High expression of miR-214 is associated with a worse disease-specific survival of the triple-negative breast cancer patients

MiR214-3p Ameliorates Diabetic Cardiomyopathy by Inhibiting Ferroptosis

Ferroptosis is involved in the pathogenesis of diabetic cardiomyopathy (DCM). It has been shown that miR214-3p regulates ferroptosis, but no studies have shown a relationship between miR214-3p and DCM. This study induced glucolipotoxicity cardiomyocytes by treating HL-1 with high glucose and palmitic acid. Under these conditions, intracellular proteins TfR1 and FTH1, involved in Fe2+ transport and storage, were significantly elevated, and intracellular Fe2+ deposition was increased. The expression of GPX4, a key antioxidant molecule in ferroptosis, was reduced considerably, and the expression of lipid peroxidation-related proteins ACSL4 and COX2 was significantly elevated, with increased intracellular lipid peroxidation. Glucolipotoxicity cardiomyocytes overexpressing miR214-3p showed reduced expression levels of intracellular iron metabolism-related proteins, decreased Fe2+ deposition, elevated GPX4 expression, markedly down-regulated expression of ACSL4 and COX2, and reduced intracellular lipid peroxidation. In contrast, glucolipotoxicity cardiomyocytes with knockdown of miR214-3p showed more severe Fe2+ deposition and lipid peroxidation. In vivo, DCM mice showed significant cardiac function reduction and myocardial fibrosis. Consistent with the in vitro experiments, the expression level of GPX4 in myocardial tissues of DCM mice was reduced, and the expression of FTH1, ACSL4, and COX2 was significantly elevated. In contrast, DCM mice treated with miR214-3p showed improved cardiac function and alleviated myocardial fibrosis, with up-regulated GPX4 protein expression levels and significantly suppressed FTH1, ACSL4, and COX2 expression. These findings revealed that miR214-3p inhibits ferroptosis to improve DCM.

Dual-neighbourhood information aggregation and feature fusion for prediction of miRNA-disease association

Studying the intricate relationship between miRNAs and diseases is crucial to prevent and treat miRNA-related disorders. Existing computational methods often overlook the importance of features of different nodes and the propagation of features among heterogeneous nodes. Many prediction models focus only on the feature coding of miRNA and diseases and ignore the importance of feature aggregation. We propose a prediction method via dual-neighbourhood feature aggregation and feature fusion, which uses multiple sources of information, aggregates information on homogeneous and heterogeneous nodes and fuses learned features to predict multiple representations of disease nodes. We constructed similarity networks of multiple homogeneous nodes based on different similarity computation methods respectively, and fused the attention mechanism by using graph convolutional networks to obtain information of different levels of importance. To alleviate the problem of sparse connectivity in the dataset, we built a two-neighbourhood heterogeneous graph neural network model to integrate the homogeneous similarity network into a miRNA-disease heterogeneous network by using known miRNA-disease association information. We used the neighbourhood information associated with the nodes in the network to perform feature aggregation. In addition, we used a feature fusion module to learn the importance of different types of nodes to predict miRNA-disease associations. Our experimental results on the Human microRNA Disease Database (HMDD v3.2) show that the model demonstrates superior performance. This work demonstrates the capability of our model to identify potential miRNAs associated with diseases through a case study of two common cancers.

The role of non-coding RNAs in extracellular vesicles in breast cancer and their diagnostic implications

Breast Cancer (BC) is the most common form of cancer worldwide, responsible for 25% of cancers in women. Whilst treatment is effective and often curative in early BC, metastatic disease is incurable, highlighting the need for early detection. Currently, early detection relies on invasive procedures, however recent studies have shown extracellular vesicles (EVs) obtained from liquid biopsies may have clinical utility. EVs transport diverse bioactive cargos throughout the body, play major roles in intercellular communication and, importantly, mirror their cell of origin. In cancer cells, EVs alter the behaviour of the tumour microenvironment (TME), forming a bridge of communication between cancerous and non-cancerous cells to alter all aspects of cancer progression, including the formation of a pre-metastatic niche. Through gene regulatory frameworks, non-coding RNAs (ncRNAs) modulate vital molecular and cellular processes and can act as both tumour suppressors and oncogenic drivers in various cancer types. EVs transport and protect ncRNAs, facilitating their use clinically as liquid biopsies for early BC detection. This review summarises current research surrounding ncRNAs and EVs within BC, focusing on their roles in cancer progression through bi-directional communication with the microenvironment and their diagnostic implications. The role of EV ncRNAs in breast cancer. A representation of the different EV ncRNAs involved in tumourigenic processes in breast cancer. Pro-tumourigenic ncRNAs displayed in green and ncRNAs which inhibit oncogenic processes are shown in red.

