MicroRNA signature and integrative omics analyses define prognostic clusters and key pathways driving prognosis in patients with neuroendocrine neoplasms.
Beatriz SoldevillaAlberto Lens-PardoPaula Espinosa-OlarteCarlos Carretero-PucheSonia Molina-PineloCarlos RoblesMarta BenaventLourdes Gomez-IzquierdoMarta Fierro-FernándezPatricia Morales-BurgoPaula Jimenez-FonsecaBeatriz Anton-PascualYolanda Rodriguez-GilAna Teijo-QuintansAnna La SalviaBeatriz Rubio-CuestaMaria C Riesco-MartínezRocio Garcia-CarboneroPublished in: Molecular oncology (2023)
Neuroendocrine neoplasms (NENs) are mutationally quiet (low number of mutations/Mb), and epigenetic mechanisms drive their development and progression. We aim to comprehensively characterize the microRNA (miRNA) profile of NENs, and explore downstream targets and their epigenetic modulation. In total, 84 cancer-related miRNAs were analyzed in 85 NEN samples from lung and gastroenteropancreatic (GEP) origin, and their prognostic value was evaluated by univariate and multivariate models. Transcriptomics (N=63) and methylomics (N=30) were performed to predict miRNA target genes, signaling pathways and regulatory CpG sites. Findings were validated in The Cancer Genome Atlas (TCGA) cohorts and in NEN cell lines. We identified a signature of eight miRNAs that stratified patients in three prognostic groups (5-year survival of 80%, 66% and 36%). Expression of the eight-miRNA gene signature correlated with 71 target genes involved in PI3K-Akt and TNFα-NF-kB signaling. Of these, 28 were associated with survival and validated in silico and in vitro. Finally, we identified five CpG sites involved in the epigenetic regulation of these eight miRNAs. In brief, we identified an 8-miRNA signature able to predict survival of patients with GEP and lung NENs, and identified genes and regulatory mechanisms driving prognosis in NEN patients.
Keyphrases
- pi k akt
- signaling pathway
- dna methylation
- end stage renal disease
- genome wide
- ejection fraction
- chronic kidney disease
- single cell
- newly diagnosed
- prognostic factors
- gene expression
- rheumatoid arthritis
- poor prognosis
- transcription factor
- peritoneal dialysis
- squamous cell carcinoma
- epithelial mesenchymal transition
- immune response
- papillary thyroid
- molecular docking
- inflammatory response
- cell cycle arrest
- copy number
- endoplasmic reticulum stress
- genome wide analysis
- data analysis
- lps induced
- molecular dynamics simulations