Hormone Receptors: Association with Prognostic Factors for Breast Cancer
Autor(a) principal: | |
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Data de Publicação: | 2001 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Cancerologia (Online) |
Texto Completo: | https://rbc.inca.gov.br/index.php/revista/article/view/2398 |
Resumo: | Positivity for hormonal receptors (HR) in breast cancer patients is associated both with a better prognosis, and with variables predictive of favorable prognosis. A study was designed to assess predictors of positivity of estrogen (ER) and progesterone receptors (PR). Data from 306 patientes with infiltrating ductal carcinomas who were consecutively diagnosed and treated over a period of 20 months were included. Selected variables related to patients and tumors (micro and macroscopic characteristics as well as immunohistochemically-determined tumor markers) were studied. Bivariate analysis showed that some of variables were associated (p < 0.05) with the HR positivity: age > 60 years, post-menopause, age at menarche (> 11 years), tumor size (< 4,0 cm), histological grade (low), nuclear pleomorphism (low), number of mitoses (low), MIB-1 (negative) and p53 (negative). Unconditional logistic regression revealed that the following variables were independent predictive factors of positivity of ER: age > 60 years (p < 0,001), histological grade I (p < 0,05), positive PR (p < 0,001) and negative p53 (p < 0,05). For PR, two models were evaluated: a) age > 60 years (p < 0,05), age at menarche > 11 years (p < 0,05) and histological grades I and II (p < 0,05); b) histological grades I and II (p<0,05) and positive ER (p< 0,001). In this study, only age at diagnosis, histological grade, PR and p53 were independents predictors of positivity of ER. Age at diagnosis, age at menarche and histological grade (or histological grade and ER) predicted a positive PR. |
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Hormone Receptors: Association with Prognostic Factors for Breast CancerReceptores Hormonais: Associação com Fatores Prognósticos para Câncer de Mamaneoplasias mamáriascarcinoma de ductos infiltrantegrau histológicograu nuclear ou pleomorfismo nuclearreceptores hormonaismarcadores biológicos de tumorregressão logísticabreast neoplasmshormonal receptorscarcinoma infiltrating ducttumor markers biologicallogistic regressionhistological gradenuclear pleomorphism gradePositivity for hormonal receptors (HR) in breast cancer patients is associated both with a better prognosis, and with variables predictive of favorable prognosis. A study was designed to assess predictors of positivity of estrogen (ER) and progesterone receptors (PR). Data from 306 patientes with infiltrating ductal carcinomas who were consecutively diagnosed and treated over a period of 20 months were included. Selected variables related to patients and tumors (micro and macroscopic characteristics as well as immunohistochemically-determined tumor markers) were studied. Bivariate analysis showed that some of variables were associated (p < 0.05) with the HR positivity: age > 60 years, post-menopause, age at menarche (> 11 years), tumor size (< 4,0 cm), histological grade (low), nuclear pleomorphism (low), number of mitoses (low), MIB-1 (negative) and p53 (negative). Unconditional logistic regression revealed that the following variables were independent predictive factors of positivity of ER: age > 60 years (p < 0,001), histological grade I (p < 0,05), positive PR (p < 0,001) and negative p53 (p < 0,05). For PR, two models were evaluated: a) age > 60 years (p < 0,05), age at menarche > 11 years (p < 0,05) and histological grades I and II (p < 0,05); b) histological grades I and II (p<0,05) and positive ER (p< 0,001). In this study, only age at diagnosis, histological grade, PR and p53 were independents predictors of positivity of ER. Age at diagnosis, age at menarche and histological grade (or histological grade and ER) predicted a positive PR.Os tumores de mama positivos para receptores de estrogênio (RE) e/ou de progesterona (RP), além de apresentarem um prognóstico mais favorável, mostram associações com outras variáveis de bom prognóstico. A partir de um estudo com 306 carcinomas ductais infiltrantes de mama, foram construidos modelos preditivos para a positividade dos RE e dos RP. Foram estudadas variáveis relacionadas às pacientes e ao tumor (características macro e microscópicas e marcadores tumorais processados por imuno-histoquímica). Na análise bivariada, algumas variáveis se associaram estatisticamente com a positividade dos RE e RP, porém, na regressâo logística não condicional somente as seguintes variáveis foram fatores preditivos independentes: idade da paciente (RE e RP), idade da menarca (RP), grau histológico (RE e RP), RP (RE) e p53 (RE). De acordo com os resultados deste estudo as variáveis idade da paciente ao diagnóstico, grau histológico, RP e p53 foram fatores preditivos para a positividade dos RE, enquanto que a idade da paciente, a idade da menarca e o grau histológico o foram para os RP.INCA2001-03-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtigos, Avaliado pelos paresapplication/pdfhttps://rbc.inca.gov.br/index.php/revista/article/view/239810.32635/2176-9745.RBC.2001v47n1.2398Revista Brasileira de Cancerologia; Vol. 47 No. 1 (2001): Jan./Feb./Mar.; 49-58Revista Brasileira de Cancerologia; Vol. 47 Núm. 1 (2001): ene./feb./mar.; 49-58Revista Brasileira de Cancerologia; v. 47 n. 1 (2001): jan./fev./mar.; 49-582176-9745reponame:Revista Brasileira de Cancerologia (Online)instname:Instituto Nacional de Câncer José Alencar Gomes da Silva (INCA)instacron:INCAenghttps://rbc.inca.gov.br/index.php/revista/article/view/2398/1480https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessEisenberg, Ana Lucia Amaral Koifman, Sergio Rezende, Lidia Maria Magalhães Cordeiro de 2023-07-25T17:58:24Zoai:rbc.inca.gov.br:article/2398Revistahttps://rbc.inca.gov.br/index.php/revistaPUBhttps://rbc.inca.gov.br/index.php/revista/oairbc@inca.gov.br0034-71162176-9745opendoar:2023-07-25T17:58:24Revista Brasileira de Cancerologia (Online) - Instituto Nacional de Câncer José Alencar Gomes da Silva (INCA)false |
