Literature DB >> 17723364

Advances in cancer tissue microarray technology: Towards improved understanding and diagnostics.

Wenjin Chen1, David J Foran.   

Abstract

Over the past few years, tissue microarray (TMA) technology has been established as a standard method for assessing the expression of proteins or genes across large sets of tissue specimens. It is being adopted increasingly among leading research institutions around the world and utilized in cancer research in parallel with the cDNA microarray technology. This article summarizes various aspects of cancer understanding and diagnostics in which TMA has had great impact. Although tremendous advances continue to be made to facilitate imaging and archiving of TMA specimens, automatic evaluation and quantitative analysis of TMA still remains an important challenge for modern investigators.

Entities:  

Year:  2006        PMID: 17723364      PMCID: PMC2583100          DOI: 10.1016/j.aca.2005.11.083

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  113 in total

Review 1.  Applications of microarrays to histopathology.

Authors:  M van de Rijn; C B Gilks
Journal:  Histopathology       Date:  2004-02       Impact factor: 5.087

2.  A simple method for the construction of small format tissue arrays.

Authors:  A Hidalgo; P Piña; G Guerrero; M Lazos; M Salcedo
Journal:  J Clin Pathol       Date:  2003-02       Impact factor: 3.411

3.  Automated evaluation and normalization of immunohistochemistry on tissue microarrays with a DNA microarray scanner.

Authors:  Wolfgang Haedicke; Helmut H Popper; Charles R Buck; Kurt Zatloukal
Journal:  Biotechniques       Date:  2003-07       Impact factor: 1.993

4.  High-throughput tissue microarray analysis to evaluate genes uncovered by cDNA microarray screening in renal cell carcinoma.

Authors:  H Moch; P Schraml; L Bubendorf; M Mirlacher; J Kononen; T Gasser; M J Mihatsch; O P Kallioniemi; G Sauter
Journal:  Am J Pathol       Date:  1999-04       Impact factor: 4.307

5.  Loss of p16 protein defines high-risk patients with gastrointestinal stromal tumors: a tissue microarray study.

Authors:  Regine Schneider-Stock; Carsten Boltze; Jerzy Lasota; Brigitte Peters; Chris L Corless; Petra Ruemmele; Luigi Terracciano; Matthias Pross; Luigi Insabato; Dolores Di Vizio; Igor Iesalnieks; Stefan Dirnhofer; Arndt Hartmann; Michel Heinrich; Markku Miettinen; Albert Roessner; Luigi Tornillo
Journal:  Clin Cancer Res       Date:  2005-01-15       Impact factor: 12.531

6.  Activated in prostate cancer: a PDZ domain-containing protein highly expressed in human primary prostate tumors.

Authors:  H Chaib; M A Rubin; N R Mucci; L Li; M L Day; J S Rhim; J A Macoska
Journal:  Cancer Res       Date:  2001-03-15       Impact factor: 12.701

7.  The prolyl isomerase Pin1 is a novel prognostic marker in human prostate cancer.

Authors:  Gustavo Ayala; Dagong Wang; Gerburg Wulf; Anna Frolov; Rile Li; Janusz Sowadski; Thomas M Wheeler; Kun Ping Lu; Lere Bao
Journal:  Cancer Res       Date:  2003-10-01       Impact factor: 12.701

8.  Epithelial-cadherin and beta-catenin expression changes in pancreatic intraepithelial neoplasia.

Authors:  Maamoun M Al-Aynati; Nikolina Radulovich; Robert H Riddell; Ming-Sound Tsao
Journal:  Clin Cancer Res       Date:  2004-02-15       Impact factor: 12.531

9.  Tissue microarray-based analysis shows phospho-beta-catenin expression in malignant melanoma is associated with poor outcome.

Authors:  Eric Kielhorn; Elayne Provost; Drew Olsen; Thomas G D'Aquila; Bradley L Smith; Robert L Camp; David L Rimm
Journal:  Int J Cancer       Date:  2003-02-20       Impact factor: 7.396

10.  Phenotypic composition of salivary gland tumors: an application of principal [corrected] component analysis to tissue microarray data.

Authors:  Hideto Iwafuchi; Naoyoshi Mori; Takashi Takahashi; Yasushi Yatabe
Journal:  Mod Pathol       Date:  2004-07       Impact factor: 7.842

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  8 in total

1.  Mechanical phenotyping of breast cancer using MEMS: a method to demarcate benign and cancerous breast tissues.

Authors:  Hardik J Pandya; Wenjin Chen; Lauri A Goodell; David J Foran; Jaydev P Desai
Journal:  Lab Chip       Date:  2014-09-30       Impact factor: 6.799

2.  A benchmark for comparing precision medicine methods in thyroid cancer diagnosis using tissue microarrays.

Authors:  Ching-Wei Wang; Yu-Ching Lee; Evelyne Calista; Fan Zhou; Hongtu Zhu; Ryohei Suzuki; Daisuke Komura; Shumpei Ishikawa; Shih-Ping Cheng
Journal:  Bioinformatics       Date:  2018-05-15       Impact factor: 6.937

3.  ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology.

Authors:  David J Foran; Lin Yang; Wenjin Chen; Jun Hu; Lauri A Goodell; Michael Reiss; Fusheng Wang; Tahsin Kurc; Tony Pan; Ashish Sharma; Joel H Saltz
Journal:  J Am Med Inform Assoc       Date:  2011-05-23       Impact factor: 4.497

Review 4.  Recent developments in multiplexing techniques for immunohistochemistry.

Authors:  Angela R Dixon; Cédric Bathany; Michael Tsuei; Joshua White; Kate F Barald; Shuichi Takayama
Journal:  Expert Rev Mol Diagn       Date:  2015-08-06       Impact factor: 5.225

5.  Re-Punching Tissue Microarrays Is Possible: Why Can This Be Useful and How to Do It.

Authors:  Aurélien Lacombe; Vincenza Carafa; Sandra Schneider; Melanie Sticker-Jantscheff; Luigi Tornillo; Serenella Eppenberger-Castori
Journal:  Microarrays (Basel)       Date:  2015-05-11

Review 6.  Identification of New Players in Hepatocarcinogenesis: Limits and Opportunities of Using Tissue Microarray (TMA).

Authors:  Luca Quagliata; Manuel Schlageter; Cristina Quintavalle; Luigi Tornillo; Luigi M Terracciano
Journal:  Microarrays (Basel)       Date:  2014-04-15

7.  Membrane expression of TRAIL receptors DR4, DR5, DcR1 and DcR2 in the normal endometrium, atypical endometrial hyperplasia and endometrioid adenocarcinoma: a tissue microarray study.

Authors:  Leszek Gottwald; Janusz Piekarski; Robert Kubiak; Jarosław Szwalski; Grażyna Pasz-Walczak; Piotr Sęk; Michał Spych; Jacek Suzin; Wiesław Tyliński; Arkadiusz Jeziorski
Journal:  Arch Gynecol Obstet       Date:  2013-04-13       Impact factor: 2.344

8.  Clinicopathological implications of the expression of hypoxia-related proteins in gastric cancer.

Authors:  Ji-Han Jung; Soyoung Im; Eun Sun Jung; Chang Suk Kang
Journal:  Int J Med Sci       Date:  2013-07-31       Impact factor: 3.738

  8 in total

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