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Programmed death‐ligand 1 gene expression is a prognostic marker in early breast cancer and provides additional prognostic value to 21‐gene and 70‐gene signatures in estrogen receptor‐positive disease
Gene and protein expression of programmed death‐ligand 1 (PD‐L1) are prognostic in early breast cancer (BC), but their prognostic information is inconsistent at least in some biological subgroups. The validated prognostic gene signatures (GS) in BC are mainly based on proliferation and estrogen rece...
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Published in: | Molecular oncology 2020-05, Vol.14 (5), p.951-963 |
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description | Gene and protein expression of programmed death‐ligand 1 (PD‐L1) are prognostic in early breast cancer (BC), but their prognostic information is inconsistent at least in some biological subgroups. The validated prognostic gene signatures (GS) in BC are mainly based on proliferation and estrogen receptor (ER)‐related genes. Here, we aimed to explore the prognostic capacity of PD‐L1 expression at the protein vs mRNA levels and to investigate the prognostic information that PD‐L1 can potentially add to routinely used GS. Gene expression data were derived from two early BC cohorts (cohort 1: 562 patients; cohort 2: 1081 patients). Tissue microarrays from cohort 1 were immunohistochemically (IHC) stained for PD‐L1 using the SP263 clone. GS scores (21‐gene, 70‐gene) were calculated, and likelihood‐ratio (LR) tests and concordance indices were used to evaluate the additional prognostic information for each signature. The immune cell composition was also evaluated using the CIBERSORT in silico tool. PD‐L1 gene and protein expressions were independently associated with better prognosis. In ER+/HER2− patients, PD‐L1 gene expression provided significant additional prognostic information beyond that of both 21‐GS [LR‐Δχ2 = 15.289 and LR‐Δχ2 = 8.812, P |
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Programmed death‐ligand 1 (PD‐L1) immunohistochemical and gene expressions represent favorable prognostic factors in early breast cancer patients and were also associated with high immune infiltration. Furthermore, PD‐L1 gene expression provided significant additional prognostic information beyond that of both 21‐gene and 70‐gene signature scores alone in ER+/HER2− disease.]]></description><identifier>ISSN: 1574-7891</identifier><identifier>ISSN: 1878-0261</identifier><identifier>EISSN: 1878-0261</identifier><identifier>DOI: 10.1002/1878-0261.12654</identifier><identifier>PMID: 32115850</identifier><language>eng</language><publisher>United States: John Wiley & Sons, Inc</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Apoptosis ; Biomarkers ; Biomarkers, Tumor - metabolism ; Blood Cells - cytology ; Blood Cells - metabolism ; Breast cancer ; Breast Neoplasms - genetics ; Breast Neoplasms - metabolism ; Breast Neoplasms - pathology ; Cancer therapies ; CD3 antigen ; CD3 Complex - metabolism ; CD4 antigen ; CD4 Antigens - metabolism ; CD4-Positive T-Lymphocytes - cytology ; CD4-Positive T-Lymphocytes - metabolism ; CD8 antigen ; CD8 Antigens - metabolism ; CD8-Positive T-Lymphocytes - cytology ; CD8-Positive T-Lymphocytes - metabolism ; Cloning ; Cohort Studies ; Databases, Genetic ; DNA microarrays ; Epidermal growth factor ; ErbB-2 protein ; Estrogen receptors ; Female ; Gene expression ; Gene Expression Regulation, Neoplastic - genetics ; gene signatures ; Genomes ; Humans ; Hybridization ; Immunohistochemistry ; L1 gene ; Ligands ; Lymphocytes ; Lymphocytes T ; Medicin och hälsovetenskap ; Metastases ; Metastasis ; Middle Aged ; Patients ; PD-L1 protein ; PD‐L1 ; Prognosis ; Programmed Cell Death 1 Receptor - genetics ; Programmed Cell Death 1 Receptor - metabolism ; Proportional Hazards Models ; Protein expression ; Proteins ; Receptor, ErbB-2 - genetics ; Receptor, ErbB-2 - metabolism ; Receptors, Estrogen - genetics ; Receptors, Estrogen - metabolism ; RNA-Seq ; Tissue Array Analysis ; Tumors ; Young Adult</subject><ispartof>Molecular oncology, 2020-05, Vol.14 (5), p.951-963</ispartof><rights>2020 The Authors. Published by FEBS Press and John Wiley & Sons Ltd.