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Updated: Jul 5, 2026

A Next-generation Tissue Microarray (ngTMA) Protocol for Biomarker Studies

A Next-generation Tissue Microarray (ngTMA) Protocol for Biomarker Studies

Published on: September 23, 2014

Multiple biomarker tissue microarrays: bioinformatics and practical approaches.

Søren M Bentzen¹, Francesca M Buffa, George D Wilson

¹Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, K4/316 Clinical Science Center, 600 Highland Avenue, Madison, WI 53792, USA. bentzen@humonc.wisc.edu

Cancer Metastasis Reviews

|April 26, 2008

Summary

Tissue microarrays (TMAs) enable high-throughput analysis of cancer biomarkers. This review covers TMA design for translational research and data analysis strategies for large biomarker datasets.

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Area of Science:

Biomedical research
Translational oncology

Background:

Tissue microarrays (TMAs) are crucial for high-throughput immunohistochemical analysis of biomarkers in tumor and normal tissues.
TMAs are widely used in translational research for identifying predictive and prognostic markers in various cancers.

Purpose of the Study:

To review tissue microarray technology and its practical considerations in translational research.
To discuss data analytical approaches for large biomarker datasets generated by TMAs.

Main Methods:

Review of tissue microarray technology and its applications.
Discussion of data analysis strategies for high-dimensional biomarker data.

Main Results:

TMAs facilitate the simultaneous assessment of multiple biomarkers.

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Manual Construction of a Tissue Microarray using the Tape Method and a Handheld Microarrayer

Manual Construction of a Tissue Microarray using the Tape Method and a Handheld Microarrayer

Published on: June 10, 2022

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Last Updated: Jul 5, 2026

A Next-generation Tissue Microarray (ngTMA) Protocol for Biomarker Studies

A Next-generation Tissue Microarray (ngTMA) Protocol for Biomarker Studies

Published on: September 23, 2014

Manual Construction of a Tissue Microarray using the Tape Method and a Handheld Microarrayer

Manual Construction of a Tissue Microarray using the Tape Method and a Handheld Microarrayer

Published on: June 10, 2022

Supervised and unsupervised learning strategies are applicable to TMA data.

Conclusions:

TMAs generate information-rich datasets for biomarker discovery.
Improving reporting quality in biomarker studies is an ongoing effort.
Future research pathways for TMA applications are presented.