Literature DB >> 25096394

Prognostic value of ki-67 in breast carcinoma: tissue microarray method versus whole section analysis- potentials and pitfalls.

Natalija Dedić Plavetić1, Jasminka Jakić-Razumović, Ana Kulić, Maja Sirotković-Skerlev, Marina Barić, Damir Vrbanec.   

Abstract

In our study we have compared the prognostic value of two distinct methods of immunohistochemical Ki-67 determination, tissue microarray (TMA) and classical whole section analysis. "Cut-off" values were used according to the 2009 St. Gallen Consensus. Tissue specimens were obtained from a consecutive retrospective series of 215 female patients with primary invasive tumours. Two hundred and thirteen patients were included in the study. Data on Ki-67 was collected by both tissue microarray (TMA) and whole section analysis. Follow up data on overall (OS) and disease-free survival (DFS) were collected. Median follow-up was 95 months (range from 7.8 through 107 months). Mutual correlation of two Ki-67 determination methods was non-significant (Person's r = 0.13417; p = 0.0528). There was statistically significant association of whole section Ki-67 expression with histological and nuclear grade, progesterone receptor and HER2/neu status. The expression of Ki-67 protein in TMAs correlated only with histological and nuclear grade, but not with other traditional clinicopathological factors. Statistically significant differences in DFS (p = 0.0156) and OS (p = 0.0028) were confirmed between subgroups with low and high whole section Ki-67 expression. When subgroups with high and intermediate expression were compared, significant difference was found in DFS (p = 0.0272), but not in OS (p = 0.0624). On the other hand, there was no statistically significant difference either in DFS, or in OS, according to the expression of Ki-67 in TMAs (p = 0.6529; p = 0.7883; p = 0.7966 for DFS, and p = 0.8917; p = 0.6448; p = 0.4323 for OS, respectively). In our study, classical whole section was superior to TMA analysis in terms of prognosis and clinicopathological correlation. Our results indicate that the method used may have impact on prognostic significance of Ki-67. Further studies are needed, covering a greater number of patients and including a precisely defined stage and treatment patient cohorts, in order to solve controversies in Ki-67 assessment methodology.

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Year:  2014        PMID: 25096394     DOI: 10.1007/s12253-014-9823-5

Source DB:  PubMed          Journal:  Pathol Oncol Res        ISSN: 1219-4956            Impact factor:   3.201


  44 in total

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Authors:  G Contesso; H Mouriesse; S Friedman; J Genin; D Sarrazin; J Rouesse
Journal:  J Clin Oncol       Date:  1987-09       Impact factor: 44.544

2.  Production of a mouse monoclonal antibody reactive with a human nuclear antigen associated with cell proliferation.

Authors:  J Gerdes; U Schwab; H Lemke; H Stein
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3.  Tissue microarrays for comparing molecular features with proliferation activity in breast cancer.

Authors:  Christian Ruiz; Silvia Seibt; Khawla Al Kuraya; Abdul K Siraj; Martina Mirlacher; Peter Schraml; Robert Maurer; Hanspeter Spichtin; Joachim Torhorst; Savelina Popovska; Ronald Simon; Guido Sauter
Journal:  Int J Cancer       Date:  2006-05-01       Impact factor: 7.396

4.  Comparative prognostic value of Ki-67 and MIB-1 proliferation indices in breast cancer.

Authors:  S M Veronese; C Maisano; J Scibilia
Journal:  Anticancer Res       Date:  1995 Nov-Dec       Impact factor: 2.480

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Authors:  S Fasanella; E Leonardi; C Cantaloni; C Eccher; I Bazzanella; D Aldovini; E Bragantini; L Morelli; L V Cuorvo; A Ferro; F Gasperetti; G Berlanda; P Dalla Palma; M Barbareschi
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Journal:  Breast Cancer Res       Date:  2005-04-21       Impact factor: 6.466

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Journal:  Clin Transl Oncol       Date:  2016-11-16       Impact factor: 3.405

2.  The search for optimal cutoff points for apoptosis and proliferation rate in prognostification of early stage breast cancer patients treated with anthracyclines in adjuvant settings.

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  2 in total

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