Effect of Borrelia burgdorferi on the Expression of miRNAs in Breast Cancer and Normal Mammary Epithelial Cells

Breast cancer is one of the leading causes of death in women worldwide. Recent studies have demonstrated that inflammation due to infections with microorganisms could play a role in breast cancer development. One of the known human pathogens, Borrelia burgdorferi, the causative agent of Lyme disease, has been shown to be present in various types of breast cancer and is associated with poor prognosis. We reported that B. burgdorferi can invade breast cancer cells and affect their tumorigenic phenotype. To better understand the genome-wide genetic changes caused by B. burgdorferi, we evaluated the microRNA (miRNA or miR) expression profiles of two triple-negative breast cancer cell lines and one non-tumorigenic mammary cell line before and after B. burgdorferi infection. Using a cancer-specific miRNA panel, four miRNAs (miR-206, 214-3p, 16-5p, and 20b-5p) were identified as potential markers for Borrelia-induced changes, and the results were confirmed by quantitative real-time reverse transcription (qRT-PCR). Among those miRNAs, miR-206 and 214 were the most significantly upregulated miRNAs. The cellular impact of miR-206 and 214 was evaluated using DIANA software to identify related molecular pathways and genes. Analyses showed that the cell cycle, checkpoints, DNA damage-repair, proto-oncogenes, and cancer-related signaling pathways are mostly affected by B. burgdorferi infection. Based on this information, we have identified potential miRNAs which could be further evaluated as biomarkers for tumorigenesis caused by pathogens in breast cancer cells.

Stroma-derived miR-214 coordinates tumor dissemination

BACKGROUND

Tumor progression is based on a close interaction between cancer cells and Tumor MicroEnvironment (TME). Here, we focus on the role that Cancer Associated Fibroblasts (CAFs), Mesenchymal Stem Cells (MSCs) and microRNAs (miRs) play in breast cancer and melanoma malignancy.

METHODS

We used public databases to investigate miR-214 expression in the stroma compartment of primary human samples and evaluated tumor formation and dissemination following tumor cell injections in miR-214 overexpressing (miR-214over) and knock out (miR-214ko) mice. In addition, we dissected the impact of Conditioned Medium (CM) or Extracellular Vesicles (EVs) derived from miR-214-rich or depleted stroma cells on cell metastatic traits.

RESULTS

We evidence that the expression of miR-214 in human cancer or metastasis samples mostly correlates with stroma components and, in particular, with CAFs and MSCs. We present data revealing that the injection of tumor cells in miR-214over mice leads to increased extravasation and metastasis formation. In line, treatment of cancer cells with CM or EVs derived from miR-214-enriched stroma cells potentiate cancer cell migration/invasion in vitro. Conversely, dissemination from tumors grown in miR-214ko mice is impaired and metastatic traits significantly decreased when CM or EVs from miR-214-depleted stroma cells are used to treat cells in culture. Instead, extravasation and metastasis formation are fully re-established when miR-214ko mice are pretreated with miR-214-rich EVs of stroma origin. Mechanistically, we also show that tumor cells are able to induce miR-214 production in stroma cells, following the activation of IL-6/STAT3 signaling, which is then released via EVs subsequently up-taken by cancer cells. Here, a miR-214-dependent pro-metastatic program becomes activated.

CONCLUSIONS

Our findings highlight the relevance of stroma-derived miR-214 and its release in EVs for tumor dissemination, which paves the way for miR-214-based therapeutic interventions targeting not only tumor cells but also the TME.

