Literature DB >> 24603589

Visual and automated assessment of matrix metalloproteinase-14 tissue expression for the evaluation of ovarian cancer prognosis.

Dominique Trudel1, Patrice Desmeules2, Stéphane Turcotte3, Marie Plante4, Jean Grégoire5, Marie-Claude Renaud5, Michèle Orain2, Isabelle Bairati3, Bernard Têtu6.   

Abstract

The purpose of this study was to evaluate whether the membrane type 1 matrix metalloproteinase-14 (or MT1-MMP) tissue expression, as assessed visually on digital slides and by digital image analysis, could predict outcomes in women with ovarian carcinoma. Tissue microarrays from a cohort of 211 ovarian carcinoma women who underwent a debulking surgery between 1993 and 2006 at the CHU de Québec (Canada) were immunostained for matrix metalloproteinase-14. The percentage of MMP-14 staining was assessed visually and with the Calopix software. Progression was evaluated using the CA-125 and/or the RECIST criteria according to the GCIG criteria. Dates of death were obtained by record linkage with the Québec mortality files. Adjusted hazard ratios of death and progression with their 95% confidence intervals were estimated using the Cox model. Comparisons between the two modalities of MMP-14 assessment were done using the box plots and the Kruskal-Wallis test. The highest levels of MMP-14 immunostaining were associated with nonserous histology, early FIGO stage, and low preoperative CA-125 levels (P<0.05). In bivariate analyses, the higher level of MMP-14 expression (>40% of MMP-14-positive cells) was inversely associated with progression using visual assessment (hazard ratio=0.39; 95% confidence interval: 0.18-0.82). A similar association was observed with the highest quartile of MMP-14-positive area assessed by digital image analysis (hazard ratio=0.48; 95% confidence interval: 0.28-0.82). After adjustment for standard prognostic factors, these associations were no longer significant in the ovarian carcinoma cohort. However, in women with serous carcinoma, the highest quartile of MMP-14-positive area was associated with progression (adjusted hazard ratio=0.48; 95% confidence interval: 0.24-0.99). There was no association with overall survival. The digital image analysis of MMP-14-positive area matched the visual assessment using three categories (>40% vs 21-40 vs <20%). Higher levels of MMP-14 immunostaining were associated with standard factors of better ovarian carcinoma prognosis. In women with serous carcinoma, high expression of MMP-14 was associated with lower progression.

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Year:  2014        PMID: 24603589     DOI: 10.1038/modpathol.2014.32

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


  10 in total

1.  Immunohistochemical demonstration of EphA2 processing by MT1-MMP in invasive cutaneous squamous cell carcinoma.

Authors:  Ryoko Tatsukawa; Kaori Koga; Mikiko Aoki; Naohiko Koshikawa; Shinichi Imafuku; Juichiro Nakayama; Kazuki Nabeshima
Journal:  Virchows Arch       Date:  2016-04-07       Impact factor: 4.064

2.  Decreased MT1-MMP in gastric cancer suppressed cell migration and invasion via regulating MMPs and EMT.

Authors:  Wenfeng Li; Shouzhi Li; Liang Deng; Shibin Yang; Mingzhe Li; Shuo Long; Sile Chen; Fuxiang Lin; Longbin Xiao
Journal:  Tumour Biol       Date:  2015-04-08

3.  Comparison of digital image analysis and visual scoring of KI-67 in prostate cancer prognosis after prostatectomy.

Authors:  Patrice Desmeules; Hélène Hovington; Molière Nguilé-Makao; Caroline Léger; André Caron; Louis Lacombe; Yves Fradet; Bernard Têtu; Vincent Fradet
Journal:  Diagn Pathol       Date:  2015-06-13       Impact factor: 2.644

Review 4.  Relationship between matrix metalloproteinases and the occurrence and development of ovarian cancer.

Authors:  Y Zhang; Q Chen
Journal:  Braz J Med Biol Res       Date:  2017-05-18       Impact factor: 2.590

5.  HtrA1 expression and the prognosis of high-grade serous ovarian carcinoma: a cohort study using digital analysis.

Authors:  Andréanne Gagné; Bernard Têtu; Michèle Orain; Stéphane Turcotte; Marie Plante; Jean Grégoire; Marie-Claude Renaud; Isabelle Bairati; Dominique Trudel
Journal:  Diagn Pathol       Date:  2018-08-21       Impact factor: 2.644

Review 6.  The Proteolytic Landscape of Ovarian Cancer: Applications in Nanomedicine.

Authors:  Cailin O'Connell; Sabrina VandenHeuvel; Aparna Kamat; Shreya Raghavan; Biana Godin
Journal:  Int J Mol Sci       Date:  2022-09-01       Impact factor: 6.208

7.  Diagnostic, Prognostic, and Predictive Molecular Biomarkers and the Utility of Molecular Imaging in Common Gastrointestinal Tumors.

Authors:  Michael O Idowu; Jennifer Laudadio; Kathryn Rizzo
Journal:  Biomed Res Int       Date:  2015-11-04       Impact factor: 3.411

8.  Limited independent prognostic value of MMP-14 and MMP-2 expression in ovarian cancer.

Authors:  M Caroline Vos; Anneke A M van der Wurff; Johan Bulten; Roy Kruitwagen; Harrie Feijen; Toin H van Kuppevelt; Thijs Hendriks; Leon F A G Massuger
Journal:  Diagn Pathol       Date:  2016-04-02       Impact factor: 2.644

9.  MT1-MMP is not a good prognosticator of cancer survival: evidence from 11 studies.

Authors:  Kun-Peng Wu; Qiang Li; Fu-Xiang Lin; Jun Li; Lu-Min Wu; Wei Li; Qiao-Zhu Yang
Journal:  Tumour Biol       Date:  2014-09-07

10.  The role of MMP-14 in ovarian cancer: a systematic review.

Authors:  M Caroline Vos; Anneke A M van der Wurff; Toin H van Kuppevelt; Leon F A G Massuger
Journal:  J Ovarian Res       Date:  2021-08-03       Impact factor: 4.234

  10 in total

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