Faculty Opinions recommendation of A natural antisense transcript regulates Zeb2/Sip1 gene expression during Snail1-induced epithelial-mesenchymal transition.

2008 ◽  
Author(s):  
Avri Ben-Ze'ev
Keyword(s):  
Gene Expression ◽  
Antisense Transcript ◽  
Epithelial Mesenchymal Transition ◽  
Natural Antisense Transcript ◽  
Mesenchymal Transition

scholarly journals A novel prognostic model based on epithelial-mesenchymal transition-related genes predicts patient survival in gastric cancer

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Wanting Song ◽  
Yi Bai ◽  
Jialin Zhu ◽  
Fanxin Zeng ◽  
Chunmeng Yang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gastric Cancer ◽  
Risk Model ◽  
Cox Regression ◽  
Epithelial Mesenchymal Transition ◽  
Risk Groups ◽  
The Cancer Genome Atlas ◽  
Critical Function ◽  
Mesenchymal Transition ◽  
Patient Prognosis

Abstract Background Gastric cancer (GC) represents a major malignancy and is the third deathliest cancer globally. Several lines of evidence indicate that the epithelial-mesenchymal transition (EMT) has a critical function in the development of gastric cancer. Although plentiful molecular biomarkers have been identified, a precise risk model is still necessary to help doctors determine patient prognosis in GC. Methods Gene expression data and clinical information for GC were acquired from The Cancer Genome Atlas (TCGA) database and 200 EMT-related genes (ERGs) from the Molecular Signatures Database (MSigDB). Then, ERGs correlated with patient prognosis in GC were assessed by univariable and multivariable Cox regression analyses. Next, a risk score formula was established for evaluating patient outcome in GC and validated by survival and ROC curves. In addition, Kaplan-Meier curves were generated to assess the associations of the clinicopathological data with prognosis. And a cohort from the Gene Expression Omnibus (GEO) database was used for validation. Results Six EMT-related genes, including CDH6, COL5A2, ITGAV, MATN3, PLOD2, and POSTN, were identified. Based on the risk model, GC patients were assigned to the high- and low-risk groups. The results revealed that the model had good performance in predicting patient prognosis in GC. Conclusions We constructed a prognosis risk model for GC. Then, we verified the performance of the model, which may help doctors predict patient prognosis.

scholarly journals Pancreatic Cancers with High Grade Tumor Budding Exhibit Hallmarks of Diminished Anti-Tumor Immunity

Cancers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1090
Author(s):  
Hassan Sadozai ◽  
Animesh Acharjee ◽  
Thomas Gruber ◽  
Beat Gloor ◽  
Eva Karamitopoulou
Keyword(s):  
Gene Expression ◽  
Pancreatic Cancer ◽  
Disease Progression ◽  
Immune Escape ◽  
Epithelial Mesenchymal Transition ◽  
Tumor Budding ◽  
Ductal Adenocarcinoma ◽  
Low Grade ◽  
High Grade ◽  
Mesenchymal Transition

Tumor budding is associated with epithelial-mesenchymal transition and diminished survival in a number of cancer types including pancreatic ductal adenocarcinoma (PDAC). In this study, we dissect the immune landscapes of patients with high grade versus low grade tumor budding to determine the features associated with immune escape and disease progression in pancreatic cancer. We performed immunohistochemistry-based quantification of tumor-infiltrating leukocytes and tumor bud assessment in a cohort of n = 111 PDAC patients in a tissue microarray (TMA) format. Patients were divided based on the ITBCC categories of tumor budding as Low Grade (LG: categories 1 and 2) and High Grade (HG: category 3). Tumor budding numbers and tumor budding grade demonstrated a significant association with diminished overall survival (OS). HG cases exhibit notably reduced densities of stromal (S) and intratumoral (IT) T cells. HG cases also display lower M1 macrophages (S) and increased M2 macrophages (IT). These findings were validated using gene expression data from TCGA. A published tumor budding gene signature demonstrated a significant association with diminished survival in PDAC patients in TCGA. Immune-related gene expression revealed an immunosuppressive TME in PDAC cases with high expression of the budding signature. Our findings highlight a number of immune features that permit an improved understanding of disease progression and EMT in pancreatic cancer.

scholarly journals Pathogenesis and characteristics of large ameloblastoma of the jaw: a report of two rare cases

