Optimal PD-L1-high cutoff for association with overall survival in patients with urothelial cancer treated with durvalumab monotherapy
Studies have indicated that programmed death ligand 1 (PD-L1) expression may have utility as a predictive biomarker in patients with advanced/metastatic urothelial carcinoma (UC). Different immunohistochemical (IHC) assays are in development to assess PD-L1 expression on tumor cells (TCs) and tumor-...
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description | Studies have indicated that programmed death ligand 1 (PD-L1) expression may have utility as a predictive biomarker in patients with advanced/metastatic urothelial carcinoma (UC). Different immunohistochemical (IHC) assays are in development to assess PD-L1 expression on tumor cells (TCs) and tumor-infiltrating immune cells (ICs).
In this post hoc analysis of the single-arm, phase 1/2 Study 1108 (NCT01693562), PD-L1 expression was evaluated from tumor samples obtained prior to second-line treatment with durvalumab in patients with advanced/metastatic UC using the VENTANA (SP263) IHC Assay. The primary objective was to determine whether the TC ≥ 25%/IC ≥ 25% algorithm (i.e., cutoff of ≥ 25% TC or ≥ 25% IC with PD-L1 staining at any intensity above background) was optimal for predicting response to durvalumab. PD-L1 expression data were available from 188 patients.
After a median follow-up of 15.8 and 14.6 months, higher PD-L1 expression was associated with longer overall survival (OS) and progression-free survival (PFS), respectively, with significant separation in survival curves for PD-L1-high and-low expressing patients for the TC ≥ 25%/IC ≥ 25% cutoff (median OS: 19.8 vs 4.8 months; hazard ratio: 0.46; 90% confidence interval: 0.33, 0.639). OS was also prolonged for PD-L1-high compared with-low patients when samples were categorized using TC/IC combined positive score ≥ 10 and IC≥ 5% cutoffs. In multivariate analysis, IC but not TC PD-L1 expression was significantly associated with OS, PFS, and objective response rate (P < 0.001 for each), although interaction analysis showed similar directionality of benefit for ICs and TCs.
These findings support the utility of a combined TC/IC algorithm for predicting response to durvalumab in patients with UC, with the TC≥ 25%/IC≥ 25% cutoff optimal when used with the VENTANA (SP263) IHC Assay. |
doi_str_mv | 10.1371/journal.pone.0231936 |
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In this post hoc analysis of the single-arm, phase 1/2 Study 1108 (NCT01693562), PD-L1 expression was evaluated from tumor samples obtained prior to second-line treatment with durvalumab in patients with advanced/metastatic UC using the VENTANA (SP263) IHC Assay. The primary objective was to determine whether the TC ≥ 25%/IC ≥ 25% algorithm (i.e., cutoff of ≥ 25% TC or ≥ 25% IC with PD-L1 staining at any intensity above background) was optimal for predicting response to durvalumab. PD-L1 expression data were available from 188 patients.
After a median follow-up of 15.8 and 14.6 months, higher PD-L1 expression was associated with longer overall survival (OS) and progression-free survival (PFS), respectively, with significant separation in survival curves for PD-L1-high and-low expressing patients for the TC ≥ 25%/IC ≥ 25% cutoff (median OS: 19.8 vs 4.8 months; hazard ratio: 0.46; 90% confidence interval: 0.33, 0.639). OS was also prolonged for PD-L1-high compared with-low patients when samples were categorized using TC/IC combined positive score ≥ 10 and IC≥ 5% cutoffs. In multivariate analysis, IC but not TC PD-L1 expression was significantly associated with OS, PFS, and objective response rate (P < 0.001 for each), although interaction analysis showed similar directionality of benefit for ICs and TCs.
