Guidelines and considerations for conducting experiments using tissue microarrays

Tissue microarrays (TMAs) represent a powerful method for undertaking large‐scale tissue‐based biomarker studies. While TMAs offer several advantages, there are a number of issues specific to their use which need to be considered when employing this method. Given the investment in TMA‐based research...

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Veröffentlicht in:	Histopathology Jg. 62; H. 6; S. 827 - 839
Hauptverfasser:	Ilyas, Mohammad, Grabsch, Heike, Ellis, Ian O, Womack, Chris, Brown, Robert, Berney, Dan, Fennell, Dean, Salto-Tellez, Manuel, Jenkins, Martin, Landberg, Goran, Byers, Richard, Treanor, Darren, Harrison, David, Green, Andrew R, Ball, Graham, Hamilton, Peter
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Blackwell Publishing Ltd 01.05.2013 Wiley Subscription Services, Inc
Schlagworte:	Academies and Institutes Biomarkers Biomarkers - metabolism data interpretation Data Interpretation, Statistical experimental design Experiments guidance Humans Immunohistochemistry Medical research Quality Control Studies Tissue Array Analysis - methods Tissue Array Analysis - standards Tissue Array Analysis - statistics & numerical data tissue microarray United Kingdom
ISSN:	0309-0167, 1365-2559, 1365-2559
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Abstract	Tissue microarrays (TMAs) represent a powerful method for undertaking large‐scale tissue‐based biomarker studies. While TMAs offer several advantages, there are a number of issues specific to their use which need to be considered when employing this method. Given the investment in TMA‐based research, guidance on design and execution of experiments will be of benefit and should help researchers new to TMA‐based studies to avoid known pitfalls. Furthermore, a consensus on quality standards for TMA‐based experiments should improve the robustness and reproducibility of studies, thereby increasing the likelihood of identifying clinically useful biomarkers. In order to address these issues, the National Cancer Research Institute Biomarker and Imaging Clinical Studies Group organized a 1‐day TMA workshop held in Nottingham in May 2012. The document herein summarizes the conclusions from the workshop. It includes guidance and considerations on all aspects of TMA‐based research, including the pre‐analytical stages of experimental design, the analytical stages of data acquisition, and the postanalytical stages of data analysis. A checklist is presented which can be used both for planning a TMA experiment and interpreting the results of such an experiment. For studies of cancer biomarkers, this checklist could be used as a supplement to the REMARK guidelines.
AbstractList	Tissue microarrays (TMAs) represent a powerful method for undertaking large‐scale tissue‐based biomarker studies. While TMAs offer several advantages, there are a number of issues specific to their use which need to be considered when employing this method. Given the investment in TMA‐based research, guidance on design and execution of experiments will be of benefit and should help researchers new to TMA‐based studies to avoid known pitfalls. Furthermore, a consensus on quality standards for TMA‐based experiments should improve the robustness and reproducibility of studies, thereby increasing the likelihood of identifying clinically useful biomarkers. In order to address these issues, the National Cancer Research Institute Biomarker and Imaging Clinical Studies Group organized a 1‐day TMA workshop held in Nottingham in May 2012. The document herein summarizes the conclusions from the workshop. It includes guidance and considerations on all aspects of TMA‐based research, including the pre‐analytical stages of experimental design, the analytical stages of data acquisition, and the postanalytical stages of data analysis. A checklist is presented which can be used both for planning a TMA experiment and interpreting the results of such an experiment. For studies of cancer biomarkers, this checklist could be used as a supplement to the REMARK guidelines. Tissue microarrays (TMAs) represent a powerful method for undertaking large-scale tissue-based biomarker studies. While TMAs offer several advantages, there are a number of issues specific to their use which need to be considered when employing this method. Given the investment in TMA-based research, guidance on design and execution of experiments will be of benefit and should help researchers new to TMA-based studies to avoid known pitfalls. Furthermore, a consensus on quality standards for TMA-based experiments should improve the robustness and reproducibility of studies, thereby increasing the likelihood of identifying clinically useful biomarkers. In order to address these issues, the National Cancer Research Institute Biomarker and Imaging Clinical Studies Group organized a 1-day TMA workshop held in Nottingham in May 2012. The document herein summarizes the conclusions from the workshop. It includes guidance and considerations on all aspects of TMA-based research, including the pre-analytical stages of experimental design, the analytical stages of data acquisition, and the postanalytical stages of data analysis. A checklist is presented which can be used both for planning a TMA experiment and interpreting the results of such an experiment. For studies of cancer biomarkers, this checklist could be used as a supplement to the REMARK guidelines. [PUBLICATION