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Ferreira GA, Thomé CH, Izumi C, Grassi ML, Lanfredi GP, Smolka M, Faça VM, Candido Dos Reis FJ. Proteomic analysis of exosomes secreted during the epithelial-mesenchymal transition and potential biomarkers of mesenchymal high-grade serous ovarian carcinoma. J Ovarian Res 2023; 16:232. [PMID: 38031074 PMCID: PMC10685605 DOI: 10.1186/s13048-023-01304-0] [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: 08/15/2023] [Accepted: 10/28/2023] [Indexed: 12/01/2023] Open
Abstract
BACKGROUND The epithelial-mesenchymal transition (EMT) promotes cell signaling and morphology alterations, contributing to cancer progression. Exosomes, extracellular vesicles containing proteins involved in cell-cell communication, have emerged as a potential source of biomarkers for several diseases. METHODS Our aim was to assess the proteome content of exosomes secreted after EMT-induction to identify potential biomarkers for ovarian cancer classification. EMT was induced in the ovarian cancer cell line CAOV3 by treating it with EGF (10 ng/mL) for 96 h following 24 h of serum deprivation. Subsequently, exosomes were isolated from the supernatant using selective centrifugation after decellularization, and their characteristics were determined. The proteins present in the exosomes were extracted, identified, and quantified using Label-Free-Quantification (LFQ) via Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS). To identify potential biomarkers, the obtained proteomic data was integrated with the TGGA database for mRNA expression using principal component analysis and a conditional inference tree. RESULTS The exosomes derived from CAOV3 cells exhibited similar diameter and morphology, measuring approximately 150 nm, regardless of whether they were subjected to EMT stimulation or not. The proteomic analysis of proteins from CAOV3-derived exosomes revealed significant differential regulation of 157 proteins, with 100 showing upregulation and 57 downregulation upon EMT induction. Further comparison of the upregulated proteins with the TCGA transcriptomic data identified PLAU, LAMB1, COL6A1, and TGFB1 as potential biomarkers of the mesenchymal HGSOC subtype. CONCLUSIONS The induction of EMT, the isolation of exosomes, and the subsequent proteomic analysis highlight potential biomarkers for an aggressive ovarian cancer subtype. Further investigation into the role of these proteins is warranted to enhance our understanding of ovarian cancer outcomes.
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Affiliation(s)
- Germano Aguiar Ferreira
- Department of Gynecology and Obstetrics, Ribeirão Preto Medical School, Ribeirão Preto, SP, Brazil
- Regional Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, and Center for Cell Based Therapy, University of São Paulo, Ribeirão Preto, Brazil
| | - Carolina Hassibe Thomé
- Department of Gynecology and Obstetrics, Ribeirão Preto Medical School, Ribeirão Preto, SP, Brazil
- Regional Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, and Center for Cell Based Therapy, University of São Paulo, Ribeirão Preto, Brazil
| | - Clarice Izumi
- Department of Cellular and Molecular Biology and Pathogenic Bioagents, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Mariana Lopes Grassi
- Department of Biochemistry and Immunology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Guilherme Pauperio Lanfredi
- Department of Biochemistry and Immunology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Marcus Smolka
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, USA
| | - Vitor Marcel Faça
- Regional Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, and Center for Cell Based Therapy, University of São Paulo, Ribeirão Preto, Brazil
- Department of Biochemistry and Immunology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
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Niinivirta A, Salo T, Åström P, Juurikka K, Risteli M. Prognostic value of dysadherin in cancer: A systematic review and meta-analysis. Front Oncol 2022; 12:945992. [PMID: 36119538 PMCID: PMC9479204 DOI: 10.3389/fonc.2022.945992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 08/15/2022] [Indexed: 11/22/2022] Open
Abstract
Cancer is a leading cause of death worldwide and novel prognostic factors are reported with increasing numbers. Systematic reviews and meta-analyses on cumulative research data are crucial in estimating the true prognostic value of proposed factors. Dysadherin (FXYD Domain Containing Ion Transport Regulator 5; FXYD5) is a cell membrane glycoprotein that modulates Na+, K+-ATPase activity and cell-cell adhesion. It is abundantly expressed in a variety of cancer cells, but only in a limited number of normal cells and its levels are increased in many different tumor types. The expression or level of dysadherin has been suggested as an independent predictor for metastasis and poor prognosis by number of studies, yet we lack a definitive answer. In this study, we systematically evaluated the prognostic value of dysadherin in cancer and summarized the current knowledge on the subject. PubMed, Scopus, Web of Science and relevant clinical trial and preprint databases were searched for relevant publications and PRISMA and REMARK guidelines were applied in the process. After a careful review, a total of 23 original research articles were included. In each study, dysadherin was pointed as a marker for poor prognosis. Meta-analyses revealed 3- and 1.5-fold increases in the risk of death (fixed effects HR 3.08, 95% CI 1.88-5.06, RR 1.47, 95% CI 1.06-2.05 on overall survival, respectively) for patients with high (>50%) tumoral FXYD5 level. In many studies, a connection between dysadherin expression or level and metastatic behavior of the cancer as well as inverse correlation with E-cadherin level were reported. Thus, we conclude that dysadherin might be a useful prognostic biomarker in the assessment of disease survival of patients with solid tumors.
