Literature DB >> 16331604

Tissue microarrays for comparing molecular features with proliferation activity in breast cancer.

Christian Ruiz1, Silvia Seibt, Khawla Al Kuraya, Abdul K Siraj, Martina Mirlacher, Peter Schraml, Robert Maurer, Hanspeter Spichtin, Joachim Torhorst, Savelina Popovska, Ronald Simon, Guido Sauter.   

Abstract

Tissue microarrays (TMAs) are potentially suited to find associations between molecular features and clinical outcome. Enhanced cell proliferation, as measured by Ki67 immunohistochemistry, is related to poor patient prognosis in many different tumor types. Ki67 expression shows considerable intratumoral heterogeneity. It is unclear if the TMA format is suitable for the analysis of potentially heterogeneous markers because of the small size of TMA spots. We have analyzed a breast cancer TMA containing 2,517 breast tissues, including 2,222 neoplastic and 295 normal or premalignant samples, for Ki67 labeling index (Ki67 LI) and additional markers with a known relationship to Ki67 LI by immunohistochemistry (ER, PR, Bcl-2, Egfr, p16, p53) and Fluorescence in situ hybridization (HER2, MDM2, CCND1, MYC). A high Ki67 LI was linked to tumor phenotype including grade (p < 0.0001), stage (p < 0.0001), nodal stage (p = 0.0018), and patient prognosis (p < 0.0001), elevated protein levels of p53, p16 and Egfr, reduced levels of Bcl2, ER, and PR (p < 0.0001 each), as well as amplifications of HER2, MYC, CCND1 and MDM2 (p < 0.0001 each). In summary, all expected associations between Ki67 and the analyzed molecular markers could be reproduced with high statistical significance using a TMA containing only one tissue sample per tumor, measuring 0.6 mm in diameter. We conclude that associations with cell proliferation can be reliably analyzed in a TMA format. 2005 Wiley-Liss, Inc.

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Year:  2006        PMID: 16331604     DOI: 10.1002/ijc.21581

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  34 in total

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Journal:  Virchows Arch       Date:  2010-04-01       Impact factor: 4.064

3.  The branched-chain amino acid transaminase 1 sustains growth of antiestrogen-resistant and ERα-negative breast cancer.

Authors:  V Thewes; R Simon; M Hlevnjak; M Schlotter; P Schroeter; K Schmidt; Y Wu; T Anzeneder; W Wang; P Windisch; M Kirchgäßner; N Melling; N Kneisel; R Büttner; U Deuschle; H P Sinn; A Schneeweiss; S Heck; S Kaulfuss; H Hess-Stumpp; J G Okun; G Sauter; A E Lykkesfeldt; M Zapatka; B Radlwimmer; P Lichter; M Tönjes
Journal:  Oncogene       Date:  2017-03-20       Impact factor: 9.867

4.  Prognostic value of proliferation markers expression in breast cancer.

Authors:  Natalija Dedić Plavetić; Jasminka Jakić-Razumović; Ana Kulić; Damir Vrbanec
Journal:  Med Oncol       Date:  2013-03-07       Impact factor: 3.064

5.  The role of Ki-67 in Asian triple negative breast cancers: a novel combinatory panel approach.

Authors:  An Sen Tan; Joe Poe Sheng Yeong; Chi Peng Timothy Lai; Chong Hui Clara Ong; Bernett Lee; Jeffrey Chun Tatt Lim; Aye Aye Thike; Jabed Iqbal; Rebecca Alexandra Dent; Elaine Hsuen Lim; Puay Hoon Tan
Journal:  Virchows Arch       Date:  2019-08-12       Impact factor: 4.064

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Journal:  Cancer Biol Ther       Date:  2015-05-11       Impact factor: 4.742

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Journal:  World J Urol       Date:  2014-12-21       Impact factor: 4.226

8.  CCND1 amplification and cyclin D1 immunohistochemical expression in head and neck squamous cell carcinomas.

Authors:  Henning Hanken; Alexander Gröbe; Georg Cachovan; Ralf Smeets; Ronald Simon; Guido Sauter; Max Heiland; Marco Blessmann
Journal:  Clin Oral Investig       Date:  2013-03-15       Impact factor: 3.573

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

Authors:  Natalija Dedić Plavetić; Jasminka Jakić-Razumović; Ana Kulić; Maja Sirotković-Skerlev; Marina Barić; Damir Vrbanec
Journal:  Pathol Oncol Res       Date:  2014-08-06       Impact factor: 3.201

10.  Transcriptional activation of DNA-dependent protein kinase catalytic subunit gene expression by oestrogen receptor-alpha.

Authors:  Senad Medunjanin; Sönke Weinert; David Poitz; Alexander Schmeisser; Ruth H Strasser; Ruediger C Braun-Dullaeus
Journal:  EMBO Rep       Date:  2010-01-29       Impact factor: 8.807

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