffering from locally advanced/metastatic tumors (e.g., radical prostatectomy, radiotherapy, and androgen deprivation therapy) showed time-limited efficacy with patients undergoing progression toward the lethal metastatic castration-resistant PCa (mCRPC). Although valuable alternative therapeutic options have been recently proposed (e.g., docetaxel, cabazitaxel, abiraterone, enzalutamide, and sipuleucel-T), mCRPC remains incurable. Based on this background, there is an urgent need to identify new and more accurate prostate-specific biomarkers for PCa diagnosis and prognosis and to develop innovative medical approaches to counteract mCRPC. In this context, microRNA (miRNAs) emerged as potential biomarkers in prostate tissues and biological fluids and appeared to be promising therapeutic targets/tools for cancer therapy. Here we overview the recent literature and summarize the achievements of using miRNAs as biomarkers and therapeutic targets/tools for fighting PCa.
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Affiliation(s)
| | - Giovanni Luca Beretta
- Molecular Pharmacology Unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy;
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16
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Slavik H, Balik V, Vrbkova J, Rehulkova A, Vaverka M, Hrabalek L, Ehrmann J, Vidlarova M, Gurska S, Hajduch M, Srovnal J. Identification of Meningioma Patients at High Risk of Tumor Recurrence Using MicroRNA Profiling. Neurosurgery 2021; 87:1055-1063. [PMID: 32125436 PMCID: PMC7566524 DOI: 10.1093/neuros/nyaa009] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Accepted: 12/15/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Meningioma growth rates are highly variable, even within benign subgroups, with some remaining stable, whereas others grow rapidly. OBJECTIVE To identify molecular-genetic markers for more accurate prediction of meningioma recurrence and better-targeted therapy. METHODS Microarrays identified microRNA (miRNA) expression in primary and recurrent meningiomas of all World Health Organization (WHO) grades. Those found to be deregulated were further validated by quantitative real-time polymerase chain reaction in a cohort of 172 patients. Statistical analysis of the resulting dataset revealed predictors of meningioma recurrence. RESULTS Adjusted and nonadjusted models of time to relapse identified the most significant prognosticators to be miR-15a-5p, miR-146a-5p, and miR-331-3p. The final validation phase proved the crucial significance of miR-146a-5p and miR-331-3p, and clinical factors such as type of resection (total or partial) and WHO grade in some selected models. Following stepwise selection in a multivariate model on an expanded cohort, the most predictive model was identified to be that which included lower miR-331-3p expression (hazard ratio [HR] 1.44; P < .001) and partial tumor resection (HR 3.90; P < .001). Moreover, in the subgroup of total resections, both miRNAs remained prognosticators in univariate models adjusted to the clinical factors. CONCLUSION The proposed models might enable more accurate prediction of time to meningioma recurrence and thus determine optimal postoperative management. Moreover, combining this model with current knowledge of molecular processes underpinning recurrence could permit the identification of distinct meningioma subtypes and enable better-targeted therapies.
