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Van Goubergen J, Peřina M, Handle F, Morales E, Kremer A, Schmidt O, Kristiansen G, Cronauer MV, Santer FR. Targeting the CLK2/SRSF9 splicing axis in prostate cancer leads to decreased ARV7 expression. Mol Oncol 2024. [PMID: 39258426 DOI: 10.1002/1878-0261.13728] [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: 03/13/2024] [Revised: 07/31/2024] [Accepted: 08/23/2024] [Indexed: 09/12/2024] Open
Abstract
In advanced prostate cancer (PC), in particular after acquisition of resistance to androgen receptor (AR) signaling inhibitors (ARSI), upregulation of AR splice variants compromises endocrine therapy efficiency. Androgen receptor splice variant-7 (ARV7) is clinically the most relevant and has a distinct 3' untranslated region (3'UTR) compared to the AR full-length variant, suggesting a unique post-transcriptional regulation. Here, we set out to evaluate the applicability of the ARV7 3'UTR as a therapy target. A common single nucleotide polymorphism, rs5918762, was found to affect the splicing rate and thus the expression of ARV7 in cellular models and patient specimens. Serine/arginine-rich splicing factor 9 (SRSF9) was found to bind to and increase the inclusion of the cryptic exon 3 of ARV7 during the splicing process in the alternative C allele of rs5918762. The dual specificity protein kinase CLK2 interferes with the activity of SRSF9 by regulating its expression. Inhibition of the Cdc2-like kinase (CLK) family by the small molecules cirtuvivint or lorecivivint results in the decreased expression of ARV7. Both inhibitors show potent anti-proliferative effects in enzalutamide-treated or -naive PC models. Thus, targeting aberrant alternative splicing at the 3'UTR of ARV7 by disturbing the CLK2/SRSF9 axis might be a valuable therapeutic approach in late stage, ARSI-resistant PC.
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Affiliation(s)
- Jasper Van Goubergen
- Division of Experimental Urology, Department of Urology, Medical University of Innsbruck, Austria
| | - Miroslav Peřina
- Division of Experimental Urology, Department of Urology, Medical University of Innsbruck, Austria
- Department of Experimental Biology, Faculty of Science, Palacký University Olomouc, Czech Republic
| | - Florian Handle
- Institute of Pathology, Neuropathology & Molecular Pathology, Medical University of Innsbruck, Austria
| | - Elisa Morales
- Division of Experimental Urology, Department of Urology, Medical University of Innsbruck, Austria
| | - Anika Kremer
- Institute of Pathology, University Hospital Bonn, Germany
| | - Oliver Schmidt
- Institute of Cell Biology, Biocenter, Medical University of Innsbruck, Austria
| | | | | | - Frédéric R Santer
- Division of Experimental Urology, Department of Urology, Medical University of Innsbruck, Austria
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Tosta BR, de Almeida IM, da Cruz Pena L, Dos Santos Silva H, Reis-Goes FS, Silva NN, Cruz JVA, Dos Anjos Silva M, de Araújo JF, Rodrigues JL, Oliveira G, Figueiredo RG, Vaz SN, Montaño-Castellón I, Santana D, de Lima Beltrão FE, Carneiro VL, Campos GS, Brites C, Fortuna V, Figueiredo CA, Trindade SC, Ramos HE, Costa RDS. MTOR gene variants are associated with severe COVID-19 outcomes: A multicenter study. Int Immunopharmacol 2023; 125:111155. [PMID: 37951192 DOI: 10.1016/j.intimp.2023.111155] [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: 08/25/2023] [Revised: 10/25/2023] [Accepted: 10/30/2023] [Indexed: 11/13/2023]
Abstract
BACKGROUND The worst outcomes linked to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection have been attributed to the cytokine storm, which contributes significantly to the immunopathogenesis of the disease. The mammalian target of rapamycin (mTOR) pathway is essential for orchestrating innate immune cell defense including cytokine production and is dysregulated in severe Coronavirus Disease 2019 (COVID-19) individuals. The individual genetic background might play a role in the exacerbated immune response. OBJECTIVE In this study, we aimed to investigate the association between MTOR genetic variants and COVID-19 outcomes. METHODS This study enrolled groups of individuals with severe (n = 285) and mild (n = 207) COVID-19 from Brazilian states. The MTOR variants, rs1057079 and rs2536, were genotyped. A logistic regression analysis and Kaplan-Meier survival curves were performed. We applied a genotyping risk score to estimate the cumulative contribution of the risk alleles. Tumor necrosis factor (TNF) and interleukin-6 (IL-6) plasma levels were also measured. RESULTS The T allele of the MTOR rs1057079 variant was associated with a higher likelihood of developing the most severe form of COVID-19. In addition, higher levels of IL-6 and COVID-19 death was linked to the T allele of the rs2536 variant. These variants exhibited a cumulative risk when inherited collectively. CONCLUSIONS These results show a potential pathogenetic role of MTOR gene variants and may be useful for predicting severe outcomes following COVID-19 infection, resulting in a more effective allocation of health resources.
