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Evaluation of invasive breast cancer samples using a 12-chemokine gene expression score: correlation with clinical outcomes
BACKGROUND: A unique 12-chemokine gene expression score (CS) accurately predicted the presence of tumor-localized, ectopic lymph node-like structures (TL-ELNs) and improved overall survival (OS) in primary colorectal cancer and metastatic melanoma. We analyzed the correlation between CS, clinicopath...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5477261/ https://www.ncbi.nlm.nih.gov/pubmed/28629479 http://dx.doi.org/10.1186/s13058-017-0864-z |
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author | Prabhakaran, Sangeetha Rizk, Victoria T. Ma, Zhenjun Cheng, Chia-Ho Berglund, Anders E. Coppola, Dominico Khalil, Farah Mulé, James J. Soliman, Hatem H. |
author_facet | Prabhakaran, Sangeetha Rizk, Victoria T. Ma, Zhenjun Cheng, Chia-Ho Berglund, Anders E. Coppola, Dominico Khalil, Farah Mulé, James J. Soliman, Hatem H. |
author_sort | Prabhakaran, Sangeetha |
collection | PubMed |
description | BACKGROUND: A unique 12-chemokine gene expression score (CS) accurately predicted the presence of tumor-localized, ectopic lymph node-like structures (TL-ELNs) and improved overall survival (OS) in primary colorectal cancer and metastatic melanoma. We analyzed the correlation between CS, clinicopathological variables, molecular data, and 366 survival in Moffitt Cancer Center’s Total Cancer Care (TCC) patients with non-metastatic breast cancer. METHODS: Affymetrix gene expression profiles were used to interrogate the CS by the principal component method. Breast tumors were classified as high or low score based on median split, and correlations between clinicopathologic variables, PAM50 molecular subtype, and ELN formation were analyzed using the TCC dataset. Differences in overall survival (OS) and recurrence-free survival (RFS) in the larger KM Plot breast cancer public datasets were compared using Kaplan-Meier curves. RESULTS: We divided the Total Cancer Care (TCC) breast cancer patients into two groups of high or low CS. Mean CS was 0.24 (range, 2.2–2.1). Patients with higher CS were more likely to be white (172 vs. 159; p = 0.03), had poorly differentiated tumors (112 vs. 59; p <0.0001), ER/PR negative (41 vs. 26) and HER2 positive (36 vs. 19; p = 0.001), and contain TL-ELNs. Higher CS scores were also seen in the basal and HER2+ molecular subtypes. In the KM Plot breast cancer datasets higher CS patients demonstrated superior OS (HR = 0.73, p = 0.008) and RFS (HR 0.76, p = <0.0001), especially in basal and HER2+ patients. CONCLUSIONS: High CS breast tumors tend to be higher grade, basal or HER2+, and present more frequently in Caucasians. However, this group of patients also shows the presence of TL-ELNs within the tumor microenvironment and has better survival outcomes. The CS is a novel tool that can identify breast cancer patients with tumors of a unique intratumoral immune composition and better prognosis. Whether or not the CS is a predictive response marker in breast cancer patients undergoing immunotherapy remains to be determined. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13058-017-0864-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5477261 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54772612017-06-23 Evaluation of invasive breast cancer samples using a 12-chemokine gene expression score: correlation with clinical outcomes Prabhakaran, Sangeetha Rizk, Victoria T. Ma, Zhenjun Cheng, Chia-Ho Berglund, Anders E. Coppola, Dominico Khalil, Farah Mulé, James J. Soliman, Hatem H. Breast Cancer Res Research Article BACKGROUND: A unique 12-chemokine gene expression score (CS) accurately predicted the presence of tumor-localized, ectopic lymph node-like structures (TL-ELNs) and improved overall survival (OS) in primary colorectal cancer and metastatic melanoma. We analyzed the correlation between CS, clinicopathological variables, molecular data, and 366 survival in Moffitt Cancer Center’s Total Cancer Care (TCC) patients with non-metastatic breast cancer. METHODS: Affymetrix gene expression profiles were used to interrogate the CS by the principal component method. Breast tumors were classified as high or low score based on median split, and correlations between clinicopathologic variables, PAM50 molecular subtype, and ELN formation were analyzed using the TCC dataset. Differences in overall survival (OS) and recurrence-free survival (RFS) in the larger KM Plot breast cancer public datasets were compared using Kaplan-Meier curves. RESULTS: We divided the Total Cancer Care (TCC) breast cancer patients into two groups of high or low CS. Mean CS was 0.24 (range, 2.2–2.1). Patients with higher CS were more likely to be white (172 vs. 159; p = 0.03), had poorly differentiated tumors (112 vs. 59; p <0.0001), ER/PR negative (41 vs. 26) and HER2 positive (36 vs. 19; p = 0.001), and contain TL-ELNs. Higher CS scores were also seen in the basal and HER2+ molecular subtypes. In the KM Plot breast cancer datasets higher CS patients demonstrated superior OS (HR = 0.73, p = 0.008) and RFS (HR 0.76, p = <0.0001), especially in basal and HER2+ patients. CONCLUSIONS: High CS breast tumors tend to be higher grade, basal or HER2+, and present more frequently in Caucasians. However, this group of patients also shows the presence of TL-ELNs within the tumor microenvironment and has better survival outcomes. The CS is a novel tool that can identify breast cancer patients with tumors of a unique intratumoral immune composition and better prognosis. Whether or not the CS is a predictive response marker in breast cancer patients undergoing immunotherapy remains to be determined. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13058-017-0864-z) contains supplementary material, which is available to authorized users. BioMed Central 2017-06-19 2017 /pmc/articles/PMC5477261/ /pubmed/28629479 http://dx.doi.org/10.1186/s13058-017-0864-z Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Prabhakaran, Sangeetha Rizk, Victoria T. Ma, Zhenjun Cheng, Chia-Ho Berglund, Anders E. Coppola, Dominico Khalil, Farah Mulé, James J. Soliman, Hatem H. Evaluation of invasive breast cancer samples using a 12-chemokine gene expression score: correlation with clinical outcomes |
title | Evaluation of invasive breast cancer samples using a 12-chemokine gene expression score: correlation with clinical outcomes |
title_full | Evaluation of invasive breast cancer samples using a 12-chemokine gene expression score: correlation with clinical outcomes |
title_fullStr | Evaluation of invasive breast cancer samples using a 12-chemokine gene expression score: correlation with clinical outcomes |
title_full_unstemmed | Evaluation of invasive breast cancer samples using a 12-chemokine gene expression score: correlation with clinical outcomes |
title_short | Evaluation of invasive breast cancer samples using a 12-chemokine gene expression score: correlation with clinical outcomes |
title_sort | evaluation of invasive breast cancer samples using a 12-chemokine gene expression score: correlation with clinical outcomes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5477261/ https://www.ncbi.nlm.nih.gov/pubmed/28629479 http://dx.doi.org/10.1186/s13058-017-0864-z |
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