The Role of miRNAs in the Prognosis of Triple-Negative Breast Cancer: A Systematic Review and Meta-Analysis

Breast cancer is one of the most common malignancies among women around the world. The basal or triple-negative subtype (TNBC) is a heterogeneous group of tumors, characterized by its aggressive and metastatic nature, with low survival and worse prognosis. Research on genetic biomarkers, such as microRNAs (miRs) in TNBC, demonstrate their relevance in the prognosis of the disease. Therefore, the objective of this research was to verify the role of miRs in the prognosis of TNBC. A search was carried out in the PubMed (MEDLINE), Web of Science, and Scopus databases, with articles in the English language from 2010 to 2022. Only articles that analyzed the role of miRNAs in the prognosis of TNBC and that met the criteria of the MOOSE method were included. For the preparation and planning of this systematic review, a PRISMA checklist and the MOOSE method were used. The Newcastle-Ottawa Scale was used to analyze the quality of the included studies. The excluded criteria considered were: (1) studies that presented duplication in the databases; (2) reviews of the literature, clinical case reports, meta-analyses, conference abstracts, letters to the editor, theses, dissertations, and book chapters; (3) studies that stratified only women diagnosed with other subtypes of breast cancer subtypes; (4) experiments without a control or comparison group. After the bibliographic survey of the 2.274 articles found, 43 articles met the inclusion criteria, totaling 5421 patients with TNBC analyzed for this review. Six miRs (miR-155, miR-21, miR-27a/b/, miR-374a/b, miR-30a/c/e, and miR-301a) were included in the meta-analysis. A low expression of miR-155 was associated with reduced overall survival (OS) (HR: 0.68, 95% CI: 0.58-0.81). A high expression of miR-21 was a predictor of OS reduction (HR: 2.56; 95% CI: 1.49-4.40). In addition, high levels of miR-27a/b and miR-301a/b were associated with lower OS, while the decreased expression levels of miR-30 and miR-374a/b were associated with worse relapse-free survival (RFS) and shorter disease-free survival (DFS), respectively. The present study revealed that miRs play essential roles in the development of metastases, in addition to acting as suppressors of the disease, thus improving the prognosis of TNBC. However, the clinical application of these findings has not yet been investigated.

Review article epithelial to mesenchymal transition‑associated microRNAs in breast cancer

Despite major advances, breast cancer (BC) is the most commonly diagnosed carcinoma and remains a deadly disease among women worldwide. Many researchers point toward an important role of an epithelial to mesenchymal transition (EMT) in BC development and promoting metastasis. Here, will be discussed that how functional changes of transcription factors, signaling pathways, and microRNAs (miRNA) in BC promote EMT. A thorough understanding the EMT biology can be important to determine reversing the process and design treatment approaches. There are frequent debates as to whether EMT is really relevant to BC in vivo, in which due to the intrinsic heterogeneity and tumor microenvironment. Nevertheless, given the importance of EMT in cancer progression and metastasis, the implementation of therapies against cancer-associated EMT will continue to help us develop and test potential treatments.

MicroRNA-214 in Health and Disease

MicroRNAs (miRNAs) are endogenously expressed, non-coding RNA molecules that mediate the post-transcriptional repression and degradation of mRNAs by targeting their 3′ untranslated region (3′-UTR). Thousands of miRNAs have been identified since their first discovery in 1993, and miR-214 was first reported to promote apoptosis in HeLa cells. Presently, miR-214 is implicated in an extensive range of conditions such as cardiovascular diseases, cancers, bone formation and cell differentiation. MiR-214 has shown pleiotropic roles in contributing to the progression of diseases such as gastric and lung cancers but may also confer cardioprotection against excessive fibrosis and oxidative damage. These contrasting functions are achieved through the diverse cast of miR-214 targets. Through silencing or overexpressing miR-214, the detrimental effects can be attenuated, and the beneficial effects promoted in order to improve health outcomes. Therefore, discovering novel miR-214 targets and understanding how miR-214 is dysregulated in human diseases may eventually lead to miRNA-based therapies. MiR-214 has also shown promise as a diagnostic biomarker in identifying breast cancer and coronary artery disease. This review provides an up-to-date discussion of miR-214 literature by describing relevant roles in health and disease, areas of disagreement, and the future direction of the field.

