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MicroRNA-342-3p is a regulator of hepatocellular carcinoma regression

ABSTRACT: Hepatocellular carcinoma (HCC) is a cancer with global impact and largely refractory to current treatments. Novel treatment options are therefore urgently needed. MicroRNAs play important regulatory roles in HCCs and are emerging as promising therapeutic options against HCC. We identified tumor suppressor miRNAs that may attenuate tumor development and contribute to HCC regression. We identified miR-342-3p as a promising tumor suppressor miRNA. To understand how miR-342-3p affects the global landscape of gene expression, we transfected Huh7 human hepatoma cells with either the scramble control, or a mimic for miR-342-3p and performed mRNA expression profiling.

ORGANISM(S): Homo sapiens

PROVIDER: GSE152950 | GEO | 2020/12/31

REPOSITORIES: GEO

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Negative control and mir-342-3p mimics-transfected RAW264.7 mouse macrophages.

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Identification of mir-342-3p functionally associated with transcriptional activity of MYC in lung cancer [cell culture]

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Project description:To Identify of metastasis-related genes and metastasis-related miRNA in oral squamous cell carcinoma by miRNA profiling of HOC313-Parent, HOC313-LM and their respective exosomes carried out. As a result, miR-342-3p and -1246 were found candidate oncogenic miRNAs. To further identify the target genes of miR-1246 and miR-342-3p, we performed gene expression array analysis with HOC313-LM and HOC313-Parent (HOC313-P) transfected NT, miR-342-3p and miR-1246. Moreover, to identify tumor suppressor genes, gene expression profiles of each of transfected cells and HOC313-LM cells were analyzed by in silico analyses. As a result, DENND2D emerged as the possible target of miRN-1246. Extraction of difference of miRNA expression level between whole cell and exosomes of HOC313-Parent and HOC313-LM. Also, extraction of difference of gene expression level between high-metastatic subline (HOC313-LM) and low-metastatic subline (HOC313-P). Moreover the miRNA expression profiles and gene expression profiles were analyzed by in silico analyses.

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MicroRNA-342-3p is a regulator of hepatocellular carcinoma regression

Project description:MicroRNA-342-3p is a regulator of hepatocellular carcinoma regression

| PRJNA641039 | ENA

Identification of mir-342-3p functionally associated with transcriptional activity of MYC in lung cancer [cell culture]

Project description:Accumulating evidence indicates that altered miRNA expression is crucially involved in lung cancer development, but only little has been elucidated about how MYC, an archetypical oncogene, is regulated by miRNAs, especially through a mechanism involving the MYC cofactor(s). In this study, we aimed at identifying miRNAs involved in the regulation of MYC transcriptional activity in lung cancers. To this end, we have taken an integrative approach with combinatorial usage of miRNA and mRNA expression profile datasets of patients’ tumor tissues as well as those of MYC-inducible cell lines in vitro. We report here that in addition to miRNAs previously reported to be directly regulating or regulated by MYC including let-7 and miR-17-92, our strategy allowed us to identify miR-342-3p as the one capable of indirectly regulating MYC activity through direct repression of a MYC-cooperating molecule, E2F1. Furthermore, the miR-342-3p module activity, which we defined as a gene set reflecting experimentally substantiated influence of miR-342-3p on mRNA expression, was found to be inversely correlated with MYC activity reflected in the MYC module activity in three independent datasets of lung adenocarcinoma patients obtained by the Director’s Challenge Consortium of the United States (P=1.94x10-73), the National Cancer Center of Japan (P=9.05x10-34) and our own in this study (P=3.37x10-6). Our integrative approach thus appears to be useful to elucidate inter-regulatory relationships between miRNAs and a protein coding-gene of interest, even those present in tumor tissues in patients, which still remains a challenge to better understand the pathogenesis of this devastating disease. Microarray analysis using a SurePrint G3 Human GE 8 x 60K Microarray G4851A (Agilent) was conducted.

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