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Affiliation(s)
- Bruna Ramos Tosta
- Laboratório de Imunofarmacologia e Biologia Molecular, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Brazil
| | - Ingrid Marins de Almeida
- Laboratório de Imunofarmacologia e Biologia Molecular, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Brazil
| | - Laiane da Cruz Pena
- Laboratório de Imunofarmacologia e Biologia Molecular, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Brazil
| | - Hatilla Dos Santos Silva
- Laboratório de Imunofarmacologia e Biologia Molecular, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Brazil
| | - Fabiane S Reis-Goes
- Laboratório de Imunologia e Biologia Molecular, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Brazil
| | - Nívia N Silva
- Laboratório de Imunologia e Biologia Molecular, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Brazil
| | - João Victor Andrade Cruz
- Laboratório de Imunofarmacologia e Biologia Molecular, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Brazil
| | - Mailane Dos Anjos Silva
- Laboratório de Imunofarmacologia e Biologia Molecular, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Brazil
| | - Jéssica Francisco de Araújo
- Laboratório de Imunofarmacologia e Biologia Molecular, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Brazil
| | - Juliana Lopes Rodrigues
- Laboratório de Imunofarmacologia e Biologia Molecular, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Brazil
| | | | | | - Sara Nunes Vaz
- Hospital Universitário Professor Edgard Santos, Universidade Federal da Bahia, Bahia, Brazil
| | - Iris Montaño-Castellón
- Hospital Universitário Professor Edgard Santos, Universidade Federal da Bahia, Bahia, Brazil
| | - Daniele Santana
- Hospital Universitário Professor Edgard Santos, Universidade Federal da Bahia, Bahia, Brazil
| | | | | | - Gubio Soares Campos
- Laboratório de Virologia, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Brazil
| | - Carlos Brites
- Hospital Universitário Professor Edgard Santos, Universidade Federal da Bahia, Bahia, Brazil
| | - Vitor Fortuna
- Laboratório de Imunologia e Biologia Molecular, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Brazil
| | - Camila Alexandrina Figueiredo
- Laboratório de Imunofarmacologia e Biologia Molecular, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Brazil
| | - Soraya Castro Trindade
- Laboratório de Imunologia e Biologia Molecular, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Brazil; Universidade Estadual de Feira de Santana, Bahia, Brazil
| | - Helton Estrela Ramos
- Programa de Pós-Graduação em Processos Interativos de Órgãos e Sistema, Instituto de Saúde e Ciência, Universidade Federal da Bahia, Salvador, Bahia, Brazil
| | - Ryan Dos Santos Costa
- Laboratório de Imunofarmacologia e Biologia Molecular, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Brazil.
