Predictive Factors to Lymph Node Involvement on 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/2280 |
Resumo: | Axillary lymph nodes metastases (ALM) are considered to be the most important prognostic factor for breast cancer. Data from 306 infiltrating ductal carcinomas consecutively diagnosed and treated over a period of 20 months were analised through a case-control study to assess predictive factors for the ocurrence of ALM. Bivariate analysis showed that some of variables were statistically associated (p 0.05) with ALM: age at menarche, surgical treatment, tumor size, skin involvement, nuclear pleomorphism (NP), and vascular invasion (VI). Uncon[1]ditional logistic regression reveled some independent predictive factors for ALM (p < 0.05): patient’s age, tumor size, NP, VI, and the interaction term tumor size and patient’s age, where tumor size was only predictive for ALM in patients 60 years. Age at diagnosis, tumor size, NP, and VI were independents predictors for ALM. C-erbB-2, cathepsin D, MIB-1, PCNA and p53, and hormonal receptors were not useful ALM predictors in bivariate and multivariate analysis. |
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Predictive Factors to Lymph Node Involvement on Breast CancerFatores Preditivos para Envolvimento de Linfonodos no Câncer de MamaNeoplasias MamáriasCarcinoma de Ductos InfiltranteMarcadores Biológicos de TumorMetástase NeoplásicaGânglios LinfáticosBreast NeoplasmsInfiltrating Duct CarcinomaBiological Tumor MarkersNeoplasms MetastasisLymph NodAxillary lymph nodes metastases (ALM) are considered to be the most important prognostic factor for breast cancer. Data from 306 infiltrating ductal carcinomas consecutively diagnosed and treated over a period of 20 months were analised through a case-control study to assess predictive factors for the ocurrence of ALM. Bivariate analysis showed that some of variables were statistically associated (p 0.05) with ALM: age at menarche, surgical treatment, tumor size, skin involvement, nuclear pleomorphism (NP), and vascular invasion (VI). Uncon[1]ditional logistic regression reveled some independent predictive factors for ALM (p < 0.05): patient’s age, tumor size, NP, VI, and the interaction term tumor size and patient’s age, where tumor size was only predictive for ALM in patients 60 years. Age at diagnosis, tumor size, NP, and VI were independents predictors for ALM. C-erbB-2, cathepsin D, MIB-1, PCNA and p53, and hormonal receptors were not useful ALM predictors in bivariate and multivariate analysis.A detecção precoce do câncer de mama (CM) é um fator de reconhecida importância no tratamento e prognóstico das pacientes, e as metástases para os linfonodos axilares (MLA) são os preditores mais importantes do seu prognóstico. A partir de um estudo caso-controle com 306 carcinomas ductais infiltrantes (CDI), foi construído um modelo preditivo da ocorrência de MLA em pacientes com CM (casos: CDI com MLA; controles: CDI sem MLA). Foram estudadas variáveis relacionadas às pacientes e ao tumor (características macro e microscópicas e marcadores tumorais). Na análise bivariada, algumas variáveis se associaram estatisticamente com o desfecho em questão, porém, na regressão logística não condicional, somente as seguintes variáveis foram fatores preditivos independentes: idade da paciente, tamanho do tumor, pleomorfismo nuclear, invasão vascular e/ou linfática (IV/ IL) e o termo de interação tamanho do tumor e idade da paciente, onde o tamanho do tumor só foi fator preditivo em pacientes com 60 anos ou mais. De acordo com os resultados deste estudo somente as variáveis idade da paciente, tamanho do tumor, pleomorfismo nuclear e IV/IL foram fatores preditivos para a ocorrência de MLA. Tanto os receptores hormonais quanto os marcadores tumorais estudados (c-erbB-2, catepsina D, MIB-1, PCNA e p53) não se mostraram importantes para predizer o desfecho em estudo, tanto na análise bivariada quanto na análise multivariada.INCA2001-12-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtigos, Avaliado pelos paresapplication/pdfhttps://rbc.inca.gov.br/index.php/revista/article/view/228010.32635/2176-9745.RBC.2001v47n4.2280Revista Brasileira de Cancerologia; Vol. 47 No. 4 (2001): Oct./Nov./Dec.; 389-396Revista