The novel microRNAs hsa-miR-nov7 and hsa-miR-nov3 are over-expressed in locally advanced breast cancer

• Published in: PloS one Vol. 15; no. 4; p. e0225357
• Main Authors: Poduval, Deepak, Sichmanova, Zuzana, Straume, Anne Hege, Lønning, Per Eystein, Knappskog, Stian
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 16.04.2020; Public Library of Science (PLoS)
• Subjects: Algorithms; Annotations; Biology and life sciences; Biomarkers; Breast cancer; Cell interactions; Cloning; Deregulation; ErbB-2 protein; Gene expression; Gene regulation; Gene sequencing; Genes; Homeostasis; Levels; Medicine and Health Sciences; Metastasis; MicroRNAs; miRNA; Non-coding RNA; Oncology; Physical Sciences; Plasmids; Post-transcription; Research and Analysis Methods; Signal transduction; Statistical methods; Survival; Tissues; Tumors; Norway
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0225357

miRNAs are an important class of small non-coding RNAs, which play a versatile role in gene regulation at the post-transcriptional level. Expression of miRNAs is often deregulated in human cancers. We analyzed small RNA massive parallel sequencing data from 50 locally advanced breast cancers aiming to identify novel breast cancer related miRNAs. We successfully predicted 10 novel miRNAs, out of which 2 (hsa-miR-nov3 and hsa-miR-nov7) were recurrent. Applying high sensitivity qPCR, we detected these two microRNAs in 206 and 214 out of 223 patients in the study from which the initial cohort of 50 samples were drawn. We found hsa-miR-nov3 and hsa-miR-nov7 both to be overexpressed in tumor versus normal breast tissue in a separate set of 13 patients (p = 0.009 and p = 0.016, respectively) from whom both tumor tissue and normal tissue were available. We observed hsa-miR-nov3 to be expressed at higher levels in ER-positive compared to ER-negative tumors (p = 0.037). Further stratifications revealed particularly low levels in the her2-like and basal-like cancers compared to other subtypes (p = 0.009 and 0.040, respectively). We predicted target genes for the 2 microRNAs and identified inversely correlated genes in mRNA expression array data available from 203 out of the 223 patients. Applying the KEGG and GO annotations to target genes revealed pathways essential to cell development, communication and homeostasis. Although a weak association between high expression levels of hsa-miR-nov7 and poor survival was observed, this did not reach statistical significance. hsa-miR-nov3 expression levels had no impact on patient survival.