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Giri P, Bhimani R, Patil S, Dwivedi M. Genetic association of Nuclear factor of activated T cells' 3'UTR and structural polymorphisms with susceptibility to generalized vitiligo in Gujarat population. Gene 2023:147629. [PMID: 37429370 DOI: 10.1016/j.gene.2023.147629] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 06/15/2023] [Accepted: 07/07/2023] [Indexed: 07/12/2023]
Abstract
Generalized vitiligo(GV) is an autoimmune skin depigmenting disease characterized by loss of functional melanocytes. Nuclear factor of activated T cells(NFATs) play a key role in regulatory T cells' (Tregs) activation and function. Our previous studies have highlighted the role of reduced NFATs expression and activity in impaired Tregs suppressive capacity, leading to GV pathogenesis. 3'UTR region and structural single nucleotide polymorphisms(SNPs) could lead to reduced NFAT expression and activity. Therefore, we studied the association of NFATs 3'UTR [NFATC2 rs4811198(T>G) &NFATC4 rs11848279(A>G)] and structural [NFATC1 rs754093(T>G) &NFATC2 rs12479626(T>C)] SNPs in 427 GV patients and 415 controls from Gujarat population by Polymerase chain reaction-restriction fragment length polymorphism(PCR-RFLP). Additionally, we carried out genotype-phenotype correlation and in silico analysis to assess the effect of NFATs SNPs on NFATs expression and structure. NFATC2 rs4811198(T>G) 3' UTR &NFATC2 rs12479626(T>C) structural SNPs were significantly associated with GV(p<0.0001). Interestingly, for NFATC2 rs4811198(T>G) SNP, there was a significant difference in the TT vs GG genotypes' frequencies (p=0.0034; Table 2), and for NFATC2 rs12479626(T>C) SNP there was a significant difference between TT vs TC and CC genotypes' frequencies(p<0.0001 & p=0.0002) between GV patients and controls. Furthermore, Odds ratio suggested that the susceptible alleles for NFATC2 rs4811198(T>G) &NFATC2 rs12479626(T>C) SNPs increased the risk of GV by 1.38 & 3.043 fold. However, the NFAT 3' UTR [NFATC2 rs4811198 (T>G)] and structural [NFATC1 rs754093(T>G)] SNPs were not significantly associated with GV. Interestingly, the genotype-phenotype correlation suggested that the susceptible 'G' allele of NFATC2 rs4811198(T>G) &NFATC4 rs11848279(A>G) 3' UTR SNPs lead to reduced NFATC2 and NFATC4 expression(p<0.0001). Furthermore, in silico analysis suggested that hsa-miR-3183 & hsa-miR-6720-3p miRNAs specifically bound to 'G' allele of NFATC2 rs4811198 SNP and has-miR-4652-3p miRNA specifically bound to 'G' allele of NFATC4 rs11848279 SNP. Overall, our study suggests that NFATC2 rs4811198(T>G) 3' UTR &NFATC2 rs12479626(T>C) structural SNPs may be associated with GV susceptibility in Gujarat population. Moreover, the susceptible alleles for the 3' UTR SNPs could lead to reduced NFATs levels, which may further possibly, affect the Treg suppressive function leading to GV.
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Affiliation(s)
- Prashant Giri
- C. G. Bhakta Institute of Biotechnology, Faculty of Science, Uka Tarsadia University, Bardoli, Surat- 394 350, Gujarat, India
| | - Radhika Bhimani
- C. G. Bhakta Institute of Biotechnology, Faculty of Science, Uka Tarsadia University, Bardoli, Surat- 394 350, Gujarat, India
| | - Siddhika Patil
- C. G. Bhakta Institute of Biotechnology, Faculty of Science, Uka Tarsadia University, Bardoli, Surat- 394 350, Gujarat, India
| | - Mitesh Dwivedi
- C. G. Bhakta Institute of Biotechnology, Faculty of Science, Uka Tarsadia University, Bardoli, Surat- 394 350, Gujarat, India.
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Yılmaz B, Çakmak Genç G, Karakaş Çelik S, Pişkin N, Horuz E, Dursun A. The 3'UTR region of the DNA repair gene PARP-1 May increase the severity of COVID-19 by altering the binding of antiviral miRNAs. Virology 2023; 583:29-35. [PMID: 37087842 PMCID: PMC10110933 DOI: 10.1016/j.virol.2023.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 04/14/2023] [Accepted: 04/17/2023] [Indexed: 04/25/2023]
Abstract
COVID-19 may cause the release of systemic inflammatory cytokines resulting in severe inflammation. PARP-1 has been identified as a nuclear enzyme that is activated by DNA strand breaks. It has been suggested that PARP-1 has a role in the cytokine storm shown as a cause of mortality in COVID-19, and its inhibition may adversely affect the replication of SARS -CoV-2. We aimed to investigate the relationship between PARP-1 gene polymorphisms and the clinical severity of COVID-19. rs8679 TT genotype was found to increase with the COVID-19 disease severity. The 3'UTR polymorphism rs8679 may cause PARP-1 activity as a result of viral replication increase by changing the binding site of antiviral or anti-inflammatory miRNAs. PARP-1 may affect the severity of COVID-19 by cytokine release and maybe a possible treatment target.
