Comprehensive Profiling of Hypoxia-Related miRNAs Identifies miR-23a-3p Overexpression as a Marker of Platinum Resistance and Poor Prognosis in High-Grade Serous Ovarian Cancer.
Paola TodeschiniElisa SalviatoChiara RomaniVittoria RaimondiFrancesco CiccareseFederico FerrariGermana TognonSergio MarchiniMaurizio D'IncalciLaura ZanottiAntonella RavaggiFranco OdicinoEnrico SartoriDonna M D'AgostinoMichele SamajaChiara RomualdiEliana BignottiPublished in: Cancers (2021)
The onset of chemo-resistant recurrence represents the principal cause of high-grade serous ovarian carcinoma (HGSOC) death. HGSOC masses are characterized by a hypoxic microenvironment, which contributes to the development of this chemo-resistant phenotype. Hypoxia regulated-miRNAs (HRMs) represent a molecular response of cancer cells to hypoxia and are involved in tumor progression. We investigated the expression of HRMs using miRNA expression data from a total of 273 advanced-stage HGSOC samples. The miRNAs associated with chemoresistance and survival were validated by RT-qPCR and target prediction, and comparative pathway analysis was conducted for target gene identification. Analysis of miRNA expression profiles indicated miR-23a-3p and miR-181c-5p over-expression as associated with chemoresistance and poor PFS. RT-qPCR data confirmed upregulation of miR-23a-3p in tumors from chemoresistant HGSOC patients and its significant association with shorter PFS. In silico miR-23a-3p target prediction and comparative pathway analysis identified platinum drug resistance as the pathway with the highest number of miR-23a-3p target genes. Among them, APAF-1 emerged as the most promising, being downregulated in platinum-resistant patients and in HGSOC chemo-resistant cells. These results highlight miR-23a-3p as a potential biomarker for HGSOC platinum response and prognosis and the miR23a-3p/APAF1 axis as a possible target to overcome platinum-resistance.
Keyphrases
- poor prognosis
- high grade
- long non coding rna
- end stage renal disease
- chronic kidney disease
- ejection fraction
- low grade
- photodynamic therapy
- cell proliferation
- endothelial cells
- genome wide
- prognostic factors
- peritoneal dialysis
- transcription factor
- drug delivery
- machine learning
- signaling pathway
- copy number
- stem cells
- big data
- cancer therapy
- computed tomography
- oxidative stress
- deep learning
- cell death
- locally advanced
- long noncoding rna
- endoplasmic reticulum stress
- squamous cell carcinoma
- binding protein
- atomic force microscopy
- high resolution mass spectrometry
- simultaneous determination
- gas chromatography