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Myo Min KK, Ffrench CB, McClure BJ, Ortiz M, Dorward EL, Samuel MS, Ebert LM, Mahoney MG, Bonder CS. Desmoglein-2 as a cancer modulator: friend or foe? Front Oncol 2023; 13:1327478. [PMID: 38188287 PMCID: PMC10766750 DOI: 10.3389/fonc.2023.1327478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 12/04/2023] [Indexed: 01/09/2024] Open
Abstract
Desmoglein-2 (DSG2) is a calcium-binding single pass transmembrane glycoprotein and a member of the large cadherin family. Until recently, DSG2 was thought to only function as a cell adhesion protein embedded within desmosome junctions designed to enable cells to better tolerate mechanical stress. However, additional roles for DSG2 outside of desmosomes are continuing to emerge, particularly in cancer. Herein, we review the current literature on DSG2 in cancer and detail its impact on biological functions such as cell adhesion, proliferation, migration, invasion, intracellular signaling, extracellular vesicle release and vasculogenic mimicry. An increased understanding of the diverse repertoire of the biological functions of DSG2 holds promise to exploit this cell surface protein as a potential prognostic biomarker and/or target for better patient outcomes. This review explores the canonical and non-canonical functions of DSG2, as well as the context-dependent impacts of DSG2 in the realm of cancer.
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Affiliation(s)
- Kay K. Myo Min
- Centre for Cancer Biology, SA Pathology and the University of South Australia, Adelaide, SA, Australia
| | - Charlie B. Ffrench
- Centre for Cancer Biology, SA Pathology and the University of South Australia, Adelaide, SA, Australia
| | - Barbara J. McClure
- Centre for Cancer Biology, SA Pathology and the University of South Australia, Adelaide, SA, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
| | - Michael Ortiz
- Centre for Cancer Biology, SA Pathology and the University of South Australia, Adelaide, SA, Australia
| | - Emma L. Dorward
- Centre for Cancer Biology, SA Pathology and the University of South Australia, Adelaide, SA, Australia
| | - Michael S. Samuel
- Centre for Cancer Biology, SA Pathology and the University of South Australia, Adelaide, SA, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
- Basil Hetzel Institute, Queen Elizabeth Hospital, SA, Adelaide, Australia
| | - Lisa M. Ebert
- Centre for Cancer Biology, SA Pathology and the University of South Australia, Adelaide, SA, Australia
- Royal Adelaide Hospital, Adelaide, SA, Australia
| | - Mỹ G. Mahoney
- Department of Pharmacology, Physiology, and Cancer Biology, Thomas Jefferson University, Philadelphia, PA, United States
| | - Claudine S. Bonder
- Centre for Cancer Biology, SA Pathology and the University of South Australia, Adelaide, SA, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
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Reza MS, Hossen MA, Harun-Or-Roshid M, Siddika MA, Kabir MH, Mollah MNH. Metadata analysis to explore hub of the hub-genes highlighting their functions, pathways and regulators for cervical cancer diagnosis and therapies. Discov Oncol 2022; 13:79. [PMID: 35994213 PMCID: PMC9395557 DOI: 10.1007/s12672-022-00546-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Accepted: 08/11/2022] [Indexed: 11/25/2022] Open
Abstract
Cervical cancer (CC) is considered as the fourth most common women cancer globally.that shows malignant features of local infiltration and invasion into adjacent organs and tissues. There are several individual studies in the literature that explored CC-causing hub-genes (HubGs), however, we observed that their results are not so consistent. Therefore, the main objective of this study was to explore hub of the HubGs (hHubGs) that might be more representative CC-causing HubGs compare to the single study based HubGs. We reviewed 52 published articles and found 255 HubGs/studied-genes in total. Among them, we selected 10 HubGs (CDK1, CDK2, CHEK1, MKI67, TOP2A, BRCA1, PLK1, CCNA2, CCNB1, TYMS) as the hHubGs by the protein-protein interaction (PPI) network analysis. Then, we validated their differential expression patterns between CC and control samples through the GPEA database. The enrichment analysis of HubGs revealed some crucial CC-causing biological processes (BPs), molecular functions (MFs) and cellular components (CCs) by involving hHubGs. The gene regulatory network (GRN) analysis identified four TFs proteins and three miRNAs as the key transcriptional and post-transcriptional regulators of hHubGs. Then, we identified hHubGs-guided top-ranked FDA-approved 10 candidate drugs and validated them against the state-of-the-arts independent receptors by molecular docking analysis. Finally, we investigated the binding stability of the top-ranked three candidate drugs (Docetaxel, Temsirolimus, Paclitaxel) by using 100 ns MD-based MM-PBSA simulations and observed their stable performance. Therefore the finding of this study might be the useful resources for CC diagnosis and therapies.