2021 ◽  
Vol 49 (5) ◽  
pp. 030006052110148
Author(s):  
Xue Qiao ◽  
Xing Niu ◽  
Jiayi Liu ◽  
Lijie Chen ◽  
Yan Guo ◽  
...  
Keyword(s):  
Gene Expression ◽  
Epithelial Mesenchymal Transition ◽  
Morphological Changes ◽  
Molecular Evidence ◽  
Nucleotide Polymorphisms ◽  
Related Gene ◽  
Epithelial Tumor ◽  
Single Nucleotide ◽  
Mesenchymal Transition ◽  
Hras Gene

Ameloblastoma is a common odontogenic epithelial tumor that exhibits various biological behaviors, ranging from simple cystic expansion to aggressive solid masses characterized by local invasiveness, a high risk of recurrence, and even malignant transformation. We report on two cases of unusually large solid ameloblastomas. We detected epithelial–mesenchymal transition-related gene expression and HRAS gene single nucleotide polymorphisms, providing possible molecular evidence of mesenchymal morphological changes in ameloblastoma. The detailed analysis of the pathogenesis of these two cases of ameloblastoma may deepen our understanding of this rare disease and offer promising targets for future targeted therapy.

scholarly journals FERMT3 mediates cigarette smoke-induced epithelial–mesenchymal transition through Wnt/β-catenin signaling

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Xiaoshan Su ◽  
Junjie Chen ◽  
Xiaoping Lin ◽  
Xiaoyang Chen ◽  
Zhixing Zhu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Cell Cycle ◽  
Cell Migration ◽  
Cigarette Smoke ◽  
Epithelial Mesenchymal Transition ◽  
Control Group ◽  
Data Set ◽  
Mesenchymal Transition

Abstract Background Cigarette smoking is a major risk factor for chronic obstructive pulmonary disease (COPD) and lung cancer. Epithelial–mesenchymal transition (EMT) is an essential pathophysiological process in COPD and plays an important role in airway remodeling, fibrosis, and malignant transformation of COPD. Previous studies have indicated FERMT3 is downregulated and plays a tumor-suppressive role in lung cancer. However, the role of FERMT3 in COPD, including EMT, has not yet been investigated. Methods The present study aimed to explore the potential role of FERMT3 in COPD and its underlying molecular mechanisms. Three GEO datasets were utilized to analyse FERMT3 gene expression profiles in COPD. We then established EMT animal models and cell models through cigarette smoke (CS) or cigarette smoke extract (CSE) exposure to detect the expression of FERMT3 and EMT markers. RT-PCR, western blot, immunohistochemical, cell migration, and cell cycle were employed to investigate the potential regulatory effect of FERMT3 in CSE-induced EMT. Results Based on Gene Expression Omnibus (GEO) data set analysis, FERMT3 expression in bronchoalveolar lavage fluid was lower in COPD smokers than in non-smokers or smokers. Moreover, FERMT3 expression was significantly down-regulated in lung tissues of COPD GOLD 4 patients compared with the control group. Cigarette smoke exposure reduced the FERMT3 expression and induces EMT both in vivo and in vitro. The results showed that overexpression of FERMT3 could inhibit EMT induced by CSE in A549 cells. Furthermore, the CSE-induced cell migration and cell cycle progression were reversed by FERMT3 overexpression. Mechanistically, our study showed that overexpression of FERMT3 inhibited CSE-induced EMT through the Wnt/β-catenin signaling. Conclusions In summary, these data suggest FERMT3 regulates cigarette smoke-induced epithelial–mesenchymal transition through Wnt/β-catenin signaling. These findings indicated that FERMT3 was correlated with the development of COPD and may serve as a potential target for both COPD and lung cancer.

scholarly journals Canonical TGFβ signaling induces collective invasion in colorectal carcinogenesis through a Snail1- and Zeb1-independent partial EMT

2020 ◽  
Author(s):  
Marion Flum ◽  
Severin Dicks ◽  
Monika Schrempp ◽  
Alexander Nyström ◽  
Melanie Boerries ◽  
...  
Keyword(s):  
Gene Expression ◽  
Epithelial Mesenchymal Transition ◽  
Genetically Engineered ◽  
Dominant Negative ◽  
Colorectal Carcinogenesis ◽  
Oncogenic Transformation ◽  
Tgfβ Signaling ◽  
Mesenchymal Transition ◽  
Collective Invasion ◽  
The Impact