Circular RNAs of UDP-Glycosyltransferase (UGT) Genes Expand the Complexity and Diversity of the UGT Transcriptome

The human UDP-glycosyltransferase (UGT) gene superfamily generates 22 canonical transcripts coding for functional enzymes and also produces nearly 150 variant UGT transcripts through alternative splicing and intergenic splicing. In the present study, our analysis of circRNA databases identified backsplicing events that predicted 85 circRNAs from UGT genes, with 33, 11, and 19 circRNAs from UGT1A, UGT2B4, UGT8, respectively. Most of these UGT circRNAs were reported by one database and had low abundance in cell- or tissue-specific contexts. Using reverse-transcriptase polymerase chain reaction with divergent primers and cDNA samples from human tissues and cell lines, we found 13 circRNAs from four UGT genes: UGT1A (three), UGT2B7 (one), UGT2B10 (one), and UGT8 (eight). Notably, all eight UGT8 circRNAs contain open reading frames that include the canonical start AUG codon and encode variant proteins that all have the common 274-amino acidN-terminal region of wild-type UGT8 protein. We further showed that one UGT8 circRNA (circ_UGT8-1) was broadly expressed in human tissues and cell lines, resistant to RNase R digestion, and predominately present in the cytoplasm. We cloned five UGT8 circRNAs into the Zinc finger with KRAB and SCAN domains 1 vector and transfected them into HEK293T cells. All these vectors produced both circRNAsand linear transcripts with varying circular/linear ratios (0.17-1.14).Western blotting and mass spectrometry assays revealed that only linear transcripts and not circRNAs were translated. In conclusion, our findings of nearly 100 circRNAs greatly expand the complexity and diversity of the UGT transcriptome; however, UGT circRNAs are expressed at a very low level in specific cellular contexts, and their biologic functions remain to be determined. SIGNIFICANCE STATEMENT: The human UGT gene transcriptome comprises 22 canonical transcripts coding for functional enzymes and approximately 150 alternatively spliced and chimeric variant transcripts. The present study identified nearly 100 circRNAs from UGT genes, thus greatly expanding the complexity and diversity of the UGT transcriptome. UGT circRNAs were expressed broadly in human tissues and cell lines; however, most showed very low abundance in tissue- and cell-specific contexts, and therefore their biological functions remain to be investigated.

MiR-214-3p regulates the viability, invasion, migration and EMT of TNBC cells by targeting ST6GAL1

MiR-214-3p is concerned with the outcomes of various tumors, such as liver cancer, bladder cancer, etc. However, the role and target of miR-214-3p in triple negative breast cancer (TNBC) is not fully understood. This study took this as the entry point, with a view to find a potential target for TNBC. The expressions of miR-214-3p in TNBC tissues and cell lines were detected, and the effects of miR-214-3p inhibitor on the viability, migration, invasion and epithelial mesenchymal transition (EMT) of TNBC cells were further analyzed. The potential target of miR-214-3p were predicted and verified, as well as the effects of target silencing on the TNBC cells were also measured. MiR-214-3p was abnormally elevated in both TNBC tissues and cell lines, especially in MDA-MB-468 cells. Low-expression of miR-214-3p restrained the survival, migration, invasion and EMT of TNBC cells. ST6GAL1 was the target gene of miR-214-3p, and its expression level increased with the low-expression of miR-214-3p. ST6GAL1 expression was abnormally reduced in both TNBC tissues and cell lines. The silence of ST6GAL1 promoted the viability, migration, invasion and EMT of TNBC cells, which could be reversed by miR-214-3p inhibitor. The down-regulation of miR-214-3p could suppress the viability, migration, invasion and EMT of TNBC cells though targeting ST6GAL1, which might be a potential target for future treatment of TNBC. Up-regulation of miR-214-3p could promote the EMT of non-TNBC cells.

Inhibition of miR‑214 attenuates the migration and invasion of triple‑negative breast cancer cells