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Affiliation(s)
- Büşra Yılmaz
- Department of Medical Genetics, Zonguldak Bulent Ecevit University, Zonguldak, Turkey.
| | - Güneş Çakmak Genç
- Department of Medical Genetics, Zonguldak Bulent Ecevit University, Zonguldak, Turkey
| | - Sevim Karakaş Çelik
- Department of Medical Genetics, Zonguldak Bulent Ecevit University, Zonguldak, Turkey
| | - Nihal Pişkin
- Department of Infectious Disease, Zonguldak Bulent Ecevit University, Zonguldak, Turkey
| | - Emre Horuz
- Department of Infectious Disease, Zonguldak Bulent Ecevit University, Zonguldak, Turkey
| | - Ahmet Dursun
- Department of Medical Genetics, Zonguldak Bulent Ecevit University, Zonguldak, Turkey
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Piperi C, Saurty-Seerunghen MS, Levidou G, Sepsa A, Trigka EA, Klonou A, Markouli M, Strepkos D, Spyropoulou A, Kanakoglou DS, Lakiotaki E, Karatrasoglou EA, Boviatsis E, El-Habr EA, Korkolopoulou P. Glioma Cells Expressing High Levels of ALDH5A1 Exhibit Enhanced Migration Transcriptional Signature in Patient Tumors. Neurotherapeutics 2023; 20:881-895. [PMID: 36976494 PMCID: PMC10275844 DOI: 10.1007/s13311-023-01354-8] [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] [Accepted: 02/10/2023] [Indexed: 03/29/2023] Open
Abstract
Accumulating data shows that altered metabolic activity contributes to glioma development. Recently, modulation of SSADH (succinic semialdehyde dehydrogenase) expression, implicated in the catabolism of GABA neurotransmitter, was shown to impact glioma cell properties, such as proliferation, self-renewal and tumorigenicity. The purpose of this study was to investigate the clinical significance of SSADH expression in human gliomas. Using public single-cell RNA-sequencing data from glioma surgical resections, we initially grouped cancer cells according to ALDH5A1 (Aldehyde dehydrogenase 5 family member A1) expression, which encodes SSADH. Gene ontology enrichment analysis of genes differentially expressed between cancer cells expressing high or low levels of ALDH5A1, highlighted enrichment in genes implicated in cell morphogenesis and motility. In glioblastoma cell lines, ALDH5A1 knockdown inhibited cell proliferation, induced apoptosis and reduced their migratory potential. This was accompanied by a reduction in the mRNA levels of the adherens junction molecule ADAM-15 and deregulation in the expression of EMT biomarkers, with increased CDH1 and decreased vimentin mRNA levels. Evaluation of SSADH expression in a cohort of 95 gliomas using immunohistochemistry showed that SSADH expression was significantly elevated in cancer tissues compared to normal brain tissues, without any significant correlation with clinicopathological characteristics. In summary, our data show that SSADH is upregulated in glioma tissues irrespective of the histological grade and its expression sustains glioma cell motility.
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Affiliation(s)
- Christina Piperi
- Department of Biological Chemistry, National and Kapodistrian University of Athens, Athens, Greece
| | - Mirca S Saurty-Seerunghen
- CNRS UMR8246, Inserm U1130, Sorbonne Université, Neuroscience Paris Seine-IBPS Laboratory, Paris, France
| | - Georgia Levidou
- Department of Pathology, Medical School, Klinikum Nuremberg, Paracelsus University, Nuremberg, Germany
| | - Athanasia Sepsa
- Department of Pathology, Medical School, National and Kapodistrian University of Athens, 75 M. Asias Street, Athens, Greece
| | - Eleni-Andriana Trigka
- Department of Pathology, Medical School, National and Kapodistrian University of Athens, 75 M. Asias Street, Athens, Greece
| | - Alexia Klonou
- Department of Biological Chemistry, National and Kapodistrian University of Athens, Athens, Greece
| | - Mariam Markouli
- Department of Biological Chemistry, National and Kapodistrian University of Athens, Athens, Greece
| | - Dimitrios Strepkos
- Department of Biological Chemistry, National and Kapodistrian University of Athens, Athens, Greece
| | - Anastasia Spyropoulou
- Department of Biological Chemistry, National and Kapodistrian University of Athens, Athens, Greece
| | - Dimitrios S Kanakoglou
- Department of Pathology, Medical School, National and Kapodistrian University of Athens, 75 M. Asias Street, Athens, Greece.
