Long Noncoding RNA MIR4697HG Promotes Cell Growth and Metastasis in Human Ovarian Cancer

Zhang, Li-qian; Yang, Shibin; Wang, Ying; Qiao, Fang; Chen, Xian-jun; Lu, Hongsheng; Lingping, Zhao

doi:10.1155/2017/8267863

Cited by 14 publications

(9 citation statements)

References 23 publications

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“…The Sp1-CD147 positive feedback loop may play a key role in the invasive ability of ovarian cancer cells. Down-regulation of the long non-coding RNA MIR4697 host gene (MIR4697HG) promotes the growth and metastasis of ovarian cancer cells by lowering levels of matrix metalloproteinase-9, p-ERK, and phosphorylated AKT (106). Downregulation of MIR4697HG inhibited cell migration and invasion (106).…”

Section: Erk/mapk Signalling In Tumour Invasion and Metastasismentioning

confidence: 99%

ERK/MAPK signalling pathway and tumorigenesis (Review)

et al. 2020

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Mitogen-activated protein kinase (MAPK) cascades are key signalling pathways that regulate a wide variety of cellular processes, including proliferation, differentiation, apoptosis and stress responses. The MAPK pathway includes three main kinases, MAPK kinase kinase, MAPK kinase and MAPK, which activate and phosphorylate downstream proteins. The extracellular signal-regulated kinases ERK1 and ERK2 are evolutionarily conserved, ubiquitous serine-threonine kinases that regulate cellular signalling under both normal and pathological conditions. ERK expression is critical for development and their hyperactivation plays a major role in cancer development and progression. The Ras/Raf/MAPK (MEK)/ERK pathway is the most important signalling cascade among all MAPK signal transduction pathways, and plays a crucial role in the survival and development of tumour cells. The present review discusses recent studies on Ras and ERK pathway members. With respect to processes downstream of ERK activation, the role of ERK in tumour proliferation, invasion and metastasis is highlighted, and the role of the ERK/MAPK signalling pathway in tumour extracellular matrix degradation and tumour angiogenesis is emphasised. signalling elements that regulate basic processes including cell proliferation, differentiation and stress responses (1-3). These cascades transmit signals through sequential activation of three to five layers of protein kinases known as MAPK kinase kinase kinase (MAP4K), MAPK kinase kinase (MAP3K), MAPK kinase (MAPKK), MAPK and MAPK-activated protein kinases (MAPKAPK). The first three central layers are considered as a basic core unit, while the last two layers appear in some cascades and can vary among cells and stimuli. Four MAPK cascades have been defined based on the components in the MAPK layer: ERK1/2, c-Jun N-terminal kinase (JNK), p38 MAPK and ERK5. This review focuses on the ERK cascade (4-6) which involves several kinases in the MAP3K layer (mainly Rafs), including Ras/Raf/MAPK (MEK) 1/2 at the MAPKK layer, ERK1/2 at the MAPK layer and several MAPKAPKs in the next layer (ribosomal s6 kinases, MAP kinase-interacting serine/threonine-protein kinases, mitogen-and stress-activated protein kinases and cytosolic phospholipase A2). ERK cascades are highly regulated cascades that are responsible for basic cellular processes, including cell proliferation and differentiation. These regulatory factors affect bispecific phosphatases (7-10), scaffold proteins (11-14), signal duration and intensity (15), and the dynamic subcellular localization of cascade components (16,17). Due to the importance of the ERK cascade, ERK disorders are harmful to cells and ultimately to the body. Excessive activation of upstream proteins and kinases in the ERK pathway has been shown to induce various diseases, including cancer, inflammation, developmental disorders and neurological disorders (18-22). Since ERK1 and ERK2 are very similar, the singular form of ERK is used in this review, although two subtypes exist. Dysfunction in the Ras-ERK pat...

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Section: Erk/mapk Signalling In Tumour Invasion and Metastasismentioning

confidence: 99%

ERK/MAPK signalling pathway and tumorigenesis (Review)

et al. 2020

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“…In our study, through transcriptomics-based screening, we found that the 13 identified lncRNAs exhibited close interactions with genes in the blue module. Studies have revealed that AATBC (Zhao et al, 2015), ADAMTSL4-AS1 (Annunziato et al, 2019), EPB41L4A-AS1 (Liao et al, 2019), MIA-RAB4B (Thean et al, 2017), MIR4697HG (Zhang et al, 2017a), GAS5 (Ni et al, 2019), SNHG12 (Tamang et al, 2019), MSX2P1 (Qiao et al, 2018), and LINC00852 (Liu et al, 2018b) are related to tumorigenesis and tumor progression in multiple cancers, such as bladder, breast, colorectal, and ovarian. Apart from the nine lncRNAs identified in biological experiments, LOC254896 (Singh et al, 2018), LINC01000 (Mitchell et al, 2017), LINC00893 (Li et al, 2019a), and LINC00537 (Li et al, 2017b) were also reported to be significantly differentially expressed between diseased and normal tissues in some transcriptional profiling analyses.…”

Section: Discussionmentioning

confidence: 99%

Weighted Gene Co-Expression Network Analysis Identifies Critical Genes in the Development of Heart Failure After Acute Myocardial Infarction

Niu

Zhang²,

Zhang

et al. 2019

Front. Genet.