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Affiliation(s)
- Aino Niinivirta
- Cancer and Translational Medicine Research Unit, Faculty of Medicine, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Tuula Salo
- Cancer and Translational Medicine Research Unit, Faculty of Medicine, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland
- Department of Oral and Maxillofacial Diseases, University of Helsinki, and Helsinki University Central Hospital, Helsinki, Finland
- Department of Pathology (HUSLAB), Helsinki University Central Hospital, University of Helsinki, Helsinki, Finland
- Translational Immunology Research Program (TRIMM), University of Helsinki, Helsinki, Finland
| | - Pirjo Åström
- Research Unit of Biomedicine, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Krista Juurikka
- Cancer and Translational Medicine Research Unit, Faculty of Medicine, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Maija Risteli
- Cancer and Translational Medicine Research Unit, Faculty of Medicine, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland
- *Correspondence: Maija Risteli,
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Ha JH, Jayaraman M, Yan M, Dhanasekaran P, Isidoro C, Song YS, Dhanasekaran DN. Identification of GNA12-driven gene signatures and key signaling networks in ovarian cancer. Oncol Lett 2021; 22:719. [PMID: 34429759 PMCID: PMC8371953 DOI: 10.3892/ol.2021.12980] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 07/16/2021] [Indexed: 02/06/2023] Open
Abstract
With the focus on defining the oncogenic network stimulated by lysophosphatidic acid (LPA) in ovarian cancer, the present study sought to interrogate the oncotranscriptome regulated by the LPA-mediated signaling pathway. LPA, LPA-receptor (LPAR) and LPAR-activated G protein 12 α-subunit, encoded by G protein subunit α 12 (GNA12), all serve an important role in ovarian cancer progression. While the general signaling mechanism regulated by LPA/LPAR/GNA12 has previously been characterized, the global transcriptomic network regulated by GNA12 in ovarian cancer pathophysiology remains largely unknown. To define the LPA/LPAR/GNA12-orchestrated oncogenic networks in ovarian cancer, transcriptomic and bioinformatical analyses were conducted using SKOV3 cells, in which the expression of GNA12 was silenced. Array analysis was performed in Agilent SurePrint G3 Human Comparative Genomic Hybridization 8×60 microarray platform. The array results were validated using Kuramochi cells. Gene and functional enrichment analyses were performed using Database for Annotation, Visualization and Integrated Discovery, Search Tool for Retrieval of Interacting Genes and Cytoscape algorithms. The results indicated a paradigm in which GNA12 drove ovarian cancer progression by upregulating a pro-tumorigenic network with AKT1, VEGFA, TGFB1, BCL2L1, STAT3, insulin-like growth factor 1 and growth hormone releasing hormone as critical hub and/or bottleneck nodes. Moreover, GNA12 downregulated a growth-suppressive network involving proteasome 20S subunit (PSM) β6, PSM α6, PSM ATPase 5, ubiquitin conjugating enzyme E2 E1, PSM non-ATPase 10, NDUFA4 mitochondrial complex-associated, NADH:ubiquinone oxidoreductase subunit B8 and anaphase promoting complex subunit 1 as hub or bottleneck nodes. In addition to providing novel insights into the LPA/LPAR/GNA12-regulated oncogenic networks in ovarian cancer, the present study identified several potential nodes in this network that could be assessed for targeted therapy.
