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Annexin A5 suppression promotes the progression of cervical cancer. Arch Gynecol Obstet 2023; 307:937-943. [PMID: 35796796 DOI: 10.1007/s00404-022-06524-1] [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: 08/07/2020] [Accepted: 03/10/2022] [Indexed: 11/02/2022]
Abstract
BACKGROUND Cervical cancer is a common malignant gynecological disease that threatens the health of women all over the world. The abnormal expression of Annexin A5 (ANXA5) is closely related to the biological behavior of various malignant tumors, however, the relationship between ANXA5 and cervical cancer is still unclear. Therefore, the effects of low expression of ANXA5 on the proliferation, apoptosis, migration and invasion of cervical cancer cells (HeLa) and its related mechanism were explored. METHODS The cells were divided into three groups: ANXA5-si group, negative control group and blank group. RNA interference was used to suppress ANXA5 expression. 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay, colony formation assay, flow cytometry and propidium iodide (PI) staining, wound healing assay and transwell assay were employed to detect cell proliferation, apoptosis, migration and invasion respectively. Meanwhile, gene expression was detected by qPCR and Western blotting. RESULTS ANXA5 suppression lead to the increase of proliferation, migration, invasion and the decrease of apoptosis of cervical cancer HeLa cells. Furthermore, the expression of both pPI3K and pAkt increased. CONCLUSION ANXA5 might inhibit Hela cells proliferation and metastasis by regulating PI3K/Akt signal pathway.
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Calianese D, Kreiss T, Kasikara C, Davra V, Lahey KC, Gadiyar V, Geng K, Singh S, Honnen W, Jaijyan DK, Reichman C, Siekierka J, Gennaro ML, Kotenko SV, Ucker DS, Brekken RA, Pinter A, Birge RB, Choudhary A. Phosphatidylserine-Targeting Monoclonal Antibodies Exhibit Distinct Biochemical and Cellular Effects on Anti-CD3/CD28-Stimulated T Cell IFN-γ and TNF-α Production. THE JOURNAL OF IMMUNOLOGY 2021; 207:436-448. [PMID: 34215655 DOI: 10.4049/jimmunol.2000763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 05/11/2021] [Indexed: 11/19/2022]
Abstract
Phosphatidylserine (PS)-targeting monoclonal Abs (mAbs) that directly target PS and target PS via β2-gp1 (β2GP1) have been in preclinical and clinical development for over 10 y for the treatment of infectious diseases and cancer. Although the intended targets of PS-binding mAbs have traditionally included pathogens as well as stressed tumor cells and its associated vasculature in oncology, the effects of PS-targeting mAbs on activated immune cells, notably T cells, which externalize PS upon Ag stimulation, is not well understood. Using human T cells from healthy donor PBMCs activated with an anti-CD3 + anti-CD28 Ab mixture (anti-CD3/CD28) as a model for TCR-mediated PS externalization and T cell stimulation, we investigated effects of two different PS-targeting mAbs, 11.31 and bavituximab (Bavi), on TCR activation and TCR-mediated cytokine production in an ex vivo paradigm. Although 11.31 and Bavi bind selectivity to anti-CD3/28 activated T cells in a PS-dependent manner, surprisingly, they display distinct functional activities in their effect on IFN-γ and TNF-ɑ production, whereby 11.31, but not Bavi, suppressed cytokine production. This inhibitory effect on anti-CD3/28 activated T cells was observed on both CD4+ and CD8+ cells and independently of monocytes, suggesting the effects of 11.31 were directly mediated by binding to externalized PS on activated T cells. Imaging showed 11.31 and Bavi bind at distinct focal depots on the cell membrane. Collectively, our findings indicate that PS-targeting mAb 11.31 suppresses cytokine production by anti-CD3/28 activated T cells.