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Affiliation(s)
- Hanus Slavik
- Laboratory of Experimental Medicine, Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University and University Hospital Olomouc, Czech Republic
| | - Vladimir Balik
- Laboratory of Experimental Medicine, Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University and University Hospital Olomouc, Czech Republic.,Department of Neurosurgery, Faculty of Medicine and Dentistry, Palacky University and University Hospital Olomouc, Czech Republic
| | - Jana Vrbkova
- Laboratory of Experimental Medicine, Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University and University Hospital Olomouc, Czech Republic
| | - Alona Rehulkova
- Laboratory of Experimental Medicine, Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University and University Hospital Olomouc, Czech Republic
| | - Miroslav Vaverka
- Department of Neurosurgery, Faculty of Medicine and Dentistry, Palacky University and University Hospital Olomouc, Czech Republic
| | - Lumir Hrabalek
- Department of Neurosurgery, Faculty of Medicine and Dentistry, Palacky University and University Hospital Olomouc, Czech Republic
| | - Jiri Ehrmann
- Laboratory of Experimental Medicine, Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University and University Hospital Olomouc, Czech Republic.,Institute of Clinical and Molecular Pathology, Faculty of Medicine and Dentistry, Palacky University and University Hospital Olomouc, Czech Republic, Czech Republic
| | - Monika Vidlarova
- Laboratory of Experimental Medicine, Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University and University Hospital Olomouc, Czech Republic
| | - Sona Gurska
- Laboratory of Experimental Medicine, Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University and University Hospital Olomouc, Czech Republic
| | - Marian Hajduch
- Laboratory of Experimental Medicine, Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University and University Hospital Olomouc, Czech Republic
| | - Josef Srovnal
- Laboratory of Experimental Medicine, Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University and University Hospital Olomouc, Czech Republic
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17
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Liu B, Qian D, Zhou W, Jiang H, Xiang Z, Wu D. A Novel Androgen-Induced lncRNA FAM83H-AS1 Promotes Prostate Cancer Progression via the miR-15a/CCNE2 Axis. Front Oncol 2021; 10:620306. [PMID: 33614501 PMCID: PMC7890020 DOI: 10.3389/fonc.2020.620306] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 11/23/2020] [Indexed: 01/07/2023] Open
Abstract
Prostate cancer (PCa) is one of the most common types of tumors among males worldwide. However, the roles of long noncoding RNAs (lncRNAs) in PCa remain unclear. This study shows that lncRNA FAM83H-AS1 is upregulated in prostate adenocarcinoma, bladder urothelial carcinoma, and kidney renal papillary cell carcinoma samples. Androgen receptor (AR) signaling plays the most important role in PCa tumorigenesis and development. In this study, the results validate that AR signaling is involved in upregulating FAM83H-AS1 expression in PCa cells. Loss-of-function assays demonstrate that FAM83H-AS1 acts as an oncogene in PCa by modulating cell proliferation, cell cycle, and migration. Bioinformatics analysis demonstrates that FAM83H-AS1 is remarkably related to the regulation of the cell cycle and DNA replication through affecting multiple regulators related to these pathways, such as CCNE2. Mechanically, we found that FAM83H-AS1 plays its roles through sponging miR-15a to promote CCNE2 expression. These findings indicate that FAM83H-AS1 is a novel diagnostic and therapeutic marker for PCa.
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Affiliation(s)
- Bo Liu
- Department of Urology, Tongji Hospital, Tongji University of Medicine, Shanghai, China
| | - Duocheng Qian
- Department of Urology, Shanghai Fourth People's Hospital affiliated to Tongji University School of Medicine, Shanghai, China
| | - Weidong Zhou
- Department of Urology, Tongji Hospital, Tongji University of Medicine, Shanghai, China
| | - Huiyang Jiang
- Department of Urology, Tongji Hospital, Tongji University of Medicine, Shanghai, China
| | - Zhendong Xiang
- Department of Urology, Tongji Hospital, Tongji University of Medicine, Shanghai, China
| | - Denglong Wu
- Department of Urology, Tongji Hospital, Tongji University of Medicine, Shanghai, China
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18
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Shao Y, Guo X, Zhao L, Shen Y, Niu C, Wei W, Liu F. A Functional Variant of the miR-15 Family Is Associated with a Decreased Risk of Esophageal Squamous Cell Carcinoma. DNA Cell Biol 2020; 39:1583-1594. [PMID: 32635759 DOI: 10.1089/dna.2020.5606] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
MicroRNAs (miRNAs)-related single-nucleotide polymorphisms (SNPs) have been shown to be implicated in the susceptibility to different types of cancer, including esophageal squamous cell carcinoma (ESCC). Identification of miRNA-related SNPs may provide candidate biomarkers for early diagnosis of ESCC. We performed a genome-wide microarray assay to identify differentially expressed miRNAs, which indicated that the miR-15 family may play an important role in ESCC biology. We then investigated the association of miR-15 family-related SNPs with ESCC. Five miR-15 family-related SNPs were genotyped in 300 patients and 418 controls. Unconditional logistic regression was used to evaluate the relationships of these SNPs with ESCC. Generalized multifactor dimensionality reduction was employed to analyze the SNP-SNP and SNP-smoking interactions. The expression quantitative trait loci (eQTL) databases were queried for in silico functional validation. We found that miR-15b SNP rs1451761T>G was associated with a significantly decreased risk of ESCC and there was a significant SNP-SNP interaction between rs1451761 and rs2740545. SNP-smoking interaction analysis also indicated that the association between rs1451761 and ESCC risk could be changed by smoking status. Additionally, the eQTL analysis revealed that rs1451761 was significantly correlated with structural maintenance of chromosomes 4 and karyopherin subunit alpha 4 mRNA expression. Our results suggest that miR-15b SNP rs1451761 may affect an individual's susceptibility to ESCC, alone and in SNP-SNP and SNP-smoking interaction manners.