ABSTRACT] Tissue microarrays ( TMA s) represent a powerful method for undertaking large‐scale tissue‐based biomarker studies. While TMA s offer several advantages, there are a number of issues specific to their use which need to be considered when employing this method. Given the investment in TMA ‐based research, guidance on design and execution of experiments will be of benefit and should help researchers new to TMA ‐based studies to avoid known pitfalls. Furthermore, a consensus on quality standards for TMA ‐based experiments should improve the robustness and reproducibility of studies, thereby increasing the likelihood of identifying clinically useful biomarkers. In order to address these issues, the N ational C ancer R esearch I nstitute B iomarker and I maging C linical S tudies G roup organized a 1‐day TMA workshop held in N ottingham in M ay 2012. The document herein summarizes the conclusions from the workshop. It includes guidance and considerations on all aspects of TMA ‐based research, including the pre‐analytical stages of experimental design, the analytical stages of data acquisition, and the postanalytical stages of data analysis. A checklist is presented which can be used both for planning a TMA experiment and interpreting the results of such an experiment. For studies of cancer biomarkers, this checklist could be used as a supplement to the REMARK guidelines. Tissue microarrays (TMAs) represent a powerful method for undertaking large-scale tissue-based biomarker studies. While TMAs offer several advantages, there are a number of issues specific to their use which need to be considered when employing this method. Given the investment in TMA-based research, guidance on design and execution of experiments will be of benefit and should help researchers new to TMA-based studies to avoid known pitfalls. Furthermore, a consensus on quality standards for TMA-based experiments should improve the robustness and reproducibility of studies, thereby increasing the likelihood of identifying clinically useful biomarkers. In order to address these issues, the National Cancer Research Institute Biomarker and Imaging Clinical Studies Group organized a 1-day TMA workshop held in Nottingham in May 2012. The document herein summarizes the conclusions from the workshop. It includes guidance and considerations on all aspects of TMA-based research, including the pre-analytical stages of experimental design, the analytical stages of data acquisition, and the postanalytical stages of data analysis. A checklist is presented which can be used both for planning a TMA experiment and interpreting the results of such an experiment. For studies of cancer biomarkers, this checklist could be used as a supplement to the REMARK guidelines.Tissue microarrays (TMAs) represent a powerful method for undertaking large-scale tissue-based biomarker studies. While TMAs offer several advantages, there are a number of issues specific to their use which need to be considered when employing this method. Given the investment in TMA-based research, guidance on design and execution of experiments will be of benefit and should help researchers new to TMA-based studies to avoid known pitfalls. Furthermore, a consensus on quality standards for TMA-based experiments should improve the robustness and reproducibility of studies, thereby increasing the likelihood of identifying clinically useful biomarkers. In order to address these issues, the National Cancer Research Institute Biomarker and Imaging Clinical Studies Group organized a 1-day TMA workshop held in Nottingham in May 2012. The document herein summarizes the conclusions from the workshop. It includes guidance and considerations on all aspects of TMA-based research, including the pre-analytical stages of experimental design, the analytical stages of data acquisition, and the postanalytical stages of data analysis. A checklist is presented which can be used both for planning a TMA experiment and interpreting the results of such an experiment. For studies of cancer biomarkers, this checklist could be used as a supplement to the REMARK guidelines.
Author	Ilyas, Mohammad Landberg, Goran Jenkins, Martin Brown, Robert Hamilton, Peter Womack, Chris Salto-Tellez, Manuel Ellis, Ian O Byers, Richard Ball, Graham Treanor, Darren Green, Andrew R Harrison, David Grabsch, Heike Fennell, Dean Berney, Dan
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Snippet	Tissue microarrays (TMAs) represent a powerful method for undertaking large‐scale tissue‐based biomarker studies. While TMAs offer several advantages, there... Tissue microarrays ( TMA s) represent a powerful method for undertaking large‐scale tissue‐based biomarker studies. While TMA s offer several advantages, there... Tissue microarrays (TMAs) represent a powerful method for undertaking large-scale tissue-based biomarker studies. While TMAs offer several advantages, there...
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SubjectTerms	Academies and Institutes Biomarkers Biomarkers - metabolism data interpretation Data Interpretation, Statistical experimental design Experiments guidance Humans Immunohistochemistry Medical research Quality Control Studies Tissue Array Analysis - methods Tissue Array Analysis - standards Tissue Array Analysis - statistics & numerical data tissue microarray United Kingdom
Title	Guidelines and considerations for conducting experiments using tissue microarrays
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