</rights><rights>2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c6224-13f25a4040c8d639a8d0fe2f0946ee0c2c157958d6ba9c9305893feaf3c1c6903</citedby><cites>FETCH-LOGICAL-c6224-13f25a4040c8d639a8d0fe2f0946ee0c2c157958d6ba9c9305893feaf3c1c6903</cites><orcidid>0000-0002-8304-2462 ; 0000-0001-9919-4471</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2396083289/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2396083289?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,11562,25753,27924,27925,37012,37013,44590,46052,46476,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32115850$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:143254927$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Zerdes, Ioannis</creatorcontrib><creatorcontrib>Sifakis, Emmanouil G.</creatorcontrib><creatorcontrib>Matikas, Alexios</creatorcontrib><creatorcontrib>Chrétien, Sebastian</creatorcontrib><creatorcontrib>Tobin, Nicholas P.</creatorcontrib><creatorcontrib>Hartman, Johan</creatorcontrib><creatorcontrib>Rassidakis, George Z.</creatorcontrib><creatorcontrib>Bergh, Jonas</creatorcontrib><creatorcontrib>Foukakis, Theodoros</creatorcontrib><title>Programmed death‐ligand 1 gene expression is a prognostic marker in early breast cancer and provides additional prognostic value to 21‐gene and 70‐gene signatures in estrogen receptor‐positive disease</title><title>Molecular oncology</title><addtitle>Mol Oncol</addtitle><description><![CDATA[Gene and protein expression of programmed death‐ligand 1 (PD‐L1) are prognostic in early breast cancer (BC), but their prognostic information is inconsistent at least in some biological subgroups. The validated prognostic gene signatures (GS) in BC are mainly based on proliferation and estrogen receptor (ER)‐related genes. Here, we aimed to explore the prognostic capacity of PD‐L1 expression at the protein vs mRNA levels and to investigate the prognostic information that PD‐L1 can potentially add to routinely used GS. Gene expression data were derived from two early BC cohorts (cohort 1: 562 patients; cohort 2: 1081 patients). Tissue microarrays from cohort 1 were immunohistochemically (IHC) stained for PD‐L1 using the SP263 clone. GS scores (21‐gene, 70‐gene) were calculated, and likelihood‐ratio (LR) tests and concordance indices were used to evaluate the additional prognostic information for each signature. The immune cell composition was also evaluated using the CIBERSORT in silico tool. PD‐L1 gene and protein expressions were independently associated with better prognosis. In ER+/HER2− patients, PD‐L1 gene expression provided significant additional prognostic information beyond that of both 21‐GS [LR‐Δχ2 = 15.289 and LR‐Δχ2 = 8.812, P < 0.01 for distant metastasis‐free interval (DMFI) in cohorts 1 and 2, respectively] and 70‐GS score alone (LR‐Δχ2 = 18.198 and LR‐Δχ2 = 8.467, P < 0.01 for DMFI in cohorts 1 and 2, respectively). PD‐L1 expression was correlated with IHC‐determined CD3+ cells (r = 0.41, P < 0.001) and with CD8+ (r = 0.62, P < 0.001) and CD4+ memory activated (r = 0.66, P < 0.001) but not with memory resting (r = −0.063, P = 0.14) or regulatory (r = −0.12, P < 0.01) T cells in silico. PD‐L1 gene expression represents a promising favorable prognostic marker and can provide additional prognostic value to 21‐ and 70‐gene scores in ER+/HER2− BC.
Programmed death‐ligand 1 (PD‐L1) immunohistochemical and gene expressions represent favorable prognostic factors in early breast cancer patients and were also associated with high immune infiltration. Furthermore, PD‐L1 gene expression provided significant additional prognostic information beyond that of both 21‐gene and 70‐gene signature scores alone in ER+/HER2− disease.]]></description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Apoptosis</subject><subject>Biomarkers</subject><subject>Biomarkers, Tumor - metabolism</subject><subject>Blood Cells - cytology</subject><subject>Blood Cells - metabolism</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - genetics</subject><subject>Breast Neoplasms - metabolism</subject><subject>Breast Neoplasms - pathology</subject><subject>Cancer therapies</subject><subject>CD3 antigen</subject><subject>CD3 Complex - metabolism</subject><subject>CD4 antigen</subject><subject>CD4 Antigens - metabolism</subject><subject>CD4-Positive T-Lymphocytes - cytology</subject><subject>CD4-Positive T-Lymphocytes - metabolism</subject><subject>CD8 antigen</subject><subject>CD8 Antigens - metabolism</subject><subject>CD8-Positive T-Lymphocytes - cytology</subject><subject>CD8-Positive T-Lymphocytes - metabolism</subject><subject>Cloning</subject><subject>Cohort