Literature DB >> 17318343

Practical aspects of planning, building, and interpreting tissue microarrays: the Cooperative Prostate Cancer Tissue Resource experience.

A Kajdacsy-Balla1, J M Geynisman, V Macias, S Setty, N M Nanaji, J J Berman, K Dobbin, J Melamed, X Kong, M Bosland, J Orenstein, J Bayerl, M J Becich, R Dhir, M W Datta.   

Abstract

This is a review of several new approaches developed at or adopted by the Cooperative Prostate Cancer Tissue Resource (CPCTR) to resolve issues involved in tissue microarray (TMA) construction and use. CPCTR developed the first needle biopsy TMA, allowing researchers to obtain 200 or more consecutive cancer sections from a single biopsy core. Using radiographs of original paraffin blocks to measure tissue thickness we developed a method to produce TMAs with a larger number of usable sections. The modular approach to plan TMA construction is also a novel concept wherein TMAs of different types, such as tumor grade TMAs, metastasis TMA and hormone refractory tumors TMA can be combined to form an ensemble of TMAs with expanded research utility, such as support for tumor progression studies. We also implemented an open access TMA Data Exchange Specification that allows TMA data to be organized in a self-describing XML document annotated with well-defined common data elements. It ensures inter-laboratory reproducibility because it offers information describing the preparation of TMA blocks and slides. There are many important aspects that may be missed by both beginners and experienced investigators in areas of TMA experimental design, human subjects protection, population sample size, selection of tumor areas to sample, strategies for saving tissues, choice of antibodies for immunohistochemistry, and TMA data management.

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Year:  2007        PMID: 17318343     DOI: 10.1007/s10735-006-9054-5

Source DB:  PubMed          Journal:  J Mol Histol        ISSN: 1567-2379            Impact factor:   3.156


  22 in total

1.  Simple, inexpensive method for automating tissue microarray production provides enhanced microarray reproducibility.

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Journal:  Appl Immunohistochem Mol Morphol       Date:  2003-09

2.  Long-term preservation of antigenicity on tissue microarrays.

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3.  Perils of immunohistochemistry: variability in staining specificity of commercially available COX-2 antibodies on human colon tissue.

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Journal:  Dig Dis Sci       Date:  2003-01       Impact factor: 3.199

4.  A simple inexpensive method for the production of tissue microarrays from needle biopsy specimens: examples with prostate cancer.

Authors:  Milton W Datta; Andrea Kahler; Virgilia Macias; Tracy Brodzeller; Andre Kajdacsy-Balla
Journal:  Appl Immunohistochem Mol Morphol       Date:  2005-03

5.  p53, Ki-67, and serum alpha feto-protein as predictors of hepatocellular carcinoma recurrence in liver transplant patients.

Authors:  Grace Guzman; Victoria Alagiozian-Angelova; Jennifer E Layden-Almer; Thomas J Layden; Guiliano Testa; Enrico Benedetti; André Kajdacsy-Balla; Scott J Cotler
Journal:  Mod Pathol       Date:  2005-11       Impact factor: 7.842

6.  Agarose mold embedding of cultured cells for tissue microarrays.

Authors:  Christopher A Moskaluk; Mark H Stoler
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7.  The tissue microarray data exchange specification: a community-based, open source tool for sharing tissue microarray data.

Authors:  Jules J Berman; Mary E Edgerton; Bruce A Friedman
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Authors:  Pamela A Davol; Robert Bagdasaryan; Gerald J Elfenbein; Abby L Maizel; A Raymond Frackelton
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9.  Differences in gene expression in prostate cancer, normal appearing prostate tissue adjacent to cancer and prostate tissue from cancer free organ donors.

Authors:  Uma R Chandran; Rajiv Dhir; Changqing Ma; George Michalopoulos; Michael Becich; John Gilbertson
Journal:  BMC Cancer       Date:  2005-05-13       Impact factor: 4.430

10.  The tissue microarray data exchange specification: implementation by the Cooperative Prostate Cancer Tissue Resource.

Authors:  Jules J Berman; Milton Datta; Andre Kajdacsy-Balla; Jonathan Melamed; Jan Orenstein; Kevin Dobbin; Ashok Patel; Rajiv Dhir; Michael J Becich
Journal:  BMC Bioinformatics       Date:  2004-02-27       Impact factor: 3.169

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  21 in total

1.  A 'waterfall' transfer-based workflow for improved quality of tissue microarray construction and processing in breast cancer research.

Authors:  M Oberländer; H Alkemade; S Bünger; F Ernst; C Thorns; T Braunschweig; J K Habermann
Journal:  Pathol Oncol Res       Date:  2014-03-07       Impact factor: 3.201

2.  Wnt/beta-catenin pathway activation is enriched in basal-like breast cancers and predicts poor outcome.

Authors:  Andrey I Khramtsov; Galina F Khramtsova; Maria Tretiakova; Dezheng Huo; Olufunmilayo I Olopade; Kathleen H Goss
Journal:  Am J Pathol       Date:  2010-04-15       Impact factor: 4.307

Review 3.  Ethnicity and ERG frequency in prostate cancer.

Authors:  Jason Sedarsky; Michael Degon; Shiv Srivastava; Albert Dobi
Journal:  Nat Rev Urol       Date:  2017-09-05       Impact factor: 14.432

4.  Immunohistochemical staining of slit2 in primary and metastatic prostatic adenocarcinoma.

Authors:  Tanner L Bartholow; Michael J Becich; Uma R Chandran; Anil V Parwani
Journal:  Transl Oncol       Date:  2011-10-01       Impact factor: 4.243

5.  Subcellular localization of p27 and prostate cancer recurrence: automated digital microscopy analysis of tissue microarrays.

Authors:  Viju Ananthanarayanan; Ryan J Deaton; Anup Amatya; Virgilia Macias; Ed Luther; Andre Kajdacsy-Balla; Peter H Gann
Journal:  Hum Pathol       Date:  2011-02-02       Impact factor: 3.466

6.  Increased local expression of coagulation factor X contributes to the fibrotic response in human and murine lung injury.

Authors:  Chris J Scotton; Malvina A Krupiczojc; Melanie Königshoff; Paul F Mercer; Y C Gary Lee; Naftali Kaminski; John Morser; Joseph M Post; Toby M Maher; Andrew G Nicholson; James D Moffatt; Geoffrey J Laurent; Claudia K Derian; Oliver Eickelberg; Rachel C Chambers
Journal:  J Clin Invest       Date:  2009-08-03       Impact factor: 14.808

7.  A simplified approach for the molecular classification of glioblastomas.

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8.  Immunohistochemical staining of radixin and moesin in prostatic adenocarcinoma.

Authors:  Tanner L Bartholow; Anil V Parwani; Uma R Chandran; Michael J Becich
Journal:  BMC Clin Pathol       Date:  2011-01-14

9.  The tissue microarray OWL schema: An open-source tool for sharing tissue microarray data.

Authors:  Hyunseok P Kang; Charles D Borromeo; Jules J Berman; Michael J Becich
Journal:  J Pathol Inform       Date:  2010-07-13

10.  Immunohistochemical profiles of claudin-3 in primary and metastatic prostatic adenocarcinoma.

Authors:  Tanner L Bartholow; Uma R Chandran; Michael J Becich; Anil V Parwani
Journal:  Diagn Pathol       Date:  2011-01-21       Impact factor: 2.644

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