Brasileira de Cancerologia; Vol. 47 Núm. 4 (2001): oct./nov./dic.; 389-396Revista Brasileira de Cancerologia; v. 47 n. 4 (2001): out./nov./dez.; 389-3962176-9745reponame: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/2280/1422https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessEisenberg, Ana Lucia AmaralKoifman, Sérgio Rezende, Lidia Maria M. Cordeiro de2023-07-25T15:25:38Zoai:rbc.inca.gov.br:article/2280Revistahttps://rbc.inca.gov.br/index.php/revistaPUBhttps://rbc.inca.gov.br/index.php/revista/oairbc@inca.gov.br0034-71162176-9745opendoar:2023-07-25T15:25:38Revista Brasileira de Cancerologia (Online) - Instituto Nacional de Câncer José Alencar Gomes da Silva (INCA)false |
dc.title.none.fl_str_mv |
Predictive Factors to Lymph Node Involvement on Breast Cancer Fatores Preditivos para Envolvimento de Linfonodos no Câncer de Mama |
title |
Predictive Factors to Lymph Node Involvement on Breast Cancer |
spellingShingle |
Predictive Factors to Lymph Node Involvement on Breast Cancer Eisenberg, Ana Lucia Amaral Neoplasias Mamárias Carcinoma de Ductos Infiltrante Marcadores Biológicos de Tumor Metástase Neoplásica Gânglios Linfáticos Breast Neoplasms Infiltrating Duct Carcinoma Biological Tumor Markers Neoplasms Metastasis Lymph Nod |
title_short |
Predictive Factors to Lymph Node Involvement on Breast Cancer |
title_full |
Predictive Factors to Lymph Node Involvement on Breast Cancer |
title_fullStr |
Predictive Factors to Lymph Node Involvement on Breast Cancer |
title_full_unstemmed |
Predictive Factors to Lymph Node Involvement on Breast Cancer |
title_sort |
Predictive Factors to Lymph Node Involvement on Breast Cancer |
author |
Eisenberg, Ana Lucia Amaral |
author_facet |
Eisenberg, Ana Lucia Amaral Koifman, Sérgio Rezende, Lidia Maria M. Cordeiro de |
author_role |
author |
author2 |
Koifman, Sérgio Rezende, Lidia Maria M. Cordeiro de |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Eisenberg, Ana Lucia Amaral Koifman, Sérgio Rezende, Lidia Maria M. Cordeiro de |
dc.subject.por.fl_str_mv |
Neoplasias Mamárias Carcinoma de Ductos Infiltrante Marcadores Biológicos de Tumor Metástase Neoplásica Gânglios Linfáticos Breast Neoplasms Infiltrating Duct Carcinoma Biological Tumor Markers Neoplasms Metastasis Lymph Nod |
topic |
Neoplasias Mamárias Carcinoma de Ductos Infiltrante Marcadores Biológicos de Tumor Metástase Neoplásica Gânglios Linfáticos Breast Neoplasms Infiltrating Duct Carcinoma Biological Tumor Markers Neoplasms Metastasis Lymph Nod |
description |
Axillary lymph nodes metastases (ALM) are considered to be the most important prognostic factor for breast cancer. Data from 306 infiltrating ductal carcinomas consecutively diagnosed and treated over a period of 20 months were analised through a case-control study to assess predictive factors for the ocurrence of ALM. Bivariate analysis showed that some of variables were statistically associated (p 0.05) with ALM: age at menarche, surgical treatment, tumor size, skin involvement, nuclear pleomorphism (NP), and vascular invasion (VI). Uncon[1]ditional logistic regression reveled some independent predictive factors for ALM (p < 0.05): patient’s age, tumor size, NP, VI, and the interaction term tumor size and patient’s age, where tumor size was only predictive for ALM in patients 60 years. Age at diagnosis, tumor size, NP, and VI were independents predictors for ALM. C-erbB-2, cathepsin D, MIB-1, PCNA and p53, and hormonal receptors were not useful ALM predictors in bivariate and multivariate analysis. |
publishDate |
2001 |
dc.date.none.fl_str_mv |
2001-12-28 |
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/2280 10.32635/2176-9745.RBC.2001v47n4.2280 |
url |
https://rbc.inca.gov.br/index.php/revista/article/view/2280 |
identifier_str_mv |
10.32635/2176-9745.RBC.2001v47n4.2280 |
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/2280/1422 |
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. 4 (2001): Oct./Nov./Dec.; 389-396 Revista Brasileira de Cancerologia; Vol. 47 Núm. 4 (2001): oct./nov./dic.; 389-396 Revista Brasileira de Cancerologia; v. 47 n. 4 (2001): out./nov./dez.; 389-396 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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1797042232311676928 |