Literature DB >> 31194582

Optimization of Tissue Microarrays from Banked Human Formalin-Fixed Paraffin Embedded Tissues in the Cancer Research Setting.

Tammy Sexton1, Gregory L Kucera2, Edward A Levine3, Kounosuke Watabe4, Stacey S O'Neill5.   

Abstract

The tissue microarray (TMA) is a powerful tool for cancer biomarker discovery and validation. Tens to hundreds of samples can be evaluated simultaneously for molecular marker status at the protein or nucleic acid level. Although fully automated or semiautomated technologies for TMA creation provide excellent precision with respect to core transfer, they do not obviate the need for technical expertise to successfully generate high-quality TMA blocks and derivative sections. We have leveraged our expanding bank of formalin-fixed paraffin embedded paired tumor and normal tissues in our academic cancer center to provide a rich source of input material for cancer research TMAs. In this study, we report a stepwise optimization of TMA generation parameters, including paraffin wax selection, tempering protocol, and sectioning conditions, to achieve the best ribbon sectioning.

Entities:  

Keywords:  FFPE; TMA; optimization; tissue microarrays

Mesh:

Substances:

Year:  2019        PMID: 31194582      PMCID: PMC6791473          DOI: 10.1089/bio.2019.0011

Source DB:  PubMed          Journal:  Biopreserv Biobank        ISSN: 1947-5543            Impact factor:   2.300


  16 in total

1.  An agarose matrix facilitates sectioning of tissue microarray blocks.

Authors:  Pu Yan; Walter Seelentag; Astrid Bachmann; Fred T Bosman
Journal:  J Histochem Cytochem       Date:  2006-08-09       Impact factor: 2.479

Review 2.  The Human Protein Atlas as a proteomic resource for biomarker discovery.

Authors:  F Pontén; J M Schwenk; A Asplund; P-H D Edqvist
Journal:  J Intern Med       Date:  2011-08-03       Impact factor: 8.989

Review 3.  A decade of tissue microarrays: progress in the discovery and validation of cancer biomarkers.

Authors:  Robert L Camp; Veronique Neumeister; David L Rimm
Journal:  J Clin Oncol       Date:  2008-10-20       Impact factor: 44.544

4.  Tissue microarrays for high-throughput molecular profiling of tumor specimens.

Authors:  J Kononen; L Bubendorf; A Kallioniemi; M Bärlund; P Schraml; S Leighton; J Torhorst; M J Mihatsch; G Sauter; O P Kallioniemi
Journal:  Nat Med       Date:  1998-07       Impact factor: 53.440

Review 5.  Overview on Techniques to Construct Tissue Arrays with Special Emphasis on Tissue Microarrays.

Authors:  Ulrich Vogel
Journal:  Microarrays (Basel)       Date:  2014-04-17

6.  Construction of high-density tissue microarrays at low cost by using self-made manual microarray kits and recipient paraffin blocks.

Authors:  Chang Hwan Choi; Kyu Ho Kim; Ju Young Song; Suk Jin Choi; Lucia Kim; In Suh Park; Jee Young Han; Joon Mee Kim; Young Chae Chu
Journal:  Korean J Pathol       Date:  2012-12-26

7.  Aurora kinase A (AURKA) expression in colorectal cancer liver metastasis is associated with poor prognosis.

Authors:  J A C M Goos; V M H Coupe; B Diosdado; P M Delis-Van Diemen; C Karga; J A M Beliën; B Carvalho; M P van den Tol; H M W Verheul; A A Geldof; G A Meijer; O S Hoekstra; R J A Fijneman
Journal:  Br J Cancer       Date:  2013-10-08       Impact factor: 7.640

8.  Loss of somatostatin receptor subtype 2 in prostate cancer is linked to an aggressive cancer phenotype, high tumor cell proliferation and predicts early metastatic and biochemical relapse.

Authors:  Jan K Hennigs; Julia Müller; Matti Adam; Joshua M Spin; Emilia Riedel; Markus Graefen; Carsten Bokemeyer; Guido Sauter; Hartwig Huland; Thorsten Schlomm; Sarah Minner
Journal:  PLoS One       Date:  2014-07-10       Impact factor: 3.240

9.  Immune Landscape of Colorectal Cancer Tumor Microenvironment from Different Primary Tumor Location.

Authors:  Longhui Zhang; Yuetao Zhao; Ying Dai; Jia-Nan Cheng; Zhihua Gong; Yi Feng; Chengdu Sun; Qingzhu Jia; Bo Zhu
Journal:  Front Immunol       Date:  2018-07-10       Impact factor: 7.561

10.  The Terry Fox Research Institute Canadian Prostate Cancer Biomarker Network: an analysis of a pan-Canadian multi-center cohort for biomarker validation.

Authors:  Véronique Ouellet; Armen Aprikian; Alain Bergeron; Fadi Brimo; Robert G Bristow; Simone Chevalier; Darrel Drachenberg; Ladan Fazli; Neil E Fleshner; Martin Gleave; Pierre Karakiewicz; Laurence Klotz; Louis Lacombe; Jean-Baptiste Lattouf; Theodorus van der Kwast; Jeremy A Squire; Mathieu Latour; Dominique Trudel; Anne-Marie Mes-Masson; Fred Saad
Journal:  BMC Urol       Date:  2018-09-10       Impact factor: 2.264

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