| IJCEP Copyright © 2007-All rights reserved. |
Int J Clin Exp Pathol 2011;4(5):505-512
Original Article
Quantitative analysis of p53 expression in human normal and cancer tissue microarray
with global normalization method
Halliday A Idikio
Department of Pathology and Laboratory Medicine, University of Alberta, Edmonton, Alberta, Canada
Received February 21, 2011; accepted June 12, 2011; Epub June 15, 2011; published June 20, 2011
Abstract: Tissue microarray based immunohistochemical staining and proteomics are important tools to create and validate clinically relevant
cancer biomarkers. Immunohistochemical stains using formalin-fixed tissue microarray sections for protein expression are scored manually
and semi-quantitatively. Digital image analysis methods remove some of the drawbacks of manual scoring but may need other methods such
as normalization to provide across the board utility. In the present study, quantitative proteomics-based global normalization method was used
to evaluate its utility in the analysis of p53 protein expression in mixed human normal and cancer tissue microarray. Global normalization used
the mean or median of β-actin to calculate ratios of individual core stain intensities, then log transformed the ratios, calculate a mean or
median and subtracted the value from the log of ratios. In the absence of global normalization of p53 protein expression, 44% (42 of 95) of
tissue cores were positive using the median of intensity values and 40% (38 of 95) using the mean of intensities as cut-off points. With global
normalization, p53 positive cores changed to 20% (19 of 95) when using median of intensities and 15.8%(15 of 95) when the mean of
intensities were used. In conclusion, the global normalization method helped to define positive p53 staining in the tissue microarray set used.
The method used helped to define clear cut-off points and confirmed all negatively stained tissue cores. Such normalization methods should
help to better define clinically useful biomarkers. (IJCEP1102005).
Keywords: Global normalization-immunohistochemistry-cancer biomarkers-p53protein Short-title: global normalization method,
immunohistochemistry, p53 protein expression
Full text PDF
Address all correspondence to:
Halliday Idikio, MD
University of Alberta
Department of Pathology and Laboratory Medicine
5B4.11 Walter MacKenzie Health Sciences Center
8440-112 th Street
Edmonton, ALBERTA T6G 2B7
CANADA
Tel: 1-780-407-7271, Fax 1-780-407-3009
E-mail: hidikio@ualberta.ca
Original Article
Quantitative analysis of p53 expression in human normal and cancer tissue microarray
with global normalization method
Halliday A Idikio
Department of Pathology and Laboratory Medicine, University of Alberta, Edmonton, Alberta, Canada
Received February 21, 2011; accepted June 12, 2011; Epub June 15, 2011; published June 20, 2011
Abstract: Tissue microarray based immunohistochemical staining and proteomics are important tools to create and validate clinically relevant
cancer biomarkers. Immunohistochemical stains using formalin-fixed tissue microarray sections for protein expression are scored manually
and semi-quantitatively. Digital image analysis methods remove some of the drawbacks of manual scoring but may need other methods such
as normalization to provide across the board utility. In the present study, quantitative proteomics-based global normalization method was used
to evaluate its utility in the analysis of p53 protein expression in mixed human normal and cancer tissue microarray. Global normalization used
the mean or median of β-actin to calculate ratios of individual core stain intensities, then log transformed the ratios, calculate a mean or
median and subtracted the value from the log of ratios. In the absence of global normalization of p53 protein expression, 44% (42 of 95) of
tissue cores were positive using the median of intensity values and 40% (38 of 95) using the mean of intensities as cut-off points. With global
normalization, p53 positive cores changed to 20% (19 of 95) when using median of intensities and 15.8%(15 of 95) when the mean of
intensities were used. In conclusion, the global normalization method helped to define positive p53 staining in the tissue microarray set used.
The method used helped to define clear cut-off points and confirmed all negatively stained tissue cores. Such normalization methods should
help to better define clinically useful biomarkers. (IJCEP1102005).
Keywords: Global normalization-immunohistochemistry-cancer biomarkers-p53protein Short-title: global normalization method,
immunohistochemistry, p53 protein expression
Full text PDF
Address all correspondence to:
Halliday Idikio, MD
University of Alberta
Department of Pathology and Laboratory Medicine
5B4.11 Walter MacKenzie Health Sciences Center
8440-112 th Street
Edmonton, ALBERTA T6G 2B7
CANADA
Tel: 1-780-407-7271, Fax 1-780-407-3009
E-mail: hidikio@ualberta.ca
 | |  | |  | |  | |  | |  |