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Affiliation(s)
- Yi Shao
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xudong Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Lei Zhao
- Department of Molecular Physiology and Biophysics, Holden Comprehensive Cancer Center, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA
| | - Yi Shen
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Chen Niu
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Wenqiang Wei
- National Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fen Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
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19
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Wu H, Tian X, Zhu C. Knockdown of lncRNA PVT1 inhibits prostate cancer progression in vitro and in vivo by the suppression of KIF23 through stimulating miR-15a-5p. Cancer Cell Int 2020; 20:283. [PMID: 32624708 PMCID: PMC7330980 DOI: 10.1186/s12935-020-01363-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 06/17/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Prostate cancer (PCa) greatly threatens men's lives, with high incidence and mortality. Recently, the research of long non-coding RNAs (lncRNAs) has made breakthroughs in the development of human cancers. This study aimed to figure out the role and action mechanism of lncRNA PVT1 (PVT1) in PCa. METHODS The expression of PVT1, microRNA-15a-5p (miR-15a-5p) and kinesin family member 23 (KIF23) was detected by quantitative real-time polymerase chain reaction (qRT-PCR). Cell proliferation, apoptosis, migration and invasion were assessed by 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide (MTT), flow cytometry and transwell assays, respectively. The protein levels of KIF23 and proliferation, apoptosis, and epithelial-mesenchymal transition (EMT)-related markers were quantified by western blot. The relationship between miR-15a-5p and PVT1 or KIF23 was predicted by starBase v2.0 and verified by dual-luciferase reporter assay. Xenograft assay was conducted to determine the role of PVT1 in vivo. RESULTS The expression of PVT1 and KIF23 was enhanced, while miR-15a-5p expression was reduced in PCa tissues and cells. PVT1 interference inhibited proliferation, migration and invasion but promoted apoptosis of PCa cells. MiR-15a-5p was a target of PVT1, and KIF23 was a target of miR-15a-5p. The inhibition of miR-15a-5p reversed the effects of PVT1 interference and suppressed the roles of KIF23 knockdown. KIF23 expression was regulated by PVT1 through miR-15a-5p. PVT1 interference blocked PCa progression in vivo. CONCLUSION PVT1 knockdown had effects on the progression of PCa by inhibiting the expression of KIF23 via enriching miR-15a-5p in vitro and in vivo, suggesting that PVT1 might be a novel biomarker for the treatment of PCa.
