Literature DB >> 21240253

Evaluation of the prognostic significance of MSMB and CRISP3 in prostate cancer using automated image analysis.

Anna Dahlman1, Elton Rexhepaj, Donal J Brennan, William M Gallagher, Alexander Gaber, Anna Lindgren, Karin Jirström, Anders Bjartell.   

Abstract

Despite prostate cancer being the most frequent cancer in men in the Western world, tissue biomarkers for predicting disease recurrence after surgery have not been incorporated into clinical practice. Our group has previously identified β-microseminoprotein (MSMB) and cysteine-rich secretory protein-3 (CRISP3) as independent predictors of biochemical recurrence after radical prostatectomy. The purpose of the present study was to use automated image analysis, enabling quantitative determination of MSMB and CRISP3 expressions in a large cohort and to validate the previous findings. MSMB and CRISP3 protein expressions were assessed on tissue microarrays constructed from 3268 radical prostatectomy specimens. Whole-slide digital images were captured, and a novel cytoplasmic algorithm was used to develop a quantitative scoring model for cytoplasmic staining. Classification regression tree analysis was used to group patients, with different risk for biochemical recurrence, depending on level of protein expression. Patients with tumors expressing high levels of MSMB had a significantly reduced risk for biochemical recurrence after radical prostatectomy (HR=0.468; 95% CI 0.394-0.556; P<0.001). Multivariate analysis adjusted for clinicopathological parameters revealed that MSMB expression was an independent predictor of decreased risk of recurrence (HR=0.710; 95% CI 0.578-0.872; P<0.001). We found no correlation between CRISP3 expression and biochemical recurrence. In this current study, we applied a novel image analysis on a large independent cohort and successfully verified that MSMB is a strong independent factor, predicting favorable outcome after radical prostatectomy for localized prostate cancer.

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Year:  2011        PMID: 21240253     DOI: 10.1038/modpathol.2010.238

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  14 in total

1.  Overexpression and purification of folded domain of prostate cancer related proteins MSMB and PSA.

Authors:  Mohini Tiwary; Nipanshu Agarwal; Amit Dinda; Subhash C Yadav
Journal:  Mol Biol Rep       Date:  2016-04-01       Impact factor: 2.316

2.  Can tissue-based immune markers be used for studying the natural history of cancer?

Authors:  Jill Koshiol; Shih-Wen Lin
Journal:  Ann Epidemiol       Date:  2012-04-04       Impact factor: 3.797

3.  Quantitative Time-Resolved Fluorescence Imaging of Androgen Receptor and Prostate-Specific Antigen in Prostate Tissue Sections.

Authors:  Agnieszka Krzyzanowska; Giuseppe Lippolis; Leszek Helczynski; Aseem Anand; Mari Peltola; Kim Pettersson; Hans Lilja; Anders Bjartell
Journal:  J Histochem Cytochem       Date:  2016-03-29       Impact factor: 2.479

4.  Identification of tumor epithelium and stroma in tissue microarrays using texture analysis.

Authors:  Nina Linder; Juho Konsti; Riku Turkki; Esa Rahtu; Mikael Lundin; Stig Nordling; Caj Haglund; Timo Ahonen; Matti Pietikäinen; Johan Lundin
Journal:  Diagn Pathol       Date:  2012-03-02       Impact factor: 2.644

5.  Characterization of a Gene Expression Signature in Normal Rat Prostate Tissue Induced by the Presence of a Tumor Elsewhere in the Organ.

Authors:  Hanibal Hani Adamo; Sofia Halin Bergström; Anders Bergh
Journal:  PLoS One       Date:  2015-06-15       Impact factor: 3.240

6.  Cysteine- rich secretory protein 3 (CRISP3), ERG and PTEN define a molecular subtype of prostate cancer with implication to patients' prognosis.

Authors:  Samir Al Bashir; Mohammed Alshalalfa; Samar A Hegazy; Michael Dolph; Bryan Donnelly; Tarek A Bismar
Journal:  J Hematol Oncol       Date:  2014-03-07       Impact factor: 17.388

7.  β2-syntrophin and Par-3 promote an apicobasal Rac activity gradient at cell-cell junctions by differentially regulating Tiam1 activity.

Authors:  Natalie A Mack; Andrew P Porter; Helen J Whalley; Juliane P Schwarz; Richard C Jones; Azharuddin Sajid Syed Khaja; Anders Bjartell; Kurt I Anderson; Angeliki Malliri
Journal:  Nat Cell Biol       Date:  2012-10-28       Impact factor: 28.824

8.  A high-density tissue microarray from patients with clinically localized prostate cancer reveals ERG and TATI exclusivity in tumor cells.

Authors:  G Lippolis; A Edsjö; U-H Stenman; A Bjartell
Journal:  Prostate Cancer Prostatic Dis       Date:  2013-03-05       Impact factor: 5.554

9.  Emphasizing the role of Wnt5a protein expression to predict favorable outcome after radical prostatectomy in patients with low-grade prostate cancer.

Authors:  Azharuddin Sajid Syed Khaja; Lars Egevad; Leszek Helczynski; Peter Wiklund; Tommy Andersson; Anders Bjartell
Journal:  Cancer Med       Date:  2012-06-04       Impact factor: 4.452

10.  A texture based pattern recognition approach to distinguish melanoma from non-melanoma cells in histopathological tissue microarray sections.

Authors:  Elton Rexhepaj; Margrét Agnarsdóttir; Julia Bergman; Per-Henrik Edqvist; Michael Bergqvist; Mathias Uhlén; William M Gallagher; Emma Lundberg; Fredrik Ponten
Journal:  PLoS One       Date:  2013-05-17       Impact factor: 3.240

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