Protein-based immune profiles of basal-like vs. luminal breast cancers
Tumor-infiltrating lymphocytes play an important, but incompletely understood role in chemotherapy response and prognosis. In breast cancer, there appear to be distinct immune responses by subtype, but most studies have used limited numbers of protein markers or bulk sequencing of RNA to characteriz...
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Veröffentlicht in: | Laboratory investigation 2021-06, Vol.101 (6), p.785-793 |
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creator | Walens, Andrea Olsson, Linnea T. Gao, Xiaohua Hamilton, Alina M. Kirk, Erin L. Cohen, Stephanie M. Midkiff, Bentley R. Xia, Yongjuan Sherman, Mark E. Nikolaishvili-Feinberg, Nana Serody, Jonathan S. Hoadley, Katherine A. Troester, Melissa A. Calhoun, Benjamin C. |
description | Tumor-infiltrating lymphocytes play an important, but incompletely understood role in chemotherapy response and prognosis. In breast cancer, there appear to be distinct immune responses by subtype, but most studies have used limited numbers of protein markers or bulk sequencing of RNA to characterize immune response, in which spatial organization cannot be assessed. To identify immune phenotypes of Basal-like vs. Luminal breast cancer we used the GeoMx® (NanoString) platform to perform digital spatial profiling of immune-related proteins in tumor whole sections and tissue microarrays (TMA). Visualization of CD45, CD68, or pan-Cytokeratin by immunofluorescence was used to select regions of interest in formalin-fixed paraffin embedded tissue sections. Forty-four antibodies representing stromal markers and multiple immune cell types were applied to quantify the tumor microenvironment. In whole tumor slides, immune hot spots (CD45+) had increased expression of many immune markers, suggesting a diverse and robust immune response. In epithelium-enriched areas, immune signals were also detectable and varied by subtype, with regulatory T-cell (Treg) markers (CD4, CD25, and FOXP3) being higher in Basal-like vs. Luminal breast cancer. Extending these findings to TMAs with more patients (n = 75), we confirmed subtype-specific immune profiles, including enrichment of Treg markers in Basal-likes. This work demonstrated that immune responses can be detected in epithelium-rich tissue, and that TMAs are a viable approach for obtaining important immunoprofiling data. In addition, we found that immune marker expression is associated with breast cancer subtype, suggesting possible prognostic, or targetable differences. |
doi_str_mv | 10.1038/s41374-020-00506-0 |
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In breast cancer, there appear to be distinct immune responses by subtype, but most studies have used limited numbers of protein markers or bulk sequencing of RNA to characterize immune response, in which spatial organization cannot be assessed. To identify immune phenotypes of Basal-like vs. Luminal breast cancer we used the GeoMx® (NanoString) platform to perform digital spatial profiling of immune-related proteins in tumor whole sections and tissue microarrays (TMA). Visualization of CD45, CD68, or pan-Cytokeratin by immunofluorescence was used to select regions of interest in formalin-fixed paraffin embedded tissue sections. Forty-four antibodies representing stromal markers and multiple immune cell types were applied to quantify the tumor microenvironment. In whole tumor slides, immune hot spots (CD45+) had increased expression of many immune markers, suggesting a diverse and robust immune response. In epithelium-enriched areas, immune signals were also detectable and varied by subtype, with regulatory T-cell (Treg) markers (CD4, CD25, and FOXP3) being higher in Basal-like vs. Luminal breast cancer. Extending these findings to TMAs with more patients (n = 75), we confirmed subtype-specific immune profiles, including enrichment of Treg markers in Basal-likes. This work demonstrated that immune responses can be detected in epithelium-rich tissue, and that TMAs are a viable approach for obtaining important immunoprofiling data. In addition, we found that immune marker expression is associated with breast cancer subtype, suggesting possible prognostic, or targetable differences.</description><identifier>ISSN: 0023-6837</identifier><identifier>ISSN: 1530-0307</identifier><identifier>EISSN: 1530-0307</identifier><identifier>DOI: 10.1038/s41374-020-00506-0</identifier><identifier>PMID: 33623115</identifier><language>eng</language><publisher>New York: Elsevier Inc</publisher><subject>13 ; 13/1 ; 13/105 ; 13/51 ; 14/63 ; 631/67/1347 ; 692/308/575 ; Adult ; Aged ; Antibodies ; Biomarkers, Tumor - immunology ; Biomarkers, Tumor - metabolism ; Breast cancer ; Breast Neoplasms - classification ; Breast Neoplasms - immunology ; Breast Neoplasms - metabolism ; CD25 antigen ; CD4 antigen ; CD45 antigen ; Chemotherapy ; Cytokeratin ; Epithelium ; Female ; Foxp3 protein ; Gene sequencing ; Humans ; Immune response ; Immune system ; Immunofluorescence ; Immunoregulation ; Laboratory Medicine ; Leukocyte Common Antigens - metabolism ; Lymphocytes ; Lymphocytes T ; Markers ; Medicine ; Medicine & Public Health ; Middle Aged ; Neoplasm Proteins - immunology ; Neoplasm Proteins - metabolism ; Paraffin ; Paraffins ; Pathology ; Phenotypes ; Proteins ; technical-report ; Tissue Array Analysis ; Tissues ; Tumor microenvironment ; Tumor-infiltrating lymphocytes ; Tumors ; Young Adult</subject><ispartof>Laboratory investigation, 2021-06, Vol.101 (6), p.785-793</ispartof><rights>2020 United States & Canadian Academy of Pathology</rights><rights>United States and Canadian Academy of Pathology 2020</rights><rights>United States and Canadian Academy of Pathology 2020.