Literature DB >> 16258508

TMA-Combiner, a simple software tool to permit analysis of replicate cores on tissue microarrays.

Chih Long Liu1, Kelli D Montgomery, Yasodha Natkunam, Robert B West, Torsten O Nielsen, Maggie C U Cheang, Dmitry A Turbin, Robert J Marinelli, Matt van de Rijn, John P T Higgins.   

Abstract

We have previously published a suite of software tools that facilitates the reformulation of tissue microarray (TMA) data so that it may be analyzed using techniques originally devised for analysis of cDNA microarray data. However, current microarray data often feature multiple scores for a given tissue sample and antibody combination. Furthermore, an efficient and systematic method for combining scores that takes into account the differing staining properties of tissue epitopes has not been described. We thus present the TMA-Combiner, a new Microsoft Excel-based macro that permits analysis of data for which tissues may have two or more scores per antibody, and permits combination of data from multiple different tissue microarrays. It accomplishes this by rendering one score per tissue per antibody from two or more scores, using one of multiple user-selectable combination rules developed to account for the differing staining properties of tissue epitopes. This greatly facilitates analysis of tissue microarrays, particularly for users with large repositories of data, and may facilitate discovery of biological trends and help refine diagnostic accuracy of tissue markers in clinical samples.

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Year:  2005        PMID: 16258508     DOI: 10.1038/modpathol.3800491

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


  10 in total

Review 1.  Tissue microarrays in clinical oncology.

Authors:  David Voduc; Challayne Kenney; Torsten O Nielsen
Journal:  Semin Radiat Oncol       Date:  2008-04       Impact factor: 5.934

2.  Coordinate expression of colony-stimulating factor-1 and colony-stimulating factor-1-related proteins is associated with poor prognosis in gynecological and nongynecological leiomyosarcoma.

Authors:  Inigo Espinosa; Andrew H Beck; Cheng-Han Lee; Shirley Zhu; Kelli D Montgomery; Robert J Marinelli; Kristen N Ganjoo; Torsten O Nielsen; C Blake Gilks; Robert B West; Matt van de Rijn
Journal:  Am J Pathol       Date:  2009-05-14       Impact factor: 4.307

3.  Insulin-like growth factor 2 mRNA binding protein 3 (IGF2BP3) overexpression in pancreatic ductal adenocarcinoma correlates with poor survival.

Authors:  David F Schaeffer; Daniel R Owen; Howard J Lim; Andrew K Buczkowski; Stephen W Chung; Charles H Scudamore; David G Huntsman; Sylvia S W Ng; David A Owen
Journal:  BMC Cancer       Date:  2010-02-23       Impact factor: 4.430

Review 4.  Practical aspects of planning, building, and interpreting tissue microarrays: the Cooperative Prostate Cancer Tissue Resource experience.

Authors:  A Kajdacsy-Balla; 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
Journal:  J Mol Histol       Date:  2007-02-21       Impact factor: 3.156

5.  PATMA: parser of archival tissue microarray.

Authors:  Lukasz Roszkowiak; Carlos Lopez
Journal:  PeerJ       Date:  2016-12-01       Impact factor: 2.984

6.  Claudin-Low Breast Cancer; Clinical & Pathological Characteristics.

Authors:  Kay Dias; Anna Dvorkin-Gheva; Robin M Hallett; Ying Wu; John Hassell; Gregory R Pond; Mark Levine; Tim Whelan; Anita L Bane
Journal:  PLoS One       Date:  2017-01-03       Impact factor: 3.240

7.  Inter-observer reproducibility of HER2 immunohistochemical assessment and concordance with fluorescent in situ hybridization (FISH): pathologist assessment compared to quantitative image analysis.

Authors:  Gulisa Turashvili; Samuel Leung; Dmitry Turbin; Kelli Montgomery; Blake Gilks; Rob West; Melinda Carrier; David Huntsman; Samuel Aparicio
Journal:  BMC Cancer       Date:  2009-05-29       Impact factor: 4.430

8.  Clinical-pathologic significance of cancer stem cell marker expression in familial breast cancers.

Authors:  Anita Bane; Alicia Viloria-Petit; Dushanthi Pinnaduwage; Anna Marie Mulligan; Frances P O'Malley; Irene L Andrulis
Journal:  Breast Cancer Res Treat       Date:  2013-06-28       Impact factor: 4.872

9.  TAMEE: data management and analysis for tissue microarrays.

Authors:  Gerhard G Thallinger; Kerstin Baumgartner; Martin Pirklbauer; Martina Uray; Elke Pauritsch; Gabor Mehes; Charles R Buck; Kurt Zatloukal; Zlatko Trajanoski
Journal:  BMC Bioinformatics       Date:  2007-03-07       Impact factor: 3.169

10.  The Stanford Tissue Microarray Database.

Authors:  Robert J Marinelli; Kelli Montgomery; Chih Long Liu; Nigam H Shah; Wijan Prapong; Michael Nitzberg; Zachariah K Zachariah; Gavin J Sherlock; Yasodha Natkunam; Robert B West; Matt van de Rijn; Patrick O Brown; Catherine A Ball
Journal:  Nucleic Acids Res       Date:  2007-11-07       Impact factor: 16.971

  10 in total

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