Tissue microarray sampling strategy for prostate cancer biomarker analysis.
Author(s): Rubin MA, Dunn R, Strawderman M, Pienta KJ
Publication: Am J Surg Pathol, 2002, Vol. 26, Page 312-9
PubMed ID: 11859202 PubMed Review Paper? No
Purpose of Paper
Conclusion of Paper
Studies
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Study Purpose
The purpose of this study was to determine the optimal number of cores on a TMA to accurately represent ki-67 IHC staining and predict prostate cancer outcome. The authors record expression level based on the 90th percentile of the 10 measurements taken per sample. The ki-67 expression study included only one specimen that was divided into 10 sections from each of which 5 cores were obtained. The outcome study included 6-10 cores taken from each of 88 cases.
Summary of Findings:
Sampling of 3 cores was necessary to overcome the variability in ki-67 expression, but additional cores did not increase reliability of the measurement. Prediction of outcome was highly significant when 3 or more cores were stained, and while low variability in outcome predictions was observed when at least 4 cores were stained, the addition of more cores did not decrease variability.
Biospecimens
Preservative Types
- Formalin
Diagnoses:
- Neoplastic - Carcinoma
Platform:
Analyte Technology Platform Protein Immunohistochemistry Protein Tissue microarray Pre-analytical Factors:
Classification Pre-analytical Factor Value(s) Biospecimen Aliquots and Components Type of slide Tissue microarray
Whole tissue section
Immunohistochemistry Specific Targeted peptide/protein Ki-67
Biospecimen Aliquots and Components Aliquot size/volume 1 core
2 cores
3 cores
4 cores
5 cores
6-10 cores