These findings support the utility of a combined TC/IC algorithm for predicting response to durvalumab in patients with UC, with the TC≥ 25%/IC≥ 25% cutoff optimal when used with the VENTANA (SP263) IHC Assay.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0231936</identifier><identifier>PMID: 32339189</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Algorithms ; Analysis ; Apoptosis ; Assaying ; Biology and Life Sciences ; Biomarkers ; Bladder cancer ; Cancer ; Cancer patients ; Cancer therapies ; Carcinoma ; Care and treatment ; Chemotherapy ; Confidence intervals ; Durvalumab ; FDA approval ; Immune system ; Immunotherapy ; Ligands ; Medical equipment industry ; Medical research ; Medicine and Health Sciences ; Metastases ; Metastasis ; Monoclonal antibodies ; Multivariate analysis ; Patient outcomes ; Patients ; PD-L1 protein ; Pharmaceutical industry ; Physical Sciences ; Research and Analysis Methods ; Studies ; Survival ; Targeted cancer therapy ; Tumor cells ; Tumor-infiltrating lymphocytes ; Tumors ; Urothelial cancer ; Urothelial carcinoma</subject><ispartof>PloS one, 2020-04, Vol.15 (4), p.e0231936-e0231936</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Zajac et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Zajac et al 2020 Zajac et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-a2e2557e103434105f811222528a62042bc2d21856cdfe09ab68d191fa0bd1af3</citedby><cites>FETCH-LOGICAL-c692t-a2e2557e103434105f811222528a62042bc2d21856cdfe09ab68d191fa0bd1af3</cites><orcidid>0000-0001-7943-583X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7185603/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7185603/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32339189$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Kang, Hyunseok</contributor><creatorcontrib>Zajac, Magdalena</creatorcontrib><creatorcontrib>Ye, Jiabu</creatorcontrib><creatorcontrib>Mukhopadhyay, Pralay</creatorcontrib><creatorcontrib>Jin, Xiaoping</creatorcontrib><creatorcontrib>Ben, Yong</creatorcontrib><creatorcontrib>Antal, Joyce</creatorcontrib><creatorcontrib>Gupta, Ashok K</creatorcontrib><creatorcontrib>Rebelatto, Marlon C</creatorcontrib><creatorcontrib>Williams, J Andrew</creatorcontrib><creatorcontrib>Walker, Jill</creatorcontrib><title>Optimal PD-L1-high cutoff for association with overall survival in patients with urothelial cancer treated with durvalumab monotherapy</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Studies have indicated that programmed death ligand 1 (PD-L1) expression may have utility as a predictive biomarker in patients with advanced/metastatic urothelial carcinoma (UC). Different immunohistochemical (IHC) assays are in development to assess PD-L1 expression on tumor cells (TCs) and tumor-infiltrating immune cells (ICs).
In this post hoc analysis of the single-arm, phase 1/2 Study 1108 (NCT01693562), PD-L1 expression was evaluated from tumor samples obtained prior to second-line treatment with durvalumab in patients with advanced/metastatic UC using the VENTANA (SP263) IHC Assay. The primary objective was to determine whether the TC ≥ 25%/IC ≥ 25% algorithm (i.e., cutoff of ≥ 25% TC or ≥ 25% IC with PD-L1 staining at any intensity above background) was optimal for predicting response to durvalumab. PD-L1 expression data were available from 188 patients.
After a median follow-up of 15.8 and 14.6 months, higher PD-L1 expression was associated with longer overall survival (OS) and progression-free survival (PFS), respectively, with significant separation in survival curves for PD-L1-high and-low expressing patients for the TC ≥ 25%/IC ≥ 25% cutoff (median OS: 19.8 vs 4.8 months; hazard ratio: 0.46; 90% confidence interval: 0.33, 0.639). OS was also prolonged for PD-L1-high compared with-low patients when samples were categorized using TC/IC combined positive score ≥ 10 and IC≥ 5% cutoffs. In multivariate analysis, IC but not TC PD-L1 expression was significantly associated with OS, PFS, and objective response rate (P < 0.001 for each), although interaction analysis showed similar directionality of benefit for ICs and TCs.
