High expression level of miR-1260 family in the peripheral blood of patients with ovarian carcinoma

The Role of microRNA in the Prognosis and Diagnosis of Ovarian Cancer

Ovarian cancer (OC) is one of the most common cancers in women. Biomarkers for OC are still being sought. The aim of this review was to evaluate microRNAs in the prognosis and diagnosis of OC. We conducted a literature review searching for articles published from January 2014 to September 2024. We included articles presenting the association of microRNAs with ovarian cancer prognosis, where patient survival was shown by the Kaplan-Meier curve, and articles presenting the association of microRNAs with ovarian cancer diagnosis, where the results were presented as an ROC curve. MicroRNAs are promising clinical markers in ovarian cancer patients. As is shown here, expression (high or low) of various miRNAs was differentially associated with survival in OC patients, with some miRNAs being associated with a longer survival and some with a shorter survival. In the absence of diagnostic markers for OC, the raised role of miRNAs in diagnosis seems all the more important. The diagnostic value of miRNAs has been shown, mostly as blood biomarkers, although they have also been evaluated as tissue or urine markers. MiRNAs have an important role as clinical biomarkers for ovarian cancer, not only as single molecules, but also as biomarker pairs or panels of miRNAs. It should be noted that most of the miRNAs reviewed here have been studied once, so despite the promising results, it seems necessary to conduct studies to confirm or negate the results obtained.

miR-3653-3p Expression in PBMCs: Unveiling the Diagnostic Potential for Ovarian Cancer

Ovarian cancer is typically diagnosed at an advanced stage, recurs early and often, and currently lacks effective treatment. Therefore, overall survival and progression-free survival are relatively short for this disease. Sensitive and specific biomarkers for early diagnosis and follow-up for effective treatment of the disease are currently lacking. MicroRNA (miRNA/miR) expression studies are widely used in cancer research. Disruption or malfunction of miRNAs, a class of noncoding small RNAs, has been implicated in cancer progression in several publications. Of note, the expression of a series of miRNAs is known to differ in ovarian cancer. In cancer research, it is crucial to analyze expression patterns in both cancer patients and healthy individuals to identify cancer-specific biological markers and to understand their role in cancer. In the present study, the expression levels of miR-3653-3p in the peripheral blood mononuclear cells (PBMCs) of 150 patients with high-risk ovarian cancer were determined, including those with a family history of cancer or an early-age diagnosis of ovarian cancer, as well as 100 healthy individuals. The results were then compared between the two groups. The expression level of miR-3653-3p in the PBMCs of patients with ovarian cancer was determined to be 9.49-fold higher than that in the healthy control group, and this result was statistically significant (P < 0.001). In addition, receiver-operating characteristic curve analysis of PBMC showed statistical significance of miR-3653-3p in discriminating ovarian cancer patients from healthy subjects (P < 0.001). These results suggest that miR-3653-3p detected in peripheral blood may be used as a non-invasive biomarker for ovarian cancer.

The relationship between microRNAs and bladder cancer: are microRNAs useful to predict bladder cancer in suspicious patients?

PURPOSE

Recent studies indicate that circulating micro RNAs (miRNAs) are novel class of non-invasive biomarkers with diagnostic and prognostic information. We evaluated the miRNA expressions in bladder cancer (BC) and their associations with disease diagnosis.

METHODS

We profiled the expressions of 379 miRNAs in the plasma samples from patients with non-muscle invasive bladder cancer (NMIBC) (n = 34) and non-malignant urological diseases as a control group (n = 32). Patients were evaluated regarding with age, miRNA expressions, by using descriptive statistics. miRNA expression in extracted RNA was quantified using the NanoString nCounter Digital Analyzer.

RESULTS

The analysis of plasma miRNA levels in the marker identification cohort indicated that plasma (miR-1260a, let-7a-3p miR-196b-5p, miR-196a-5p, miR-99a-5p, miR-615-5p, miR-4301, miR-28-3p, miR-4538, miR-1233-3p, miR-4732-5p, miR-1913, miR-1280) levels were increased in NMIBC patients compared to control subjects. There were no significant differences other parameters studied between groups.

CONCLUSIONS

The analysis of serum plasma miRNA (miR-1260a, let-7a-3p miR-196b-5p, miR-196a-5p, miR-99a-5p, miR-615-5p, miR-4301, miR-28-3p, miR-4538, miR-1233-3p, miR-4732-5p, miR-1913, miR-1280) levels could be useful plasma biomarkers for BC.

MicroRNA expression associated with low-grade cervical intraepithelial neoplasia outcomes

PURPOSE

Only a fraction of low-grade cervical intraepithelial neoplasia (CIN) progresses to high-grade CIN; however, the biological processes that differentiate progressive CIN from CIN that resolves naturally are poorly understood. MicroRNAs (miRNAs) are important epigenetic regulators of gene expression and thus, miRNA expression profiling can reveal the dysregulated biology underlying disease processes. The purpose of this case-control study was to reveal miRNA expression patterns and predict the underlying biological pathways that are associated with clinical outcomes of low-grade CIN.