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Affiliation(s)
- Huijuan Wu
- Department of Telemedicine and Internet Medical Center, The Huaihe Hospital of Henan University, No. 115 Ximen Avenue, Kaifeng, 475000 Henan China
| | - Xin Tian
- Department of Urology Surgery, The Huaihe Hospital of Henan University, Kaifeng, Henan China
| | - Chaoyang Zhu
- Department of Urology Surgery, The Huaihe Hospital of Henan University, Kaifeng, Henan China
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20
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McNally CJ, Ruddock MW, Moore T, McKenna DJ. Biomarkers That Differentiate Benign Prostatic Hyperplasia from Prostate Cancer: A Literature Review. Cancer Manag Res 2020; 12:5225-5241. [PMID: 32669872 PMCID: PMC7335899 DOI: 10.2147/cmar.s250829] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Accepted: 04/09/2020] [Indexed: 12/20/2022] Open
Abstract
Prediction of prostate cancer in primary care is typically based upon serum total prostate-specific antigen (tPSA) and digital rectal examination results. However, these tests lack sensitivity and specificity, leading to over-diagnosis of disease and unnecessary, invasive biopsies. Therefore, there is a clinical need for diagnostic tests that can differentiate between benign conditions and early-stage malignant disease in the prostate. In this review, we evaluate research papers published from 2009 to 2019 reporting biomarkers that identified or differentiated benign prostatic hyperplasia (BPH) from prostate cancer. Our review identifies hundreds of potential biomarkers in urine, serum, tissue, and semen proposed as useful targets for differentiating between prostate cancer and BPH patients. However, it is still not apparent which of these candidate biomarkers are most useful, and many will not progress beyond the discovery stage unless they are properly validated for clinical practice. We conclude that this validation will come through the use of multivariate panels which can assess the value of biomarker candidates in combination with clinical parameters as part of a risk prediction calculator. Implementation of such a model will help clinicians stratify patients with prostate cancer symptoms in primary care, with tangible benefits for both the patient and the health service.
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Affiliation(s)
- Christopher J McNally
- Randox Laboratories Ltd, Crumlin, Co. Antrim BT29 4QY, Northern Ireland.,Biomedical Sciences Research Institute, Ulster University, Coleraine BT52 1SA, Northern Ireland
| | - Mark W Ruddock
- Randox Laboratories Ltd, Crumlin, Co. Antrim BT29 4QY, Northern Ireland
| | - Tara Moore
- Biomedical Sciences Research Institute, Ulster University, Coleraine BT52 1SA, Northern Ireland
| | - Declan J McKenna
- Biomedical Sciences Research Institute, Ulster University, Coleraine BT52 1SA, Northern Ireland
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21
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Cochetti G, Rossi de Vermandois JA, Maulà V, Giulietti M, Cecati M, Del Zingaro M, Cagnani R, Suvieri C, Paladini A, Mearini E. Role of miRNAs in prostate cancer: Do we really know everything? Urol Oncol 2020; 38:623-635. [PMID: 32284256 DOI: 10.1016/j.urolonc.2020.03.007] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 03/12/2020] [Accepted: 03/14/2020] [Indexed: 12/16/2022]
Abstract
Many different genetic alterations, as well as complex epigenetic interactions, are the basis of the genesis and progression of prostate cancer (CaP). This is the reason why until now the molecular pathways related to development of this cancer were only partly known, and even less those that determine aggressive or indolent tumour behaviour. MicroRNAs (miRNAs) represent a class of about 22 nucleotides long, small non-coding RNAs, which are involved in gene expression regulation at the post-transcriptional level. MiRNAs play a crucial role in regulating several biological functions and preserving homeostasis, as they carry out a wide modulatory activity on various molecular signalling pathways. MiRNA genes are placed in cancer-related genomic regions or in fragile sites, and they have been proven to be involved in the main steps of carcinogenesis as oncogenes or oncosuppressors in many types of cancer, including CaP. We performed a narrative review to describe the relationship between miRNAs and the crucial steps of development and progression of CaP. The aims of this study were to improve the knowledge regarding the mechanisms underlying miRNA expression and their target genes, and to contribute to understanding the relationship between miRNA expression profiles and CaP.