dc.title.none.fl_str_mv |
Hormone Receptors: Association with Prognostic Factors for Breast Cancer Receptores Hormonais: Associação com Fatores Prognósticos para Câncer de Mama |
title |
Hormone Receptors: Association with Prognostic Factors for Breast Cancer |
spellingShingle |
Hormone Receptors: Association with Prognostic Factors for Breast Cancer Eisenberg, Ana Lucia Amaral neoplasias mamárias carcinoma de ductos infiltrante grau histológico grau nuclear ou pleomorfismo nuclear receptores hormonais marcadores biológicos de tumor regressão logística breast neoplasms hormonal receptors carcinoma infiltrating duct tumor markers biological logistic regression histological grade nuclear pleomorphism grade |
title_short |
Hormone Receptors: Association with Prognostic Factors for Breast Cancer |
title_full |
Hormone Receptors: Association with Prognostic Factors for Breast Cancer |
title_fullStr |
Hormone Receptors: Association with Prognostic Factors for Breast Cancer |
title_full_unstemmed |
Hormone Receptors: Association with Prognostic Factors for Breast Cancer |
title_sort |
Hormone Receptors: Association with Prognostic Factors for Breast Cancer |
author |
Eisenberg, Ana Lucia Amaral |
author_facet |
Eisenberg, Ana Lucia Amaral Koifman, Sergio Rezende, Lidia Maria Magalhães Cordeiro de |
author_role |
author |
author2 |
Koifman, Sergio Rezende, Lidia Maria Magalhães Cordeiro de |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Eisenberg, Ana Lucia Amaral Koifman, Sergio Rezende, Lidia Maria Magalhães Cordeiro de |
dc.subject.por.fl_str_mv |
neoplasias mamárias carcinoma de ductos infiltrante grau histológico grau nuclear ou pleomorfismo nuclear receptores hormonais marcadores biológicos de tumor regressão logística breast neoplasms hormonal receptors carcinoma infiltrating duct tumor markers biological logistic regression histological grade nuclear pleomorphism grade |
topic |
neoplasias mamárias carcinoma de ductos infiltrante grau histológico grau nuclear ou pleomorfismo nuclear receptores hormonais marcadores biológicos de tumor regressão logística breast neoplasms hormonal receptors carcinoma infiltrating duct tumor markers biological logistic regression histological grade nuclear pleomorphism grade |
description |
Positivity for hormonal receptors (HR) in breast cancer patients is associated both with a better prognosis, and with variables predictive of favorable prognosis. A study was designed to assess predictors of positivity of estrogen (ER) and progesterone receptors (PR). Data from 306 patientes with infiltrating ductal carcinomas who were consecutively diagnosed and treated over a period of 20 months were included. Selected variables related to patients and tumors (micro and macroscopic characteristics as well as immunohistochemically-determined tumor markers) were studied. Bivariate analysis showed that some of variables were associated (p < 0.05) with the HR positivity: age > 60 years, post-menopause, age at menarche (> 11 years), tumor size (< 4,0 cm), histological grade (low), nuclear pleomorphism (low), number of mitoses (low), MIB-1 (negative) and p53 (negative). Unconditional logistic regression revealed that the following variables were independent predictive factors of positivity of ER: age > 60 years (p < 0,001), histological grade I (p < 0,05), positive PR (p < 0,001) and negative p53 (p < 0,05). For PR, two models were evaluated: a) age > 60 years (p < 0,05), age at menarche > 11 years (p < 0,05) and histological grades I and II (p < 0,05); b) histological grades I and II (p<0,05) and positive ER (p< 0,001). In this study, only age at diagnosis, histological grade, PR and p53 were independents predictors of positivity of ER. Age at diagnosis, age at menarche and histological grade (or histological grade and ER) predicted a positive PR. |
publishDate |
2001 |
dc.date.none.fl_str_mv |
2001-03-30 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artigos, Avaliado pelos pares |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rbc.inca.gov.br/index.php/revista/article/view/2398 10.32635/2176-9745.RBC.2001v47n1.2398 |
url |
https://rbc.inca.gov.br/index.php/revista/article/view/2398 |
identifier_str_mv |
10.32635/2176-9745.RBC.2001v47n1.2398 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://rbc.inca.gov.br/index.php/revista/article/view/2398/1480 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
INCA |
publisher.none.fl_str_mv |
INCA |
dc.source.none.fl_str_mv |
Revista Brasileira de Cancerologia; Vol. 47 No. 1 (2001): Jan./Feb./Mar.; 49-58 Revista Brasileira de Cancerologia; Vol. 47 Núm. 1 (2001): ene./feb./mar.; 49-58 Revista Brasileira de Cancerologia; v. 47 n. 1 (2001): jan./fev./mar.; 49-58 2176-9745 reponame:Revista Brasileira de Cancerologia (Online) instname:Instituto Nacional de Câncer José Alencar Gomes da Silva (INCA) instacron:INCA |
instname_str |
Instituto Nacional de Câncer José Alencar Gomes da Silva (INCA) |
instacron_str |
INCA |
institution |
INCA |
reponame_str |
Revista Brasileira de Cancerologia (Online) |
collection |
Revista Brasileira de Cancerologia (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Cancerologia (Online) - Instituto Nacional de Câncer José Alencar Gomes da Silva (INCA) |
repository.mail.fl_str_mv |
rbc@inca.gov.br |
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