METHODS

Women with low-grade CIN diagnosis and definitive clinical outcomes (n = 51) were identified retrospectively using electronic clinical records. Comprehensive miRNA expression profiling was performed on the low-grade CIN diagnostic cervical biopsies retrieved from pathology archives. Differential miRNA expression was analyzed by comparing women with CIN that progressed to women with CIN that resolved naturally.

RESULTS

Differential expression of 29 miRNAs was observed in low-grade CIN that progressed to high-grade compared to low-grade CIN that resolved. Of these, 24 were significantly downregulated in progressive CIN, including miR-638, miR-3196, miR-4488, and miR-4508, while 5 miRNAs, including miR-1206a, were significantly upregulated. Computational gene ontology analysis based on the discovered miRNAs and their putative mRNA targets revealed biological processes associated with oncogenic phenotypes.

CONCLUSION

Distinct miRNA expression profiles are associated with clinical outcomes of low-grade CIN. The functional effects of the differentially expressed miRNAs may be biological determinants of CIN progression or resolution.

Plasma MicroRNAs Related to Metabolic Syndrome in Mexican Women

INTRODUCTION

The metabolic syndrome (MetS) is a cluster of abnormalities related to cardiovascular disease (CVD). Circulating miRNAs (c-miRNAs) are non-coding RNAs associated with different phenotypes, some of them integrating the MetS. The aim of the study was to compare the c-miRNAs profile in plasma between women with MetS and controls and explore their possible association with dysregulation of metabolic pathways.

METHODS

The study was conducted in two phases. At the screening phase, miRNA composition in fasting plasma was compared between 8 participants with MetS and 10 healthy controls, using microarray technology. The validation phase included the analysis by qRT-PCR of 10 selected c-miRNAs in an independent sample (n = 29).

RESULTS

We found 21 c-miRNAs differentially expressed between cases and controls. The concentration in plasma of the c-miRNAs hsa-miR-1260a, hsa-miR-4514, and hsa-miR-4687-5p were also correlated with risk factors for CVD. Differences of hsa-miR-1260a between cases and controls were validated using qRT-PCR (fold-change = 7.0; p = 0.003).

CONCLUSION

The signature of plasma c-miRNAs differed between women with MetS and controls. The identified miRNAs regulate pathways related to the MetS such as insulin resistance and adipokine activity. The role of c-miR-1260a in the MetS remains to be elucidated.

Comparison of Serum and Urine as Sources of miRNA Markers for the Detection of Ovarian Cancer

Ovarian cancer is the second most fatal gynecological cancer. Early detection, which could be achieved through widespread screening, has not yet had an impact on mortality. The aim of our pilot study was to investigate the expression of miRNAs analyzed by a human miRNA microarray chip in urine and serum of patients with ovarian cancer. We analyzed three serum and three urine samples from healthy donors and five serum and five urine samples from patients with ovarian cancer taken at first diagnosis, before any treatment. We selected the seven miRNAs with the highest expression fold change in the microarray chip (cancer vs. control) in urine and serum, for validation by qPCR. We were able to validate two of the seven miRNAs in serum. In contrast to these findings, we were able to validate all of the top seven miRNAs identified in urine using qPCR. The top seven miRNAs in urine identified by microarray chip showed significantly greater differences in expression between patients with ovarian cancer and healthy donors compared to serum. Based on our finding, we can suggest that urine as a biomaterial is more suitable than serum for miRNA profiling by microarray chip in the search for new biomarkers in ovarian cancer.

Landscape of Clinically Relevant Exosomal tRNA-Derived Non-coding RNAs

Exosomes are extra-cellular vesicles that are < 150 nm that is formed by invagination of the plasma membrane and are released as vesicles. These contain proteins, RNA, and DNA as their cargo. In recent times, the non-coding RNA (ncRNA) present within exosomes has been studied extensively in the context of sorting, localization, and their potential as biomarkers. For example, miR-1246, miR-1290, miR-21, and miR-23a are exosomal biomarkers of cancer, and YBX1 (Y-Box Binding Protein 1) is attributed to exosomal RNA sorting. Transfer RNA-derived fragments are a class of small ncRNAs that were discovered in 2009. They are classified as tRFs (tRNA-derived fragments) and tsRNAs (tRNA halves). Interestingly, these tRNA-derived ncRNAs are emerging as biomarkers in various diseases, and these are found in exosomes. To date, the literature has covered only the biomarker potential of plasma/serum tRNA-derived ncRNAs. Hence, in the current review, we discuss the exosomal tRNA-derived fragments that are clinically relevant in pathological conditions.