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Affiliation(s)
- Giovanni Cochetti
- Division of Urology Clinic, Department of Surgical and Biomedical Sciences, University of Perugia, Perugia, Italy
| | | | - Vincenza Maulà
- Biotechnology Laboratory in Urology, Division of Urology Clinic, Department of Surgical and Biomedical Sciences, University of Perugia, Perugia, Italy
| | - Matteo Giulietti
- Department of Specialistic Clinical and Odontostomatological Sciences, Polytechnic University of Marche, Ancona, Italy
| | - Monia Cecati
- Department of Specialistic Clinical and Odontostomatological Sciences, Polytechnic University of Marche, Ancona, Italy
| | - Michele Del Zingaro
- Division of Urology Clinic, Department of Surgical and Biomedical Sciences, University of Perugia, Perugia, Italy
| | - Rosy Cagnani
- Biotechnology Laboratory in Urology, Division of Urology Clinic, Department of Surgical and Biomedical Sciences, University of Perugia, Perugia, Italy
| | - Chiara Suvieri
- Biotechnology Laboratory in Urology, Division of Urology Clinic, Department of Surgical and Biomedical Sciences, University of Perugia, Perugia, Italy
| | - Alessio Paladini
- Division of Urology Clinic, Department of Surgical and Biomedical Sciences, University of Perugia, Perugia, Italy.
| | - Ettore Mearini
- Division of Urology Clinic, Department of Surgical and Biomedical Sciences, University of Perugia, Perugia, Italy
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Kabekkodu SP, Shukla V, Varghese VK, Adiga D, Vethil Jishnu P, Chakrabarty S, Satyamoorthy K. Cluster miRNAs and cancer: Diagnostic, prognostic and therapeutic opportunities. WILEY INTERDISCIPLINARY REVIEWS-RNA 2019; 11:e1563. [PMID: 31436881 DOI: 10.1002/wrna.1563] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 07/05/2019] [Accepted: 07/25/2019] [Indexed: 02/06/2023]
Abstract
MiRNAs are class of noncoding RNA important for gene expression regulation in many plants, animals and viruses. MiRNA clusters contain a set of two or more miRNA encoding genes, transcribed together as polycistronic miRNAs. Currently, there are approximately 159 miRNA clusters reported in the human genome consisting of miRNAs ranging from two or more miRNA genes. A large proportion of clustered miRNAs resides in and around the fragile sites or cancer associated genomic hotspots and plays an important role in carcinogenesis. Altered expression of miRNA cluster can be pro-tumorigenic or anti-tumorigenic and can be targeted for clinical management of cancer. Over the past few years, manipulation of miRNA clusters expression is attempted for experimental purpose as well as for diagnostic, prognostic and therapeutic applications in cancer. Re-expression of miRNAs by epigenetic therapy, genome editing such as clustered regulatory interspaced short palindromic repeats (CRISPR) and miRNA mowers showed promising results in cancer therapy. In this review, we focused on the potential of miRNA clusters as a biomarker for diagnosis, prognosis, targeted therapy as well as strategies for modulating their expression in a therapeutic context. This article is categorized under: Regulatory RNAs/RNAi/Riboswitches > Regulatory RNAs RNA Processing > Processing of Small RNAs RNA in Disease and Development > RNA in Disease Regulatory RNAs/RNAi/Riboswitches > Biogenesis of Effector Small RNAs.
