Proliferation-associated miRNAs-494, -205, -21 and -126 detected by in situ hybridization: expression and prognostic potential in breast carcinoma patients View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-04

AUTHORS

Natalia Gurvits, Tuomo-Artturi Autere, Heli Repo, Marjukka Nykänen, Teijo Kuopio, Pauliina Kronqvist, Kati Talvinen

ABSTRACT

PURPOSE: To visualize by in situ hybridization (ISH) the levels of a set of proliferation-associated miRNAs and to evaluate their impact and clinical applicability in prognostication of invasive breast carcinoma. METHODS: Tissue specimen from breast carcinoma patients were investigated for miRNAs-494, -205, -21 and -126. Prognostic associations for levels of miRNAs were analyzed based on complete clinical data and up to 22.5-year follow-up of the patient material (n = 285). For detection of the miRNAs, an automated sensitive protocol applying in situ hybridization was developed. RESULTS: MiRNA-494 indicated prognostic value for patients with invasive breast carcinoma. Among node-negative disease reduced level of miRNA-494 predicted 8.5-fold risk of breast cancer death (p = 0.04). Altered levels and expression patterns of the studied miRNAs were observed in breast carcinomas as compared to benign breast tissue. CONCLUSIONS: The present paper reports for the first time on the prognostic value of miRNA-494 in invasive breast cancer. Particularly, detection of miRNA-494 could benefit patients with node-negative breast cancer in identifying subgroups with aggressive disease. Based on our experience, the developed automatic ISH method to visualize altered levels of miRNAs-494, -205, -21 and -126 could be applied to routine pathology diagnostics providing that conditions of tissue treatment, especially fixation delays, are managed. More... »

PAGES

1-10

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00432-018-2586-8

DOI

http://dx.doi.org/10.1007/s00432-018-2586-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1100556430

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29362919


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