Studies</subject><subject>Databases, Genetic</subject><subject>DNA microarrays</subject><subject>Epidermal growth factor</subject><subject>ErbB-2 protein</subject><subject>Estrogen receptors</subject><subject>Female</subject><subject>Gene expression</subject><subject>Gene Expression Regulation, Neoplastic - genetics</subject><subject>gene signatures</subject><subject>Genomes</subject><subject>Humans</subject><subject>Hybridization</subject><subject>Immunohistochemistry</subject><subject>L1 gene</subject><subject>Ligands</subject><subject>Lymphocytes</subject><subject>Lymphocytes T</subject><subject>Medicin och hälsovetenskap</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Middle Aged</subject><subject>Patients</subject><subject>PD-L1 protein</subject><subject>PD‐L1</subject><subject>Prognosis</subject><subject>Programmed Cell Death 1 Receptor - 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metabolism</topic><topic>Blood Cells - cytology</topic><topic>Blood Cells - metabolism</topic><topic>Breast cancer</topic><topic>Breast Neoplasms - genetics</topic><topic>Breast Neoplasms - metabolism</topic><topic>Breast Neoplasms - pathology</topic><topic>Cancer therapies</topic><topic>CD3 antigen</topic><topic>CD3 Complex - metabolism</topic><topic>CD4 antigen</topic><topic>CD4 Antigens - metabolism</topic><topic>CD4-Positive T-Lymphocytes - cytology</topic><topic>CD4-Positive T-Lymphocytes - metabolism</topic><topic>CD8 antigen</topic><topic>CD8 Antigens - metabolism</topic><topic>CD8-Positive T-Lymphocytes - cytology</topic><topic>CD8-Positive T-Lymphocytes - metabolism</topic><topic>Cloning</topic><topic>Cohort Studies</topic><topic>Databases, Genetic</topic><topic>DNA microarrays</topic><topic>Epidermal growth factor</topic><topic>ErbB-2 protein</topic><topic>Estrogen receptors</topic><topic>Female</topic><topic>Gene expression</topic><topic>Gene Expression Regulation, Neoplastic - genetics</topic><topic>gene signatures</topic><topic>Genomes</topic><topic>Humans</topic><topic>Hybridization</topic><topic>Immunohistochemistry</topic><topic>L1 gene</topic><topic>Ligands</topic><topic>Lymphocytes</topic><topic>Lymphocytes T</topic><topic>Medicin och hälsovetenskap</topic><topic>Metastases</topic><topic>Metastasis</topic><topic>Middle Aged</topic><topic>Patients</topic><topic>PD-L1 protein</topic><topic>PD‐L1</topic><topic>Prognosis</topic><topic>Programmed Cell Death 1 Receptor - genetics</topic><topic>Programmed Cell Death 1 Receptor - metabolism</topic><topic>Proportional Hazards Models</topic><topic>Protein expression</topic><topic>Proteins</topic><topic>Receptor, ErbB-2 - genetics</topic><topic>Receptor, ErbB-2 - metabolism</topic><topic>Receptors, Estrogen - genetics</topic><topic>Receptors, Estrogen - metabolism</topic><topic>RNA-Seq</topic><topic>Tissue Array Analysis</topic><topic>Tumors</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zerdes, Ioannis</creatorcontrib><creatorcontrib>Sifakis, Emmanouil G.</creatorcontrib><creatorcontrib>Matikas, Alexios</creatorcontrib><creatorcontrib>Chrétien, Sebastian</creatorcontrib><creatorcontrib>Tobin, Nicholas P.</creatorcontrib><creatorcontrib>Hartman, Johan</creatorcontrib><creatorcontrib>Rassidakis, George Z.</creatorcontrib><creatorcontrib>Bergh, Jonas</creatorcontrib><creatorcontrib>Foukakis, Theodoros</creatorcontrib><collection>Open Access: Wiley-Blackwell Open Access Journals</collection><collection>Wiley-Blackwell Open Access Backfiles (Open Access)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SwePub Articles full text</collection><collection>Directory of Open Access Journals(OpenAccess)</collection><jtitle>Molecular oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zerdes, Ioannis</au><au>Sifakis, Emmanouil G.</au><au>Matikas, Alexios</au><au>Chrétien, Sebastian</au><au>Tobin, Nicholas P.</au><au>Hartman, Johan</au><au>Rassidakis, George Z.