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Affiliation(s)
- Shama Prasada Kabekkodu
- Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Vaibhav Shukla
- Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Vinay Koshy Varghese
- Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Divya Adiga
- Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Padacherri Vethil Jishnu
- Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Sanjiban Chakrabarty
- Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Kapaettu Satyamoorthy
- Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
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Identification of HGF as a novel target of miR-15a/16/195 in gastric cancer. Invest New Drugs 2019; 38:922-933. [PMID: 31414268 DOI: 10.1007/s10637-019-00834-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Accepted: 07/04/2019] [Indexed: 02/06/2023]
Abstract
Background Gastric malignancy is the third most frequently encountered cancer globally and have been documented to confer extremely poor prognosis, given their limited treatment options. The up-regulation of hepatocyte growth factor (HGF) has been found in various tumor tissues, including GC tissue, and has been linked with tumor development. Nevertheless, the pathways leading to HGF upregulation have yet to be fully explored. Methods Immunohistochemistry (IHC) assay was used to detect HGF expression in human gastric tumor tissues, while western blotting allowed quantification of protein levels. Bioinformatics tools were used to predict potential miRNA that may target HGF mRNA. Relative levels of miR-15a/16/195 as well as the target mRNA levels were analyzed with qRT-PCR. Direct targeting between miRNA and mRNA was then validated by luciferase assay. Finally, a mouse xenograft tumor model was selected to demonstrate the in vivo effects of miR-15a/16/195. Results HGF protein expressions were markedly raised, while miR-15a/16/195 levels were dramatically down-regulated in tumor tissues of GC. miR-15a/16/195 were shown to directly bind with the 3'-UTR of HGF mRNA. This study demonstrated that HGF can be repressed by overexpressed miR-15a/16/195, which resulted in the suppression of GC cell proliferation and migration. Furthermore, in the xenograft mouse model, miR-15a/16/195 were also found to have a tumor growth suppression effect. Conclusions miR-15a/16/195 suppresses tumorigenesis by targeting HGF and may have a potential therapeutic application in the clinical treatment of GC.
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Ors-Kumoglu G, Gulce-Iz S, Biray-Avci C. Therapeutic microRNAs in human cancer. Cytotechnology 2019; 71:411-425. [PMID: 30600466 DOI: 10.1007/s10616-018-0291-8] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Accepted: 12/14/2018] [Indexed: 02/07/2023] Open
Abstract
MicroRNAs (miRNAs) are RNA molecules at about 22 nucleotide in length that are non-coding, which regulate gene expression in the post-transcriptional level by performing degradation or blocks translation of the target mRNA. It is known that they play roles in mechanisms such as metabolic regulation, embryogenesis, organogenesis, differentiation and growth control by providing post-transcriptional regulation of gene expression. With these properties, miRNAs play important roles in the regulation of biological processes such as proliferation, differentiation, apoptosis, drug resistance mechanisms in eukaryotic cells. In addition, there are miRNAs that can be used for cancer therapy. Tumor cells and tumor microenvironment have different miRNA expression profiles. Some miRNAs are known to play a role in the onset and progression of the tumor. miRNAs with oncogenic or tumor suppressive activity specific to different cancer types are still being investigated. This review summarizes the role of miRNAs in tumorigenesis, therapeutic strategies in human cancer and current studies.
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Affiliation(s)
- Gizem Ors-Kumoglu
- Department of Bioengineering, Faculty of Engineering, Ege University, Izmir, Turkey.
| | - Sultan Gulce-Iz
- Department of Bioengineering, Faculty of Engineering, Ege University, Izmir, Turkey.,Biomedical Technologies Graduate Programme, Institute of Natural and Applied Sciences, Ege University, Izmir, Turkey
| | - Cigir Biray-Avci
- Department of Medical Biology, Faculty of Medicine, Ege University, Izmir, Turkey
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Hu S, Wang H, Yan D, Lu W, Gao P, Lou W, Kong X. Loss of miR-16 contributes to tumor progression by activation of tousled-like kinase 1 in oral squamous cell carcinoma. Cell Cycle 2018; 17:2284-2295. [PMID: 30252587 DOI: 10.1080/15384101.2018.1526601] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
A different expression signature of miRNA in oral squamous cell carcinoma (OSCC) has been validated. MicroRNA-16 (miR-16) as one of the distinctly dysregulated miRNAs in OSCC, its functional role in progression of OSCC remains not fully clear. Herein, miR-16 expression was significantly lower in OSCC tissues compared to that in adjacent normal tissues (n = 131). A lower level of miR-16 was found to be associated with poor prognosis on a cohort of 131 patients with OSCC, and on an extensive public data (457) from TCGA database. Additionally, expression of TLK1 was significantly higher in OSCC tissues compared to that in adjacent normal tissues, which is negatively correlated with miR-16 expression in OSCC. Bioinformatics analyses exhibited that TLK1 is a potential downstream effector of miR-16 by directly targeting the 3'-untranslated regions (3'-UTR) of mRNA. Forced expression of miR-16 in OSCC cell lines inhibits cell proliferation in vitro, and tumor growth in vivo by inhibition of TLK1. Mechanistically, downregulation of TLK1 by miR-16 enhances higher level of DNA damage leading to a significant increase of G2/M arrest in SCC9 cells. And, overexpression of TLK1 substantially reduces DNA damage and G2/M arrest by activation of TLK1-dependent cell cycle checkpoint response. To conclude, miR-16 is downregulated in OSCC and serves as tumor suppressor in OSCC progression by targeting TLK1, which has potential to be the novel therapeutic targets and diagnostic biomarkers for OSCC.