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Background: The development of heart failure (HF) remains a common complication following an acute myocardial infarction (AMI), and is associated with substantial adverse outcomes. However, the specific predictive biomarkers and candidate therapeutic targets for post-infarction HF have not been fully established. We sought to perform a weighted gene co-expression network analysis (WGCNA) to identify key modules, hub genes, and possible regulatory targets involved in the development of HF following AMI. Methods: Genes exhibiting the most (top 50%) variation in expression levels across samples in a GSE59867 dataset were imported to the WGCNA. Gene Ontology and pathway enrichment analyses were performed on genes identified in the key module by Metascape. Gene regulatory networks were constructed using the microarray probe reannotation and bioinformatics database. Hub genes were screened out from the key module and validated using other datasets. Results: A total of 10,265 most varied genes and six modules were identified between AMI patients who developed HF within 6 months of follow-up and those who did not. Specifically, the blue module was found to be the most significantly related to the development of post-infarction HF. Functional enrichment analysis revealed that the blue module was primarily associated with the inflammatory response, immune system, and apoptosis. Seven transcriptional factors, including SPI1, ZBTB7A, IRF8, PPARG, P65, KLF4, and Fos, were identified as potential regulators of the expression of genes identified in the blue module. Further, non-coding RNAs, including miR-142-3p and LINC00537, were identified as having close interactions with genes from the blue module. A total of six hub genes (BCL3, HCK, PPIF, S100A9, SERPINA1, and TBC1D9B) were identified and validated for their predictive value in identifying future HFs. Conclusions: By using the WGCNA, we provide new insights into the underlying molecular mechanism and molecular markers correlated with HF development following an AMI, which may serve to improve risk stratification, therapeutic decisions, and prognosis prediction in AMI patients.

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“…Similar to MALAT1, HOX transcript antisense intergenic RNA (HOTAIR) is closely related to the occurrence and development of tumor metastasis ( 20 – 23 ). Zhang et al ( 24 ) found that MIR4697 host gene (MIR4697HG) in cancerous tissues increased compared with that in adjacent noncancerous tissues. It could promote OC growth and metastasis.…”

Section: Discussionmentioning

confidence: 99%

Preliminary screening and identification of differentially expressed metastasis‑related ncRNAs in ovarian cancer

et al. 2017

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Ovarian cancer (OC) is an aggressive disease with few valuable biomarkers and effective therapies. In this study, we aimed to elucidate biomarkers associated with OC metastasis into the omentum. We performed comprehensive screening of non-coding RNAs (ncRNAs) between matched primary OC and omental metastasis using the Agilent human lncRNA Array V3.0 microarray. Reverse transcription quantitative polymerase chain reaction (RT-qPCR) was used to validate the microarray results at the mRNA level. Microarray revealed 235 ncRNAs changes, and we validated the top four differential changed genes in an additional 27 paired samples with RT-qPCR. We found that myocardial infarction associated transcript (MIAT) expression increased in the omentum tissue, while small nucleolar RNA, C/D Box 114 cluster (SNORD114) family members SNORD114-10, SNORD114-2 and SNORD114-11 were downregulated when compared with OC tissue. However, there is no significant difference in SNORD114-2 and SNORD114-11 levels. We thus infer that differential expression of MIAT and SNORD114-10 could play an important role during OC metastasis. These ncRNAs might be useful as pre-diagnostic biomarkers at the early stage of cancer metastasis.

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Long Noncoding RNA MIR4697HG Promotes Cell Growth and Metastasis in Human Ovarian Cancer

Cited by 14 publications

References 23 publications

ERK/MAPK signalling pathway and tumorigenesis (Review)

ERK/MAPK signalling pathway and tumorigenesis (Review)

Weighted Gene Co-Expression Network Analysis Identifies Critical Genes in the Development of Heart Failure After Acute Myocardial Infarction

Preliminary screening and identification of differentially expressed metastasis‑related ncRNAs in ovarian cancer

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