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Affiliation(s)
- Ji-Hee Ha
- Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma, OK 73104, USA.,Department of Cell Biology, The University of Oklahoma Health Sciences Center, Oklahoma, OK 73104, USA
| | - Muralidharan Jayaraman
- Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma, OK 73104, USA.,Department of Cell Biology, The University of Oklahoma Health Sciences Center, Oklahoma, OK 73104, USA
| | - Mingda Yan
- Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma, OK 73104, USA
| | - Padmaja Dhanasekaran
- Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma, OK 73104, USA
| | - Ciro Isidoro
- Laboratory of Molecular Pathology and NanoBioImaging, Department of Health Sciences, University of Eastern Piedmont, I-17-28100 Novara, Italy
| | - Yong-Sang Song
- Department of Obstetrics and Gynecology, Cancer Research Institute, College of Medicine, Seoul National University, Seoul 151-921, Republic of Korea
| | - Danny N Dhanasekaran
- Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma, OK 73104, USA.,Department of Cell Biology, The University of Oklahoma Health Sciences Center, Oklahoma, OK 73104, USA
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Jin M, Zhang H, Yang J, Zheng Z, Liu K. Expression mode and prognostic value of FXYD family members in colon cancer. Aging (Albany NY) 2021; 13:18404-18422. [PMID: 34270462 PMCID: PMC8351680 DOI: 10.18632/aging.203290] [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: 02/26/2021] [Accepted: 06/29/2021] [Indexed: 12/13/2022]
Abstract
The FXYD gene family comprises seven members that encode a class of small-membrane proteins characterized by an FXYD motif and interact with Na+/K+-ATPase. Until now, the expression patterns and prognostic roles of the FXYD family in colon cancer (CC) have not been systematically reported. Gene expression, methylation, clinicopathological features and the prognoses of CC patients were obtained from The Cancer Genome Atlas (TCGA) database. The expression feature and prognostic values of FXYD members were identified. Gene set enrichment analysis (GSEA) was performed to explore the potential mechanism underlying the function of the FXYD family in CC. Tumor Immune Estimation Resource (TIMER) and CIBERSORT analysis were used to assess the correlations between FXYD family members and tumor immune infiltrating cells (TIICs). FXYD family members were differentially expressed in CC except for FXYD2. FXYD2, FXYD3 and FXYD4 were revealed as independent prognostic factors for recurrence, while FXYD3 and FXYD7 were identified as prognostic factors for survival according to univariate and multivariate analyses with Cox regression. GSEA revealed that FXYD family members were involved in complicated biological functions underlying cancer progression. TIMER and CIBERSORT analyses showed significant associations between FXYD family genes and TIICs. The present study comprehensively revealed the expression mode and prognostic value of FXYD members in CC, providing insights for further study of the FXYD family as potential clinical biomarkers in CC.
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Affiliation(s)
- Ming Jin
- The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
| | - Hui Zhang
- Department of Radiation Oncology, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
| | - Jun Yang
- Ningbo Diagnostic Pathology Center, Ningbo, China
| | - Zhen Zheng
- Department of Radiation Oncology, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
| | - Kaitai Liu
- Department of Radiation Oncology, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
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Juurikka K, Dufour A, Pehkonen K, Mainoli B, Campioni Rodrigues P, Solis N, Klein T, Nyberg P, Overall CM, Salo T, Åström P. MMP8 increases tongue carcinoma cell-cell adhesion and diminishes migration via cleavage of anti-adhesive FXYD5. Oncogenesis 2021; 10:44. [PMID: 34059618 PMCID: PMC8167110 DOI: 10.1038/s41389-021-00334-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 05/03/2021] [Accepted: 05/14/2021] [Indexed: 12/28/2022] Open
Abstract
Matrix metalloproteinases (MMPs) modify bioactive factors via selective processing or degradation resulting in tumour-promoting or tumour-suppressive effects, such as those by MMP8 in various cancers. We mapped the substrates of MMP8 to elucidate its previously shown tumour-protective role in oral tongue squamous cell carcinoma (OTSCC). MMP8 overexpressing (+) HSC-3 cells, previously demonstrated to have reduced migration and invasion, showed enhanced cell-cell adhesion. By analysing the secretomes of MMP8 + and control cells with terminal amine isotopic labelling of substrates (TAILS) coupled with liquid chromatography and tandem mass spectrometry (LC-MS/MS), we identified 36 potential substrates of MMP8, including FXYD domain-containing ion transport regulator 5 (FXYD5). An anti-adhesive glycoprotein FXYD5 has been previously shown to predict poor survival in OTSCC. Cleavage of FXYD5 by MMP8 was confirmed using recombinant proteins. Furthermore, we detected a loss of FXYD5 levels on cell membrane of MMP8 + cells, which was rescued by inhibition of the proteolytic activity of MMP8. Silencing (si) FXYD5 increased the cell-cell adhesion of control but not that of MMP8 + cells. siFXYD5 diminished the viability and motility of HSC-3 cells independent of MMP8 and similar effects were seen in another tongue cancer cell line, SCC-25. FXYD5 is a novel substrate of MMP8 and reducing FXYD5 levels either with siRNA or cleavage by MMP8 increases cell adhesion leading to reduced motility. FXYD5 being a known prognostic factor in OTSCC, our findings strengthen its potential as a therapeutic target.
