The Circadian Gene NPAS2 Act as a Putative Tumor Stimulative Factor for Uterine Corpus Endometrial Carcinoma

Abstract Background: Uterine corpus endometrial carcinoma (UCEC) is a frequent gynecological malignancy with a poor prognosis especially when at an advanced stage. In the present study, we explored the potential of an immune-related gene signature to predict overall survival in UCEC patients.Methods: We analyzed expression data of 616 UCEC patients from The Cancer Genome Atlas database and the International Cancer Genome Consortium as well as immune genes from the ImmPort database and identified the signature. We constructed a transcription factor regulatory network based on Cistrome databases and performed functional enrichment and pathway analyses for the differentially expressed immune genes. Moreover, the prognostic value of 410 immune genes was determined using Cox regression analysis then constructed a prognostic model. Finally, we performed immune infiltration analysis using TIMER-generating immune cell content.Results: Results indicated that the immune cell microenvironment as well as the PI3K-Akt, and MARK signaling pathways were involved in UCEC development. The established prognostic model revealed a ten-gene prognosis signature , comprising PDIA3, LTA, PSMC4, TNF, SBDS, HDGF, HTR3E, NR3C1, PGR, and CBLC . This can be used as an independent tool to predict the prognosis of UCEC owing to the observed risk-score. In addition, levels of B cells and neutrophils were significantly correlated with the patient's risk score, and the expression of ten genes is associated with immune cell infiltrates.Conclusions: In summary, we present a 10-gene signature with the potential to predict the prognosis of UCEC. This is expected to guide future development of individualized treatment approaches.

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A 7‐lncRNA signature predict prognosis of Uterine corpus endometrial carcinoma

Journal of Cellular Biochemistry ◽

10.1002/jcb.29164 ◽

2019 ◽

Vol 120 (10) ◽

pp. 18465-18477 ◽

Cited By ~ 9

Author(s):

Dong Ouyang ◽

Ruyi Li ◽

Yaxian Li ◽

Xueqiong Zhu

Keyword(s):

Endometrial Carcinoma ◽

Uterine Corpus

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Multiomics profile and prognostic gene signature of m6A regulators in uterine corpus endometrial carcinoma

Journal of Cancer ◽

10.7150/jca.46386 ◽

2020 ◽

Vol 11 (21) ◽

pp. 6390-6401 ◽

Cited By ~ 1

Author(s):

Yizi Wang ◽

Fang Ren ◽

Zixuan Song ◽

Xiaoying Wang ◽

Xiaoxin Ma

Keyword(s):

Endometrial Carcinoma ◽

Gene Signature ◽

Uterine Corpus ◽

Prognostic Gene ◽

Prognostic Gene Signature

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RNF183 Is a Prognostic Biomarker and Correlates With Tumor Purity, Immune Infiltrates in Uterine Corpus Endometrial Carcinoma

Frontiers in Genetics ◽

10.3389/fgene.2020.595733 ◽

2020 ◽

Vol 11 ◽

Author(s):

Rong Geng ◽

Yuhua Zheng ◽

Lijie Zhao ◽

Xiaobin Huang ◽

Rong Qiang ◽

...

Keyword(s):

Gene Expression ◽

Endometrial Cancer ◽

Endometrial Carcinoma ◽

Progression Free Survival ◽

M2 Macrophage ◽

Free Survival ◽

Uterine Corpus ◽

Immune Infiltration ◽

Tumor Purity ◽

High Level

RNF183, a member of the E3 ubiquitin ligase, has been shown to involve in carcinogenesis and proposed as one of the biomarkers in Uterine Corpus Endometrial Carcinoma (UCEC). However, no research focused on the role of RNF183 in UCEC. We analyzed the expression and immune infiltration of RNF183 in UCEC. TIMER, UALCAN, and GEPIA were used to analyze the gene expression of RNF183. We emplored Kaplan-Meier Plotter to examine the overall survival and progression-free survival of RNF183, and applied GeneMANIA to identify RNF183-related functional networks. LinkedOmics was helpful to identify the differential gene expression of RNF183, and to further analyze gene ontology and the genome pathways in the Kyoto Protocol. Finally, we used TIMER to investigate the immune infiltration of RNF183 in UCEC. Otherwise, we partly verified the results of bioinformatics analysis that RNF183 controlled ERα expression in ERα-positive Ishikawa cells dependent on its RING finger domain. We also found that ERα increased the stability of RNF183 through the post-translational mechanism. Together, patients with a high level of RNF183 harbor favorable overall and progression-free survival. High expression of RNF183 was associated with a low stage, endometrioid, and TP53 Non-Mutant status in endometrial cancer. The RNF183 expression was greater at higher expression and the tumor stage was greater at the lower level. On the side of immunization, high level of RNF183 in UCEC is negatively related to tumor purity, infiltrating levels of CD4 + T cells, neutrophils, and dendritic cells. Besides, the expression of RNF183 in UCEC is significantly correlated with the expression of several immune cell markers, including B cell, M1 macrophage marker, M2 Macrophage, Dendritic cell, Th1 markers, Th2 markers, Treg markers, and T cell exhaustion markers, indicating its role in regulating tumor immunity. These results suggested that RNF183 may be considered as a novel prognostic factor in endometrial cancer and an early diagnostic indicator for patients with UCEC.

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MicroRNA expression and PTEN protein levels in uterine corpus endometrial carcinoma (UCEC)

Journal of Molecular and Genetic Medicine ◽

10.4172/1747-0862.s1.003 ◽

2014 ◽

Vol s1 (01) ◽

Author(s):

Wenbin Liu Pradeep Chaluvally

Keyword(s):

Endometrial Carcinoma ◽

Microrna Expression ◽

Pten Protein ◽

Uterine Corpus ◽

Protein Levels

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Identifying immune subtypes of uterine corpus endometrial carcinoma and a four-paired-lncRNA signature with immune-related lncRNAs

Experimental Biology and Medicine ◽

10.1177/15353702211053588 ◽

2021 ◽

pp. 153537022110535

Author(s):

Nan Li ◽

Kai Yu ◽

Zhong Lin ◽

Dingyuan Zeng

Keyword(s):

Overall Survival ◽

Endometrial Carcinoma ◽

Prognostic Model ◽

Cox Regression ◽

Immune Escape ◽

Enrichment Analysis ◽

Information Criterion ◽

Cox Regression Analysis ◽

Uterine Corpus ◽

Immune Related Genes

Uterine corpus endometrial carcinoma (UCEC) is the third most frequent gynecological malignancies in the female reproductive system. Long non-coding RNAs (lncRNAs) are closely involved in tumor progression. This study aimed to develop an immune subtyping system and a prognostic model based on lncRNAs for UCEC. Paired lncRNAs and non-negative matrix factorization were applied to identify immune subtypes. Enrichment analysis was conducted to assess functional pathways, immune-related genes, and cells. Univariate and multivariate Cox regression analysis were performed to analyze the relation between lncRNAs and overall survival (OS). A prognostic model was constructed and optimized by least absolute shrinkage and selection operator (LASSO) and Akaike information criterion (AIC). Two immune subtypes (C1 and C2) and four paired-prognostic lncRNAs closely associated with overall survival were identified. Some immune features, sensitivity of chemotherapy and immunotherapy, and the relation with immune escape showed variations between two subtypes. A nomogram established based on prognostic model and clinical features was effective in OS prediction. The immune subtyping system based on lncRNAs and the four-paired-lncRNA signature was predictive of UCEC prognosis and can facilitate personalized therapies such as immunotherapy or RNA-based therapy for UCEC patients.

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