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Affiliation(s)
- Shousen Hu
- a Department of Otolaryngology Head and Neck Surgery , The First Affiliated Hospital of Zhengzhou University , Zhengzhou , Henan , China
| | - Honghan Wang
- b Department of Head and Neck Surgery, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine , Central South University , Changsha , Hunan , China
| | - Dan Yan
- c Department of Pharmacy , The First Affiliated Hospital of Zhengzhou University , Zhengzhou , China.,d Henan Key Laboratory of Precision Clinical Pharmacy , Zhengzhou University , Zhengzhou , China
| | - Wuhao Lu
- a Department of Otolaryngology Head and Neck Surgery , The First Affiliated Hospital of Zhengzhou University , Zhengzhou , Henan , China
| | - Pei Gao
- a Department of Otolaryngology Head and Neck Surgery , The First Affiliated Hospital of Zhengzhou University , Zhengzhou , Henan , China
| | - Weihua Lou
- a Department of Otolaryngology Head and Neck Surgery , The First Affiliated Hospital of Zhengzhou University , Zhengzhou , Henan , China
| | - Xiangzhen Kong
- c Department of Pharmacy , The First Affiliated Hospital of Zhengzhou University , Zhengzhou , China.,d Henan Key Laboratory of Precision Clinical Pharmacy , Zhengzhou University , Zhengzhou , China
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Liu T, Xu Z, Ou D, Liu J, Zhang J. The miR-15a/16 gene cluster in human cancer: A systematic review. J Cell Physiol 2018; 234:5496-5506. [PMID: 30246332 DOI: 10.1002/jcp.27342] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2018] [Accepted: 08/10/2018] [Indexed: 12/15/2022]
Abstract
MicroRNAs (miRNAs) are an important class of endogenous small noncoding single-stranded RNAs that suppress the expression of their target genes through messenger RNA (mRNA) degradation to inhibit transcription and translation. MiRNAs play a crucial regulatory role in many biological processes including proliferation, metabolism, and cellular malignancy. miR-15a/16 is an important tumor suppressor gene cluster with a variety of factors that regulate its transcriptional activity. It has been discovered that a relative reduction of miR-15a/16 expression in various cancers is closely related to the occurrence and progression of tumors. miR-15a/16 takes part in a wide array of biological processes including tumor cell proliferation, apoptosis, invasion, and chemoresistance by binding to the 3'-untranslated region of its target gene's mRNA. In this review, we will examine the complex regulatory network of miR-15a/16 gene expression and its biological functions in human cancers to further elucidate the molecular mechanisms of its antitumor effects.
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Affiliation(s)
- Ting Liu
- Department of Rheumatology, The First Affiliated Hospital of University of South China, Hengyang, Hunan, China
| | - Zhenru Xu
- Department of Rheumatology, The First Affiliated Hospital of University of South China, Hengyang, Hunan, China
| | - Daming Ou
- Department of Rheumatology, The First Affiliated Hospital of University of South China, Hengyang, Hunan, China
| | - Jing Liu
- Molecular Biology Research Center & Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Ji Zhang
- Department of Rheumatology, The First Affiliated Hospital of University of South China, Hengyang, Hunan, China.,Molecular Biology Research Center & Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
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