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Parametric mapping of immunohistochemically stained tissue sections; a method to quantify the colocalization of tumor markers
BACKGROUND: Automated analysis of immunohistochemically stained tissue sections is of great importance in cancer research to detect tumor-specific prognostic markers and make therapy decisions. Here, an automated quantitative analysis is presented to assess the colocalization of CAIX, a membrane-bou...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Springer Netherlands
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3063563/ https://www.ncbi.nlm.nih.gov/pubmed/21302028 http://dx.doi.org/10.1007/s13402-010-0008-2 |
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author | Rademakers, Saskia E. Rijken, Paul F. Peeters, Wenny J. Nijkamp, Monique M. Barber, Paul R. van der Laak, Jeroen van de Kogel, Albert J. Bussink, Johan Kaanders, Johannes H. |
author_facet | Rademakers, Saskia E. Rijken, Paul F. Peeters, Wenny J. Nijkamp, Monique M. Barber, Paul R. van der Laak, Jeroen van de Kogel, Albert J. Bussink, Johan Kaanders, Johannes H. |
author_sort | Rademakers, Saskia E. |
collection | PubMed |
description | BACKGROUND: Automated analysis of immunohistochemically stained tissue sections is of great importance in cancer research to detect tumor-specific prognostic markers and make therapy decisions. Here, an automated quantitative analysis is presented to assess the colocalization of CAIX, a membrane-bound hypoxic marker and Ki-67, a nuclear proliferation marker. METHODS: Tissue sections of 104 biopsies from 89 patients were stained for CAIX and Ki-67 with diaminobenzidine and haematoxylin counterstain. Image scans of whole tumor sections were recorded and image maps were created with parametric mapping to quantify the markers and assess the colocalization. RESULTS: The fraction of CAIX showed a range of 0–93%. The interobserver correlation and the correlation between manual scores and automated analysis were both very strong (rs=0.96, p <0.0001, and rs=0.97, p <0.0001). The labelling index of Ki-67 exhibited a range of 0–42% with less strong interobserver and manual to automated analysis correlations (rs=0.90, p <0.0001, and rs=0.71, p <0.0008). The relative tumor area positive for both markers varied from 0 – 76%. CONCLUSION: Parametric mapping of immunohistochemically stained tumor sections is a reliable method to quantitatively analyze membrane-bound proteins and assess the colocalization of various tumor markers in different subcellular compartments. |
format | Text |
id | pubmed-3063563 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-30635632011-04-05 Parametric mapping of immunohistochemically stained tissue sections; a method to quantify the colocalization of tumor markers Rademakers, Saskia E. Rijken, Paul F. Peeters, Wenny J. Nijkamp, Monique M. Barber, Paul R. van der Laak, Jeroen van de Kogel, Albert J. Bussink, Johan Kaanders, Johannes H. Cell Oncol (Dordr) Original Paper BACKGROUND: Automated analysis of immunohistochemically stained tissue sections is of great importance in cancer research to detect tumor-specific prognostic markers and make therapy decisions. Here, an automated quantitative analysis is presented to assess the colocalization of CAIX, a membrane-bound hypoxic marker and Ki-67, a nuclear proliferation marker. METHODS: Tissue sections of 104 biopsies from 89 patients were stained for CAIX and Ki-67 with diaminobenzidine and haematoxylin counterstain. Image scans of whole tumor sections were recorded and image maps were created with parametric mapping to quantify the markers and assess the colocalization. RESULTS: The fraction of CAIX showed a range of 0–93%. The interobserver correlation and the correlation between manual scores and automated analysis were both very strong (rs=0.96, p <0.0001, and rs=0.97, p <0.0001). The labelling index of Ki-67 exhibited a range of 0–42% with less strong interobserver and manual to automated analysis correlations (rs=0.90, p <0.0001, and rs=0.71, p <0.0008). The relative tumor area positive for both markers varied from 0 – 76%. CONCLUSION: Parametric mapping of immunohistochemically stained tumor sections is a reliable method to quantitatively analyze membrane-bound proteins and assess the colocalization of various tumor markers in different subcellular compartments. Springer Netherlands 2011-02-08 2011 /pmc/articles/PMC3063563/ /pubmed/21302028 http://dx.doi.org/10.1007/s13402-010-0008-2 Text en © The Author(s) 2011 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. |
spellingShingle | Original Paper Rademakers, Saskia E. Rijken, Paul F. Peeters, Wenny J. Nijkamp, Monique M. Barber, Paul R. van der Laak, Jeroen van de Kogel, Albert J. Bussink, Johan Kaanders, Johannes H. Parametric mapping of immunohistochemically stained tissue sections; a method to quantify the colocalization of tumor markers |
title | Parametric mapping of immunohistochemically stained tissue sections; a method to quantify the colocalization of tumor markers |
title_full | Parametric mapping of immunohistochemically stained tissue sections; a method to quantify the colocalization of tumor markers |
title_fullStr | Parametric mapping of immunohistochemically stained tissue sections; a method to quantify the colocalization of tumor markers |
title_full_unstemmed | Parametric mapping of immunohistochemically stained tissue sections; a method to quantify the colocalization of tumor markers |
title_short | Parametric mapping of immunohistochemically stained tissue sections; a method to quantify the colocalization of tumor markers |
title_sort | parametric mapping of immunohistochemically stained tissue sections; a method to quantify the colocalization of tumor markers |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3063563/ https://www.ncbi.nlm.nih.gov/pubmed/21302028 http://dx.doi.org/10.1007/s13402-010-0008-2 |
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