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Analysis of breast cancer survival in a northeastern Brazilian state based on prognostic factors: A retrospective cohort study
Breast cancer is a major health problem worldwide. Analysis of breast cancer epidemiology in emerging countries enables assessment of prognostic factors, cancer care quality, and the equity of resource distribution. We aimed to estimate the overall (OS) and cancer-specific survival (SS) of breast ca...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812889/ https://www.ncbi.nlm.nih.gov/pubmed/35113931 http://dx.doi.org/10.1371/journal.pone.0263222 |
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author | Marques, Adriane Dórea Moura, Alex Rodrigues Hora, Evânia Curvelo Brito, Érika de Abreu Costa Oliviera, Leonardo Souto Feitosa, Ionara Rodrigues Freitas, Flavia Fernandes Lima, Marcela Sampaio de Carvalho Barreto, Íkaro Daniel Santos, Marceli Oliveira da Silva, Angela Maria Lima, Carlos Anselmo |
author_facet | Marques, Adriane Dórea Moura, Alex Rodrigues Hora, Evânia Curvelo Brito, Érika de Abreu Costa Oliviera, Leonardo Souto Feitosa, Ionara Rodrigues Freitas, Flavia Fernandes Lima, Marcela Sampaio de Carvalho Barreto, Íkaro Daniel Santos, Marceli Oliveira da Silva, Angela Maria Lima, Carlos Anselmo |
author_sort | Marques, Adriane Dórea |
collection | PubMed |
description | Breast cancer is a major health problem worldwide. Analysis of breast cancer epidemiology in emerging countries enables assessment of prognostic factors, cancer care quality, and the equity of resource distribution. We aimed to estimate the overall (OS) and cancer-specific survival (SS) of breast cancer patients in the northeastern Brazilian state of Sergipe to identify independent prognostic factors. We analyzed a cohort for the factors age at diagnosis, place of residence, time to treatment, staging, and molecular classification, using the Kaplan–Meier method, log-rank test, Pearson’s chi-squared test and Cox regression model. The outcome was the vital status at the end of the study. Our analysis showed an OS probability of 0.72 and an SS probability of 0.75. In multivariate analysis, time to treatment within 60 days, stage IV, and triple-negative classification remained independent prognostic factors for both OS [unadjusted hazard ratio (HRp) 1.50 (1.21; 1.86), HRp 16.56 (8.35; 32.85), and HRp 2.73 (1.73; 4.29), respectively] and SS [HRp 1.43 (1.13; 1.81), HRp 20.53 (9.45; 44.56), and HRp 3.14 (1.88; 5.26), respectively]. Better survival was demonstrated for the following patients: those receiving their first treatment after 60 days, with an OS of 52.5 months (51.2; 53.8) and SS of 53.5 months (52.3; 54.7); stage I patients, with an OS of 58.8 months (57.7; 60.0) and SS of 59.2 months (58.1; 60.3); patients without nodal metastasis, with an OS of 54.2 months (53.0; 55.4) and SS of 55.6 months (54.5; 56.7); and patients with luminal A classification, with an OS of 56.8 months (55.0; 58.5) and SS of 57.8 months (56.2; 59.4). This study identified independent prognostic factors and that OS and SS were lower for patients from Sergipe than for patients in high-income areas. Therefore, determining the profiles of breast cancer patients in this population will inform specific cancer care. |
format | Online Article Text |
id | pubmed-8812889 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-88128892022-02-04 Analysis of breast cancer survival in a northeastern Brazilian state based on prognostic factors: A retrospective cohort study Marques, Adriane Dórea Moura, Alex Rodrigues Hora, Evânia Curvelo Brito, Érika de Abreu Costa Oliviera, Leonardo Souto Feitosa, Ionara Rodrigues Freitas, Flavia Fernandes Lima, Marcela Sampaio de Carvalho Barreto, Íkaro Daniel Santos, Marceli Oliveira da Silva, Angela Maria Lima, Carlos Anselmo PLoS One Research Article Breast cancer is a major health problem worldwide. Analysis of breast cancer epidemiology in emerging countries enables assessment of prognostic factors, cancer care quality, and the equity of resource distribution. We aimed to estimate the overall (OS) and cancer-specific survival (SS) of breast cancer patients in the northeastern Brazilian state of Sergipe to identify independent prognostic factors. We analyzed a cohort for the factors age at diagnosis, place of residence, time to treatment, staging, and molecular classification, using the Kaplan–Meier method, log-rank test, Pearson’s chi-squared test and Cox regression model. The outcome was the vital status at the end of the study. Our analysis showed an OS probability of 0.72 and an SS probability of 0.75. In multivariate analysis, time to treatment within 60 days, stage IV, and triple-negative classification remained independent prognostic factors for both OS [unadjusted hazard ratio (HRp) 1.50 (1.21; 1.86), HRp 16.56 (8.35; 32.85), and HRp 2.73 (1.73; 4.29), respectively] and SS [HRp 1.43 (1.13; 1.81), HRp 20.53 (9.45; 44.56), and HRp 3.14 (1.88; 5.26), respectively]. Better survival was demonstrated for the following patients: those receiving their first treatment after 60 days, with an OS of 52.5 months (51.2; 53.8) and SS of 53.5 months (52.3; 54.7); stage I patients, with an OS of 58.8 months (57.7; 60.0) and SS of 59.2 months (58.1; 60.3); patients without nodal metastasis, with an OS of 54.2 months (53.0; 55.4) and SS of 55.6 months (54.5; 56.7); and patients with luminal A classification, with an OS of 56.8 months (55.0; 58.5) and SS of 57.8 months (56.2; 59.4). This study identified independent prognostic factors and that OS and SS were lower for patients from Sergipe than for patients in high-income areas. Therefore, determining the profiles of breast cancer patients in this population will inform specific cancer care. Public Library of Science 2022-02-03 /pmc/articles/PMC8812889/ /pubmed/35113931 http://dx.doi.org/10.1371/journal.pone.0263222 Text en © 2022 Marques et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Marques, Adriane Dórea Moura, Alex Rodrigues Hora, Evânia Curvelo Brito, Érika de Abreu Costa Oliviera, Leonardo Souto Feitosa, Ionara Rodrigues Freitas, Flavia Fernandes Lima, Marcela Sampaio de Carvalho Barreto, Íkaro Daniel Santos, Marceli Oliveira da Silva, Angela Maria Lima, Carlos Anselmo Analysis of breast cancer survival in a northeastern Brazilian state based on prognostic factors: A retrospective cohort study |
title | Analysis of breast cancer survival in a northeastern Brazilian state based on prognostic factors: A retrospective cohort study |
title_full | Analysis of breast cancer survival in a northeastern Brazilian state based on prognostic factors: A retrospective cohort study |
title_fullStr | Analysis of breast cancer survival in a northeastern Brazilian state based on prognostic factors: A retrospective cohort study |
title_full_unstemmed | Analysis of breast cancer survival in a northeastern Brazilian state based on prognostic factors: A retrospective cohort study |
title_short | Analysis of breast cancer survival in a northeastern Brazilian state based on prognostic factors: A retrospective cohort study |
title_sort | analysis of breast cancer survival in a northeastern brazilian state based on prognostic factors: a retrospective cohort study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812889/ https://www.ncbi.nlm.nih.gov/pubmed/35113931 http://dx.doi.org/10.1371/journal.pone.0263222 |
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