Literature DB >> 14987401

Tissue microarray (TMA) applications: implications for molecular medicine.

Ronald Simon1, Guido Sauter.   

Abstract

Modern expression-screening platforms such as complementary DNA (cDNA) arrays allow for high-throughput lead discovery in cancer and other diseases. For evaluation of promising candidate genes, however, in situ analysis of high numbers of clinical tissues samples--for example, by immunohistochemistry or fluorescence in situ hybridisation--is mandatory. Tissue microarray (TMA) technology greatly facilitates such analysis. Minute tissue cores (diameter 0.6 mm) are removed from up to a thousand different conventional paraffin blocks and re-assembled in a single empty paraffin block at predefined positions. Sections of the resulting TMA can be utilised for the range of research applicable to conventional tissue sections. Important advantages of the TMA technology are speed (parallel analysis of up to a thousand tissues), cost efficiency (the same amount of reagents required for a single large-section analysis is sufficient for a thousand samples), and standardisation (the same experimental conditions are applied to all samples). Because of the high numbers of samples usually included in TMAs, they are optimally suited to detect genotype-phenotype associations with high statistical power. Thus, TMA technology will markedly accelerate the transition from basic research to clinical applications.

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Year:  2003        PMID: 14987401     DOI: 10.1017/S1462399403006781

Source DB:  PubMed          Journal:  Expert Rev Mol Med        ISSN: 1462-3994            Impact factor:   5.600


  9 in total

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Authors:  Robert F Gonzalez; Lennell Allen; Linda Gonzales; Philip L Ballard; Leland G Dobbs
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2.  Simultaneous evaluation of maspin and CXCR4 in patients with breast cancer.

Authors:  Efthimia Tsoli; Petros K Tsantoulis; Alexandros Papalambros; Branko Perunovic; David England; David A Rawlands; Gary M Reynolds; Dimitrios Vlachodimitropoulos; Susan L Morgan; Chara A Spiliopoulou; Thanos Athanasiou; Vassilis G Gorgoulis
Journal:  J Clin Pathol       Date:  2006-06-02       Impact factor: 3.411

3.  Correlations of (18)F-fluorothymidine uptake with pathological tumour size, Ki-67 and thymidine kinase 1 expressions in primary and metastatic lymph node colorectal cancer foci.

Authors:  Masatoyo Nakajo; Masayuki Nakajo; Yoriko Kajiya; Yuko Goto; Megumi Jinguji; Sadao Tanaka; Yoshihiko Fukukura; Atsushi Tani; Michiyo Higashi
Journal:  Eur Radiol       Date:  2014-08-13       Impact factor: 5.315

Review 4.  Human Proteinpedia as a resource for clinical proteomics.

Authors:  Suresh Mathivanan; Akhilesh Pandey
Journal:  Mol Cell Proteomics       Date:  2008-06-23       Impact factor: 5.911

5.  Distinct roles for cysteine cathepsin genes in multistage tumorigenesis.

Authors:  Vasilena Gocheva; Wei Zeng; Danxia Ke; David Klimstra; Thomas Reinheckel; Christoph Peters; Douglas Hanahan; Johanna A Joyce
Journal:  Genes Dev       Date:  2006-02-15       Impact factor: 11.361

6.  Automatic tumor-stroma separation in fluorescence TMAs enables the quantitative high-throughput analysis of multiple cancer biomarkers.

Authors:  Bernd Lahrmann; Niels Halama; Hans-Peter Sinn; Peter Schirmacher; Dirk Jaeger; Niels Grabe
Journal:  PLoS One       Date:  2011-12-02       Impact factor: 3.240

7.  Computer-assisted image analysis of the tumor microenvironment on an oral tongue squamous cell carcinoma tissue microarray.

Authors:  Sangjune Laurence Lee; Michael Cabanero; Martin Hyrcza; Marcus Butler; Fei-Fei Liu; Aaron Hansen; Shao Hui Huang; Ming-Sound Tsao; Yuyao Song; Lin Lu; Wei Xu; Douglas B Chepeha; David P Goldstein; Ilan Weinreb; Scott V Bratman
Journal:  Clin Transl Radiat Oncol       Date:  2019-05-18

8.  Epithelial splicing regulatory protein 1 and 2 (ESRP1 and ESRP2) upregulation predicts poor prognosis in prostate cancer.

Authors:  Morton Freytag; Martina Kluth; Elena Bady; Claudia Hube-Magg; Georgia Makrypidi-Fraune; Hans Heinzer; Doris Höflmayer; Sören Weidemann; Ria Uhlig; Hartwig Huland; Markus Graefen; Christian Bernreuther; Corinna Wittmer; Maria Christina Tsourlakis; Sarah Minner; David Dum; Andrea Hinsch; Andreas M Luebke; Ronald Simon; Guido Sauter; Thorsten Schlomm; Katharina Möller
Journal:  BMC Cancer       Date:  2020-12-18       Impact factor: 4.430

9.  OCT4 induces EMT and promotes ovarian cancer progression by regulating the PI3K/AKT/mTOR pathway.

Authors:  Weiwei Xie; Jun Yu; Yujia Yin; Xiaoqian Zhang; Xiaocui Zheng; Xipeng Wang
Journal:  Front Oncol       Date:  2022-08-10       Impact factor: 5.738

  9 in total

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