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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
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.
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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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