Cargando…
Evaluation of an Optimal Cut-Off Point for the Ki-67 Index as a Prognostic Factor in Primary Breast Cancer: A Retrospective Study
The Ki-67 index is an important biomarker for indicating the proliferation of cancer cells and is considered to be an effective prognostic factor for breast cancer. However, a standard cut-off point for the Ki-67 index has not yet been established. Therefore, the aim of this retrospective study was...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4503758/ https://www.ncbi.nlm.nih.gov/pubmed/26177501 http://dx.doi.org/10.1371/journal.pone.0119565 |
_version_ | 1782381357176979456 |
---|---|
author | Tashima, Rumiko Nishimura, Reiki Osako, Tomofumi Nishiyama, Yasuyuki Okumura, Yasuhiro Nakano, Masahiro Fujisue, Mamiko Toyozumi, Yasuo Arima, Nobuyuki |
author_facet | Tashima, Rumiko Nishimura, Reiki Osako, Tomofumi Nishiyama, Yasuyuki Okumura, Yasuhiro Nakano, Masahiro Fujisue, Mamiko Toyozumi, Yasuo Arima, Nobuyuki |
author_sort | Tashima, Rumiko |
collection | PubMed |
description | The Ki-67 index is an important biomarker for indicating the proliferation of cancer cells and is considered to be an effective prognostic factor for breast cancer. However, a standard cut-off point for the Ki-67 index has not yet been established. Therefore, the aim of this retrospective study was to determine an optimal cut-off point in order to establish it as a more accurate prognostic factor. Immunohistochemical analysis of the Ki-67 index was performed on 4329 patients with primary breast cancer from August 1987 to March 2012. Out of this sample, there were 3186 consecutive cases from September 1997 with simultaneous evaluations of ER, PgR and HER2 status. Cox's proportional hazard model was used to perform univariate and multivariate analyses of the factors related to OS. The hazard ratios (HR) and the p values were then compared to determine the optimal cut-off point for the Ki-67 index. The median Ki-67 index value was 20.5% (mean value 26.2%). The univariate analysis revealed that there was a statistically significant negative correlation with DFS and OS and the multivariate analysis revealed that the Ki-67 index value was a significant factor for DFS and OS. The top seven cut-off points were then carefully chosen based on the results of the univariate analysis using the lowest p-values and the highest HR as the main selection criteria. The multivariate analysis of the factors for OS showed that the cut-off point of 20% had the highest HR in all of the cases. However, the cutoff point of 20% was only a significant factor for OS in the Luminal/HER2- subtype. There was no correlation between the Ki-67 index value and OS in any of the other subtypes. These data indicate that the optimal cut-off point of 20% is the most effective prognostic factor for Luminal/HER2- breast cancer. |
format | Online Article Text |
id | pubmed-4503758 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45037582015-07-17 Evaluation of an Optimal Cut-Off Point for the Ki-67 Index as a Prognostic Factor in Primary Breast Cancer: A Retrospective Study Tashima, Rumiko Nishimura, Reiki Osako, Tomofumi Nishiyama, Yasuyuki Okumura, Yasuhiro Nakano, Masahiro Fujisue, Mamiko Toyozumi, Yasuo Arima, Nobuyuki PLoS One Research Article The Ki-67 index is an important biomarker for indicating the proliferation of cancer cells and is considered to be an effective prognostic factor for breast cancer. However, a standard cut-off point for the Ki-67 index has not yet been established. Therefore, the aim of this retrospective study was to determine an optimal cut-off point in order to establish it as a more accurate prognostic factor. Immunohistochemical analysis of the Ki-67 index was performed on 4329 patients with primary breast cancer from August 1987 to March 2012. Out of this sample, there were 3186 consecutive cases from September 1997 with simultaneous evaluations