AbstractLocal invasion is the initial step towards metastasis, the main cause of cancer mortality. In human colorectal cancer (CRC), malignant cells predominantly invade as cohesive collectives, and may undergo partial epithelial-mesenchymal transition (pEMT) at the invasive front. How this particular mode of stromal infiltration is generated is unknown. Here we investigated the impact of oncogenic transformation and the microenvironment on tumor cell invasion using genetically engineered organoids as CRC models. We found that inactivation of the Apc tumor suppressor combined with expression of oncogenic KrasG12D and dominant negative Trp53R172H did not cell-autonomously induce invasion in vitro. However, oncogenic transformation primed organoids for activation of a collective invasion program upon exposure to the prototypical microenvironmental factor TGFβ1. Execution of this program co-depended on a permissive extracellular matrix which was further actively remodeled by invading organoids. Although organoids shed some epithelial properties particularly at the invasive edge, TGFβ1-stimulated organoids largely maintained epithelial gene expression while additionally implementing a mesenchymal transcription pattern, resulting in a pEMT phenotype that did not progress to a fully mesenchymal state. Induction of this stable pEMT required canonical, Smad4-mediated TGFβ signaling, whereas the EMT master regulators Snail1 and Zeb1 were dispensable. Gene expression profiling provided further evidence for pEMT of TGFβ1-treated organoids and showed that their transcriptomes resemble those of human poor prognosis CMS4 cancers which likewise exhibit pEMT features. We propose that collective invasion in colorectal carcinogenesis is triggered by microenvironmental stimuli through activation of a novel, transcription-mediated form of non-progressive pEMT independently of classical EMT regulators.

scholarly journals Mummy Induces Apoptosis Through Inhibiting of Epithelial-Mesenchymal Transition (EMT) in Human Breast Cancer Cells

2020 ◽  
Vol 9 ◽  
pp. 1812
Author(s):  
Solmaz Rahmani Barouji ◽  
Arman Shahabi ◽  
Mohammadali Torbati ◽  
Seyyed Mohammad Bagher Fazljou ◽  
Ahmad Yari Khosroushahi
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Anticancer Activity ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Epithelial Mesenchymal Transition ◽  
Control Group ◽  
Mrna Levels ◽  
Mesenchymal Transition ◽  
Mcf 7

Background: Mummy (Iranian pure shilajit) is a remedy with possessing anti-inflammatory, antioxidant and anticancer activities. This study aimed to examine mummy effects on epithelial-mesenchymal transition (EMT) and invasiveness of MCF-7 and MDA-MB-231 breast cancer (BC) cell lines with underlying its mechanism. Materials and Methods: The dose-dependent inhibitory effect of the mummy on cell proliferation in vitro was determined using the MTT assay.  Flow cytometry and 4’,6-diamidino-2-phenylindole dihydrochloride staining were respectively used for quantitative and qualitative analysis of cellular apoptosis, and gene expression analysis was conducted using real-time PCR. Results: MDA-MB-231 showed more sensitivity than the MCF-7 cell line to the anticancer activity of mummy, while mummy did not exhibit significant cell cytotoxicity against human normal cells (MCF-10A). The gene expression profile demonstrated a significant decrease in TGF-β1, TGF-βR1, TWIST1, NOTCH1, CTNNB1, SRC along with an increase in E-cadherin mRNA levels in mummy treated cells compared to the untreated control group (P≤0.05). Conclusion: Mummy triggers inhibition of EMT and metastasis in breast cancer cells mainly through the downregulation of TGFβ1 activity, and more studies required to find its specific anticancer activity with details. [GMJ.2020;9:e1812]

Abstract 500: DNA Methylation Profiling Reveals an Epithelial/Endothelial-Mesenchymal Transition-like Signature of Intima-Media Cells in the Ascending Aorta of Bicuspid Aortic Valve Patients

