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

2019 ◽  
Vol 120 (10) ◽  
pp. 18465-18477 ◽  
Author(s):  
Dong Ouyang ◽  
Ruyi Li ◽  
Yaxian Li ◽  
Xueqiong Zhu
Keyword(s):  
Endometrial Carcinoma ◽  
Uterine Corpus

Gastric‐type endocervical adenocarcinoma with uterine corpus involvement mimicking primary endometrial carcinoma

2019 ◽  
Vol 45 (7) ◽  
pp. 1414-1417 ◽  
Author(s):  
Akio Kamiya ◽  
Yoshihiro Ikura ◽  
Noriaki Iizuka ◽  
Toru Yokokawa ◽  
Hiroki Kato ◽  
...  
Keyword(s):  
Endometrial Carcinoma ◽  
Uterine Corpus ◽  
Endocervical Adenocarcinoma ◽  
Gastric Type

scholarly journals Identification of an immune gene signature for predicting the prognosis of patients with uterine corpus endometrial carcinoma

2020 ◽  
Author(s):  
Cankun Zhou ◽  
Chaomei Li ◽  
Fangli Yan ◽  
Yuhua Zheng
Keyword(s):  
Endometrial Carcinoma ◽  
Risk Score ◽  
Prognostic Model ◽  
Immune Cell ◽  
Gene Signature ◽  
Cancer Genome ◽  
Functional Enrichment ◽  
Immune Gene ◽  
Uterine Corpus ◽  
Immune Genes

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.

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

2021 ◽  
Vol Volume 13 ◽  
pp. 9329-9343
Author(s):  
Xiaojiao Zheng ◽  
Lv Xiuyi ◽  
Linyan Zhu ◽  
Kejun Xu ◽  
Cong Shi ◽  
...  
Keyword(s):  
Endometrial Carcinoma ◽  
Circadian Gene ◽  
Uterine Corpus

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

2020 ◽  
Vol 11 (21) ◽  
pp. 6390-6401 ◽  
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

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

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.

scholarly journals Pan-cancer survey and evaluation of the oncogenic role of NF-κB1

2021 ◽  
Author(s):  
Lihong Huang ◽  
ruoling zheng ◽  
Huasong Gong ◽  
Yongchao Qiao
Keyword(s):  
Endometrial Carcinoma ◽  
Gene Expression Omnibus ◽  
The Cancer Genome Atlas ◽  
Data Sets ◽  
Carcinogenic Effect ◽  
Uterine Corpus ◽  
T Cell Infiltration ◽  
Cancer Genome Atlas ◽  
Survey And Evaluation ◽  
Pan Cancer

Abstract Although emerging cells or animals based evidence supports an association between nuclear factor kappa-B1 (NF-κB1) cells and cancers, there has no pan-cancer analysis. Therefore, based on TCGA (The Cancer Genome Atlas) and GEO (Gene Expression Omnibus) data sets, we first studied the potential carcinogenic effect of NF-κB1 in 33 tumors. As we not only found high expression of NF-κB1 in most tumors, but also found that NF-κB1 expression is closely related to the prognosis of tumor patients. Enhanced phosphorylation of S893 was observed in several tumors, such as breast cancer, uterine corpus endometrial carcinoma or lung adenocarcinoma. In thymoma, NF-κB1 expression was relevant to CD8+ T-cell infiltration levels, and tumor-associated fibroblast infiltration has also seen in other tumors, such as uterine corpus endometrial carcinoma or glioblastoma multiforme. In addition, the functional mechanism of NF-κB1 also involves the related functions of protein processing and RNA metabolism. In this study, NF-κB1 was pan-cancer study in order to have a systematic and comprehensive understanding of the carcinogenic effect of NF-κB1 in different tumors.

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

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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