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Affiliation(s)
- K Juurikka
- Cancer and Translational Medicine Research Unit, Faculty of Medicine, University of Oulu, Oulu, Finland.,Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - A Dufour
- Department of Physiology & Pharmacology, University of Calgary, Calgary, Canada.,Department of Oral Biological and Medical Sciences, Faculty of Dentistry, Centre for Blood Research, and Department of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, Canada
| | - K Pehkonen
- Cancer and Translational Medicine Research Unit, Faculty of Medicine, University of Oulu, Oulu, Finland.,Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - B Mainoli
- Department of Physiology & Pharmacology, University of Calgary, Calgary, Canada
| | - P Campioni Rodrigues
- Cancer and Translational Medicine Research Unit, Faculty of Medicine, University of Oulu, Oulu, Finland.,Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - N Solis
- Department of Oral Biological and Medical Sciences, Faculty of Dentistry, Centre for Blood Research, and Department of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, Canada
| | - T Klein
- Department of Oral Biological and Medical Sciences, Faculty of Dentistry, Centre for Blood Research, and Department of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, Canada
| | - P Nyberg
- Cancer and Translational Medicine Research Unit, Faculty of Medicine, University of Oulu, Oulu, Finland.,Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland.,Biobank Borealis of Northern Finland, Oulu University Hospital, Oulu, Finland
| | - C M Overall
- Department of Oral Biological and Medical Sciences, Faculty of Dentistry, Centre for Blood Research, and Department of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, Canada
| | - T Salo
- Cancer and Translational Medicine Research Unit, Faculty of Medicine, University of Oulu, Oulu, Finland.,Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland.,Department of Oral and Maxillofacial Diseases, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,Helsinki University Hospital, Helsinki, Finland.,Translational Immunology Research Program (TRIMM), University of Helsinki, Helsinki, Finland
| | - P Åström
- Cancer and Translational Medicine Research Unit, Faculty of Medicine, University of Oulu, Oulu, Finland. .,Department of Oral Biological and Medical Sciences, Faculty of Dentistry, Centre for Blood Research, and Department of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, Canada. .,Research Unit of Biomedicine, Faculty of Medicine, University of Oulu, Oulu, Finland.
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6
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Li X, Liu Y, Zheng S, Zhang T, Wu J, Sun Y, Zhang J, Liu G. Role of exosomes in the immune microenvironment of ovarian cancer. Oncol Lett 2021; 21:377. [PMID: 33777201 PMCID: PMC7988709 DOI: 10.3892/ol.2021.12638] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Accepted: 01/27/2021] [Indexed: 12/12/2022] Open
Abstract
Exosomes are excretory vesicles that can deliver a variety of bioactive cargo molecules to the extracellular environment. Accumulating evidence demonstrates exosome participation in intercellular communication, immune response, inflammatory response and they even play an essential role in affecting the tumor immune microenvironment. The role of exosomes in the immune microenvironment of ovarian cancer is mainly divided into suppression and stimulation. On one hand exosomes can stimulate the innate and adaptive immune systems by activating dendritic cells (DCs), natural killer cells and T cells, allowing these immune cells exert an antitumorigenic effect. On the other hand, ovarian cancer-derived exosomes initiate cross-talk with immunosuppressive effector cells, which subsequently cause immune evasion; one of the hallmarks of cancer. Exosomes induce the polarization of macrophages in M2 phenotype and induce apoptosis of lymphocytes and DCs. Exosomes further activate additional immunosuppressive effector cells (myeloid-derived suppressor cells and regulatory T cells) that induce fibroblasts to differentiate into cancer-associated fibroblasts. Exosomes also induce the tumorigenicity of mesenchymal stem cells to exert additional immune suppression. Furthermore, besides mediating the intercellular communication, exosomes carry microRNAs (miRNAs), proteins and lipids to the tumor microenvironment, which collectively promotes ovarian cancer cells to proliferate, invade and tumors to metastasize. Studying proteins, lipids and miRNAs carried by exosomes could potentially be used as an early diagnostic marker of ovarian cancer for designing treatment strategies.
