MiRNA expression profiles reveal the involvement of miR-26a, miR-548l and miR-34a in hepatocellular carcinoma progression through regulation of ST3GAL5

Cai, Hongjiao; Zhou, Huimin; Miao, Yuan; Li, Nana; Zhao, Lifen; Li, Jia

doi:10.1038/labinvest.2017.12

Cited by 38 publications

(28 citation statements)

References 32 publications

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“…Overexpression of ST3GAL5 significantly promoted the proliferation and invasion of hepatoma cells. In contrast, knockdown of ST3GAL5 inhibited proliferation and metastasis of hepatoma cells [47].…”

Section: Discussionmentioning

confidence: 90%

A 5-Gene Signature Is Closely Related to Tumor Immune Microenvironment and Predicts the Prognosis of Patients with Non-Small Cell Lung Cancer

Wang

et al. 2020

BioMed Research International

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Purpose. Establishing prognostic gene signature to predict clinical outcomes and guide individualized adjuvant therapy is necessary. Here, we aim to establish the prognostic efficacy of a gene signature that is closely related to tumor immune microenvironment (TIME). Methods and Results. There are 13,035 gene expression profiles from 130 tumor samples of the non-small cell lung cancer (NSCLC) in the data set GSE103584. A 5-gene signature was identified by using univariate survival analysis and Least Absolute Shrinkage and Selection Operator (LASSO) to build risk models. Then, we used the CIBERSORT method to quantify the relative levels of different immune cell types in complex gene expression mixtures. It was found that the ratio of dendritic cells (DCs) activated and mast cells (MCs) resting in the low-risk group was higher than that in the high-risk group, and the difference was statistically significant (P<0.001 and P=0.03). Pathway enrichment results which were obtained by performing Gene Set Variation Analysis (GSVA) showed that the high-risk group identified by the 5-gene signature had metastatic-related gene expression, resulting in lower survival rates. Kaplan–Meier survival results showed that patients of the high-risk group had shorter disease-free survival (DFS) and overall survival (OS) than those of the low-risk group in the training set (P=0.0012 and P<0.001). The sensitivity and specificity of the gene signature were better and more sensitive to prognosis than TNM (tumor/lymph node/metastasis) staging, in spite of being not statistically significant (P=0.154). Furthermore, Kaplan–Meier survival showed that patients of the high-risk group had shorter OS and PFS than those of the low-risk group (P=0.0035, P<0.001, and P<0.001) in the validating set (GSE31210, GSE41271, and TCGA). At last, univariate and multivariate Cox proportional hazard regression analyses were used to evaluate independent prognostic factors associated with survival, and the gene signature, lymphovascular invasion, pleural invasion, chemotherapy, and radiation were employed as covariates. The 5-gene signature was identified as an independent predictor of patient survival in the presence of clinical parameters in univariate and multivariate analyses (P<0.001) (hazard ratio (HR): 3.93, 95% confidence interval CI (2.17–7.1), P=0.001, (HR) 5.18, 95% CI (2.6995–9.945), P<0.001), respectively. Our 5-gene signature was also related to EGFR mutations (P=0.0111), and EGFR mutations were mainly enriched in low-risk group, indicating that EGFR mutations affect the survival rate of patients. Conclusion. The 5-gene signature is a powerful and independent predictor that could predict the prognosis of NSCLC patients. In addition, our gene signature is correlated with TIME parameters, such as DCs activated and MCs resting. Our findings suggest that the 5-gene signature closely related to TIME could predict the prognosis of NSCLC patients and provide some reference for immunotherapy.

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Section: Discussionmentioning

confidence: 90%

A 5-Gene Signature Is Closely Related to Tumor Immune Microenvironment and Predicts the Prognosis of Patients with Non-Small Cell Lung Cancer

Wang

et al. 2020

BioMed Research International

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“…Following hybridization, the slides were washed several times using a Wash Buffer Kit (Exiqon). The slides were scanned using an Axon GenePix 4000B Microarray Scanner (Axon Instruments, Foster City, CA, USA) [20]. …”

Section: Methodsmentioning

confidence: 99%

Expression Profiling of Circular RNAs and Micrornas in Heart Tissue of Mice with Alcoholic Cardiomyopathy

