Small extracellular vesicle-encapsulated miR-181b-5p, miR-222-3p and let-7a-5p: Next generation plasma biopsy-based diagnostic biomarkers for inflammatory breast cancer.
Sarah Hamdy AhmedNancy A Espinoza-SánchezAhmed El-DamenSarah Atef FahimMohamed A BadawyBurkhard GreveMohamed El-ShinawiMartin GötteSherif Abdelaziz IbrahimPublished in: PloS one (2021)
Inflammatory breast cancer (IBC) is a rare, but aggressive entity of breast carcinoma with rapid dermal lymphatic invasion in young females. It is either poorly or misdiagnosed as mastitis because of the absence of a distinct lump. Small extracellular vesicles (sEVs) circulating in liquid biopsies are a novel class of minimally invasive diagnostic alternative to invasive tissue biopsies. They modulate cancer progression via shuttling their encapsulated cargo including microRNAs (miRNAs) into recipient cells to either trigger signaling or induce malignant transformation of targeted cells. Plasma sEVs < 200 nm were isolated using a modified cost-effective polyethylene glycol (PEG)-based precipitation method and compared to standard methods, namely ultracentrifugation and a commercial kit, where the successful isolation was verified by different approaches. We evaluated the expression levels of selected sEV-derived miR-181b-5p, miR-222-3p and let-7a-5p using quantitative real PCR (qPCR). Relative to non-IBC, our qPCR data showed that sEV-derived miR-181b-5p and miR-222-3p were significantly upregulated, whereas let-7a-5p was downregulated in IBC patients. Interestingly, receiver operating characteristic (ROC) curves analysis revealed that diagnostic accuracy of let-7a-5p alone was the highest for IBC with an area under curve (AUC) value of 0.9188, and when combined with miR-222-3p the AUC was improved to 0.973. Further, 38 hub genes were identified using bioinformatics analysis. Together, circulating sEV-derived miR-181b-5p, miR-222-3p and let-7a-5p serve as promising non-invasive diagnostic biomarkers for IBC.
Keyphrases
- bioinformatics analysis
- induced apoptosis
- minimally invasive
- end stage renal disease
- cell cycle arrest
- oxidative stress
- ultrasound guided
- chronic kidney disease
- ejection fraction
- newly diagnosed
- peritoneal dialysis
- endoplasmic reticulum stress
- lymph node
- photodynamic therapy
- machine learning
- cancer therapy
- high resolution
- cell proliferation
- cell migration
- mass spectrometry
- single cell
- artificial intelligence
- loop mediated isothermal amplification
- data analysis
- patient reported