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A semi-automated microscopic image analysis method for scoring Ki-67 nuclear immunostaining
Nuclear proliferation marker MIB-1 (Ki-67) immunohistochemistry (IHC) is used to examine tumor cell proliferation. However, the diagnostic or prognostic value of the Ki-67 nuclear staining intensity and location, defined as nuclear gradient (NG), has not been assessed. This study examined the potent...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Associação Brasileira de Divulgação Científica
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644968/ https://www.ncbi.nlm.nih.gov/pubmed/37970922 http://dx.doi.org/10.1590/1414-431X2023e12922 |
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author | Fernezlian, S.M. Baldavira, C.M. de Souza, M.L.F. Farhat, C. de Vilhena, A.F. Pereira, J.C.N. de Campos, J.R.M. Takagaki, T. Balancin, M.L. Ab'Saber, A.M. Capelozzi, V.L. |
author_facet | Fernezlian, S.M. Baldavira, C.M. de Souza, M.L.F. Farhat, C. de Vilhena, A.F. Pereira, J.C.N. de Campos, J.R.M. Takagaki, T. Balancin, M.L. Ab'Saber, A.M. Capelozzi, V.L. |
author_sort | Fernezlian, S.M. |
collection | PubMed |
description | Nuclear proliferation marker MIB-1 (Ki-67) immunohistochemistry (IHC) is used to examine tumor cell proliferation. However, the diagnostic or prognostic value of the Ki-67 nuclear staining intensity and location, defined as nuclear gradient (NG), has not been assessed. This study examined the potential association between Ki-67 NG and cell cycle phases and its effect on the prognosis of pulmonary typical carcinoid (PTC) tumors. We propose a method for classifying the NG of Ki-67 during the cell cycle and compare the results between PTC, pulmonary adenocarcinoma (PAD), and breast ductal carcinoma (BDC). A literature review and objective analysis of IHC-stained paraffin sections were used to determine the Ki-67 labeling index and composed a stratification of the NG into NG1, NG2, and NG3/4 categories. A semi-automated image analysis protocol was established to determine the Ki-67 NG in PTC, PAD, and BDC. High intraobserver consistency and moderate interobserver agreement were achieved in the determination of Ki-67 NG in tumor specimens. NG1 and NG2 were lower in PTC than in PAD and BDC. Cox multivariate analysis of PTC after adjusting for age and number of metastatic lymph nodes showed that Ki-67 NG1 and NG2 significantly predicted clinical outcomes. The semi-automated method for quantification of Ki-67 nuclear immunostaining proposed in this study could become a valuable diagnostic and prognostic tool in PTC. |
format | Online Article Text |
id | pubmed-10644968 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Associação Brasileira de Divulgação Científica |
record_format | MEDLINE/PubMed |
spelling | pubmed-106449682023-11-13 A semi-automated microscopic image analysis method for scoring Ki-67 nuclear immunostaining Fernezlian, S.M. Baldavira, C.M. de Souza, M.L.F. Farhat, C. de Vilhena, A.F. Pereira, J.C.N. de Campos, J.R.M. Takagaki, T. Balancin, M.L. Ab'Saber, A.M. Capelozzi, V.L. Braz J Med Biol Res Research Article Nuclear proliferation marker MIB-1 (Ki-67) immunohistochemistry (IHC) is used to examine tumor cell proliferation. However, the diagnostic or prognostic value of the Ki-67 nuclear staining intensity and location, defined as nuclear gradient (NG), has not been assessed. This study examined the potential association between Ki-67 NG and cell cycle phases and its effect on the prognosis of pulmonary typical carcinoid (PTC) tumors. We propose a method for classifying the NG of Ki-67 during the cell cycle and compare the results between PTC, pulmonary adenocarcinoma (PAD), and breast ductal carcinoma (BDC). A literature review and objective analysis of IHC-stained paraffin sections were used to determine the Ki-67 labeling index and composed a stratification of the NG into NG1, NG2, and NG3/4 categories. A semi-automated image analysis protocol was established to determine the Ki-67 NG in PTC, PAD, and BDC. High intraobserver consistency and moderate interobserver agreement were achieved in the determination of Ki-67 NG in tumor specimens. NG1 and NG2 were lower in PTC than in PAD and BDC. Cox multivariate analysis of PTC after adjusting for age and number of metastatic lymph nodes showed that Ki-67 NG1 and NG2 significantly predicted clinical outcomes. The semi-automated method for quantification of Ki-67 nuclear immunostaining proposed in this study could become a valuable diagnostic and prognostic tool in PTC. Associação Brasileira de Divulgação Científica 2023-11-13 /pmc/articles/PMC10644968/ /pubmed/37970922 http://dx.doi.org/10.1590/1414-431X2023e12922 Text en https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Fernezlian, S.M. Baldavira, C.M. de Souza, M.L.F. Farhat, C. de Vilhena, A.F. Pereira, J.C.N. de Campos, J.R.M. Takagaki, T. Balancin, M.L. Ab'Saber, A.M. Capelozzi, V.L. A semi-automated microscopic image analysis method for scoring Ki-67 nuclear immunostaining |
title | A semi-automated microscopic image analysis method for scoring Ki-67 nuclear immunostaining |
title_full | A semi-automated microscopic image analysis method for scoring Ki-67 nuclear immunostaining |
title_fullStr | A semi-automated microscopic image analysis method for scoring Ki-67 nuclear immunostaining |
title_full_unstemmed | A semi-automated microscopic image analysis method for scoring Ki-67 nuclear immunostaining |
title_short | A semi-automated microscopic image analysis method for scoring Ki-67 nuclear immunostaining |
title_sort | semi-automated microscopic image analysis method for scoring ki-67 nuclear immunostaining |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644968/ https://www.ncbi.nlm.nih.gov/pubmed/37970922 http://dx.doi.org/10.1590/1414-431X2023e12922 |
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