Long Non-Coding RNA MIR31HG Promotes the Transforming Growth Factor β-Induced Epithelial-Mesenchymal Transition in Pancreatic Ductal Adenocarcinoma Cells

Ko, Ching-Chung; Hsieh, Yao-Yu; Yang, Pei Ming

doi:10.3390/ijms23126559

Cited by 5 publications

(7 citation statements)

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“…LncRNAs, such as HOTAIR , HOTTIP , MALAT1 , H19 , PVT1 , GAS5 , MEG3 , and ENST00000480739 , have been linked to modulation of growth and invasion of PDAC cells ( 59 ). Additionally, MIR31HG (or long non-coding HIF-1α co-activating RNA – lncHIF-CAR ) can be upregulated by TGF-β signaling in PDAC cells ( 60 ). The levels of MIR31HG were further correlated with the EMT gene signature in PDAC patient datasets, and its higher expression was associated with worse disease-free survival in patients.…”

Section: Pancreatic Adenocarcinomamentioning

confidence: 99%

“…The levels of MIR31HG were further correlated with the EMT gene signature in PDAC patient datasets, and its higher expression was associated with worse disease-free survival in patients. Moreover, MIR31HG silencing downregulated TGF-β-induced EMT, but the questions about how TGF-β modulated MIR31HG expression and how mechanistically MIR31HG promoted the TGF-β-induced EMT were not addressed ( 60 ). Another lncRNA that increases cell proliferation and invasion of PDAC cells and might play a role in TGF-β signaling was the X-inactive specific transcript ( XIST ) ( 61 ).…”

Section: Pancreatic Adenocarcinomamentioning

confidence: 99%

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Unboxing the network among long non-coding RNAs and TGF-β signaling in cancer

Rodrigues-Junior,

Moustakas

2024

ujms

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Deeper analysis of molecular mechanisms arising in tumor cells is an unmet need to provide new diagnostic and therapeutic strategies to prevent and treat tumors. The transforming growth factor β (TGF-β) signaling has been steadily featured in tumor biology and linked to poor prognosis of cancer patients. One pro-tumorigenic mechanism induced by TGF-β is the epithelial-to-mesenchymal transition (EMT), which can initiate cancer dissemination, enrich the tumor stem cell population, and increase chemoresistance. TGF-β signals via SMAD proteins, ubiquitin ligases, and protein kinases and modulates the expression of protein-coding and non-coding RNA genes, including those encoding larger than 500 nt transcripts, defined as long non-coding RNAs (lncRNAs). Several reports have shown lncRNAs regulating malignant phenotypes by directly affecting epigenetic processes, transcription, and post-transcriptional regulation. Thus, this review aims to update and summarize the impact of TGF-β signaling on the expression of lncRNAs and the function of such lncRNAs as regulators of TGF-β signaling, and how these networks might impact specific hallmarks of cancer.

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Section: Pancreatic Adenocarcinomamentioning

confidence: 99%

Section: Pancreatic Adenocarcinomamentioning

confidence: 99%

Unboxing the network among long non-coding RNAs and TGF-β signaling in cancer

Rodrigues-Junior,

Moustakas

2024

ujms

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“…Considerable research in recent years has continually investigated MIR31HG expression levels in cancer, including gastric cancer ( Nie et al, 2016 ; Lin et al, 2018 ), breast cancer ( Augoff et al, 2012 ; Shi et al, 2014 ; Xin et al, 2021 ), lung cancer ( Qin et al, 2018 ; Dandan et al, 2019 ; Zheng et al, 2019 ), colorectal cancer ( Ding et al, 2015 ; Yang et al, 2016a ; Li et al, 2018 ; Eide et al, 2019 ), bladder cancer ( He et al, 2016 ; Sveen et al, 2020 ), head and neck squamous cell carcinoma ( Ren et al, 2017 ; Wang et al, 2018a ; Chu et al, 2020 ), osteosarcoma ( Sun et al, 2019 ), melanoma ( Xu and Tian, 2020 ) and other cancer types ( Yang et al, 2016b ; Shih et al, 2017 ; Feng et al, 2020 ; Li, 2020 ; Chen et al, 2022 ; Ko et al, 2022 ; Tu et al, 2022 ). A pan-cancer analysis of gene expression was performed by the UALCAN database using The Cancer Genome Atlas (TCGA) data to determine the expression of MIR31HG in human cancers ( Figure 2 ).…”