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Affiliation(s)
- Xiao Li
- Department of Obstetrics and Gynecology, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
| | - Yang Liu
- Department of Obstetrics and Gynecology, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
| | - Shuangshuang Zheng
- Department of Obstetrics and Gynecology, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
| | - Tianyu Zhang
- Department of Obstetrics and Gynecology, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
| | - Jing Wu
- Department of Obstetrics and Gynecology, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
| | - Yue Sun
- Department of Obstetrics and Gynecology, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
| | - Jingzi Zhang
- Department of Obstetrics and Gynecology, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
| | - Guoyan Liu
- Department of Gynecology, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
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7
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Pan S, Zhou G, Hu W, Pei H. SMAD-6, -7 and -9 are potential molecular biomarkers for the prognosis in human lung cancer. Oncol Lett 2020; 20:2633-2644. [PMID: 32782581 PMCID: PMC7401007 DOI: 10.3892/ol.2020.11851] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Accepted: 05/13/2020] [Indexed: 12/24/2022] Open
Abstract
SMADs, a family of proteins that function as signal transducers and transcriptional regulators to regulate various signaling pathways, including the transforming growth factor-β signaling pathway, are similar to the mothers against decapentaplegic family of genes and the sma gene family in Caenorhabditis elegans. SMADs generate context-dependent modulation by interacting with various sequence-specific transcription factors, such as E2F4/5, c-Fos, GATA3, YY1 and SRF, which have been found to serve a key role in lung carcinoma oncogenesis and progression. However, the prognostic values of the eight SMADs in lung cancer have not been fully understood. In the present study, the expression levels and survival data of SMADs in patients with lung carcinoma from the Oncomine, Gene Expression Profiling Interactive Analysis, Kaplan-Meier plotter and cBioPortal databases were downloaded and analyzed. It was found that the mRNA expression levels of SMAD-6, -7 and -9 were decreased in lung adenocarcinoma and squamous cell carcinoma compared with that in adjacent normal tissues, while there was no significant difference in SMADs 1-5. Survival analysis revealed that not only were low transcriptional levels of SMAD-6, -7 and -9 associated with low overall survival but they also had prognostic role for progression-free survival and post-progression survival (P<0.05) in patients with lung carcinoma. In conclusion, the present study demonstrated that SMAD-6, -7 and -9 are potential biomarkers for the prognosis of patients with lung carcinoma.
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Affiliation(s)
- Shuxian Pan
- State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou, Jiangsu 215123, P.R. China
- Department of Radiation Oncology, Yancheng Third People's Hospital, Yancheng, Jiangsu 224000, P.R. China
| | - Guangming Zhou
- State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou, Jiangsu 215123, P.R. China
| | - Wentao Hu
- State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou, Jiangsu 215123, P.R. China
| | - Hailong Pei
- State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou, Jiangsu 215123, P.R. China
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Integrated Transcriptomic Analysis Reveals the Molecular Mechanism of Meningiomas by Weighted Gene Coexpression Network Analysis. BIOMED RESEARCH INTERNATIONAL 2020; 2020:4927547. [PMID: 32596316 PMCID: PMC7303753 DOI: 10.1155/2020/4927547] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 04/28/2020] [Accepted: 05/09/2020] [Indexed: 02/04/2023]
Abstract
Meningiomas are the most common primary intracranial tumor in adults. However, to date, systemic coexpression analyses for meningiomas fail to explain its pathogenesis. The aim of the present study was to construct coexpression modules and identify potential biomarkers associated with meningioma progression. Weighted gene coexpression network analysis (WGCNA) was performed based on GSE43290, and module preservation was tested by GSE74385. Functional annotations were performed to analyze biological significance. Hub genes were selected for efficacy evaluations and correlation analyses using two independent cohorts. A total of 14 coexpression modules were identified, and module lightcyan was significantly associated with WHO grades. Functional enrichment analyses of module lightcyan were associated with tumor pathogenesis. The top 10 hub genes were extracted. Ten biomarkers, particularly AHCYL2, FGL2, and KCNMA1, were significantly related to grades and prognosis of meningioma. These findings not only construct coexpression modules leading to the better understanding of its pathogenesis but also provide potential biomarkers that represent specific on tumor grades and identify recurrence, predicting prognosis and progression of meningiomas.
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