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Lymphocyte subsets predictive value and possible involvement of human papilloma virus infection on breast cancer molecular subtypes

AIM: To detect human papilloma virus (HPV) presence and to characterize cellular immune response in breast cancer patients. METHODS: A total of 74 women were included, of which 48 samples were from patients diagnosed with breast cancer and 26 patients with benign pathology of the breast. Molecular s...

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Autores principales: Fernandes, Andreína, Pesci-Feltri, Adriana, García-Fleury, Isabel, López, Marco, Guida, Vincent, De Macedo, Marisol, Correnti, María
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6230918/
https://www.ncbi.nlm.nih.gov/pubmed/30425937
http://dx.doi.org/10.5306/wjco.v9.i7.123
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author Fernandes, Andreína
Pesci-Feltri, Adriana
García-Fleury, Isabel
López, Marco
Guida, Vincent
De Macedo, Marisol
Correnti, María
author_facet Fernandes, Andreína
Pesci-Feltri, Adriana
García-Fleury, Isabel
López, Marco
Guida, Vincent
De Macedo, Marisol
Correnti, María
author_sort Fernandes, Andreína
collection PubMed
description AIM: To detect human papilloma virus (HPV) presence and to characterize cellular immune response in breast cancer patients. METHODS: A total of 74 women were included, of which 48 samples were from patients diagnosed with breast cancer and 26 patients with benign pathology of the breast. Molecular subtype classification was performed based on the immunohistochemical reports of the tumor piece. HPV genome detection and genotyping from fresh breast biopsies was performed using the INNO-LIPA HPV Genotyping Extra test (Innogenetics, Ghent, Belgium). CD3+, CD4+, CD8+ and natural killer (NK)+ cells levels from peripheral blood samples from patients with breast cancer and benign pathology were measured by flow cytometry. RESULTS: Luminal A was the most frequent breast cancer molecular subtype (33.33%). HPV was detected in 25% of the breast cancer patients, and genotype 18 was the most frequent in the studied population. The mean of CD3+, CD4+ and CD8+ subpopulations were decreased in patients with breast cancer, in relation to those with benign pathology, with a statistically significant difference in CD8+ values (P = 0.048). The mean of NK+ cells was increased in the benign pathology group. The average level of CD3+, CD4+, CD8+ and NK+ cells decreased as the disease progressed. HER2+ and Luminal B HER2+ tumors had the lowest counts of cell subsets. HPV breast cancer patients had elevated counts of cellular subsets. CONCLUSION: Determining level changes in cellular subsets in breast cancer patients is a useful tool to evaluate treatment response.
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spelling pubmed-62309182018-11-13 Lymphocyte subsets predictive value and possible involvement of human papilloma virus infection on breast cancer molecular subtypes Fernandes, Andreína Pesci-Feltri, Adriana García-Fleury, Isabel López, Marco Guida, Vincent De Macedo, Marisol Correnti, María World J Clin Oncol Basic Study AIM: To detect human papilloma virus (HPV) presence and to characterize cellular immune response in breast cancer patients. METHODS: A total of 74 women were included, of which 48 samples were from patients diagnosed with breast cancer and 26 patients with benign pathology of the breast. Molecular subtype classification was performed based on the immunohistochemical reports of the tumor piece. HPV genome detection and genotyping from fresh breast biopsies was performed using the INNO-LIPA HPV Genotyping Extra test (Innogenetics, Ghent, Belgium). CD3+, CD4+, CD8+ and natural killer (NK)+ cells levels from peripheral blood samples from patients with breast cancer and benign pathology were measured by flow cytometry. RESULTS: Luminal A was the most frequent breast cancer molecular subtype (33.33%). HPV was detected in 25% of the breast cancer patients, and genotype 18 was the most frequent in the studied population. The mean of CD3+, CD4+ and CD8+ subpopulations were decreased in patients with breast cancer, in relation to those with benign pathology, with a statistically significant difference in CD8+ values (P = 0.048). The mean of NK+ cells was increased in the benign pathology group. The average level of CD3+, CD4+, CD8+ and NK+ cells decreased as the disease progressed. HER2+ and Luminal B HER2+ tumors had the lowest counts of cell subsets. HPV breast cancer patients had elevated counts of cellular subsets. CONCLUSION: Determining level changes in cellular subsets in breast cancer patients is a useful tool to evaluate treatment response. Baishideng Publishing Group Inc 2018-11-10 2018-11-10 /pmc/articles/PMC6230918/ /pubmed/30425937 http://dx.doi.org/10.5306/wjco.v9.i7.123 Text en ©The Author(s) 2018. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.
spellingShingle Basic Study
Fernandes, Andreína
Pesci-Feltri, Adriana
García-Fleury, Isabel
López, Marco
Guida, Vincent
De Macedo, Marisol
Correnti, María
Lymphocyte subsets predictive value and possible involvement of human papilloma virus infection on breast cancer molecular subtypes
title Lymphocyte subsets predictive value and possible involvement of human papilloma virus infection on breast cancer molecular subtypes
title_full Lymphocyte subsets predictive value and possible involvement of human papilloma virus infection on breast cancer molecular subtypes
title_fullStr Lymphocyte subsets predictive value and possible involvement of human papilloma virus infection on breast cancer molecular subtypes
title_full_unstemmed Lymphocyte subsets predictive value and possible involvement of human papilloma virus infection on breast cancer molecular subtypes
title_short Lymphocyte subsets predictive value and possible involvement of human papilloma virus infection on breast cancer molecular subtypes
title_sort lymphocyte subsets predictive value and possible involvement of human papilloma virus infection on breast cancer molecular subtypes
topic Basic Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6230918/
https://www.ncbi.nlm.nih.gov/pubmed/30425937
http://dx.doi.org/10.5306/wjco.v9.i7.123
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