Section: The Expression Level Of Mir31hg In Human Diseasesmentioning

confidence: 99%

“…The upregulated MIR31HG level in oral carcinoma was related to poor clinical outcomes and contributed to cancer progression ( Shih et al, 2017 ). MIR31HG functions as an oncogene in PDAC, and the overexpression of MIR31HG is closely associated with poorer DFS in PDAC patients ( Yang et al, 2016b ; Ko et al, 2022 ). Increasing levels of MIR31HG enhanced NPC cell growth and metastasis, and could be inhibited by the regulation of mir-31 ( Feng et al, 2020 ).…”

Section: The Expression Level Of Mir31hg In Human Diseasesmentioning

confidence: 99%

MIR31HG, a potential lncRNA in human cancers and non-cancers

Ruan,

Lei,

Yuan

et al. 2023

Front. Genet.

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Long non-coding RNAs have recently attracted considerable attention due to their aberrant expression in human diseases. LncMIR31HG is a novel lncRNA that is abnormally expressed in multiple diseases and implicated in various stages of disease progression. A large proportion of recent studies have indicated that MIR31HG has biological functions by triggering various signalling pathways in the pathogenesis of human diseases, especially cancers. More importantly, the abnormal expression of MIR31HG makes it a potential biomarker in diagnosis and prognosis, as well as a promising target for treatments. This review aims to systematically summarize the gene polymorphism, expression profiles, biological roles, underlying mechanisms, and clinical applications of MIR31HG in human diseases.

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“…Recent studies revealed that numerous non-coding and coding RNA molecules exist in many tumor tissues, with long non-coding RNAs (lncRNAs), microRNAs (miRNAs), and mRNAs as the most abundant (10)(11)(12). The competing endogenous RNA (ceRNA) hypothesis was first proposed by Salmena et al (13), who suggested that any gene containing miRNA response elements can be combined with miRNA through the miRNA response elements, thereby inhibiting the effect of miRNAs and indirectly regulating the expression of protein-coding genes.…”

Section: Introductionmentioning

confidence: 99%

Prognostic biomarkers of pancreatic cancer identified based on a competing endogenous RNA regulatory network

Qu¹,

Lu²,

Mei³

et al. 2022

Transl Cancer Res TCR

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Background: Pancreatic cancer is an insidious and heterogeneous malignancy with poor prognosis that is often locally unresectable. Therefore, determining the underlying mechanisms and effective prognostic indicators of pancreatic cancer may help optimize clinical management. This study was conducted to develop a prognostic model for pancreatic cancer based on a competing endogenous RNA (ceRNA) network.Methods: We obtained transcriptomic data and corresponding clinicopathological information of pancreatic cancer samples from The Cancer Genome Atlas (TCGA) database (training set). Based on the ceRNA interaction network, we screened candidate genes to build prediction models. Univariate Cox regression analysis was performed to screen for genes associated with prognosis, and least absolute shrinkage and selection operator (LASSO) regression analysis was conducted to construct a predictive model. A receiver operating characteristic (ROC) curve was drawn, and the C-index was calculated to evaluate the accuracy of the prediction model. Furthermore, we downloaded transcriptomic data and related clinical information of pancreatic cancer samples from the Gene Expression Omnibus database (validation set) to evaluate the robustness of our prediction model.Results: Eight genes (ANLN, FHDC1, LY6D, SMAD6, ACKR4, RAB27B, AUNIP, and GPRIN3) were used to construct the prediction model, which was confirmed as an independent predictor for evaluating the prognosis of patients with pancreatic cancer through univariate and multivariate Cox regression analysis. By plotting the decision curve, we found that the risk score model is an independent predictor has the greatest impact on survival compared to pathological stage and targeted molecular therapy.Conclusions: An eight-gene prediction model was constructed for effectively and independently predicting the prognosis of patients with pancreatic cancer. These eight genes identified show potential as diagnostic and therapeutic targets.

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Long Non-Coding RNA MIR31HG Promotes the Transforming Growth Factor β-Induced Epithelial-Mesenchymal Transition in Pancreatic Ductal Adenocarcinoma Cells

Cited by 5 publications

References 55 publications

Unboxing the network among long non-coding RNAs and TGF-β signaling in cancer

Unboxing the network among long non-coding RNAs and TGF-β signaling in cancer

MIR31HG, a potential lncRNA in human cancers and non-cancers

Prognostic biomarkers of pancreatic cancer identified based on a competing endogenous RNA regulatory network

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