Prognostic significance of the epithelial-to-mesenchymal transition markers e-cadherin, vimentin and twist in bladder cancer

Zhao, Jingbo; Dong, Dahai; Sun, Lingling; Zhang, Guiming; Sun, Lili

doi:10.1590/s1677-5538.ibju.2014.02.07

Cited by 63 publications

(53 citation statements)

References 27 publications

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“…Several studies have demonstrated that EMT widely exists in breast cancer [19], colon cancer [20], ovarian cancer [21], and in a fraction of bladder cancer patients [22]. Increased evidence has demonstrated that EMT renders tumor cells more resistant to chemotherapeutic drugs when cells are transfected with some hallmark genes of EMT, including Notch, Twist, and TGFβ [23,24,25].…”

Section: Emt and Drug Resistancementioning

confidence: 99%

“…Several signal transduction pathways are involved in the regulation of EMT-mediated stem cell self-renewal, such as Notch, Wnt, and TGFβ [22,24,40]. Studies have indicated that ectopic expression of activating transcription factor 3 (ATF3) leads to morphological changes and alterations of markers consistent with EMT.…”

Section: Emt In Signal Transduction Pathways and Drug Resistancementioning

confidence: 99%

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Epithelial-Mesenchymal Transition and Drug Resistance: Role, Molecular Mechanisms, and Therapeutic Strategies

Sui

Zhu²,

Deng

et al. 2014

Oncol Res Treat

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SummaryChemotherapy is an important therapeutic option for most cancer patients; however, one major obstacle is the occurrence of drug resistance which usually leads to failure of the chemotherapy. Emerging evidence suggests that there are intricate links between epithelial-mesenchymal transition (EMT)-type cells and drug resistance in tumors. The process of drug resistance can be regulated by a diverse array of cytokines and growth factors, higher apoptotic threshold, aerobic glycolysis, regions of hypoxia, and elevated activity of drug efflux transporters. Moreover, recent reports have indicated that the emergence of drug resistance may occur as a result of EMT. In this regard, most drug-resistant cancers contain a subpopulation of cells with stem-like and mesenchymal features that are resistant to chemotherapy. In this review, we will explain potential mechanisms for the association between EMT induction and the emergence of drug resistance, and discuss new approaches and drugs for the clinical management of drug-resistant cancer induced by EMT.

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Section: Emt and Drug Resistancementioning

confidence: 99%

Section: Emt In Signal Transduction Pathways and Drug Resistancementioning

confidence: 99%

Epithelial-Mesenchymal Transition and Drug Resistance: Role, Molecular Mechanisms, and Therapeutic Strategies

Sui

Zhu²,

Deng

et al. 2014

Oncol Res Treat

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“…Putative mechanisms include the increased supply of factors that promote carcinogenesis and tumor progression by cells of the innate immune systems such as neutrophils and decreased anti-tumor response by immune cells of the adaptive system such as lymphocytes (7–11). …”

Section: Introductionmentioning

confidence: 99%

Neutrophil to lymphocyte ratio, a biomarker in non-muscle invasive bladder cancer: a single-institutional longitudinal study

et al. 2016

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Background:Bladder cancer represents one of the most important clinical challenges in urologic practice. In this context, inflammation has an important role in the development and progression of many malignancies. The objective of the present study was to evaluate the prognostic value of pre-treatment Neutrophil to lymphocyte ratio (NLR) on the risk of recurrence and progression in patients with primary non-muscle invasive bladder cancer.Materials and Methods:Data obtained from 178 bladder cancer patients who underwent transurethral resection of bladder tumor (TURB) between July 2008 and December 2014 were evaluated prospectively. NLR was obtained from each patient before TURB and defined as the absolute neutrophil count divided by the absolute lymphocyte count. Cox proportional hazards regression model was performed to calculate disease recurrence and progression including NLR.Results:During the follow-up study (median: 53 months), 14 (23.3%) and 44 (37.9%) (p=0.04) patients respectively with NLR<3 and ≥3experienced recurrence and 2 (3.3%) and 14 (11.9%) experienced progression (p=0.06), respectively. At the multivariate Cox regression analysis, NLR ≥3 was associated with worse disease recurrence (HR: 2.84; p<0.01). No association was found regarding disease progression. The 5-year recurrence free survival was 49% and 62% in patients with NLR≥3 and <3 (p<0.01). The 5-year progression free survival was 77% and 93% in patients with NLR≥3 and <3 (p=0.69).Conclusion:NLR predicts disease recurrence but not disease progression in NMIBC patients. NLR alterations may depend of tumor inflammatory microenvironment.

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“…The network contains genetic regulations and especially miRNA regulations. We chose an EMT network because EMT regulations have been proven as highly relevant to cancer prognosis [33][34][35], which is the target we want to predict. Thus, at the same time we tested whether biologically relevant molecules are good candidate biomarkers for prediction.…”

Section: Introductionmentioning

confidence: 99%

Epithelial Mesenchymal Transition Network-Based Feature Engineering in Lung Adenocarcinoma Prognosis Prediction Using Multiple Omic Data

Shao

Carlo

Conrad

2017

Genomics Comput Biol

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Epithelial mesenchymal transition (EMT) process has been shown as highly relevant to cancer prognosis. However, although different biological network-based biomarker identification methods have been proposed to predict cancer prognosis, EMT network has not been directly used for this purpose. In this study, we constructed an EMT regulatory network consisting of 87 molecules and tried to select features that are useful for prognosis prediction in Lung Adenocarcinoma (LUAD). To incorporate multiple molecular profiles, we obtained four types of molecular data including mRNA-Seq, copy number alteration (CNA), DNA methylation, and miRNA-Seq data from The Cancer Genome Atlas. The data were mapped to the EMT network in three alternative ways: mRNA-Seq and miRNA-Seq, DNA methylation, and CNA and miRNA-Seq. Each mapping was employed to extract five different sets of features using discretization and network-based biomarker identification methods. Each feature set was then used to predict prognosis with SVM and logistic regression classifiers. We measured the prediction accuracy with AUC and AUPR values using 10 times 10-fold cross validation. For a more comprehensive evaluation, we also measured the prediction accuracies of clinical features, EMT plus clinical features, randomly picked 87 molecules from each data mapping, and using all molecules from each data type. Counter-intuitively, EMT features do not always outperform randomly selected features and the prediction accuracies of the five feature sets are mostly not significantly different. Clinical features are shown to give the highest prediction accuracies. In addition, the prediction accuracies of both EMT features and random features are comparable as using all features (more than 17,000) from each data type.

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Prognostic significance of the epithelial-to-mesenchymal transition markers e-cadherin, vimentin and twist in bladder cancer

Abstract: Grade and Vimentin are potential independent indicators in predicting bladder cancer progression and survival.

Cited by 63 publications

References 27 publications

Epithelial-Mesenchymal Transition and Drug Resistance: Role, Molecular Mechanisms, and Therapeutic Strategies

Epithelial-Mesenchymal Transition and Drug Resistance: Role, Molecular Mechanisms, and Therapeutic Strategies

Neutrophil to lymphocyte ratio, a biomarker in non-muscle invasive bladder cancer: a single-institutional longitudinal study

Epithelial Mesenchymal Transition Network-Based Feature Engineering in Lung Adenocarcinoma Prognosis Prediction Using Multiple Omic Data

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