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Affiliation(s)
- Md. Selim Reza
- Bioinformatics Lab, Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh
| | - Md. Alim Hossen
- Bioinformatics Lab, Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh
| | - Md. Harun-Or-Roshid
- Bioinformatics Lab, Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh
| | - Mst. Ayesha Siddika
- Microbiology Lab, Department of Veterinary and Animal Sciences, University of Rajshahi, Rajshahi-6205, Bangladesh
| | - Md. Hadiul Kabir
- Bioinformatics Lab, Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh
| | - Md. Nurul Haque Mollah
- Bioinformatics Lab, Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh
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Bioinformatics Screening of Potential Biomarkers from mRNA Expression Profiles to Discover Drug Targets and Agents for Cervical Cancer. Int J Mol Sci 2022; 23:ijms23073968. [PMID: 35409328 PMCID: PMC8999699 DOI: 10.3390/ijms23073968] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 03/13/2022] [Accepted: 03/22/2022] [Indexed: 02/06/2023] Open
Abstract
Bioinformatics analysis has been playing a vital role in identifying potential genomic biomarkers more accurately from an enormous number of candidates by reducing time and cost compared to the wet-lab-based experimental procedures for disease diagnosis, prognosis, and therapies. Cervical cancer (CC) is one of the most malignant diseases seen in women worldwide. This study aimed at identifying potential key genes (KGs), highlighting their functions, signaling pathways, and candidate drugs for CC diagnosis and targeting therapies. Four publicly available microarray datasets of CC were analyzed for identifying differentially expressed genes (DEGs) by the LIMMA approach through GEO2R online tool. We identified 116 common DEGs (cDEGs) that were utilized to identify seven KGs (AURKA, BRCA1, CCNB1, CDK1, MCM2, NCAPG2, and TOP2A) by the protein–protein interaction (PPI) network analysis. The GO functional and KEGG pathway enrichment analyses of KGs revealed some important functions and signaling pathways that were significantly associated with CC infections. The interaction network analysis identified four TFs proteins and two miRNAs as the key transcriptional and post-transcriptional regulators of KGs. Considering seven KGs-based proteins, four key TFs proteins, and already published top-ranked seven KGs-based proteins (where five KGs were common with our proposed seven KGs) as drug target receptors, we performed their docking analysis with the 80 meta-drug agents that were already published by different reputed journals as CC drugs. We found Paclitaxel, Vinorelbine, Vincristine, Docetaxel, Everolimus, Temsirolimus, and Cabazitaxel as the top-ranked seven candidate drugs. Finally, we investigated the binding stability of the top-ranked three drugs (Paclitaxel, Vincristine, Vinorelbine) by using 100 ns MD-based MM-PBSA simulations with the three top-ranked proposed receptors (AURKA, CDK1, TOP2A) and observed their stable performance. Therefore, the proposed drugs might play a vital role in the treatment against CC.
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Ning Y, Roberts NJ, Qi J, Peng Z, Long Z, Zhou S, Gu J, Hou Z, Yang E, Ren Y, Lang J, Liang Z, Zhang M, Ma J, Jiang G. Inbreeding status and implications for Amur tigers. Anim Conserv 2021. [DOI: 10.1111/acv.12761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Y. Ning
- College of Life Science Jilin Agricultural University Changchun China
- Feline Research Center of National Forestry and Grassland Administration College of Wildlife and Protected Area Northeast Forestry University Harbin China
| | - N. J. Roberts
- Feline Research Center of National Forestry and Grassland Administration College of Wildlife and Protected Area Northeast Forestry University Harbin China
| | - J. Qi
- Feline Research Center of National Forestry and Grassland Administration College of Wildlife and Protected Area Northeast Forestry University Harbin China
- School of Forestry Northeast Forestry University Harbin China
| | - Z. Peng
- School of Basic Medical Sciences Nanchang University Nanchang China
| | - Z. Long
- Feline Research Center of National Forestry and Grassland Administration College of Wildlife and Protected Area Northeast Forestry University Harbin China
| | - S. Zhou
- Heilongjiang Research Institute of Wildlife Harbin China
| | - J. Gu
- Feline Research Center of National Forestry and Grassland Administration College of Wildlife and Protected Area Northeast Forestry University Harbin China
| | - Z. Hou
- College of Wildlife and Protected Area Northeast Forestry University Harbin China
| | - E. Yang
- Wildlife Conservation Society Hunchun China
| | - Y. Ren
- Wildlife Conservation Society Hunchun China
| | - J. Lang
- Jilin Hunchun Amur Tiger National Nature Reserve Hunchun China
| | - Z. Liang
- Heilongjiang Laoyeling Amur Tiger National Nature Reserve Dongning China
| | - M. Zhang
- Feline Research Center of National Forestry and Grassland Administration College of Wildlife and Protected Area Northeast Forestry University Harbin China
| | - J. Ma
- Feline Research Center of National Forestry and Grassland Administration College of Wildlife and Protected Area Northeast Forestry University Harbin China
| | - G. Jiang
- Feline Research Center of National Forestry and Grassland Administration College of Wildlife and Protected Area Northeast Forestry University Harbin China
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Chen W, Huang S, Shi K, Yi L, Liu Y, Liu W. Prognostic Role of Matrix Metalloproteinases in Cervical Cancer: A Meta-Analysis. Cancer Control 2021; 28:10732748211033743. [PMID: 34482737 PMCID: PMC8424604 DOI: 10.1177/10732748211033743] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE Studies have published the association between the expression of matrix metalloproteinases (MMPs) and the outcome of cervical cancer. However, the prognostic value in cervical cancer remains controversial. This meta-analysis was conducted to evaluate the prognostic functions of MMP expression in cervical cancer. METHODS A comprehensive search of PubMed, Embase, and Web of Science databases was conducted to identify the eligible studies according to defined selection and excluding criteria and analyzed according to Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Fixed and random effects models were evaluated through the hazard ratios (HRs) and 95% confidence intervals (CIs) to estimate the overall survival (OS), recurrence-free survival (RFS), and progress-free survival (PFS). RESULTS A total of 18 eligible studies including 1967 patients were analyzed for prognostic value. Totally 16 selected studies including 21 tests were relevant to the cervical cancer OS, 4 studies focused on RFS, and 1 study on PFS. The combined pooled HRs and 95% CIs of OS were calculated with random-effects models (HR = 1.64, 95% CI = 1.01-2.65, P = .000). In the subgroup analysis for OS, there was no heterogeneity in MMP-2 (I2 = .0%, P = .880), MMP-1 (I2 = .0%, P = .587), and MMP-14 (I2 = 28.3%, P = .248). In MMP-7 and MMP-9, the heterogeneities were obvious (I2 = 99.2% (P = .000) and I2 = 77.9% (P = .000), respectively). The pooled HRs and 95% CIs of RFS were calculated with fixed-effects models (HR = 2.22, 95% CI = 1.38-3.58, P = .001) and PFS (HR = 2.29, 95% CI = 1.14-4.58, P = .035). CONCLUSIONS The results indicated that MMP overexpression was associated with shorter OS and RFS in cervical cancer patients. It suggested that MMP overexpression might be a poor prognostic marker in cervical cancer. Research Registry Registration Number: reviewregistry 1159.
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Affiliation(s)
- Weiwei Chen
- Department of Obstetrics and Gynecology, 159390Guangzhou Women and Children's Medical Center, Guangzhou City, Guangdong Province, China
| | - Shenjiao Huang
- Department of Obstetrics and Gynecology, 159390Guangzhou Women and Children's Medical Center, Guangzhou City, Guangdong Province, China
| | - Kun Shi
- Department of Obstetrics and Gynecology, 159390Guangzhou Women and Children's Medical Center, Guangzhou City, Guangdong Province, China
| | - Lisha Yi
- Department of Obstetrics and Gynecology, 159390Guangzhou Women and Children's Medical Center, Guangzhou City, Guangdong Province, China
| | - Yaqiong Liu
- Department of Obstetrics and Gynecology, 159390Guangzhou Women and Children's Medical Center, Guangzhou City, Guangdong Province, China
| | - Wenjie Liu
- Department of Obstetrics and Gynecology, 159390Guangzhou Women and Children's Medical Center, Guangzhou City, Guangdong Province, China
