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


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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

References to SciGraph publications

  • 2012-01. Practical implications of gene-expression-based assays for breast oncologists in NATURE REVIEWS CLINICAL ONCOLOGY
  • 2004-08. Separase-mediated cleavage of cohesin at interphase is required for DNA repair in NATURE
  • 2011-08. Cleavage of cohesin rings coordinates the separation of centrioles and chromatids in NATURE CELL BIOLOGY
  • 2014-06. Cdc20 and securin overexpression predict short-term breast cancer survival in BRITISH JOURNAL OF CANCER
  • 2014-04. Meta-analysis of the global gene expression profile of triple-negative breast cancer identifies genes for the prognostication and treatment of aggressive breast cancer in ONCOGENESIS
  • 2012-12. APC/C-Cdh1-dependent anaphase and telophase progression during mitotic slippage in CELL DIVISION
  • 2014-08. ESPL1 is a candidate oncogene of luminal B breast cancers in BREAST CANCER RESEARCH AND TREATMENT
  • 2014-11. MMTV-Espl1 transgenic mice develop aneuploid, estrogen receptor alpha (ERα)-positive mammary adenocarcinomas in ONCOGENE
  • 2010-12. Identifying common prognostic factors in genomic cancer studies: A novel index for censored outcomes in BMC BIOINFORMATICS
  • 2014-08. Overexpression and constitutive nuclear localization of cohesin protease Separase protein correlates with high incidence of relapse and reduced overall survival in glioblastoma multiforme in JOURNAL OF NEURO-ONCOLOGY
  • 2016-08. Prognostic implications of securin expression and sub-cellular localization in human breast cancer in CELLULAR ONCOLOGY
  • 2010-08. Breast cancer prognostic classification in the molecular era: the role of histological grade in BREAST CANCER RESEARCH
  • 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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    JSON-LD is a popular format for linked data which is fully compatible with JSON.

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

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/bjc.2017.301'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/bjc.2017.301'

    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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    283 https://www.grid.ac/institutes/grid.410552.7 schema:alternateName Turku University Hospital
    284 schema:name Institute of Biomedicine, Department of Pathology and Forensic Medicine, University of Turku and Turku University Hospital, Turku 20510, Finland
    285 rdf:type schema:Organization
    286 https://www.grid.ac/institutes/grid.460356.2 schema:alternateName Central Finland Health Care District
    287 schema:name Biological and Environmental Science, University of Jyväskylä and Department of Pathology, Central Finland Health Care District, Keskussairaalantie 19, Jyväskylä 40620, Finland
    288 Department of Pathology, Central Hospital of Central Finland, Keskussairaalantie 19, Jyväskylä 40620, Finland
    289 rdf:type schema:Organization
     




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