MicroRNA Dynamics in Ovarian Cancer Biology

MicroRNAs are short non-coding RNA molecules that orchestrate gene expression by guiding RNA-induced silencing complexes to target messenger RNAs, thereby modulating processes fundamental to ovarian tumour biology. Dysregulation of specific microRNAs contributes to initiation, progression and dissemination of epithelial ovarian carcinoma by altering pathways that control proliferation, apoptosis, invasion and chemoresistance. Key oncogenic microRNAs, such as members of the miR-200 family and miR-21, promote epithelial-to-mesenchymal transition and metastatic spread, while tumour-suppressive species including let-7 paralogues are often downregulated in high-grade disease. Epigenetic mechanisms, notably promoter methylation, further regulate microRNA expression and may underlie chemotherapeutic failure. Circulating microRNAs packaged in extracellular vesicles or bound to protein complexes exhibit remarkable stability in bodily fluids, offering minimally invasive windows into tumour genotype and stage. Advances in high-throughput profiling and machine-learning integration have enabled the construction of multi-microRNA panels that discriminate early-stage disease from benign and other malignancies with high accuracy. As mechanistic targets and biomarkers, microRNAs hold promise for personalised diagnostic, prognostic and therapeutic strategies in ovarian cancer.

Research from Nature Portfolio

Recent studies have established a comprehensive serum microRNA signature capable of detecting ovarian tumours at an early stage with unprecedented sensitivity and specificity. By profiling thousands of serum samples, researchers defined diagnostic models based on the expression of ten circulating microRNAs. These models maintained accuracy even in stage I disease and discriminated ovarian carcinoma from benign ovarian conditions and non-ovarian solid tumours. Further refinements produced additional microRNA panels that distinguish among tumour subtypes, underscoring the robustness of serum microRNA profiles as non-invasive biomarkers for early detection and differential diagnosis.

MicroRNA Dynamics in Ovarian Cancer Biology publication trend

The graph below shows the total number of articles in microrna dynamics in ovarian cancer biology across all publications each year (not limited to Nature Index journals).

Technical terms

microRNA: Small non-coding RNA molecules (~22 nucleotides) that post-transcriptionally regulate gene expression by targeting specific messenger RNAs for degradation or translational repression.

Extracellular vesicles: Membrane-bound particles secreted by cells, including exosomes and microvesicles, which carry proteins, lipids and nucleic acids such as microRNAs.

Differential expression: Variation in the abundance of genes or microRNAs between different biological conditions or sample types.

Ratio analysis: Comparative approach pairing levels of upregulated and downregulated microRNAs to enhance discrimination between pathological states.

Ascites: Accumulation of fluid in the peritoneal cavity, often observed in advanced ovarian cancer, containing tumour-derived cells and extracellular vesicles.

References

1. Cellular signaling modulated by miRNA-3652 in ovarian cancer: unveiling mechanistic pathways for future therapeutic strategies. Cell Communication and Signaling (2023).
2. Integrated miRNA Profiling of Extracellular Vesicles from Uterine Aspirates, Malignant Ascites and Primary-Cultured Ascites Cells for Ovarian Cancer Screening. Pharmaceutics (2024).
3. Synergy of the microRNA Ratio as a Promising Diagnosis Biomarker for Mucinous Borderline and Malignant Ovarian Tumors. International Journal of Molecular Sciences (2023).
4. Integrated extracellular microRNA profiling for ovarian cancer screening. Nature Communications (2018).