of ER, PgR and HER2 status. Cox's proportional hazard model was used to perform univariate and multivariate analyses of the factors related to OS. The hazard ratios (HR) and the p values were then compared to determine the optimal cut-off point for the Ki-67 index. The median Ki-67 index value was 20.5% (mean value 26.2%). The univariate analysis revealed that there was a statistically significant negative correlation with DFS and OS and the multivariate analysis revealed that the Ki-67 index value was a significant factor for DFS and OS. The top seven cut-off points were then carefully chosen based on the results of the univariate analysis using the lowest p-values and the highest HR as the main selection criteria. The multivariate analysis of the factors for OS showed that the cut-off point of 20% had the highest HR in all of the cases. However, the cutoff point of 20% was only a significant factor for OS in the Luminal/HER2- subtype. There was no correlation between the Ki-67 index value and OS in any of the other subtypes. These data indicate that the optimal cut-off point of 20% is the most effective prognostic factor for Luminal/HER2- breast cancer. Public Library of Science 2015-07-15 /pmc/articles/PMC4503758/ /pubmed/26177501 http://dx.doi.org/10.1371/journal.pone.0119565 Text en © 2015 Tashima et al http://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 author and source are properly credited. |
spellingShingle | Research Article Tashima, Rumiko Nishimura, Reiki Osako, Tomofumi Nishiyama, Yasuyuki Okumura, Yasuhiro Nakano, Masahiro Fujisue, Mamiko Toyozumi, Yasuo Arima, Nobuyuki Evaluation of an Optimal Cut-Off Point for the Ki-67 Index as a Prognostic Factor in Primary Breast Cancer: A Retrospective Study |
title | Evaluation of an Optimal Cut-Off Point for the Ki-67 Index as a Prognostic Factor in Primary Breast Cancer: A Retrospective Study |
title_full | Evaluation of an Optimal Cut-Off Point for the Ki-67 Index as a Prognostic Factor in Primary Breast Cancer: A Retrospective Study |
title_fullStr | Evaluation of an Optimal Cut-Off Point for the Ki-67 Index as a Prognostic Factor in Primary Breast Cancer: A Retrospective Study |
title_full_unstemmed | Evaluation of an Optimal Cut-Off Point for the Ki-67 Index as a Prognostic Factor in Primary Breast Cancer: A Retrospective Study |
title_short | Evaluation of an Optimal Cut-Off Point for the Ki-67 Index as a Prognostic Factor in Primary Breast Cancer: A Retrospective Study |
title_sort | evaluation of an optimal cut-off point for the ki-67 index as a prognostic factor in primary breast cancer: a retrospective study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4503758/ https://www.ncbi.nlm.nih.gov/pubmed/26177501 http://dx.doi.org/10.1371/journal.pone.0119565 |
work_keys_str_mv | AT tashimarumiko evaluationofanoptimalcutoffpointfortheki67indexasaprognosticfactorinprimarybreastcanceraretrospectivestudy AT nishimurareiki evaluationofanoptimalcutoffpointfortheki67indexasaprognosticfactorinprimarybreastcanceraretrospectivestudy AT osakotomofumi evaluationofanoptimalcutoffpointfortheki67indexasaprognosticfactorinprimarybreastcanceraretrospectivestudy AT nishiyamayasuyuki evaluationofanoptimalcutoffpointfortheki67indexasaprognosticfactorinprimarybreastcanceraretrospectivestudy AT okumurayasuhiro evaluationofanoptimalcutoffpointfortheki67indexasaprognosticfactorinprimarybreastcanceraretrospectivestudy AT nakanomasahiro evaluationofanoptimalcutoffpointfortheki67indexasaprognosticfactorinprimarybreastcanceraretrospectivestudy AT fujisuemamiko evaluationofanoptimalcutoffpointfortheki67indexasaprognosticfactorinprimarybreastcanceraretrospectivestudy AT toyozumiyasuo evaluationofanoptimalcutoffpointfortheki67indexasaprognosticfactorinprimarybreastcanceraretrospectivestudy AT arimanobuyuki evaluationofanoptimalcutoffpointfortheki67indexasaprognosticfactorinprimarybreastcanceraretrospectivestudy |