Genomics and Prognosis Analysis of Epithelial-Mesenchymal Transition in Glioma

Tao, Chuming; Huang, Kai; Shi, Jin; Hu, Qing; Li, Kuangxun; Zhu, Xingen

doi:10.3389/fonc.2020.00183

Cited by 64 publications

(58 citation statements)

References 50 publications

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“…Various markers and gene signatures of the EMT and their association with the tumor microenvironment are currently being evaluated for prognosis prediction (92), for example in head and neck squamous cell carcinoma (93) and glioma (94). Although further research is needed to confirm the use of EMT markers or signatures as predictors of cancer prognosis, this is a promising development for the field.…”

Section: The Heterogeneity Of the Endometriummentioning

confidence: 99%

Alterations in Epithelial Cell Polarity During Endometrial Receptivity: A Systematic Review

2020

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Background: Abnormal endometrial receptivity is one of the major causes of embryo implantation failure and infertility. The plasma membrane transformation (PMT) describes the collective morphological and molecular alterations occurring to the endometrial luminal epithelium across the mid-secretory phase of the menstrual cycle to facilitate implantation. Dysregulation of this process directly affects endometrial receptivity and implantation. Multiple parallels between these alterations to confer endometrial receptivity in women have been drawn to those seen during the epithelial-mesenchymal transition (EMT) in tumorigenesis. Understanding these similarities and differences will improve our knowledge of implantation biology, and may provide novel therapeutic targets to manage implantation failure. Methods: A systematic review was performed using the Medline (Ovid), Embase, and Web of Science databases without additional limits. The search terms used were "(plasma membrane* or cell membrane*) and transformation*" and "endometrium or endometrial." Research studies on the PMT or its regulation in women, discussing either the endometrial epithelium, decidualized stroma, or both, were eligible for inclusion. Results: A total of 198 articles were identified. Data were extracted from 15 studies that matched the inclusion criteria. Collectively, these included studies confirmed the alterations occurring to the endometrial luminal epithelium during the PMT are similar to those seen during the EMT. Such similarities included alterations to the actin cytoskeleton remodeling of adherens junctions, integrin expression and epithelial-stromal communication. These were also some differences between these processes, such as the regulation of tight junctions and mucins, which need to be further researched. Conclusions: This review raised the prospect of shared and distinct mechanisms existing in PMT and EMT. Further investigation into similarities between the PMT in the endometrium and the EMT in tumorigenesis may provide new mechanistic insights into PMT and new targets for the management of implantation failure and infertility.

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Section: The Heterogeneity Of the Endometriummentioning

confidence: 99%

Alterations in Epithelial Cell Polarity During Endometrial Receptivity: A Systematic Review

2020

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“…It has been reported that clinical characteristics, such as age, stage, differentiation and lymph node metastasis, cannot accurately predict the prognosis of patients [23]. As a result, an increasing number of studies are exploring gene biomarkers, and many studies have found that developing multiple generelated risk models can improve the prediction e ciency [24,25]. Therefore, the purpose of this study was to explore the risk biomarkers related to the prognosis of endometrial cancer and to analyze further their relationship with immune cell in ltration.…”

Section: Discussionmentioning

confidence: 99%

Comprehensive Analysis of the Association Between the Glycolysis Prognostic Risk Signature and Immune Infiltration in Endometrial Cancer