Triple‑negative breast cancer (TNBC) is a subtype of breast cancer. MicroRNA (miR)‑214 is closely associated with controlling the development of tumor cells; therefore, in the present study, the target gene and effects of miR‑214 on TNBC cells were explored. Luciferase activity was examined by luciferase reporter assay. The viability, invasion and migration of MDA‑MB‑231 TNBC cells were measured using Cell Counting kit‑8, Transwell and wound‑healing assays, respectively. The expression levels of various factors were determined using reverse transcription‑quantitative polymerase chain reaction and western blotting. The results demonstrated that the expression levels of miR‑214 were higher and the levels of α1‑antitrypsin (α1‑AT) were lower in TNBC tissues compared with in normal tissues. Subsequently, α1‑AT was revealed to be a target of miR‑214. Furthermore, inhibition of miR‑214 decreased cell viability, invasion and migration, enhanced the expression of E‑cadherin and tissue inhibitor of metalloproteinases‑2, and reduced the expression of metastatic tumour antigen 1 and matrix metalloproteinase‑2. Inhibition of miR‑214 also significantly downregulated the phosphorylation of protein kinase B (Akt) and mammalian target of rapamycin (mTOR), and markedly downregulated that of phosphoinositide 3‑kinase (PI3K); however, the expression levels of total PI3K, Akt and mTOR remained stable in all groups. Taken together, these findings indicated that α1‑AT may be a target of miR‑214. Downregulation of miR‑214 markedly suppressed the viability, migration and invasion of MDA‑MB‑231 cells, and inhibited the PI3K/Akt/mTOR pathway. These findings suggested that miR‑214 targeting α1‑AT may be a potential mechanism underlying TNBC development.

miRNA in a multiomic context for diagnosis, treatment monitoring and personalized management of metastatic breast cancer

Metastatic breast cancer is characterized by aggressive spreading to distant organs. Despite huge multilevel research, there are still several important challenges that have to be clarified in the management of this disease. Therefore, recent investigations have implemented a modern, multiomic approach with the aim of identifying specific biomarkers for not only early detection but also to predict treatment responses and metastatic spread. Specific attention is paid to short miRNAs, which regulate gene expression at the post-transcriptional level. Aberrant miRNA expression could initiate cancer development, cell proliferation, invasion, migration, metastatic spread or drug resistance. An miRNA signature is, therefore, believed to be a promising biomarker and prediction tool that could be utilized in all phases of carcinogenesis. This article offers comprehensive information about miRNA profiles useful for diagnostic and treatment purposes that may sufficiently advance breast cancer management and improve individual outcomes in the near future.

MiR-144 suppresses proliferation, invasion, and migration of breast cancer cells through inhibiting CEP55

OBJECTIVE

The study aimed to investigate the molecular mechanism of miR-144 and CEP55 as well as the influence of their interaction on the cell proliferation, migration, invasion, cell cycle and cell apoptosis in breast cancer.

METHODS

In this study, The Cancer Genome Atlas (TCGA, https://tcga-data.nci.nih.gov/ ) database was used for microarray analysis. The expressions of miR-144 and CEP55 in 40 adjacent tissues and 36 tumor tissues were examined by western blot, qRT-PCR and immunohistochemistry. The target relationship between miR-144 and CEP55 was predicted and confirmed by TargetScan and luciferase reporter assay. The cell proliferation, cell cycle and cell apoptosis in different groups were detected by MTT and flow cytometry assays, while wound healing and transwell assays were used for the cell migration and invasion tests. The regulatory effects of miR-144 and CEP55 on breast tumor were verified through nude mouse model in vivo experiment.

RESULTS

MiR-144 was down-regulated in breast cancerous tissues and cells, whereas CEP55 expression was up-regulated in breast cancerous tissues. Moreover, there existed a target relationship between miR-144 and CEP55 and negative correlation on their expressions. MiR-144 could down-regulate CEP55 expression, thereby inhibiting proliferation, invasion, migration, retarding cell cycle and accelerating cell apoptosis. MiR-144 could inhibit cell progression through down-regulating CEP55 in vivo.

CONCLUSION

MiR-144 suppressed cell proliferation, migration, invasion and induced cell cycle arrest and cell apoptosis by repressing CEP55. This might provide a promising therapy for clinical treatment.

A 4-microRNA signature predicts lymph node metastasis and prognosis in breast cancer

Recent findings have reported that human microRNAs (miRNAs) could serve as prognostic biomarkers in various cancers. We aimed to identify miRNAs that were associated with lymph node metastasis (LNM) and prognosis in breast cancer patients. A miRNA microarray covering 2019 mature miRNAs was used to identify differentially expressed miRNAs in 9 patients with LNM and 3 patients without LNM. Thirty-five differentially expressed miRNAs were identified, of which 10 significantly were up-regulated, whereas the other 25 were down-regulated in tissues with LNM compared with those without LNM. Seven miRNAs were subjected to quantitative real-time polymerase chain PCR (qRT-PCR) reaction, and 4 miRNAs (miR-191-5p, miR-214-3p, miR-451a, and miR-489) were validated in a total of 159 patients including a training set (n = 64) and a validation set (n = 95). The 4 miRNAs were used to construct a miRNA signature by logistic regression. Risk scores derived from the 4-miRNA signature were calculated to stratify the patients into high- or low-risk groups. Patients with high-risk scores had poorer overall survival and disease-free survival than did those with low-risk scores. The miRNA signature was an independent prognostic factor. MiR-191-5p increased, whereas miR-214-3p, miR-451a, and miR-489 inhibited cell proliferation, migration, and invasion abilities. The 4-miRNA signature may be a reliable prognostic and predictive tool for metastasis and survival in breast cancer patients.

