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The impact of p53 in predicting clinical outcome of breast cancer patients with visceral metastasis

Escrito por Carla Brito Lopes

In the study, we analyzed role of p53 in predicting outcome in visceral metastasis breast cancer (VMBC) patients. 97 consecutive VMBC patients were studied. P53 positivity rate was 29.9%. In the p53-negative group, median disease free survival (DFS), and time from primary breast cancer diagnosis to death (OS1), time from metastases to death (OS2) were 25, 42.5, and 13.5 months, respectively. In the p53-positive group, they were 10, 22, and 8 months, respectively. Statistically significant differences in DFS and OS1 were detected between the p53-negative and p53-positive subtypes. However, p53 appears to have no influence on OS2. In Cox regression analysis, p53 expression and TNM stage were predictive factors of DFS. In the multivariate analysis, p53 expression and the duration of DFS correlated with OS1, but not for OS2. Taken together, our data indicate p53 showing predicting role in OS1 for VMBC, but not for OS2.

Keywords: Metastases, Biomarker research, Prognostic markers, Breast cancer

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Article first published: 22 Jul 2013
DOI: 10.1038/srep02246
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Citation: Yang P, Du CW, Kwan M, Liang SX, Zhang GJ. The impact of p53 in predicting clinical outcome of breast cancer patients with visceral metastasis. Macmillan Publishers Limited. All rights reserved; 2013 Jul 22;3.
Copyright: This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/

Sobre o autor

Carla Brito Lopes

Carla nasceu a 14 de Fevereiro de 1977 em Viana do Castelo. Completou o bacharelato em Anatomia Patológica, Citológica e Tanatológica na ESTES-Porto em 1998 e licenciou-se em 2001 pela Escola Superior de Tecnologia da Saúde em Lisboa. Concluiu a certificação em Laboratory Management pela ASCP (American Association of Clinical Pathology) em Setembro de 2016.
Actualmente encontra-se a frequentar mestrado em Genética Molecular e Biomedicina na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa.