Abnormal Immunoexpression of Cell Adhesion Molecules (CAMs) in Cervical Cancer

Méndez, Morelva Toro de; Bosch, Antonio Llombart

doi:10.1177/1066896909343435

Cited by 14 publications

(10 citation statements)

References 32 publications

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“…It clearly demonstrates that SILs lose E-cadherin immunoexpression as they progress towards severity, which is in agreement with previous studies 12,[27][28][29][30][31][32] . More interestingly, we verified that this adhesion molecule exhibits a different expression pattern according to the epithelial thickness layer.…”

Section: Discussionsupporting

confidence: 92%

Progressive loss of E-cadherin immunoexpression during cervical carcinogenesis

Cavalcante

Sampaio²,

Filho³

et al. 2014

Acta Cir. Bras.

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Brazil. Conception, design, intellectual and scientific content of the study; critical analysis; final approval of the manuscript. ABSTRACT PURPOSE:To investigate E-cadherin immunoexpression during cervical carcinogenesis. METHODS:We assessed the immunohistochemical expression of E-cadherin in squamous intraepithelial lesions (SIL -52 cases), squamous cell carcinoma (SCC) of the uterine cervix (23 cases) and also in eight cases of cervicitis. RESULTS:The results show very different E-cadherin membrane expression levels when cervicitis (88%), SILs (73%) and SCC (17%) were compared. In SILs, higher E-cadherin loss was seen in less differentiated cells in the basal third of the epithelium. This study suggests that the absence of E-cadherin expression in the membrane is a molecular event that is observed more often in SCC of the uterine cervix than in SILs or cervicitis.CONCLUSIONS: E-cadherin is an essential molecule during the process of cervical carcinogenesis and in this context exhibits a different expression pattern according to the epithelial thickness layer.

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Section: Discussionsupporting

confidence: 92%

Progressive loss of E-cadherin immunoexpression during cervical carcinogenesis

Cavalcante

Sampaio²,

Filho³

et al. 2014

Acta Cir. Bras.

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“…During the development of cervical lesions, CAMs expression is altered either in location (cytoplasmic or membrane localization) or in quantity. E-cadherin is a number of CAM family that is aberrantly expressed in cervical lesions and leads to the invasion and metastasis of this neoplasm [9]. Taken together, low expression of CAMs could facilitate the metastasis of cervical cancer.…”

Section: Dicussionmentioning

confidence: 99%

“…CAMs were enriched in TCGA samples. CAMs participate in various BPs, like differentiation, growth and apoptosis, and facilitate cellular interaction and migration [9,13,14]. In highly aggressive tumors, CAMs might show decreased immunoexpression [16].…”

Section: Dicussionmentioning

confidence: 99%

Identification of crucial aberrantly methylated and differentially expressed genes related to cervical cancer using an integrated bioinformatics analysis

Liu

Wang

et al. 2020

Bioscience Reports

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Methylation functions in the pathogenesis of cervical cancer. In the present study, we applied an integrated bioinformatics analysis to identify the aberrantly methylated and differentially expressed genes (DEGS), and their related pathways in cervical cancer. Data of gene expression microarrays (GSE9750) and gene methylation microarrays (GSE46306) were gained from Gene Expression Omnibus (GEO) databases. Hub genes were identified by ‘limma’ packages and Venn diagram tool. Functional analysis was conducted by FunRich. Search Tool for the Retrieval of Interacting Genes Database (STRING) was used to analyze protein–protein interaction (PPI) information. Gene Expression Profiling Interactive Analysis (GEPIA), immunohistochemistry staining, and ROC curve analysis were conducted for validation. Gene Set Enrichment Analysis (GSEA) was also performed to identify potential functions.We retrieved two upregulated-hypomethylated oncogenes and eight downregulated-hypermethylated tumor suppressor genes (TSGs) for functional analysis. Hypomethylated and highly expressed genes (Hypo-HGs) were significantly enriched in cell cycle and autophagy, and hypermethylated and lowly expressed genes (Hyper-LGs) in estrogen receptor pathway and Wnt/β-catenin signaling pathway. Estrogen receptor 1 (ESR1), Erythrocyte membrane protein band 4.1 like 3 (EPB41L3), Endothelin receptor B (EDNRB), Inhibitor of DNA binding 4 (ID4) and placenta-specific 8 (PLAC8) were hub genes. Kaplan–Meier method was used to evaluate survival data of each identified gene. Lower expression levels of ESR1 and EPB41L3 were correlated with a shorter survival time. GSEA results showed that ‘cell adhesion molecules’ was the most enriched item. This research inferred the candidate genes and pathways that might be used in the diagnosis, treatment, and prognosis of cervical cancer.

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“…Pathway enrichment databases involved: Kyoto Encyclopedia of Genes and Genomes (KEGG) and Reactome. Cell adhesion molecules (CAMs) play an important role in the tumorigenesis of cervical cancer [20]. The up-regulation of cyclin B1/Cdc2 plays a pivotal role in treated breast cancer cells in human in stagnation of Mitotic Prometaphase [21].…”

Section: Resultsmentioning

confidence: 99%

A new method for mining information of co-expression network based on multi-cancers integrated data

et al. 2019

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BackgroundGene co-expression network is a favorable method to reveal the nature of disease. With the development of cancer, the way to build gene co-expression networks based on cancer data has been become a hot spot. However, there are still a limited number of current node measurement methods and node mining strategies for multi-cancers network construction.MethodsIn this paper, we introduce a new method for mining information of co-expression network based on multi-cancers integrated data, named PMN. We construct the network by combining the different types of relevant measures (linear and nonlinear rules) for different nodes based on integrated gene expression data of multi-cancers from The Cancer Genome Atlas (TCGA). For mining genes, we combine different properties (local and global characteristics) of the nodes.ResultsWe uncover more suspicious abnormally expressed genes and shared pathways of different cancers. And we have also found some proven genes and pathways; of course, there are some suspicious factors and molecules that need clinical validation.ConclusionsThe results demonstrate that our method is very effective in excavating gene co-expression genes of multi-cancers.

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Abnormal Immunoexpression of Cell Adhesion Molecules (CAMs) in Cervical Cancer

Cited by 14 publications

References 32 publications

Progressive loss of E-cadherin immunoexpression during cervical carcinogenesis

Progressive loss of E-cadherin immunoexpression during cervical carcinogenesis

Identification of crucial aberrantly methylated and differentially expressed genes related to cervical cancer using an integrated bioinformatics analysis

A new method for mining information of co-expression network based on multi-cancers integrated data

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