| | - Eleftheria Lakiotaki
- Department of Pathology, Medical School, National and Kapodistrian University of Athens, 75 M. Asias Street, Athens, Greece
| | - Eleni A Karatrasoglou
- Department of Pathology, Medical School, National and Kapodistrian University of Athens, 75 M. Asias Street, Athens, Greece
| | - Efstathios Boviatsis
- Department of Neurosurgery, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Elias A El-Habr
- CNRS UMR8246, Inserm U1130, Sorbonne Université, Neuroscience Paris Seine-IBPS Laboratory, Paris, France
| | - Penelope Korkolopoulou
- Department of Pathology, Medical School, National and Kapodistrian University of Athens, 75 M. Asias Street, Athens, Greece.
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SNPs in 3'UTR miRNA Target Sequences Associated with Individual Drug Susceptibility. Int J Mol Sci 2022; 23:ijms232213725. [PMID: 36430200 PMCID: PMC9692299 DOI: 10.3390/ijms232213725] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 11/04/2022] [Accepted: 11/04/2022] [Indexed: 11/09/2022] Open
Abstract
The complementary interaction of microRNAs (miRNAs) with their binding sites in the 3'untranslated regions (3'UTRs) of target gene mRNAs represses translation, playing a leading role in gene expression control. MiRNA recognition elements (MREs) in the 3'UTRs of genes often contain single nucleotide polymorphisms (SNPs), which can change the binding affinity for target miRNAs leading to dysregulated gene expression. Accumulated data suggest that these SNPs can be associated with various human pathologies (cancer, diabetes, neuropsychiatric disorders, and cardiovascular diseases) by disturbing the interaction of miRNAs with their MREs located in mRNA 3'UTRs. Numerous data show the role of SNPs in 3'UTR MREs in individual drug susceptibility and drug resistance mechanisms. In this review, we brief the data on such SNPs focusing on the most rigorously proven cases. Some SNPs belong to conventional genes from the drug-metabolizing system (in particular, the genes coding for cytochromes P450 (CYP 450), phase II enzymes (SULT1A1 and UGT1A), and ABCB3 transporter and their expression regulators (PXR and GATA4)). Other examples of SNPs are related to the genes involved in DNA repair, RNA editing, and specific drug metabolisms. We discuss the gene-by-gene studies and genome-wide approaches utilized or potentially utilizable to detect the MRE SNPs associated with individual response to drugs.
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7
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DPYD Exome, mRNA Expression and Uracil Levels in Early Severe Toxicity to Fluoropyrimidines: An Extreme Phenotype Approach. J Pers Med 2021; 11:jpm11080792. [PMID: 34442436 PMCID: PMC8401253 DOI: 10.3390/jpm11080792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 08/03/2021] [Accepted: 08/12/2021] [Indexed: 11/17/2022] Open
Abstract
Dihydropyrimidine dehydrogenase deficiency is a major cause of severe fluoropyrimidine-induced toxicity and could lead to interruption of chemotherapy or life-threatening adverse reactions. This study aimed to characterize the DPYD exon sequence, mRNA expression and in vivo DPD activity by plasma uracil concentration. It was carried out in two groups of patients with extreme phenotypes (toxicity versus control) newly treated with a fluoropyrimidine, during the first three cycles of treatment. A novel nonsense gene variant (c.2197insA) was most likely responsible for fluoropyrimidine-induced toxicity in one patient, while neither DPYD mRNA expression nor plasma uracil concentration was globally associated with early toxicity. Our present work may help improve pharmacogenetic testing to avoid severe and undesirable adverse reactions to fluoropyrimidine treatment and it also supports the idea of looking beyond DPYD.