2016 ◽  
Vol 36 (suppl_1) ◽  
Author(s):  
Hanna M Björck ◽  
Lei Du ◽  
Valentina Paloschi ◽  
Shohreh Maleki ◽  
Silvia Pulignani ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Epithelial Mesenchymal Transition ◽  
Ascending Aorta ◽  
Molecular Signature ◽  
Aortic Valves ◽  
Global Methylation ◽  
Mesenchymal Transition ◽  
Differentially Methylated Genes ◽  
Increased Risk

Introduction: Individuals with bicuspid aortic valves (BAV) are at increased risk of ascending aortic aneurysm than individuals with tricuspid aortic valves (TAV), but the underlying mechanism is not fully understood. Aberrant DNA methylation has been described in various human diseases, and we have shown that key enzymes in the methylation machinery are differentially expressed in the aortic intima-media of BAV and TAV patients. In the present study, we assessed the hypothesis that DNA methylation may play an important role during aneurysm formation in BAV. We undertook a global methylation approach to delineate biological processes associated with BAV aortopathy, using TAV as a reference. Methods: Ascending aortic biopsies were collected from 21 BAV and 24 TAV patients, with either a non-dilated or a dilated aorta, at the time of surgery. Global DNA methylation was measured in the intima-media layer using Illumina 450k Array. Gene expression was analyzed in the same samples using Affymetrix Exon Array. Results: Compared with TAV, the BAV dilated aorta was hypomethylated (P=0.031), correlating with an up-regulation of global gene expression. A total of 4913 differentially methylated regions (DMRs) were identified and Hallmark analysis of the DMR-associated genes with a fold change of 10% (n=3147) showed a gene signature of Epithelial Mesenchymal Transition (EMT) (FDR q=2.91e-29). This was further confirmed by functional annotation analysis of hypomethylated DMRs using the Genomic Regions Enrichment of Annotations Tool (Stanford University), showing association to actin filament bundle (P=7.09e-12), stress fibers (P=1.72e-11) and adherence junctions (P=2.97e-8). Interestingly, analysis of non-dilated BAV and TAV aorta revealed that genes involved in EMT were the most differentially methylated genes prior to dilatation (FDR q=1.18e-6). We further confirmed the EMT-related molecular signature by immunostaining of some key players of EMT. In conclusion, epigenetic profiling clearly revealed differential methylation between BAV and TAV aorta, particularly in EMT-related genes. Aberrant EMT in the ascending aorta prior to dilatation may constitute the basis for the increased aneurysm susceptibility in BAV patients.

scholarly journals An Integrative Systems Biology and Experimental Approach Identifies Convergence of Epithelial Plasticity, Metabolism, and Autophagy to Promote Chemoresistance

2019 ◽  
Vol 8 (2) ◽  
pp. 205 ◽  
Author(s):  
Shengnan Xu ◽  
Kathryn Ware ◽  
Yuantong Ding ◽  
So Kim ◽  
Maya Sheth ◽  
...  
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Systems Biology ◽  
Gene Expression Data ◽  
Transforming Growth Factor ◽  
Epithelial Mesenchymal Transition ◽  
Phylogenetic Analyses ◽  
Host Immune System ◽  
Expression Data ◽  
Mesenchymal Transition

The evolution of therapeutic resistance is a major cause of death for cancer patients. The development of therapy resistance is shaped by the ecological dynamics within the tumor microenvironment and the selective pressure of the host immune system. These selective forces often lead to evolutionary convergence on pathways or hallmarks that drive progression. Thus, a deeper understanding of the evolutionary convergences that occur could reveal vulnerabilities to treat therapy-resistant cancer. To this end, we combined phylogenetic clustering, systems biology analyses, and molecular experimentation to identify convergences in gene expression data onto common signaling pathways. We applied these methods to derive new insights about the networks at play during transforming growth factor-β (TGF-β)-mediated epithelial–mesenchymal transition in lung cancer. Phylogenetic analyses of gene expression data from TGF-β-treated cells revealed convergence of cells toward amine metabolic pathways and autophagy during TGF-β treatment. Knockdown of the autophagy regulatory, ATG16L1, re-sensitized lung cancer cells to cancer therapies following TGF-β-induced resistance, implicating autophagy as a TGF-β-mediated chemoresistance mechanism. In addition, high ATG16L expression was found to be a poor prognostic marker in multiple cancer types. These analyses reveal the usefulness of combining evolutionary and systems biology methods with experimental validation to illuminate new therapeutic vulnerabilities for cancer.

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