</au><au>Bergh, Jonas</au><au>Foukakis, Theodoros</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Programmed death‐ligand 1 gene expression is a prognostic marker in early breast cancer and provides additional prognostic value to 21‐gene and 70‐gene signatures in estrogen receptor‐positive disease</atitle><jtitle>Molecular oncology</jtitle><addtitle>Mol Oncol</addtitle><date>2020-05</date><risdate>2020</risdate><volume>14</volume><issue>5</issue><spage>951</spage><epage>963</epage><pages>951-963</pages><issn>1574-7891</issn><issn>1878-0261</issn><eissn>1878-0261</eissn><abstract><![CDATA[Gene and protein expression of programmed death‐ligand 1 (PD‐L1) are prognostic in early breast cancer (BC), but their prognostic information is inconsistent at least in some biological subgroups. The validated prognostic gene signatures (GS) in BC are mainly based on proliferation and estrogen receptor (ER)‐related genes. Here, we aimed to explore the prognostic capacity of PD‐L1 expression at the protein vs mRNA levels and to investigate the prognostic information that PD‐L1 can potentially add to routinely used GS. Gene expression data were derived from two early BC cohorts (cohort 1: 562 patients; cohort 2: 1081 patients). Tissue microarrays from cohort 1 were immunohistochemically (IHC) stained for PD‐L1 using the SP263 clone. GS scores (21‐gene, 70‐gene) were calculated, and likelihood‐ratio (LR) tests and concordance indices were used to evaluate the additional prognostic information for each signature. The immune cell composition was also evaluated using the CIBERSORT in silico tool. PD‐L1 gene and protein expressions were independently associated with better prognosis. In ER+/HER2− patients, PD‐L1 gene expression provided significant additional prognostic information beyond that of both 21‐GS [LR‐Δχ2 = 15.289 and LR‐Δχ2 = 8.812, P < 0.01 for distant metastasis‐free interval (DMFI) in cohorts 1 and 2, respectively] and 70‐GS score alone (LR‐Δχ2 = 18.198 and LR‐Δχ2 = 8.467, P < 0.01 for DMFI in cohorts 1 and 2, respectively). PD‐L1 expression was correlated with IHC‐determined CD3+ cells (r = 0.41, P < 0.001) and with CD8+ (r = 0.62, P < 0.001) and CD4+ memory activated (r = 0.66, P < 0.001) but not with memory resting (r = −0.063, P = 0.14) or regulatory (r = −0.12, P < 0.01) T cells in silico. PD‐L1 gene expression represents a promising favorable prognostic marker and can provide additional prognostic value to 21‐ and 70‐gene scores in ER+/HER2− BC.
Programmed death‐ligand 1 (PD‐L1) immunohistochemical and gene expressions represent favorable prognostic factors in early breast cancer patients and were also associated with high immune infiltration. Furthermore, PD‐L1 gene expression provided significant additional prognostic information beyond that of both 21‐gene and 70‐gene signature scores alone in ER+/HER2− disease.]]></abstract><cop>United States</cop><pub>John Wiley & Sons, Inc</pub><pmid>32115850</pmid><doi>10.1002/1878-0261.12654</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-8304-2462</orcidid><orcidid>https://orcid.org/0000-0001-9919-4471</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1574-7891 |
ispartof | Molecular oncology, 2020-05, Vol.14 (5), p.951-963 |
issn | 1574-7891 1878-0261 1878-0261 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_35cba073e6ea4fa1bf36cbaeb5a2366b |
source | Open Access: Wiley-Blackwell Open Access Journals; PubMed Central Free; Publicly Available Content (ProQuest) |
subjects | Adult Aged Aged, 80 and over Apoptosis Biomarkers Biomarkers, Tumor - metabolism Blood Cells - cytology Blood Cells - metabolism Breast cancer Breast Neoplasms - genetics Breast Neoplasms - metabolism Breast Neoplasms - pathology Cancer therapies CD3 antigen CD3 Complex - metabolism CD4 antigen CD4 Antigens - metabolism CD4-Positive T-Lymphocytes - cytology CD4-Positive T-Lymphocytes - metabolism CD8 antigen CD8 Antigens - metabolism CD8-Positive T-Lymphocytes - cytology CD8-Positive T-Lymphocytes - metabolism Cloning Cohort Studies Databases, Genetic DNA microarrays Epidermal growth factor ErbB-2 protein Estrogen receptors Female Gene expression Gene Expression Regulation, Neoplastic - genetics gene signatures Genomes Humans Hybridization Immunohistochemistry L1 gene Ligands Lymphocytes Lymphocytes T Medicin och hälsovetenskap Metastases Metastasis Middle Aged Patients PD-L1 protein PD‐L1 Prognosis Programmed Cell Death 1 Receptor - genetics Programmed Cell Death 1 Receptor - metabolism Proportional Hazards Models Protein expression Proteins Receptor, ErbB-2 - genetics Receptor, ErbB-2 - metabolism Receptors, Estrogen - genetics Receptors, Estrogen - metabolism RNA-Seq Tissue Array Analysis Tumors Young Adult |
title | Programmed death‐ligand 1 gene expression is a prognostic marker in early breast cancer and provides additional prognostic value to 21‐gene and 70‐gene signatures in estrogen receptor‐positive disease |
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