Different expression patterns of histone H3K27 demethylases in renal cell carcinoma and bladder cancer

Zhang, Hong; Li, Hui; Li, Lili; Wang, Weilong; Xu, Ting

doi:10.3233/cbm-160003

Cited by 9 publications

(8 citation statements)

References 34 publications

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“…27,28 Until now, a plethora of single molecular biomarkers have been reported, [7][8][9] but only a few have been validated for clinical use or recommended by guidelines. [29][30][31] On the other hand, the predictive effect of a multiple gene signature has been highlighted. 32,33 In this study, we conducted GSVA to screen the most important Recent studies have revealed the involvement of EMT in the pathogenesis of cancers, including BLCA.…”

Section: Discussionmentioning

confidence: 99%

“…With the development of genome sequencing and bioinformatics, an increasing number of studies have focused on molecular biomarkers associated with standard pathological features to identify the risk stratification of patients, to guide treatment planning and ultimately to improve clinical outcome . Until now, a plethora of single molecular biomarkers have been reported, but only a few have been validated for clinical use or recommended by guidelines . On the other hand, the predictive effect of a multiple gene signature has been highlighted …”

Section: Discussionmentioning

confidence: 99%

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An EMT‐related gene signature for the prognosis of human bladder cancer

Cao

Yuan

et al. 2019

J Cellular Molecular Medi

154

120

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The transition from non–muscle‐invasive bladder cancer (NMIBC) to muscle‐invasive bladder cancer (MIBC) is detrimental to bladder cancer (BLCA) patients. Here, we aimed to study the underlying mechanism of the subtype transition. Gene set variation analysis (GSVA) revealed the epithelial‐mesenchymal transition (EMT) signalling pathway with the most positive correlation in this transition. Then, we built a LASSO Cox regression model of an EMT‐related gene signature in BLCA. The patients with high risk scores had significantly worse overall survival (OS) and disease‐free survival (DFS) than those with low risk scores. The EMT‐related gene signature also performed favourably in the accuracy of prognosis and in the subtype survival analysis. Univariate and multivariate Cox regression analyses demonstrated that the EMT‐related gene signature, pathological N stage and age were independent prognostic factors for predicting survival in BLCA patients. Furthermore, the predictive nomogram model was able to effectively predict the outcome of BLCA patients by appropriately stratifying the risk score. In conclusion, we developed a novel EMT‐related gene signature that has tumour‐promoting effects, acts as a negative independent prognostic factor and might facilitate personalized counselling and treatment in BLCA.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

An EMT‐related gene signature for the prognosis of human bladder cancer

Cao

Yuan

et al. 2019

J Cellular Molecular Medi

154

120

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“…JMJD3 was also found to promote THP-1 cell differentiation into monocytes and inhibited progression of leukemia (Park et al 2018). JMJD3 functioned as a tumor suppressor gene in renal cell carcinoma (RCC), while in bladder cancer its over expression might promote cancer formation and progression (Hong et al 2017).…”

Section: Jmjd3 In Cancermentioning

confidence: 99%

JMJD3 in the regulation of human diseases

et al. 2019

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In recent years, many studies have shown that histone methylation plays an important role in maintaining the active and silent state of gene expression in human diseases. The Jumonji domain-containing protein D3 (JMJD3), specifically demethylate di- and trimethyl-lysine 27 on histone H3 (H3K27me2/3), has been widely studied in immune diseases, infectious diseases, cancer, developmental diseases, and aging related diseases. We will focus on the recent advances of JMJD3 function in human diseases, and looks ahead to the future of JMJD3 gene research in this review.

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“…Therefore, an effective molecular prognostic biomarker is required to guide the therapy and follow up of patients with BLCA. Various singular molecular markers for prognosis have been suggested ( 16 – 19 ) but the clinical power that they have demonstrated across datasets is unsatisfactory. In contrast, the predictive effect of multiple genes has been highlighted as a tool of greater potential ( 11 , 20 – 23 ).…”

Section: Discussionmentioning

confidence: 99%

A risk score staging system based on the expression of seven genes predicts the outcome of bladder cancer

Chu

2018

Oncol Lett

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Bladder cancer (BLCA) is among the most malignant types of cancer. At present, the prognostic tools available for this disease are insufficient. In the present study, the transcriptome of 1,049 BLCA samples from four datasets from the Gene Expression Omnibus and The Cancer Genome Atlas (TCGA) were analyzed. By utilizing the RNA-seq data provided by TCGA, a risk score staging system model was built to predict the outcome of patients with BLCA using random forest variable hunting and Cox multivariate regression. A total of 7 genes, including zinc finger protein 230, Bcl2-like 14, AHNAK, transmembrane protein 109, apolipoprotein L2, advanced glycation end-product specific receptor and amine oxidase, copper containing 2 were identified as predicting the survival time of patients with BLCA. The patients with a low risk score had a significantly higher survival rate than those with a high-risk score both in the training and validation datasets. Association analyses between risk score and other clinical information were additionally performed; it was demonstrated that the risk score was significantly associated with pathological stage. A nomogram was plotted to compare risk score and other clinical information. The risk score spanned the greatest range of points, indicating the relative accuracy of risk score. In summary, the risk staging model based on the expression of 7 genes is robust and performs more effectively than other clinical information in predicting a prognosis.

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Different expression patterns of histone H3K27 demethylases in renal cell carcinoma and bladder cancer

Abstract: These results suggest JMJD3 could be a hallmark and is involved in the development of RCC and bladder cancers. The potential role of H3K27 demethylases as biomarkers needs further investigations.

Cited by 9 publications

References 34 publications

An EMT‐related gene signature for the prognosis of human bladder cancer

An EMT‐related gene signature for the prognosis of human bladder cancer

JMJD3 in the regulation of human diseases

A risk score staging system based on the expression of seven genes predicts the outcome of bladder cancer

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