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Affiliation(s)
- David Calianese
- Department of Microbiology, Biochemistry and Molecular Genetics, New Jersey Medical School Cancer Center, Rutgers University, Newark, NJ
| | - Tamara Kreiss
- Department of Microbiology, Biochemistry and Molecular Genetics, New Jersey Medical School Cancer Center, Rutgers University, Newark, NJ.,Department of Chemistry and Biochemistry, The Herman and Margaret Sokol Institute for Pharmaceutical Life Sciences, Montclair State University, Montclair, NJ
| | - Canan Kasikara
- Department of Microbiology, Biochemistry and Molecular Genetics, New Jersey Medical School Cancer Center, Rutgers University, Newark, NJ
| | - Viralkumar Davra
- Department of Microbiology, Biochemistry and Molecular Genetics, New Jersey Medical School Cancer Center, Rutgers University, Newark, NJ
| | - Kevin C Lahey
- Department of Microbiology, Biochemistry and Molecular Genetics, New Jersey Medical School Cancer Center, Rutgers University, Newark, NJ
| | - Varsha Gadiyar
- Department of Microbiology, Biochemistry and Molecular Genetics, New Jersey Medical School Cancer Center, Rutgers University, Newark, NJ
| | - Ke Geng
- Department of Microbiology, Biochemistry and Molecular Genetics, New Jersey Medical School Cancer Center, Rutgers University, Newark, NJ
| | - Sukhwinder Singh
- Department of Pathology and Laboratory Medicine, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, NJ
| | - William Honnen
- Public Health Research Institute Center, New Jersey Medical School, Rutgers University, Newark, NJ
| | - Dabbu Kumar Jaijyan
- Department of Microbiology, Biochemistry and Molecular Genetics, New Jersey Medical School Cancer Center, Rutgers University, Newark, NJ
| | - Charles Reichman
- Public Health Research Institute Center, New Jersey Medical School, Rutgers University, Newark, NJ
| | - John Siekierka
- Department of Chemistry and Biochemistry, The Herman and Margaret Sokol Institute for Pharmaceutical Life Sciences, Montclair State University, Montclair, NJ
| | - Maria Laura Gennaro
- Public Health Research Institute Center, New Jersey Medical School, Rutgers University, Newark, NJ
| | - Sergei V Kotenko
- Department of Microbiology, Biochemistry and Molecular Genetics, New Jersey Medical School Cancer Center, Rutgers University, Newark, NJ
| | - David S Ucker
- Department of Microbiology and Immunology, University of Illinois College of Medicine, Chicago, IL
| | - Rolf A Brekken
- Division of Surgical Oncology, Department of Surgery, Hamon Center for Therapeutic Oncology Research, Dallas, TX; and.,Department of Pharmacology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Abraham Pinter
- Public Health Research Institute Center, New Jersey Medical School, Rutgers University, Newark, NJ
| | - Raymond B Birge
- Department of Microbiology, Biochemistry and Molecular Genetics, New Jersey Medical School Cancer Center, Rutgers University, Newark, NJ
| | - Alok Choudhary
- Public Health Research Institute Center, New Jersey Medical School, Rutgers University, Newark, NJ;
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Simonetti G, Angeli D, Petracci E, Fonzi E, Vedovato S, Sperotto A, Padella A, Ghetti M, Ferrari A, Robustelli V, Di Liddo R, Conconi MT, Papayannidis C, Cerchione C, Rondoni M, Astolfi A, Ottaviani E, Martinelli G, Gottardi M. Adrenomedullin Expression Characterizes Leukemia Stem Cells and Associates With an Inflammatory Signature in Acute Myeloid Leukemia. Front Oncol 2021; 11:684396. [PMID: 34150648 PMCID: PMC8208888 DOI: 10.3389/fonc.2021.684396] [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: 03/23/2021] [Accepted: 04/23/2021] [Indexed: 12/13/2022] Open
Abstract
Adrenomedullin (ADM) is a hypotensive and vasodilator peptide belonging to the calcitonin gene-related peptide family. It is secreted in vitro by endothelial cells and vascular smooth muscle cells, and is significantly upregulated by a number of stimuli. Moreover, ADM participates in the regulation of hematopoietic compartment, solid tumors and leukemias, such as acute myeloid leukemia (AML). To better characterize ADM involvement in AML pathogenesis, we investigated its expression during human hematopoiesis and in leukemic subsets, based on a morphological, cytogenetic and molecular characterization and in T cells from AML patients. In hematopoietic stem/progenitor cells and T lymphocytes from healthy subjects, ADM transcript was barely detectable. It was expressed at low levels by megakaryocytes and erythroblasts, while higher levels were measured in neutrophils, monocytes and plasma cells. Moreover, cells populating the hematopoietic niche, including mesenchymal stem cells, showed to express ADM. ADM was overexpressed in AML cells versus normal CD34+ cells and in the subset of leukemia compared with hematopoietic stem cells. In parallel, we detected a significant variation of ADM expression among cytogenetic subgroups, measuring the highest levels in inv(16)/t(16;16) or complex karyotype AML. According to the mutational status of AML-related genes, the analysis showed a lower expression of ADM in FLT3-ITD, NPM1-mutated AML and FLT3-ITD/NPM1-mutated cases compared with wild-type ones. Moreover, ADM expression had a negative impact on overall survival within the favorable risk class, while showing a potential positive impact within the subgroup receiving a not-intensive treatment. The expression of 135 genes involved in leukemogenesis, regulation of cell proliferation, ferroptosis, protection from apoptosis, HIF-1α signaling, JAK-STAT pathway, immune and inflammatory responses was correlated with ADM levels in the bone marrow cells of at least two AML cohorts. Moreover, ADM was upregulated in CD4+ T and CD8+ T cells from AML patients compared with healthy controls and some ADM co-expressed genes participate in a signature of immune tolerance that characterizes CD4+ T cells from leukemic patients. Overall, our study shows that ADM expression in AML associates with a stem cell phenotype, inflammatory signatures and genes related to immunosuppression, all factors that contribute to therapy resistance and disease relapse.
