Cargando…

Current breast cancer proliferative markers correlate variably based on decoupled duration of cell cycle phases

Mitotic count, PhH3, and MIB-1 are used as measures of the proportion of proliferating malignant cells in surgical pathology. They highlight different stages of the cell cycle, but little is known about how this affects their counts. This study assesses the strength of their correlations and attempt...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Lik Hang, Yang, Hua, Bigras, Gilbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038821/
https://www.ncbi.nlm.nih.gov/pubmed/24874299
http://dx.doi.org/10.1038/srep05122
_version_ 1782318404824203264
author Lee, Lik Hang
Yang, Hua
Bigras, Gilbert
author_facet Lee, Lik Hang
Yang, Hua
Bigras, Gilbert
author_sort Lee, Lik Hang
collection PubMed
description Mitotic count, PhH3, and MIB-1 are used as measures of the proportion of proliferating malignant cells in surgical pathology. They highlight different stages of the cell cycle, but little is known about how this affects their counts. This study assesses the strength of their correlations and attempts to determine the relationship between them. Proliferation counts for forty-nine consecutive cases of invasive breast carcinomas were analyzed, with the same tumor area on each stain counted using digital image analysis. The integrated optical density (IOD) of nuclei was measured as an approximation of nuclear DNA content. PhH3 strongly correlated with mitotic count (r = 0.94). Weaker correlations were found between MIB-1 versus PhH3 (r = 0.79) and mitotic count (r = 0.83). Nuclear IOD showed stronger correlation with MIB-1 (r = 0.37) than to mitotic count (r = 0.23) and PhH3 (r = 0.34). With evidence from a literature review, it is suggested that the weaker correlations with MIB-1 are not explained by count imprecision or error, but relies on temporal decorrelation between cell cycle phases. Consequences on correlation between these proliferative markers are illustrated by mathematical models.
format Online
Article
Text
id pubmed-4038821
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-40388212014-05-30 Current breast cancer proliferative markers correlate variably based on decoupled duration of cell cycle phases Lee, Lik Hang Yang, Hua Bigras, Gilbert Sci Rep Article Mitotic count, PhH3, and MIB-1 are used as measures of the proportion of proliferating malignant cells in surgical pathology. They highlight different stages of the cell cycle, but little is known about how this affects their counts. This study assesses the strength of their correlations and attempts to determine the relationship between them. Proliferation counts for forty-nine consecutive cases of invasive breast carcinomas were analyzed, with the same tumor area on each stain counted using digital image analysis. The integrated optical density (IOD) of nuclei was measured as an approximation of nuclear DNA content. PhH3 strongly correlated with mitotic count (r = 0.94). Weaker correlations were found between MIB-1 versus PhH3 (r = 0.79) and mitotic count (r = 0.83). Nuclear IOD showed stronger correlation with MIB-1 (r = 0.37) than to mitotic count (r = 0.23) and PhH3 (r = 0.34). With evidence from a literature review, it is suggested that the weaker correlations with MIB-1 are not explained by count imprecision or error, but relies on temporal decorrelation between cell cycle phases. Consequences on correlation between these proliferative markers are illustrated by mathematical models. Nature Publishing Group 2014-05-30 /pmc/articles/PMC4038821/ /pubmed/24874299 http://dx.doi.org/10.1038/srep05122 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/3.0/ This work is licensed under a Creative Commons Attribution 3.0 Unported License. The images in this article are included in the article's Creative Commons license, unless indicated otherwise in the image credit; if the image is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the image. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/
spellingShingle Article
Lee, Lik Hang
Yang, Hua
Bigras, Gilbert
Current breast cancer proliferative markers correlate variably based on decoupled duration of cell cycle phases
title Current breast cancer proliferative markers correlate variably based on decoupled duration of cell cycle phases
title_full Current breast cancer proliferative markers correlate variably based on decoupled duration of cell cycle phases
title_fullStr Current breast cancer proliferative markers correlate variably based on decoupled duration of cell cycle phases
title_full_unstemmed Current breast cancer proliferative markers correlate variably based on decoupled duration of cell cycle phases
title_short Current breast cancer proliferative markers correlate variably based on decoupled duration of cell cycle phases
title_sort current breast cancer proliferative markers correlate variably based on decoupled duration of cell cycle phases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038821/
https://www.ncbi.nlm.nih.gov/pubmed/24874299
http://dx.doi.org/10.1038/srep05122
work_keys_str_mv AT leelikhang currentbreastcancerproliferativemarkerscorrelatevariablybasedondecoupleddurationofcellcyclephases
AT yanghua currentbreastcancerproliferativemarkerscorrelatevariablybasedondecoupleddurationofcellcyclephases
AT bigrasgilbert currentbreastcancerproliferativemarkerscorrelatevariablybasedondecoupleddurationofcellcyclephases