Cargando…
Spatially-resolved quantification of proteins in triple negative breast cancers reveals differences in the immune microenvironment associated with prognosis
Triple negative breast cancer (TNBC) is an aggressive breast cancer subtype. Recent studies have shown that MHC class II (MHCII) expression and tumor infiltrating lymphocytes are important prognostic factors in patients with TNBC, although the relative importance of lymphocyte subsets and associated...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170957/ https://www.ncbi.nlm.nih.gov/pubmed/32313087 http://dx.doi.org/10.1038/s41598-020-63539-x |
_version_ | 1783523982371192832 |
---|---|
author | Stewart, Rachel L. Matynia, Anna P. Factor, Rachel E. Varley, Katherine E. |
author_facet | Stewart, Rachel L. Matynia, Anna P. Factor, Rachel E. Varley, Katherine E. |
author_sort | Stewart, Rachel L. |
collection | PubMed |
description | Triple negative breast cancer (TNBC) is an aggressive breast cancer subtype. Recent studies have shown that MHC class II (MHCII) expression and tumor infiltrating lymphocytes are important prognostic factors in patients with TNBC, although the relative importance of lymphocyte subsets and associated protein expression is incompletely understood. NanoString Digital Spatial Profiling (DSP) allows for spatially resolved, highly multiplexed quantification of proteins in clinical samples. In this study, we sought to determine if DSP could be used to characterize expression of MHCII and other immune related proteins in tumor epithelial versus stromal compartments of patient-derived TNBCs (N = 10) using a panel of 39 markers. We confirmed that a subset of TNBCs have elevated expression of HLA-DR in tumor epithelial cells; HLA-DR expression was also significantly higher in the tumors of patients with long-term disease-free survival when compared to patients that relapsed. HLA-DR expression in the epithelial compartment was correlated with high expression of CD4 and ICOS in the stromal compartment of the same tumors. We also identified candidate protein biomarkers with significant differential expression between patients that relapsed versus those that did not. In conclusion, DSP is a powerful method that allows for quantification of proteins in the immune microenvironment of TNBCs. |
format | Online Article Text |
id | pubmed-7170957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-71709572020-04-23 Spatially-resolved quantification of proteins in triple negative breast cancers reveals differences in the immune microenvironment associated with prognosis Stewart, Rachel L. Matynia, Anna P. Factor, Rachel E. Varley, Katherine E. Sci Rep Article Triple negative breast cancer (TNBC) is an aggressive breast cancer subtype. Recent studies have shown that MHC class II (MHCII) expression and tumor infiltrating lymphocytes are important prognostic factors in patients with TNBC, although the relative importance of lymphocyte subsets and associated protein expression is incompletely understood. NanoString Digital Spatial Profiling (DSP) allows for spatially resolved, highly multiplexed quantification of proteins in clinical samples. In this study, we sought to determine if DSP could be used to characterize expression of MHCII and other immune related proteins in tumor epithelial versus stromal compartments of patient-derived TNBCs (N = 10) using a panel of 39 markers. We confirmed that a subset of TNBCs have elevated expression of HLA-DR in tumor epithelial cells; HLA-DR expression was also significantly higher in the tumors of patients with long-term disease-free survival when compared to patients that relapsed. HLA-DR expression in the epithelial compartment was correlated with high expression of CD4 and ICOS in the stromal compartment of the same tumors. We also identified candidate protein biomarkers with significant differential expression between patients that relapsed versus those that did not. In conclusion, DSP is a powerful method that allows for quantification of proteins in the immune microenvironment of TNBCs. Nature Publishing Group UK 2020-04-20 /pmc/articles/PMC7170957/ /pubmed/32313087 http://dx.doi.org/10.1038/s41598-020-63539-x Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Stewart, Rachel L. Matynia, Anna P. Factor, Rachel E. Varley, Katherine E. Spatially-resolved quantification of proteins in triple negative breast cancers reveals differences in the immune microenvironment associated with prognosis |
title | Spatially-resolved quantification of proteins in triple negative breast cancers reveals differences in the immune microenvironment associated with prognosis |
title_full | Spatially-resolved quantification of proteins in triple negative breast cancers reveals differences in the immune microenvironment associated with prognosis |
title_fullStr | Spatially-resolved quantification of proteins in triple negative breast cancers reveals differences in the immune microenvironment associated with prognosis |
title_full_unstemmed | Spatially-resolved quantification of proteins in triple negative breast cancers reveals differences in the immune microenvironment associated with prognosis |
title_short | Spatially-resolved quantification of proteins in triple negative breast cancers reveals differences in the immune microenvironment associated with prognosis |
title_sort | spatially-resolved quantification of proteins in triple negative breast cancers reveals differences in the immune microenvironment associated with prognosis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170957/ https://www.ncbi.nlm.nih.gov/pubmed/32313087 http://dx.doi.org/10.1038/s41598-020-63539-x |
work_keys_str_mv | AT stewartrachell spatiallyresolvedquantificationofproteinsintriplenegativebreastcancersrevealsdifferencesintheimmunemicroenvironmentassociatedwithprognosis AT matyniaannap spatiallyresolvedquantificationofproteinsintriplenegativebreastcancersrevealsdifferencesintheimmunemicroenvironmentassociatedwithprognosis AT factorrachele spatiallyresolvedquantificationofproteinsintriplenegativebreastcancersrevealsdifferencesintheimmunemicroenvironmentassociatedwithprognosis AT varleykatherinee spatiallyresolvedquantificationofproteinsintriplenegativebreastcancersrevealsdifferencesintheimmunemicroenvironmentassociatedwithprognosis |