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Zhang T, Liu Q, Yu M, Lan Y, Zhou J. Expression Profiles Reveal Involvement of VEGF, IGF1, BIRC5, and MMP1 in Vulvar Carcinogenesis. Technol Cancer Res Treat 2021; 20:15330338211004922. [PMID: 33888009 PMCID: PMC8071978 DOI: 10.1177/15330338211004922] [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] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVE The objective of this study was to identify key genes and shed light on the underlying molecular mechanisms of vulvar squamous cell carcinoma (VSCC). METHODS Bioinformatic software was utilized for the identification and characterization of key differentially expressed genes (DEGs) from microarrays GSE63678 and GSE38228, which contain VSCC and normal vulvar tissue data. These microarrays were obtained from Gene Expression Omnibus (GEO). Immunohistochemical assays (55 VSCC and 50 normal vulvar tissues) were utilized to validate the expression of VEGF, IGF1, BIRC5, and MMP1 screened from the identified DEGs. SPSS 18.0 software was used for statistical analyses of the relationships between IGF1, BIRC5, VEGF, MMP1 expression levels and patient clinicopathological characteristics. RESULTS A total of 141 DEGs were identified, among which 18 genes were closely correlated with the biological characteristics of VSCC. Four of the 18 genes (VEGF, IGF1, BIRC5, and MMP1) screened from the GEO database were markedly enriched in pathways in cancer (P < 0.05), and could be considered key genes in VSCC based on KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analysis in DAVID (Database for Annotation, Visualization and Integrated Discovery).The expression levels of these 4 hub genes, determined by immunohistochemical assays, were consistent with the bioinformatics results. Higher expression of IGF1 showed significant association with well-differentiated carcinomas (P = 0.017).BIRC5 expression levels showed a positive correlation with clinical stage (P = 0.039); compared with those in menopause for over 10 years, patients in menopause for less than 10 years at the time of diagnosis tended to have significantly higher expression of BIRC5 (P = 0.003). VEGF and MMP1 expression levels were not correlated with any of the tested clinicopathological characteristics. CONCLUSION VEGF, IGF1, BIRC5, and MMP1 were identified as being associated with VSCC using integrated bioinformatic methods, which may provide important insights into the pathogenesis of this disease and help to identify new biomarkers.
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Affiliation(s)
- Tao Zhang
- Department of Gynecology, Women's Hospital School of Medicine Zhejiang University, Hangzhou, Zhejiang, People's Republic of China
| | - Qin Liu
- Department of Pathology, Women's Hospital School of Medicine Zhejiang University, Hangzhou, Zhejiang, People's Republic of China
| | - Minghua Yu
- Department of Pathology, Women's Hospital School of Medicine Zhejiang University, Hangzhou, Zhejiang, People's Republic of China
| | - Yibing Lan
- Department of Gynecology, Women's Hospital School of Medicine Zhejiang University, Hangzhou, Zhejiang, People's Republic of China
| | - Jianghong Zhou
- Department of Gynecology, Women's Hospital School of Medicine Zhejiang University, Hangzhou, Zhejiang, People's Republic of China
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Five candidate biomarkers associated with the diagnosis and prognosis of cervical cancer. Biosci Rep 2021; 41:227898. [PMID: 33616161 PMCID: PMC7955105 DOI: 10.1042/bsr20204394] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 02/02/2021] [Accepted: 02/17/2021] [Indexed: 02/06/2023] Open
Abstract
Purpose: Cervical cancer (CC) is one of the most general gynecological malignancies and is associated with high morbidity and mortality. We aimed to select candidate genes related to the diagnosis and prognosis of CC. Methods: The mRNA expression profile datasets were downloaded. We also downloaded RNA-sequencing gene expression data and related clinical materials from TCGA, which included 307 CC samples and 3 normal samples. Differentially expressed genes (DEGs) were obtained by R software. GO function analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs were performed in the DAVID dataset. Using machine learning, the optimal diagnostic mRNA biomarkers for CC were identified. We used qRT-PCR and Human Protein Atlas (HPA) database to exhibit the differences in gene and protein levels of candidate genes. Results: A total of 313 DEGs were screened from the microarray expression profile datasets. DNA methyltransferase 1 (DNMT1), Chromatin Assembly Factor 1, subunit B (CHAF1B), Chromatin Assembly Factor 1, subunit A (CHAF1A), MCM2, CDKN2A were identified as optimal diagnostic mRNA biomarkers for CC. Additionally, the GEPIA database showed that the DNMT1, CHAF1B, CHAF1A, MCM2 and CDKN2A were associated with the poor survival of CC patients. HPA database and qRT-PCR confirmed that these genes were highly expressed in CC tissues. Conclusion: The present study identified five DEmRNAs, including DNMT1, CHAF1B, CHAF1A, MCM2 and Kinetochore-related protein 1 (KNTC1), as potential diagnostic and prognostic biomarkers of CC.
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