Prognostic value of the microRNA-214 in multiple human cancers: a meta-analysis of observational studies

Previous studies showed that microRNA-214 (miR-214) may act as a prognostic biomarker of cancer. However, the available evidence is controversial. This study summarizes evidence and evaluates the prognostic role of miR-214 in various cancers. We carried out a systematic literature review and assessed the quality of included studies based on Oxford Centre for Evidence-based Medicine Criteria and Newcastle-Ottawa Scale (NOS). Pooled hazard ratios (HRs) with corresponding 95% confidence intervals (CIs) for overall survival (OS) and disease free survival/progressive free survival/recurrence free survival (DFS/PFS/RFS) were calculated to measure the effective value of miR-214 expression on prognosis. Thirteen studies were included in pooled analysis. We found that miR-214 was significantly correlated with OS (HR=2.21, 95%CI: 1.33-3.68, P=0.00), no significant difference was found with DFS/PFS/RFS (HR=1.73, 95%CI: 0.78-3.83, P=0.18) in various carcinomas. In subgroup analysis, higher expression of miR-214 was significantly associated with poor OS in Asians (HR=2.27, 95%CI: 1.09-4.73, P=0.00) and Caucasians (HR=2.04, 95%CI: 1.47-3.30, P=0.00). On the contrary, high miR-214 expression significantly predicted favorable DFS/PFS/RFS (HR=0.50, 95%CI: 0.31-0.82, P=0.00) in hepatocellular carcinoma (HCC) group. Our data indicates that high miR-214 could be a promising biomarker for prognosis prediction of cancer. However, further clinical studies are needed for the current insufficient relevant data.

A new method to study the change of miRNA-mRNA interactions due to environmental exposures

MOTIVATION

Integrative approaches characterizing the interactions among different types of biological molecules have been demonstrated to be useful for revealing informative biological mechanisms. One such example is the interaction between microRNA (miRNA) and messenger RNA (mRNA), whose deregulation may be sensitive to environmental insult leading to altered phenotypes. The goal of this work is to develop an effective data integration method to characterize deregulation between miRNA and mRNA due to environmental toxicant exposures. We will use data from an animal experiment designed to investigate the effect of low-dose environmental chemical exposure on normal mammary gland development in rats to motivate and evaluate the proposed method.

RESULTS

We propose a new network approach-integrative Joint Random Forest (iJRF), which characterizes the regulatory system between miRNAs and mRNAs using a network model. iJRF is designed to work under the high-dimension low-sample-size regime, and can borrow information across different treatment conditions to achieve more accurate network inference. It also effectively takes into account prior information of miRNA-mRNA regulatory relationships from existing databases. When iJRF is applied to the data from the environmental chemical exposure study, we detected a few important miRNAs that regulated a large number of mRNAs in the control group but not in the exposed groups, suggesting the disruption of miRNA activity due to chemical exposure. Effects of chemical exposure on two affected miRNAs were further validated using breast cancer human cell lines.

AVAILABILITY AND IMPLEMENTATION

R package iJRF is available at CRAN.

CONTACTS

pei.wang@mssm.edu or susan.teitelbaum@mssm.edu.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

MicroRNAs in the prognosis of triple-negative breast cancer: A systematic review and meta-analysis

BACKGROUND

Triple-negative breast cancer (TNBC) is a heterogeneous group of tumors characterized by their aggressive nature and poor associated survival. MicroRNAs (miRs) have been found to play an important role in the occurrence and development of human cancers, but their role in the prognosis of TNBC patients remains unclear. We performed a meta-analysis to explore the prognostic value of miRs in TNBC.