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Lange M, Begolli R, Giakountis A. Non-Coding Variants in Cancer: Mechanistic Insights and Clinical Potential for Personalized Medicine. Noncoding RNA 2021; 7:47. [PMID: 34449663 PMCID: PMC8395730 DOI: 10.3390/ncrna7030047] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 07/26/2021] [Accepted: 08/01/2021] [Indexed: 12/11/2022] Open
Abstract
The cancer genome is characterized by extensive variability, in the form of Single Nucleotide Polymorphisms (SNPs) or structural variations such as Copy Number Alterations (CNAs) across wider genomic areas. At the molecular level, most SNPs and/or CNAs reside in non-coding sequences, ultimately affecting the regulation of oncogenes and/or tumor-suppressors in a cancer-specific manner. Notably, inherited non-coding variants can predispose for cancer decades prior to disease onset. Furthermore, accumulation of additional non-coding driver mutations during progression of the disease, gives rise to genomic instability, acting as the driving force of neoplastic development and malignant evolution. Therefore, detection and characterization of such mutations can improve risk assessment for healthy carriers and expand the diagnostic and therapeutic toolbox for the patient. This review focuses on functional variants that reside in transcribed or not transcribed non-coding regions of the cancer genome and presents a collection of appropriate state-of-the-art methodologies to study them.
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Affiliation(s)
- Marios Lange
- Department of Biochemistry and Biotechnology, University of Thessaly, Biopolis, 41500 Larissa, Greece; (M.L.); (R.B.)
| | - Rodiola Begolli
- Department of Biochemistry and Biotechnology, University of Thessaly, Biopolis, 41500 Larissa, Greece; (M.L.); (R.B.)
| | - Antonis Giakountis
- Department of Biochemistry and Biotechnology, University of Thessaly, Biopolis, 41500 Larissa, Greece; (M.L.); (R.B.)
- Institute for Fundamental Biomedical Research, B.S.R.C “Alexander Fleming”, 34 Fleming Str., 16672 Vari, Greece
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Skandalaki A, Sarantis P, Theocharis S. Pregnane X Receptor (PXR) Polymorphisms and Cancer Treatment. Biomolecules 2021; 11:1142. [PMID: 34439808 PMCID: PMC8394562 DOI: 10.3390/biom11081142] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 07/28/2021] [Accepted: 07/29/2021] [Indexed: 12/20/2022] Open
Abstract
Pregnane X Receptor (PXR) belongs to the nuclear receptors' superfamily and mainly functions as a xenobiotic sensor activated by a variety of ligands. PXR is widely expressed in normal and malignant tissues. Drug metabolizing enzymes and transporters are also under PXR's regulation. Antineoplastic agents are of particular interest since cancer patients are characterized by significant intra-variability to treatment response and severe toxicities. Various PXR polymorphisms may alter the function of the protein and are linked with significant effects on the pharmacokinetics of chemotherapeutic agents and clinical outcome variability. The purpose of this review is to summarize the roles of PXR polymorphisms in the metabolism and pharmacokinetics of chemotherapeutic drugs. It is also expected that this review will highlight the importance of PXR polymorphisms in selection of chemotherapy, prediction of adverse effects and personalized medicine.
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Affiliation(s)
| | | | - Stamatios Theocharis
- First Department of Pathology, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece; (A.S.); (P.S.)
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Evaluating the Effect of 3'-UTR Variants in DICER1 and DROSHA on Their Tissue-Specific Expression by miRNA Target Prediction. Curr Issues Mol Biol 2021; 43:605-617. [PMID: 34287278 PMCID: PMC8929110 DOI: 10.3390/cimb43020044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 06/24/2021] [Accepted: 07/04/2021] [Indexed: 11/16/2022] Open
Abstract
Untranslated gene regions (UTRs) play an important role in controlling gene expression. 3'-UTRs are primarily targeted by microRNA (miRNA) molecules that form complex gene regulatory networks. Cancer genomes are replete with non-coding mutations, many of which are connected to changes in tumor gene expression that accompany the development of cancer and are associated with resistance to therapy. Therefore, variants that occurred in 3'-UTR under cancer progression should be analysed to predict their phenotypic effect on gene expression, e.g., by evaluating their impact on miRNA target sites. Here, we analyze 3'-UTR variants in DICER1 and DROSHA genes in the context of myelodysplastic syndrome (MDS) development. The key features of this analysis include an assessment of both "canonical" and "non-canonical" types of mRNA-miRNA binding and tissue-specific profiling of miRNA interactions with wild-type and mutated genes. As a result, we obtained a list of DICER1 and DROSHA variants likely altering the miRNA sites and, therefore, potentially leading to the observed tissue-specific gene downregulation. All identified variants have low population frequency consistent with their potential association with pathology progression.
