A comprehensive clinicopathological evaluation of the differential expression of microRNA-331 in breast tumors and its diagnostic significance

Predictive and Prognostic Value of Non-Coding RNA in Breast Cancer

For decades since the central dogma, cancer biology research has been focusing on the involvement of genes encoding proteins. It has been not until more recent times that a new molecular class has been discovered, named non-coding RNA (ncRNA), which has been shown to play crucial roles in shaping the activity of cells. An extraordinary number of studies has shown that ncRNAs represent an extensive and prevalent group of RNAs, including both oncogenic or tumor suppressive molecules. Henceforth, various clinical trials involving ncRNAs as extraordinary biomarkers or therapies have started to emerge. In this review, we will focus on the prognostic and diagnostic role of ncRNAs for breast cancer.

Discovering Common miRNA Signatures Underlying Female-Specific Cancers via a Machine Learning Approach Driven by the Cancer Hallmark ERBB

Big data processing, using omics data integration and machine learning (ML) methods, drive efforts to discover diagnostic and prognostic biomarkers for clinical decision making. Previously, we used the TCGA database for gene expression profiling of breast, ovary, and endometrial cancers, and identified a top-scoring network centered on the ERBB2 gene, which plays a crucial role in carcinogenesis in the three estrogen-dependent tumors. Here, we focused on microRNA expression signature similarity, asking whether they could target the ERBB family. We applied an ML approach on integrated TCGA miRNA profiling of breast, endometrium, and ovarian cancer to identify common miRNA signatures differentiating tumor and normal conditions. Using the ML-based algorithm and the miRTarBase database, we found 205 features and 158 miRNAs targeting ERBB isoforms, respectively. By merging the results of both databases and ranking each feature according to the weighted Support Vector Machine model, we prioritized 42 features, with accuracy (0.98), AUC (0.93–95% CI 0.917–0.94), sensitivity (0.85), and specificity (0.99), indicating their diagnostic capability to discriminate between the two conditions. In vitro validations by qRT-PCR experiments, using model and parental cell lines for each tumor type showed that five miRNAs (hsa-mir-323a-3p, hsa-mir-323b-3p, hsa-mir-331-3p, hsa-mir-381-3p, and hsa-mir-1301-3p) had expressed trend concordance between breast, ovarian, and endometrium cancer cell lines compared with normal lines, confirming our in silico predictions. This shows that an integrated computational approach combined with biological knowledge, could identify expression signatures as potential diagnostic biomarkers common to multiple tumors.

The expression of microRNA-331-3p and microRNA-23b3 in Egyptian patients with early-stage hepatocellular carcinoma in hepatitis C-related liver cirrhosis

Background

Hepatocellular carcinoma and hepatitis C are strongly associated. The current work aimed to study the expression levels of microRNA-331-3p and microRNA-23b-3p as propable biomarkers for detecting liver cancer (HCC) at its early stages in patients with HCV-related liver cirrhosis. The current prospective study included two hundred participants, divided into three groups: group I, 100 patients with HCV-related liver cirrhosis; group II, 50 HCC patients at early stages; and group III, 50 apparentlyhealthy controls. All patients had routine laboratory workup and ultrasound hepatic assessment. Values of microRNA-331-3p and microRNA-23b-3p were measured by real-time quantitative PCR.

Results

Levels of miR-331-3p were significantly higher in HCC patients than in cirrhotic patients and controls (p < 0.001), while levels of miR-23b-3p were significantly lower in HCC patients compared to cirrhotics and controls (p < 0.001). ROC curve revealed that miR-23b-3p had 80% sensitivity and 74% specificity, miR-331-3p had 66% sensitivity and 61% specificity, and AFP had 64% sensitivity and 61% specificity of 61% in discrimination between HCC patients from controls.

Conclusion

Serum miR-23b-3p is a more effective predictor than miR-331-3p and AFP for the development of hepatocellular carcinoma in hepatitis C (HCV)-related cirrhotic patients.

Evaluation of miR-331-3p and miR-23b-3p as serum biomarkers for hepatitis c virus-related hepatocellular carcinoma at early stage

BACKGROUND AND AIMS

This study aimed to investigate the diagnostic values of serum miR-331-3p and miR-23b-3p as tumor markers for the diagnosis of hepatocellular carcinoma (HCC) at early stage.