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Affiliation(s)
- Giorgia Simonetti
- Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Davide Angeli
- Unit of Biostatistics and Clinical Trials, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Elisabetta Petracci
- Unit of Biostatistics and Clinical Trials, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Eugenio Fonzi
- Unit of Biostatistics and Clinical Trials, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Susanna Vedovato
- Department of Clinical and Experimental Medicine, University of Padova, Padua, Italy
| | - Alessandra Sperotto
- Hematology and Transplant Center Unit, Dipartimento di Area Medica (DAME), Udine University Hospital, Udine, Italy
| | - Antonella Padella
- Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Martina Ghetti
- Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Anna Ferrari
- Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Valentina Robustelli
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
- Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale, Università di Bologna, Bologna, Italy
| | - Rosa Di Liddo
- Department of Pharmaceutical and Pharmacological Sciences, University of Padova, Padua, Italy
| | - Maria Teresa Conconi
- Department of Pharmaceutical and Pharmacological Sciences, University of Padova, Padua, Italy
| | - Cristina Papayannidis
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
| | - Claudio Cerchione
- Hematology Unit, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Michela Rondoni
- Hematology Unit & Romagna Transplant Network, Ravenna Hospital, Ravenna, Italy
| | - Annalisa Astolfi
- “Giorgio Prodi” Cancer Research Center, University of Bologna, Bologna, Italy
- Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy
| | - Emanuela Ottaviani
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
| | - Giovanni Martinelli
- Scientific Directorate, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Michele Gottardi
- Onco Hematology, Department of Oncology, Veneto Institute of Oncology IOV, IRCCS, Padua, Italy
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Medina Munoz M, Brenner C, Richmond D, Spencer N, Rio RVM. The holobiont transcriptome of teneral tsetse fly species of varying vector competence. BMC Genomics 2021; 22:400. [PMID: 34058984 PMCID: PMC8166097 DOI: 10.1186/s12864-021-07729-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Accepted: 05/21/2021] [Indexed: 12/13/2022] Open
Abstract
Background Tsetse flies are the obligate vectors of African trypanosomes, which cause Human and Animal African Trypanosomiasis. Teneral flies (newly eclosed adults) are especially susceptible to parasite establishment and development, yet our understanding of why remains fragmentary. The tsetse gut microbiome is dominated by two Gammaproteobacteria, an essential and ancient mutualist Wigglesworthia glossinidia and a commensal Sodalis glossinidius. Here, we characterize and compare the metatranscriptome of teneral Glossina morsitans to that of G. brevipalpis and describe unique immunological, physiological, and metabolic landscapes that may impact vector competence differences between these two species. Results An active expression profile was observed for Wigglesworthia immediately following host adult metamorphosis. Specifically, ‘translation, ribosomal structure and biogenesis’ followed by ‘coenzyme transport and metabolism’ were the most enriched clusters of orthologous genes (COGs), highlighting the importance of nutrient transport and metabolism even following host species diversification. Despite the significantly smaller Wigglesworthia genome more differentially expressed genes (DEGs) were identified between interspecific isolates (n = 326, ~ 55% of protein coding genes) than between the corresponding Sodalis isolates (n = 235, ~ 5% of protein coding genes) likely reflecting distinctions in host co-evolution and adaptation. DEGs between Sodalis isolates included genes involved in chitin degradation that may contribute towards trypanosome susceptibility by compromising the immunological protection provided by the peritrophic matrix. Lastly, G. brevipalpis tenerals demonstrate a more immunologically robust background with significant upregulation of IMD and melanization pathways. Conclusions These transcriptomic differences may collectively contribute to vector competence differences between tsetse species and offers translational relevance towards the design of novel vector control strategies. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-07729-5.
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Affiliation(s)
- Miguel Medina Munoz
- Department of Biology, Eberly College of Arts and Sciences, West Virginia University, Morgantown, WV, 26505, USA
| | - Caitlyn Brenner
- Department of Biology, Washington and Jefferson College, Washington, PA, 15301, USA
| | - Dylan Richmond
- Department of Biology, Eberly College of Arts and Sciences, West Virginia University, Morgantown, WV, 26505, USA
| | - Noah Spencer
- Department of Biology, Eberly College of Arts and Sciences, West Virginia University, Morgantown, WV, 26505, USA
| | - Rita V M Rio
- Department of Biology, Eberly College of Arts and Sciences, West Virginia University, Morgantown, WV, 26505, USA.
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