MicroRNA expression variability in human cervical tissues.
MicroRNAs (miRNAs) are short (approximately 22 nt) non-coding regulatory RNAs that control gene expression at the post-transcriptional level. Deregulation of miRNA expression has been discovered in a wide variety of tumours and it is now clear that they contribute to cancer development and progression. Cervical cancer is one of the most common cancers in women worldwide and there is a strong need for a non-invasive, fast and efficient method to diagnose the disease. We investigated miRNA expression profiles in cervical cancer using a microarray platform containing probes for mature miRNAs. We have evaluated miRNA expression profiles of a heterogeneous set of cervical tissues from 25 different patients. This set included 19 normal cervical tissues, 4 squamous cell carcinoma, 5 high-grade squamous intraepithelial lesion (HSIL) and 9 low-grade squamous intraepithelial lesion (LSIL) samples. We observed high variability in miRNA expression especially among normal cervical samples, which prevented us from obtaining a unique miRNA expression signature for this tumour type. However, deregulated miRNAs were identified in malignant and pre-malignant cervical tissues after tackling the high expression variability observed. We were also able to identify putative target genes of relevant candidate miRNAs. Our results show that miRNA expression shows natural variability among human samples, which complicates miRNA data profiling analysis. However, such expression noise can be filtered and does not prevent the identification of deregulated miRNAs that play a role in the malignant transformation of cervical squamous cells. Deregulated miRNAs highlight new candidate gene targets allowing for a better understanding of the molecular mechanism underlying the development of this tumour type.
Pereira
Patrícia M
PM
RNA Biology Laboratory, Department of Biology and CESAM, University of Aveiro, Aveiro, Portugal.
Marques
João Paulo
JP
Soares
Ana R
AR
Carreto
Laura
L
Santos
Manuel A S
MA
D002584:Cervix Uteri / Q000378:metabolism*; D016000:Cluster Analysis; D005260:Female; D006801:Humans; D035683:MicroRNAs / Q000235:genetics*; D002583:Uterine Cervical Neoplasms / Q000235:genetics*
D035683:MicroRNAs