Separase is a marker for prognosis and mitotic activity in breast cancer View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-10-24

AUTHORS

Natalia Gurvits, Eliisa Löyttyniemi, Marjukka Nykänen, Teijo Kuopio, Pauliina Kronqvist, Kati Talvinen

ABSTRACT

BACKGROUND: Cancer cell proliferation is a critical feature in classifying and predicting the outcome of breast carcinoma. Separase has a central role in cell cycle progression in unleashing sister-chromatids at anaphase onset. Abnormally functioning separase is known to lead to chromosomal instability. METHODS: The study comprises 349 breast carcinoma patients treated in Central Hospital of Central Finland. The prognostic value, role as a proliferation marker and regulatory interactions of separase are evaluated by immunohistochemical and double- and triple-immunofluorescence (IF) detections based on complete clinical data and >22-year follow-up of the patient material. RESULTS: In our material, abnormal separase expression predicted doubled risk of breast cancer death (P<0.001). Up to 11.3-year survival difference was observed when comparing patients with and without separase expressing cancer cell mitoses. Particularly, abnormal separase expression predicted impaired survival for luminal breast carcinoma (P<0.001, respectively). In multivariate analyses, abnormal separase expression showed independent prognostic value. The complex inhibitory interactions involving securin and cyclin B1 were investigated in double- and triple-IFs and revealed patient subgroups with aberrant regulation and expression patterns of separase. CONCLUSIONS: In our experience, separase is a promising and clinically applicable proliferation marker. Separase expression shows strong and independent prognostic value and could be developed into a biomarker for treatment decisions in breast carcinoma, particularly defining prognostic subgroups among luminal carcinomas. More... »

PAGES

1383

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/bjc.2017.301

DOI

http://dx.doi.org/10.1038/bjc.2017.301

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091394298

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28859055


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Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/bjc.2017.301'


 

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