METHODS

We systematically searched the PubMed, Embase, and Web of Science databases to identify eligible studies. A meta-analysis was performed to estimate the pooled hazard ratios (HRs) and their corresponding 95% confidence intervals (CIs) for the associations between levels of miR expression (predictive factors) and overall survival (OS) and disease-free survival (DFS) (outcomes) in patients with TNBC.

RESULTS

After performing the literature search and review, 21 relevant studies including 2510 subjects were identified. Six miRs (miR-155, miR-21, miR-27a/b, miR-374a/b, miR-210, and miR-454) were assessed in the meta-analysis. Decreased expression of miR-155 was associated with reduced OS (adjusted HR = 0.58, 95% CI: 0.34-0.99; crude HR = 0.67, 95% CI: 0.58-0.79). High miR-21 expression was also predictive of reduced OS (crude HR = 2.50, 95% CI: 1.56-4.01). We found that elevated levels of miR-27a/b, miR-210, and miR-454 expression were associated with shorter OS, while the levels of miR-454 and miR-374a/b expression were associated with DFS.

CONCLUSIONS

Specific miRs could serve as potential prognostic biomarkers in TNBC. Due to the limited research available, the clinical application of these findings has yet to be verified.

MiRNAs Predict the Prognosis of Patients with Triple Negative Breast Cancer: A Meta-Analysis

PURPOSE

miRNAs are stable and can be extracted from tissues, blood and other body fluid without degradation. miRNAs are abnormally expressed in the presence of a pathological status, including cancer. Therefore, miRNAs are ideal biomarkers for cancer diagnosis and prognosis. Patients with triple negative breast cancer (TNBC) suffer the worst prognosis, although great efforts have been made. Many studies have investigated the role of miRNAs in predicting the outcomes of TNBC patients for better adjustment of treatment. However, results were inconsistent. Thus, we performed a meta-analysis to summarize the published studies for conclusive results.

METHODS

Eligible studies from different database were retrieved from the online databases, and we used STSTA 12.0 to analysis the prognostic role of miRNAs in triple negative breast cancer.

RESULTS

Overall high miRNA expression indicated a worse survival with HR value of 1.78 (95% CI: 0.97-3.25). However, subtotal HRs of oncogenic miRNAs and tumor suppressive miRNAs were 2.73 (95% CI: 2.08-3.57; P<0.001) and 0.44 (95% CI: 0.21-0.90; P = 0.024), respectively, and no heterogeneity was observed within the subgroups.

CONCLUSIONS

The miRNAs showed a slightly stronger prognostic value for disease-free survival, relapse-free survival and distant metastasis-free survival compared to the overall survival of TNBC patients. Circulating miRNAs could serve as potential biomarkers for the prognosis of TNBC patients and need further investigation.

Crosstalk between the vitamin D receptor (VDR) and miR-214 in regulating SuFu, a hedgehog pathway inhibitor in breast cancer cells

The vitamin D receptor (VDR), and its ligand 1α,25-dihydroxyvitamin D₃ (1,25D₃) prevent breast cancer development and progression, yet the molecular mechanisms governing this are unclear. MicroRNAs (miRNAs) on the other hand, promote or inhibit breast cancer growth. To understand how VDR regulates miRNAs, we compared miRNA expression of wild-type (WT) and VDR knockout (VDRKO) breast cancer cells by a Mouse Breast Cancer miRNA PCR array. Compared to VDR WT cells, expressions of miR-214, miR-199a-3p and miR-199a-5p of the miR-199a/miR-214 cluster were 42, 15, and 10 fold higher in VDRKO cells respectively. Overexpression of VDR in breast cancer cells reduced the miR-199a/miR-214 cluster expression by 30%. VDR status also negatively correlated with Dnm3os expression, a non-coding RNA transcript of the dynamin-3 gene encoding the miR-199a/miR-214 cluster, suggesting that VDR represses this cluster through Dnm3os. Conversely, overexpression of miR-214 in MCF-7 and T47D cells antagonized VDR mediated signaling. Furthermore, there was a positive correlation between VDR status and the expression of Suppressor of fused gene (SuFu), a hedgehog pathway inhibitor. miR-214 on the other hand suppressed SuFu protein expression. These findings suggest a crosstalk between VDR and miR-214 in regulating hedgehog signaling in breast cancer cells, providing new therapies for breast cancer.