METHODS

A total of 191 subjects were enrolled and consisted of 45 healthy controls (HC), 106 hepatitis c virus (HCV)-related chronic liver disease (CLD) patients, and 40 early-stage HCC patients. CLD patients were subdivided according to Metavir fibrosis-scoring. Serum miR-331-3p and miR-23b-3p were measured. The area under curves (AUC) was calculated for each microRNA and compared with that for alpha-fetoprotein (AFP) in the detection of HCC at early stage.

RESULTS

Serum miR-331-3p was significantly higher in early-stage HCC than that in CLD and HC respectively, and it decreased significantly after surgery in early-stage HCC. Contrarily, serum miR-23b-3p was significantly lower in early-stage HCC and increased significantly after surgery. Further, receiver operating characteristic analysis demonstrated AUC was 0.806 (95%CI: 0.728-0.883; sensitivity: 85.85%, specificity: 65.00%) for serum miR-23b-3p in discriminating early-stage HCC from CLD patients, higher than that for AFP (AUC:0.660, 95%CI: 0.556-0.764; sensitivity: 70.00%, specificity: 56.60%). In discrimination early-stage HCC from severe fibrosis/cirrhosis (F3 + F4) patients, both miR-23b-3p (AUC: 0.796, 95%CI: 0.703-0.889; sensitivity: 85.11%, specificity: 65.00%) and miR-331-3p (AUC:0.832, 95%CI: 0.812-0.953; sensitivity: 75.00%, specificity: 85.11%) had better diagnostic performances than AFP (AUC:0.632, 95%CI: 0.512-0.753; sensitivity: 50.00%, specificity: 55.32%). Serum miR-331-3p levels also showed a significant correlation with BCLC stages of HCC.

CONCLUSION

Serum miR-331-3p and miR-23b-3p could be used as novel invasive biomarkers in the early detection of HCC in high-risk patients.

MicroRNA-331 inhibits development of gastric cancer through targeting musashi1

BACKGROUND

The molecular mechanisms involved in microRNAs (miRNAs) have been extensively investigated in gastric cancer (GC). However, how miR-331 regulates GC pathogenesis remains unknown.

AIM

To illuminate the effect of miR-331 on cell metastasis and tumor growth in GC.

METHODS

The qRT-PCR, CCK8, Transwell, cell adhesion, Western blot, luciferase reporter and xenograft tumor formation assays were applied to explore the regulatory mechanism of miR-331 in GC.

RESULTS

Downregulation of miR-331 associated with poor prognosis was detected in GC. Functionally, miR-331 suppressed cell proliferation, metastasis and tumor growth in GC. Further, miR-331 was verified to directly target musashi1 (MSI1). In addition, miR-331 inversely regulated MSI1 expression in GC tissues. Furthermore, upregulation of MSI1 weakened the inhibitory effect of miR-331 in GC.

CONCLUSION

miR-331 inhibited development of GC through targeting MSI1, which may be used as an indicator for the prediction and prognosis of GC.

Suppression of the proliferation and invasion of breast cancer cells by ST7L occurs through inhibition of activation of Wnt/GSK-3β/β-catenin signalling

Emerging evidence has indicated that suppression of tumorigenicity 7-like (ST7L) is a tumour suppressor in multiple types of cancers. However, the functional involvement of ST7L has not been studied in breast cancer. In the present study, we aimed to investigate the potential biological function of ST7L in breast cancer. Herein, we found that ST7L expression was frequently downregulated in breast cancer cell lines. Functional assays revealed that ST7L overexpression significantly inhibited the proliferation and invasion of breast cancer cells, while ST7L silencing showed opposite effect. Notably, ST7L was found to decrease glycogen synthase kinase (GSK)-3β phosphorylation and downregulate active β-catenin protein expression, thereby leading to repression of β-catenin transcriptional activity. Activation of Wnt/β-catenin signalling by treatment of GSK-3β inhibitor significantly abrogated ST7L-mediated antitumour effect. Additionally, ST7L overexpression blunted the tumorigenicity of breast cancer cells in vivo in xenograft mice. Taken together, our results demonstrate that ST7L exerts antitumor function in breast cancer associated with the suppression of Wnt/β-catenin signalling, suggesting ST7L as a potential therapeutic target for breast cancer.