Repression of TGF-β Signaling in Breast Cancer Cells by miR-302/367 Cluster

A Deep-Learning Model With the Attention Mechanism Could Rigorously Predict Survivals in Neuroblastoma

BACKGROUND

Neuroblastoma is one of the most devastating forms of childhood cancer. Despite large amounts of attempts in precise survival prediction in neuroblastoma, the prediction efficacy remains to be improved.

METHODS

Here, we applied a deep-learning (DL) model with the attention mechanism to predict survivals in neuroblastoma. We utilized 2 groups of features separated from 172 genes, to train 2 deep neural networks and combined them by the attention mechanism.

RESULTS

This classifier could accurately predict survivals, with areas under the curve of receiver operating characteristic (ROC) curves and time-dependent ROC reaching 0.968 and 0.974 in the training set respectively. The accuracy of the model was further confirmed in a validation cohort. Importantly, the two feature groups were mapped to two groups of patients, which were prognostic in Kaplan-Meier curves. Biological analyses showed that they exhibited diverse molecular backgrounds which could be linked to the prognosis of the patients.

CONCLUSIONS

In this study, we applied artificial intelligence methods to improve the accuracy of neuroblastoma survival prediction based on gene expression and provide explanations for better understanding of the molecular mechanisms underlying neuroblastoma.

The miR-302s/367 Cluster Inhibits the Proliferation and Apoptosis in Sheep Fetal Fibroblasts via the Cell Cycle and PI3K-Akt Pathways

The miR-302s/367 family has the ability to induce mouse and human somatic cell reprogramming into induced pluripotent stem cells (iPSCs), inhibit the proliferation of several types of cancer cells, and even cause cancer cell apoptosis. However, the functions of the miR-302s/367 family in other mammals have not been explored. In the present study, the effects of miR-302s/367 on reprogramming, proliferation, and apoptosis in sheep fetal fibroblasts (SFFs) were evaluated by the delivery of a plasmid vector containing synthetic precursor miRNAs into cells, followed by the induction of mature miR-302s/367 expression. The results showed that miR-302s/367 could not reprogram SFFs into iPSCs; however, they could inhibit both the proliferation and apoptosis of SFFs by targeting CDK2, E2F1, E2F2, and PTEN in the cell cycle and PI3K-Akt pathways. Based on our findings, a novel mechanism was proposed in which the miR-302s/367 family functions in both the proliferation and apoptosis of somatic cells in mammals, suggesting that caution is needed when using miR-302s/367 as therapeutic agent.

Drug Resistance in Metastatic Breast Cancer: Tumor Targeted Nanomedicine to the Rescue

Breast cancer, specifically metastatic breast, is a leading cause of morbidity and mortality in women. This is mainly due to relapse and reoccurrence of tumor. The primary reason for cancer relapse is the development of multidrug resistance (MDR) hampering the treatment and prognosis. MDR can occur due to a multitude of molecular events, including increased expression of efflux transporters such as P-gp, BCRP, or MRP1; epithelial to mesenchymal transition; and resistance development in breast cancer stem cells. Excessive dose dumping in chemotherapy can cause intrinsic anti-cancer MDR to appear prior to chemotherapy and after the treatment. Hence, novel targeted nanomedicines encapsulating chemotherapeutics and gene therapy products may assist to overcome cancer drug resistance. Targeted nanomedicines offer innovative strategies to overcome the limitations of conventional chemotherapy while permitting enhanced selectivity to cancer cells. Targeted nanotheranostics permit targeted drug release, precise breast cancer diagnosis, and importantly, the ability to overcome MDR. The article discusses various nanomedicines designed to selectively target breast cancer, triple negative breast cancer, and breast cancer stem cells. In addition, the review discusses recent approaches, including combination nanoparticles (NPs), theranostic NPs, and stimuli sensitive or “smart” NPs. Recent innovations in microRNA NPs and personalized medicine NPs are also discussed. Future perspective research for complex targeted and multi-stage responsive nanomedicines for metastatic breast cancer is discussed.

miR-214-5p targeted by LncRNA DANCR mediates TGF-β signaling pathway to accelerate proliferation, migration and inhibit apoptosis of prostate cancer cells

OBJECTIVE

This research was designed to probe into the regulatory mechanism of long non-coding RNA (LncRNA) differentiation antagonizing non-protein coding RNA (DANCR) in potential applications and molecular mechanisms of prostate carcinoma (PC).

METHODS

The DANCR and miR-214-5p levels in PC tissues and cell lines were tested via real-time PCR, and those of transforming growth factor-β (TGF-β) signaling pathway related proteins were evaluated via Western Blot (WB). Cell proliferation, migration, apoptosis and the regulatory relationship between target genes were assessed via MTT method, scratch test, flow cytometry, dual-luciferase report, RNA co-immunoprecipitation and RNA pull-down test, respectively.

RESULTS

DANCR was up-regulated in PC patients' serum and cell lines, while miR-214-5p was opposite, showing negative correlation. Besides, DANCR was significantly correlated with PSA, Gleason score and T stage in PC patients. The area under the curve (AUC) of DANCR and miR-214-5p for diagnosing PC was not less than 0.850, while the AUC for predicting poor prognosis was more than 0.800. Cox analysis results also revealed that the two might be prognostic indicators of PC patients. We found that DANCR high levels or miR-214-5p low levels were related to PC patients' poor prognosis. Up-regulating DANCR or down-regulating miR-214-5p could promote PC cells' malignant proliferation and migration, prevent apoptosis, and activate TGF-β signaling pathway, while reverse treatment of DANCR or miR-214-5p can reverse the above results. DANCR regulates miR-214-5p in a targeted manner, and DANCR over-expression can reduce the cancer inhibitory effect of miR-214-5p on PC cells.

CONCLUSION

DANCR-miR-214-5p-TGF-β axis regulatory network plays a key regulatory part in PC progression. It may provide new strategies for the screening and treatment of patients.