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Prognostic role of p27(Kip1) and apoptosis in human breast cancer
Human breast carcinoma is biologically heterogeneous, and its clinical course may vary from an indolent slowly progressive one to a course associated with rapid progression and metastatic spread. It is important to establish prognostic factors which will define subgroups of patients with low vs high...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
1999
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2362719/ https://www.ncbi.nlm.nih.gov/pubmed/10188908 http://dx.doi.org/10.1038/sj.bjc.6690250 |
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author | Wu, J Shen, Z-Z Lu, J-S Jiang, M Han, Q-X Fontana, J A Barsky, S H Shao, Z-M |
author_facet | Wu, J Shen, Z-Z Lu, J-S Jiang, M Han, Q-X Fontana, J A Barsky, S H Shao, Z-M |
author_sort | Wu, J |
collection | PubMed |
description | Human breast carcinoma is biologically heterogeneous, and its clinical course may vary from an indolent slowly progressive one to a course associated with rapid progression and metastatic spread. It is important to establish prognostic factors which will define subgroups of patients with low vs high risk of recurrence so as to better define the need for additional therapy. Additional characterization of the molecular make-up of breast cancer phenotypes should provide important insights into the biology of breast cancer. In the present study, we investigated apoptosis, expression of p27(Kip1) and p53 retrospectively in 181 human breast cancer specimens. In addition, their relevance to the biological behaviour of breast cancer was examined. Our studies found a significant association among high histological grade, high p53, low apoptosis and low p27. Our results also demonstrated that, in human breast cancer, low levels of p27 and apoptotic index (AI) strongly correlated with the presence of lymph node metastasis and decreased patient survival. In node-negative patients, however, p27 also had prognostic value for relapse-free and overall survival in multivariate analysis. Furthermore p27 and AI had predictive value for the benefits of chemotherapy. These latter observations should prompt prospective randomized studies designed to investigate the predictive role of p27 and AI in determining who should receive chemotherapy in node-negative patients. © 1999 Cancer Research Campaign |
format | Text |
id | pubmed-2362719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 1999 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-23627192009-09-10 Prognostic role of p27(Kip1) and apoptosis in human breast cancer Wu, J Shen, Z-Z Lu, J-S Jiang, M Han, Q-X Fontana, J A Barsky, S H Shao, Z-M Br J Cancer Regular Article Human breast carcinoma is biologically heterogeneous, and its clinical course may vary from an indolent slowly progressive one to a course associated with rapid progression and metastatic spread. It is important to establish prognostic factors which will define subgroups of patients with low vs high risk of recurrence so as to better define the need for additional therapy. Additional characterization of the molecular make-up of breast cancer phenotypes should provide important insights into the biology of breast cancer. In the present study, we investigated apoptosis, expression of p27(Kip1) and p53 retrospectively in 181 human breast cancer specimens. In addition, their relevance to the biological behaviour of breast cancer was examined. Our studies found a significant association among high histological grade, high p53, low apoptosis and low p27. Our results also demonstrated that, in human breast cancer, low levels of p27 and apoptotic index (AI) strongly correlated with the presence of lymph node metastasis and decreased patient survival. In node-negative patients, however, p27 also had prognostic value for relapse-free and overall survival in multivariate analysis. Furthermore p27 and AI had predictive value for the benefits of chemotherapy. These latter observations should prompt prospective randomized studies designed to investigate the predictive role of p27 and AI in determining who should receive chemotherapy in node-negative patients. © 1999 Cancer Research Campaign Nature Publishing Group 1999-03 /pmc/articles/PMC2362719/ /pubmed/10188908 http://dx.doi.org/10.1038/sj.bjc.6690250 Text en Copyright © 1999 Cancer Research Campaign https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material.If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Regular Article Wu, J Shen, Z-Z Lu, J-S Jiang, M Han, Q-X Fontana, J A Barsky, S H Shao, Z-M Prognostic role of p27(Kip1) and apoptosis in human breast cancer |
title | Prognostic role of p27(Kip1) and apoptosis in human breast cancer |
title_full | Prognostic role of p27(Kip1) and apoptosis in human breast cancer |
title_fullStr | Prognostic role of p27(Kip1) and apoptosis in human breast cancer |
title_full_unstemmed | Prognostic role of p27(Kip1) and apoptosis in human breast cancer |
title_short | Prognostic role of p27(Kip1) and apoptosis in human breast cancer |
title_sort | prognostic role of p27(kip1) and apoptosis in human breast cancer |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2362719/ https://www.ncbi.nlm.nih.gov/pubmed/10188908 http://dx.doi.org/10.1038/sj.bjc.6690250 |
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