MicroRNAs in endometrial cancer

Banno, Kouji; Yanokura, Megumi; Kisu, Iori; Yamagami, Wataru; Susumu, Nobuyuki; Aoki, Daisuke

doi:10.1007/s10147-013-0526-9

Cited by 50 publications

(45 citation statements)

References 81 publications

(68 reference statements)

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“…Aberrant expression of miRNAs including miR-200b, miR-130a/b, miR-625 and miR-222 was associated with tumorigenesis and metastasis in EC . miRlet7c, show enhanced expression in EC tissues compared with normal tissues, whereas miR-let7e, miR-221, miR-30c, miR-152, miR-193, miR-204 miR-99b, and miR-193b have decreased expression in cancer tissues (Banno et al, 2013). MiR-155 is one of the miRNAs most consistently involved in neoplastic diseases and it is overexpressed in EC tissues (Choi et al, 2012).…”

Section: Differentially Expressed Mirnas In Ecmentioning

confidence: 99%

“…For example, hsa-miR-152 is a differentially expressed miRNA, which targets at DNMT1 in differentially expressed network. In related network it targets at added related genes E2F3, MET and MTOR (Banno et al, 2013). The differentially expressed gene TWIST1 has an added miRNA hsa-miR-106b that targets at it in related network.…”

Section: Related Network Of Ecmentioning

confidence: 99%

“…Quantitative realtime polymerase chain reactions were performed to validate the results that the expression levels of miR-625*, miR-21, miR-142-5p and miR-146b-5p were increased, whereas the expression levels of miR-633, miR-29c and miR-29* were decreased (Bae et al, 2012). MiR-125b was downregulated in EC and regulated proliferative, metastatic and invasive activities (Shang et al, 2012;Banno et al, 2013). In recent studies, miRNAs were found up-regulated in EC including miR-200 family, miR-9 and miR-203, whereas miRNAs including miR-410, miR-214, miR-99a, miR-199b, miR-100, and miR-424 were found down-regulated (Torres et al, 2013).…”

Section: Differentially Expressed Mirnas In Ecmentioning

confidence: 99%

“…Take hsa-miR-21 for an example. Hsa-miR-21 is a well-studied oncomiR that is hyperexpressed in many cancers and may be a useful biomarker for cancer diagnosis (Banno et al, 2013).…”

Section: Feature Of Pathways About Differentially Expressed Mirnas In Ecmentioning

confidence: 99%

“…In EC, miRNAs are associated with regulation of gene expression, epigenetic dysfunction and carcinogenesis, thus, miRNAs are likely to have key roles in diagnosis, prognostic prediction, and therapy in EC (Banno et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Regulatory Network of MicroRNAs, Target Genes, Transcription Factors and Host Genes in Endometrial Cancer

Xue

Xu²,

Wang³

et al. 2015

Asian Pacific Journal of Cancer Prevention

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Genes and microRNAs (miRNAs) have important roles in human oncology. However, most of the biological factors are reported in disperse form which makes it hard to discover the pathology. In this study, genes and miRNAs involved in human endometrial cancer(EC) were collected and formed into regulatory networks following their interactive relations, including miRNAs targeting genes, transcription factors (TFs) regulating miRNAs and miRNAs included in their host genes. Networks are constructed hierarchically at three levels: differentially expressed, related and global. Among the three, the differentially expressed network is the most important and fundamental network that contains the key genes and miRNAs in EC. The target genes, TFs and miRNAs are differentially expressed in EC so that any mutation in them may impact on EC development. Some key pathways in networks were highlighted to analyze how they interactively influence other factors and carcinogenesis. Upstream and downstream pathways of the differentially expressed genes and miRNAs were compared and analyzed. The purpose of this study was to partially reveal the deep regulatory mechanisms in EC using a new method that combines comprehensive genes and miRNAs together with their relationships. It may contribute to cancer prevention and gene therapy of EC. The relations between miRNAs and target genes are studied. MiRNAs regulate a variety of cellular processes via the regulation of multiple target genes. They control the cellular expression machinery and have a profound impact on the regulation of signaling pathways (Lv et al., 2012).Host genes are genes where certain miRNAs locate. It is indicated that miRNAs are transcribed in parallel with their host transcripts and two different transcription classes of miRNAs, exonic and intronic, were identified (Rodriguez et al., 2004). Intronic miRNA and its host gene have a close relation (Baskerville et al., 2005).Numerous experimental data suggest that the differentially expressed genes and miRNAs contribute to the pathogenesis of EC, while related genes and miRNAs also play a part. However, the data can be found in scattered form, which makes it difficult to analyze the mechanism of EC systematically. In this study, genes and miRNAs are used to construct three networks including differentially expressed network, related network and global network. Each network is combined with three relationships of miRNAs targeting at genes, TFs regulating miRNAs and miRNAs locating on their host genes. Then contrast tables about upstream and downstream of genes and miRNAs are extracted to find the similarities and figure out differences. Crucial genes and miRNAs in the 476networks are focused on to reveal the pathogeneses of EC. Our teammates have successfully analyzed retinoblastoma using the same method . This study provides a new point of view to investigate EC.

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Section: Differentially Expressed Mirnas In Ecmentioning

confidence: 99%

Section: Related Network Of Ecmentioning

confidence: 99%

Section: Differentially Expressed Mirnas In Ecmentioning

confidence: 99%

“…Take hsa-miR-21 for an example. Hsa-miR-21 is a well-studied oncomiR that is hyperexpressed in many cancers and may be a useful biomarker for cancer diagnosis (Banno et al, 2013).…”

Section: Feature Of Pathways About Differentially Expressed Mirnas In Ecmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Regulatory Network of MicroRNAs, Target Genes, Transcription Factors and Host Genes in Endometrial Cancer

Xue

Xu²,

Wang³

et al. 2015

Asian Pacific Journal of Cancer Prevention

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ECGene: A Literature‐Based Knowledgebase of Endometrial Cancer Genes

2016

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Endometrial cancer (EC) ranks as the sixth common cancer for women worldwide. To better distinguish cancer subtypes and identify effective early diagnostic biomarkers, we need improved understanding of the biological mechanisms associated with EC dysregulated genes. Although there is a wealth of clinical and molecular information relevant to EC in the literature, there has been no systematic summary of EC‐implicated genes. In this study, we developed a literature‐based database ECGene (Endometrial Cancer Gene database) with comprehensive annotations. ECGene features manual curation of 414 genes from thousands of publications, results from eight EC gene expression datasets, precomputation of coexpressed long noncoding RNAs, and an EC‐implicated gene interactome. In the current release, we generated and comprehensively annotated a list of 458 EC‐implicated genes. We found the top‐ranked EC‐implicated genes are frequently mutated in The Cancer Genome Atlas (TCGA) tumor samples. Furthermore, systematic analysis of coexpressed lncRNAs provided insight into the important roles of lncRNA in EC development. ECGene has a user‐friendly Web interface and is freely available at http://ecgene.bioinfo‐minzhao.org/. As the first literature‐based online resource for EC, ECGene serves as a useful gateway for researchers to explore EC genetics.

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