WITHDRAWN: LncRNA TUG1 promotes breast cancer cell proliferation via inhibiting miR-9

DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorization

BACKGROUND

In the development of science and technology, there are increasing evidences that there are some associations between lncRNAs and human diseases. Therefore, finding these associations between them will have a huge impact on our treatment and prevention of some diseases. However, the process of finding the associations between them is very difficult and requires a lot of time and effort. Therefore, it is particularly important to find some good methods for predicting lncRNA-disease associations (LDAs).

RESULTS

In this paper, we propose a method based on dual sparse collaborative matrix factorization (DSCMF) to predict LDAs. The DSCMF method is improved on the traditional collaborative matrix factorization method. To increase the sparsity, the L2,1-norm is added in our method. At the same time, Gaussian interaction profile kernel is added to our method, which increase the network similarity between lncRNA and disease. Finally, the AUC value obtained by the experiment is used to evaluate the quality of our method, and the AUC value is obtained by the ten-fold cross-validation method.

CONCLUSIONS

The AUC value obtained by the DSCMF method is 0.8523. At the end of the paper, simulation experiment is carried out, and the experimental results of prostate cancer, breast cancer, ovarian cancer and colorectal cancer are analyzed in detail. The DSCMF method is expected to bring some help to lncRNA-disease associations research. The code can access the https://github.com/Ming-0113/DSCMF website.

Identification of cancer-related miRNA-lncRNA biomarkers using a basic miRNA-lncRNA network

LncRNAs are regulatory noncoding RNAs that play crucial roles in many biological processes. The dysregulation of lncRNA is thought to be involved in many complex diseases; lncRNAs are often the targets of miRNAs in the indirect regulation of gene expression. Numerous studies have indicated that miRNA-lncRNA interactions are closely related to the occurrence and development of cancers. Thus, it is important to develop an effective method for the identification of cancer-related miRNA-lncRNA interactions. In this study, we compiled 155653 experimentally validated and predicted miRNA-lncRNA associations, which we defined as basic interactions. We next constructed an individual-specific miRNA-lncRNA network (ISMLN) for each cancer sample and a basic miRNA-lncRNA network (BMLN) for each type of cancer by examining the expression profiles of miRNAs and lncRNAs in the TCGA (The Cancer Genome Atlas) database. We then selected potential miRNA-lncRNA biomarkers based on the BLMN. Using this method, we identified cancer-related miRNA-lncRNA biomarkers and modules specific to a certain cancer. This method of profiling will contribute to the diagnosis and treatment of cancers at the level of gene regulatory networks.

Relationship between LINC00341 expression and cancer prognosis

LINC00341 is a novel long intergenic non-protein coding RNA with unknown functions. In our report, we investigated LINC00341 expression and its prognostic value in cancer patients. DNA over-methylation triggered low expression of LINC00341 and that was associated with poor prognosis in cancers. A meta-analysis further confirmed that high expression of LINC00341 was associated with a better prognosis in cancer patients. Both gene set enrichment analysis and meta-analysis showed that LINC00341 inhibited cancer metastasis. Finally, a large-scale multicentre analysis supported a prognostic value of LINC00341 in cancers.

Long non-coding RNA TUG1 promotes cell proliferation and metastasis by negatively regulating miR-300 in gallbladder carcinoma

BACKGROUND

As we all know, long non-coding RNAs (lncRNAs) have been reported to play vital roles in various human cancers. In this study, we aimed to explore the role of lncRNA TUG1 in gallbladder carcinoma (GBC) development.

METHODS

Total RNA was extracted from the tissues of thirty GBC patients, four GBC cell lines. We detected the expression levels of TUG1 using quantitative real-time PCR. We performed CCK8, colony formation, transwell invasion and apoptosis assays to study the effects of TUG1 on GBC cell proliferation and invasion. Western blot assay was performed to assess to the expression level of epithelial-mesenchymal transition (EMT) markers in transforming growth factor-β1 (TGF-β1) treated and TUG1 knockdown GBC cell. Lastly, dual-luciferase reporter assay and quantitative real-time PCR were performed to verify the potential target microRNAs (miRNAs) of TUG1.

RESULTS

TUG1 expression was significantly overexpressed in GBC tissues. Functionally, this study demonstrated that knockdown of TUG1 significantly inhibited GBC cell proliferation, metastasis. Mechanically, we found that TUG1 is upregulated by TGF-β1, and knockdown of TUG1 inhibited GBC cell EMT. Furthermore, we identified that miR-300, which has been reported as a suppressor in other types of cancer, is negatively regulated by TUG1.

CONCLUSIONS

LncRNA TUG1 promotes GBC cell proliferation, metastasis and EMT progression by functioning as a miRNA sponge to abrogate the endogenous effect of miR-300.