Yang

Chen

Ding

et al. 2018

Cell Physiol Biochem

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Background/Aims: Chronic heavy alcohol consumption may result in alcoholic cardiomyopathy. This study was designed to screen differentially expressed microRNAs and circular RNAs in heart tissue of mice with alcoholic cardiomyopathy to reveal the underlying molecular mechanism. Methods: Having established a murine alcoholic cardiomyopathy model, we screened differentially expressed microRNAs and circular RNAs in three heart samples from the alcohol-treated and control groups by high-throughput microarray analysis. We analyzed the function and biological signaling pathways of differentially expressed non-coding RNAs closely related to alcoholic cardiomyopathy using bioinformatics software to identify some mRNAs and their biological signaling pathways closely related to alcoholic cardiomyopathy. Results: Nineteen microRNAs and 265 circular RNAs were differentially expressed in the alcohol-treated group compared with the control group. After analyzing gene function and signaling pathways by bioinformatics software, we found that the differentially expressed mRNAs were associated with carbohydrate metabolism. Conclusions: Chronic alcohol consumption can change the non-coding RNA profile of heart tissue, which is closely related to the pathological mechanisms of alcoholic cardiomyopathy.

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“…In addition to studies that have evaluated the role of miR-34a alone in cancer pathogenesis, there are some reports that have evaluated the functional involvement of multiple miRNAs in cancer progression and/or therapy, with miR-34a being a part of the miRNA panel. For example, ST3 Beta-Galactoside Alpha-2,3-Sialyltransferase 5 (ST3GAL5), a sialyltransferase gene, has been shown to be directly targeted by miR-34a, miR-548l, and miR-26a [ 42 ]. Overexpression of miR-34a, miR-548l, and miR-26a in MHCC97-L or MHCC97-H cells substantially changed their malignant behaviors and oncogenicity.…”

Section: Mir-34a Co-operates With Multiple Micrornas To Target Difmentioning

confidence: 99%

“…Overexpression of miR-34a, miR-548l, and miR-26a in MHCC97-L or MHCC97-H cells substantially changed their malignant behaviors and oncogenicity. The size and weight of tumors were notably reduced in mice inoculated with miR-34a, miR-548l, and miR-26a, and miR mixture mimics groups [ 42 ]. Data clearly suggested that miR-34a in combination with different tumor suppressor miRNAs negatively regulated ST3GAL5 to inhibit hepatocellular carcinoma.…”

Section: Mir-34a Co-operates With Multiple Micrornas To Target Difmentioning

confidence: 99%

MicroRNA-34a: A Versatile Regulator of Myriads of Targets in Different Cancers

Farooqı

Tabassum

Ahmad

2017

IJMS

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Abstract:MicroRNA-34a (miR-34a) is a tumor suppressor that has attracted considerable attention in recent years. It modulates cancer cell invasion, metastasis, and drug resistance, and has also been evaluated as a diagnostic and/or prognostic biomarker. A number of targets of miR-34a have been identified, including some other non-coding RNAs, and it is believed that the modulation of these myriads of targets underlines the versatile role of miR-34a in cancer progression and pathogenesis. Seemingly appealing results from preclinical studies have advocated the testing of miR-34a in clinical trials. However, the results obtained are not very encouraging and there is a need to re-interpret how miR-34a behaves in a context dependent manner in different cancers. In this review, we have attempted to summarize the most recent evidence related to the regulation of different genes and non-coding RNAs by miR-34a and the advances in the field of nanotechnology for the targeted delivery of miR-34a-based therapeutics and mimics. With the emergence of data that contradicts miR-34a's tumor suppressive function, it is important to understand miR-34a's precise functioning, with the aim to establish its role in personalized medicine and to apply this knowledge for the identification of individual patients that are likely to benefit from miR-34a-based therapy.

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MiRNA expression profiles reveal the involvement of miR-26a, miR-548l and miR-34a in hepatocellular carcinoma progression through regulation of ST3GAL5

Cited by 38 publications

References 32 publications

A 5-Gene Signature Is Closely Related to Tumor Immune Microenvironment and Predicts the Prognosis of Patients with Non-Small Cell Lung Cancer

A 5-Gene Signature Is Closely Related to Tumor Immune Microenvironment and Predicts the Prognosis of Patients with Non-Small Cell Lung Cancer

Expression Profiling of Circular RNAs and Micrornas in Heart Tissue of Mice with Alcoholic Cardiomyopathy

MicroRNA-34a: A Versatile Regulator of Myriads of Targets in Different Cancers

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