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11
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Doddato G, Valentino F, Giliberti A, Papa FT, Tita R, Bruno LP, Resciniti S, Fallerini C, Benetti E, Palmieri M, Mencarelli MA, Fabbiani A, Bruttini M, Orrico A, Baldassarri M, Fava F, Lopergolo D, Lo Rizzo C, Lamacchia V, Mannucci S, Pinto AM, Currò A, Mancini V, Mari F, Renieri A, Ariani F. Exome sequencing in BRCA1-2 candidate familias: the contribution of other cancer susceptibility genes. Front Oncol 2021; 11:649435. [PMID: 34026625 PMCID: PMC8139251 DOI: 10.3389/fonc.2021.649435] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 04/06/2021] [Indexed: 12/14/2022] Open
Abstract
Hereditary Breast and Ovarian Cancer (HBOC) syndrome is a condition in which the risk of breast and ovarian cancer is higher than in the general population. The prevalent pathogenesis is attributable to inactivating variants of the BRCA1-2 highly penetrant genes, however, other cancer susceptibility genes may also be involved. By Exome Sequencing (WES) we analyzed a series of 200 individuals selected for genetic testing in BRCA1-2 genes according to the updated National Comprehensive Cancer Network (NCCN) guidelines. Analysis by MLPA was performed to detect large BRCA1-2 deletions/duplications. Focusing on BRCA1-2 genes, data analysis identified 11 cases with pathogenic variants (4 in BRCA1 and 7 in BRCA1-2) and 12 with uncertain variants (7 in BRCA1 and 5 in BRCA2). Only one case was found with a large BRCA1 deletion. Whole exome analysis allowed to characterize pathogenic variants in 21 additional genes: 10 genes more traditionally associated to breast and ovarian cancer (ATM, BRIP1, CDH1, PALB2, PTEN, RAD51C, and TP53) (5% diagnostic yield) and 11 in candidate cancer susceptibility genes (DPYD, ERBB3, ERCC2, MUTYH, NQO2, NTHL1, PARK2, RAD54L, and RNASEL). In conclusion, this study allowed a personalized risk assessment and clinical surveillance in an increased number of HBOC families and to broaden the spectrum of causative variants also to candidate non-canonical genes.
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Affiliation(s)
- Gabriella Doddato
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Floriana Valentino
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Annarita Giliberti
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Filomena Tiziana Papa
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Rossella Tita
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Lucia Pia Bruno
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Sara Resciniti
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Chiara Fallerini
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Elisa Benetti
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Maria Palmieri
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | | | - Alessandra Fabbiani
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Mirella Bruttini
- Medical Genetics, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Alfredo Orrico
- Molecular Diagnosis and Characterization of Pathogenic Mechanisms of Rare Genetic Diseases, Azienda Ospedaliera Universitaria Senese and Clinical Genetics, ASL Toscana SudEst. Ospedale della Misericordia, Grosseto, Italy
| | - Margherita Baldassarri
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Francesca Fava
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Diego Lopergolo
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Caterina Lo Rizzo
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Vittoria Lamacchia
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Sara Mannucci
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Anna Maria Pinto
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Aurora Currò
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Virginia Mancini
- Unit of Pathology, Department of Medical Biotechnology, University of Siena, Siena, Italy
| | - Francesca Mari
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Alessandra Renieri
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Francesca Ariani
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliera Universitaria Senese, Siena, Italy
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Naghiyan Fesharaki S, Naghiyan Fesharaki S, Esmaeili A, Azadeh M, Ghaedi K. SNP rs1803622 in hsa-miR-548g binding site at GAPDH alters susceptibility to breast cancer. GENE REPORTS 2020. [DOI: 10.1016/j.genrep.2020.100845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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