Yang

Shen

et al. 2020

Preprint

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Background: Glycolysis is the primary mechanism of energy metabolism in tumor cells. The purpose of this study is to develop a glycolysis-related risk signature for endometrial cancer and analyze its relationship with immune function.Methods: The mRNA expression profiling and clinical information of endometrial cancer were downloaded from TCGA database. GSEA was performed to screen out gene sets related to glycolysis, and the R software was used to screen DEGs. Univariate Cox and LASSO regression analyses were used to construct a glycolysis-related prognostic signature for endometrial cancer. WGCNA were performed to identify the potential mechanisms associated with the prognostic signature. Immune scores, stromal scores and ESTIMATE scores were calculated based on the R “ESTIMATE” algorithm. The “CIBERSORT” algorithm was used to evaluate the infiltration of immune cells. ROC curve, nomogram, gene alteration, coexpression analyses and PPIs were also performed. Results: We identified a glycolysis-related gene signature (PFKM, PSMC4, NUP85, PDHA1, CDK1, CLDN9, CENPA, GPI, NUP155 and GPCI) for predicting the prognosis of endometrial cancer. Based on this gene signature, the patients were divided into high- and low-risk subgroups. The overall survival of patients in the high-risk subgroup was significantly lower than that of the low-risk group. Multivariate Cox regression analysis results showed that the ten-gene signature was an independent prognostic factor for endometrial cancer. The ROC curve confirmed the accuracy of the prognostic signature (AUC=0.730). The immune scores and ESTIMATE scores of patients in the high-risk subgroup were lower than those of the low-risk subgroup, while the low immune score and ESTIMATE scores were closely related to the poor prognosis of patients. The high-risk group was associated with lower cellular immune infiltration of resting dendritic cells, resting memory T cells and Tregs, while the overall survival rate of resting dendritic cells and Tregs in the low-proportion group was significantly lower than that in the high-proportion group. Conclusions: we constructed a glycolysis-related ten-gene signature to predict the survival and prognosis of endometrial cancer. Our findings may help to elucidate the mechanism of glycolysis and provide new ideas for targeted therapy and prognosis of endometrial cancer.

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“…The m6A-related prognostic lncRNAs screened from the two databases are intersected to obtain the 24 shared m6A-related prognostic lncRNAs. Thereafter, using the R package “glmnet” ( Friedman et al, 2010 ) to conduct least absolute shrinkage and selection operator (LASSO) Cox regression (with the penalty parameter estimated by 10-fold cross-validation) ( Tao et al, 2020 ), we developed a m6A-related lncRNA prognostic signature (m6A-LPS) for the LGG patients involving 9 m6A-related lncRNAs. The risk score calculating formula is:…”

Section: Methodsmentioning

confidence: 99%

N6-Methylandenosine-Related lncRNAs Are Potential Biomarkers for Predicting the Overall Survival of Lower-Grade Glioma Patients

Wang

et al. 2020

Front. Cell Dev. Biol.

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137

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The prognostic value of N6-methylandenosine-related long non-coding RNAs (m6Arelated lncRNAs) was investigated in 646 lower-grade glioma (LGG) samples from The Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA) datasets. We implemented Pearson correlation analysis to explore the m6A-related lncRNAs, and then univariate Cox regression analysis was performed to screen their prognostic roles in LGG patients. Twenty-four prognostic m6A-related lncRNAs were identified as prognostic lncRNAs and they were inputted in a least absolute shrinkage and selection operator (LASSO) Cox regression to establish a m6A-related lncRNA prognostic signature (m6A-LPS, including 9 m6A-related prognostic lncRNAs) in the TCGA dataset. Corresponding risk scores of patients were calculated and divided LGG patients into low-and high-risk subgroups by the median value of risk scores in each dataset. The m6A-LPS was validated in the CGGA dataset and it showed a robust prognostic ability in the stratification analysis. Principal component analysis showed that the low-and high-risk subgroups had distinct m6A status. Enrichment analysis indicated that malignancy-associated biological processes, pathways and hallmarks were more common in the high-risk subgroup. Moreover, we constructed a nomogram (based on m6A-LPS, age and World Health Organization grade) that had a strong ability to forecast the overall survival (OS) of the LGG patients in both datasets. We also establish a competing endogenous RNA (ceRNA) network based on seven of the twenty-four m6A-related lncRNAs. Besides, we also detected five m6A-related lncRNA expression levels in 22 clinical samples using quantitative real-time polymerase chain reaction assay.

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Genomics and Prognosis Analysis of Epithelial-Mesenchymal Transition in Glioma

Cited by 64 publications

References 50 publications

Alterations in Epithelial Cell Polarity During Endometrial Receptivity: A Systematic Review

Alterations in Epithelial Cell Polarity During Endometrial Receptivity: A Systematic Review

Comprehensive Analysis of the Association Between the Glycolysis Prognostic Risk Signature and Immune Infiltration in Endometrial Cancer

N6-Methylandenosine-Related lncRNAs Are Potential Biomarkers for Predicting the Overall Survival of Lower-Grade Glioma Patients

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