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c527t-4b85f9f374280fc6d2a2cf55714ca601e1cc07e8ba59d7a3a33108d0f52dda9d3</citedby><cites>FETCH-LOGICAL-c527t-4b85f9f374280fc6d2a2cf55714ca601e1cc07e8ba59d7a3a33108d0f52dda9d3</cites><orcidid>0000-0001-6505-5430 ; 0000-0002-6565-9055</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33623115$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Walens, Andrea</creatorcontrib><creatorcontrib>Olsson, Linnea T.</creatorcontrib><creatorcontrib>Gao, Xiaohua</creatorcontrib><creatorcontrib>Hamilton, Alina M.</creatorcontrib><creatorcontrib>Kirk, Erin L.</creatorcontrib><creatorcontrib>Cohen, Stephanie M.</creatorcontrib><creatorcontrib>Midkiff, Bentley R.</creatorcontrib><creatorcontrib>Xia, Yongjuan</creatorcontrib><creatorcontrib>Sherman, Mark E.</creatorcontrib><creatorcontrib>Nikolaishvili-Feinberg, Nana</creatorcontrib><creatorcontrib>Serody, Jonathan S.</creatorcontrib><creatorcontrib>Hoadley, Katherine A.</creatorcontrib><creatorcontrib>Troester, Melissa A.</creatorcontrib><creatorcontrib>Calhoun, Benjamin C.</creatorcontrib><title>Protein-based immune profiles of basal-like vs. luminal breast cancers</title><title>Laboratory investigation</title><addtitle>Lab Invest</addtitle><addtitle>Lab Invest</addtitle><description>Tumor-infiltrating lymphocytes play an important, but incompletely understood role in chemotherapy response and prognosis. In breast cancer, there appear to be distinct immune responses by subtype, but most studies have used limited numbers of protein markers or bulk sequencing of RNA to characterize immune response, in which spatial organization cannot be assessed. To identify immune phenotypes of Basal-like vs. Luminal breast cancer we used the GeoMx® (NanoString) platform to perform digital spatial profiling of immune-related proteins in tumor whole sections and tissue microarrays (TMA). Visualization of CD45, CD68, or pan-Cytokeratin by immunofluorescence was used to select regions of interest in formalin-fixed paraffin embedded tissue sections. Forty-four antibodies representing stromal markers and multiple immune cell types were applied to quantify the tumor microenvironment. In whole tumor slides, immune hot spots (CD45+) had increased expression of many immune markers, suggesting a diverse and robust immune response. In epithelium-enriched areas, immune signals were also detectable and varied by subtype, with regulatory T-cell (Treg) markers (CD4, CD25, and FOXP3) being higher in Basal-like vs. Luminal breast cancer. Extending these findings to TMAs with more patients (n = 75), we confirmed subtype-specific immune profiles, including enrichment of Treg markers in Basal-likes. This work demonstrated that immune responses can be detected in epithelium-rich tissue, and that TMAs are a viable approach for obtaining important immunoprofiling data. In addition, we found that immune marker expression is associated with breast cancer subtype, suggesting possible prognostic, or targetable differences.</description><subject>13</subject><subject>13/1</subject><subject>13/105</subject><subject>13/51</subject><subject>14/63</subject><subject>631/67/1347</subject><subject>692/308/575</subject><subject>Adult</subject><subject>Aged</subject><subject>Antibodies</subject><subject>Biomarkers, Tumor - immunology</subject><subject>Biomarkers, Tumor - metabolism</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - classification</subject><subject>Breast Neoplasms - immunology</subject><subject>Breast Neoplasms - metabolism</subject><subject>CD25 antigen</subject><subject>CD4 antigen</subject><subject>CD45 antigen</subject><subject>Chemotherapy</subject><subject>Cytokeratin</subject><subject>Epithelium</subject><subject>Female</subject><subject>Foxp3 protein</subject><subject>Gene sequencing</subject><subject>Humans</subject><subject>Immune response</subject><subject>Immune system</subject><subject>Immunofluorescence</subject><subject>Immunoregulation</subject><subject>Laboratory Medicine</subject><subject>Leukocyte Common Antigens - metabolism</subject><subject>Lymphocytes</subject><subject>Lymphocytes T</subject><subject>Markers</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Neoplasm Proteins - immunology</subject><subject>Neoplasm Proteins - metabolism</subject><subject>Paraffin</subject><subject>Paraffins</subject><subject>Pathology</subject><subject>Phenotypes</subject><subject>Proteins</subject><subject>technical-report</subject><subject>Tissue Array Analysis</subject><subject>Tissues</subject><subject>Tumor microenvironment</subject><subject>Tumor-infiltrating lymphocytes</subject><subject>Tumors</subject><subject>Young 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immune profiles of basal-like vs. luminal breast cancers</title><author>Walens, Andrea ; Olsson, Linnea T. ; Gao, Xiaohua ; Hamilton, Alina M. ; Kirk, Erin L. ; Cohen, Stephanie M. ; Midkiff, Bentley R. ; Xia, Yongjuan ; Sherman, Mark E. ; Nikolaishvili-Feinberg, Nana ; Serody, Jonathan S. ; Hoadley, Katherine A. ; Troester, Melissa A. ; Calhoun, Benjamin C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c527t-4b85f9f374280fc6d2a2cf55714ca601e1cc07e8ba59d7a3a33108d0f52dda9d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>13</topic><topic>13/1</topic><topic>13/105</topic><topic>13/51</topic><topic>14/63</topic><topic>631/67/1347</topic><topic>692/308/575</topic><topic>Adult</topic><topic>Aged</topic><topic>Antibodies</topic><topic>Biomarkers, Tumor - immunology</topic><topic>Biomarkers, Tumor - metabolism</topic><topic>Breast cancer</topic><topic>Breast Neoplasms - 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Invest</addtitle><date>2021-06-01</date><risdate>2021</risdate><volume>101</volume><issue>6</issue><spage>785</spage><epage>793</epage><pages>785-793</pages><issn>0023-6837</issn><issn>1530-0307</issn><eissn>1530-0307</eissn><abstract>Tumor-infiltrating lymphocytes play an important, but incompletely understood role in chemotherapy response and prognosis. In breast cancer, there appear to be distinct immune responses by subtype, but most studies have used limited numbers of protein markers or bulk sequencing of RNA to characterize immune response, in which spatial organization cannot be assessed. To identify immune phenotypes of Basal-like vs. Luminal breast cancer we used the GeoMx® (NanoString) platform to perform digital spatial profiling of immune-related proteins in tumor whole sections and tissue microarrays (TMA). Visualization of CD45, CD68, or pan-Cytokeratin by immunofluorescence was used to select regions of interest in formalin-fixed paraffin embedded tissue sections. Forty-four antibodies representing stromal markers and multiple immune cell types were applied to quantify the tumor microenvironment. In whole tumor slides, immune hot spots (CD45+) had increased expression of many immune markers, suggesting a diverse and robust immune response. In epithelium-enriched areas, immune signals were also detectable and varied by subtype, with regulatory T-cell (Treg) markers (CD4, CD25, and FOXP3) being higher in Basal-like vs. Luminal breast cancer. Extending these findings to TMAs with more patients (n = 75), we confirmed subtype-specific immune profiles, including enrichment of Treg markers in Basal-likes. This work demonstrated that immune responses can be detected in epithelium-rich tissue, and that TMAs are a viable approach for obtaining important immunoprofiling data. In addition, we found that immune marker expression is associated with breast cancer subtype, suggesting possible prognostic, or targetable differences.</abstract><cop>New York</cop><pub>Elsevier Inc</pub><pmid>33623115</pmid><doi>10.1038/s41374-020-00506-0</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-6505-5430</orcidid><orcidid>https://orcid.org/0000-0002-6565-9055</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 13 13/1 13/105 13/51 14/63 631/67/1347 692/308/575 Adult Aged Antibodies Biomarkers, Tumor - immunology Biomarkers, Tumor - metabolism Breast cancer Breast Neoplasms - classification Breast Neoplasms - immunology Breast Neoplasms - metabolism CD25 antigen CD4 antigen CD45 antigen Chemotherapy Cytokeratin Epithelium Female Foxp3 protein Gene sequencing Humans Immune response Immune system Immunofluorescence Immunoregulation Laboratory Medicine Leukocyte Common Antigens - metabolism Lymphocytes Lymphocytes T Markers Medicine Medicine & Public Health Middle Aged Neoplasm Proteins - immunology Neoplasm Proteins - metabolism Paraffin Paraffins Pathology Phenotypes Proteins technical-report Tissue Array Analysis Tissues Tumor microenvironment Tumor-infiltrating lymphocytes Tumors Young Adult |
title | Protein-based immune profiles of basal-like vs. luminal breast cancers |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T12%3A33%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Protein-based%20immune%20profiles%20of%20basal-like%20vs.%20luminal%20breast%20cancers&rft.jtitle=Laboratory%20investigation&rft.au=Walens,%20Andrea&rft.date=2021-06-01&rft.volume=101&rft.issue=6&rft.spage=785&rft.epage=793&rft.pages=785-793&rft.issn=0023-6837&rft.eissn=1530-0307&rft_id=info:doi/10.1038/s41374-020-00506-0&rft_dat=%3Cproquest_pubme%3E2493000194%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2529598705&rft_id=info:pmid/33623115&rft_els_id=S0023683722006304&rfr_iscdi=true |