These findings support the utility of a combined TC/IC algorithm for predicting response to durvalumab in patients with UC, with the TC≥ 25%/IC≥ 25% cutoff optimal when used with the VENTANA (SP263) IHC Assay.</description><subject>Algorithms</subject><subject>Analysis</subject><subject>Apoptosis</subject><subject>Assaying</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Bladder cancer</subject><subject>Cancer</subject><subject>Cancer patients</subject><subject>Cancer therapies</subject><subject>Carcinoma</subject><subject>Care and treatment</subject><subject>Chemotherapy</subject><subject>Confidence intervals</subject><subject>Durvalumab</subject><subject>FDA approval</subject><subject>Immune system</subject><subject>Immunotherapy</subject><subject>Ligands</subject><subject>Medical equipment industry</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Monoclonal antibodies</subject><subject>Multivariate analysis</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>PD-L1 protein</subject><subject>Pharmaceutical industry</subject><subject>Physical Sciences</subject><subject>Research and Analysis Methods</subject><subject>Studies</subject><subject>Survival</subject><subject>Targeted cancer therapy</subject><subject>Tumor cells</subject><subject>Tumor-infiltrating lymphocytes</subject><subject>Tumors</subject><subject>Urothelial cancer</subject><subject>Urothelial 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PD-L1-high cutoff for association with overall survival in patients with urothelial cancer treated with durvalumab monotherapy</title><author>Zajac, Magdalena ; Ye, Jiabu ; Mukhopadhyay, Pralay ; Jin, Xiaoping ; Ben, Yong ; Antal, Joyce ; Gupta, Ashok K ; Rebelatto, Marlon C ; Williams, J Andrew ; Walker, Jill</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-a2e2557e103434105f811222528a62042bc2d21856cdfe09ab68d191fa0bd1af3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Analysis</topic><topic>Apoptosis</topic><topic>Assaying</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Bladder cancer</topic><topic>Cancer</topic><topic>Cancer patients</topic><topic>Cancer therapies</topic><topic>Carcinoma</topic><topic>Care and treatment</topic><topic>Chemotherapy</topic><topic>Confidence 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Jiabu</au><au>Mukhopadhyay, Pralay</au><au>Jin, Xiaoping</au><au>Ben, Yong</au><au>Antal, Joyce</au><au>Gupta, Ashok K</au><au>Rebelatto, Marlon C</au><au>Williams, J Andrew</au><au>Walker, Jill</au><au>Kang, Hyunseok</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimal PD-L1-high cutoff for association with overall survival in patients with urothelial cancer treated with durvalumab monotherapy</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-04-27</date><risdate>2020</risdate><volume>15</volume><issue>4</issue><spage>e0231936</spage><epage>e0231936</epage><pages>e0231936-e0231936</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Studies have indicated that programmed death ligand 1 (PD-L1) expression may have utility as a predictive biomarker in patients with advanced/metastatic urothelial carcinoma (UC). Different immunohistochemical (IHC) assays are in development to assess PD-L1 expression on tumor cells (TCs) and tumor-infiltrating immune cells (ICs).
In this post hoc analysis of the single-arm, phase 1/2 Study 1108 (NCT01693562), PD-L1 expression was evaluated from tumor samples obtained prior to second-line treatment with durvalumab in patients with advanced/metastatic UC using the VENTANA (SP263) IHC Assay. The primary objective was to determine whether the TC ≥ 25%/IC ≥ 25% algorithm (i.e., cutoff of ≥ 25% TC or ≥ 25% IC with PD-L1 staining at any intensity above background) was optimal for predicting response to durvalumab. PD-L1 expression data were available from 188 patients.
After a median follow-up of 15.8 and 14.6 months, higher PD-L1 expression was associated with longer overall survival (OS) and progression-free survival (PFS), respectively, with significant separation in survival curves for PD-L1-high and-low expressing patients for the TC ≥ 25%/IC ≥ 25% cutoff (median OS: 19.8 vs 4.8 months; hazard ratio: 0.46; 90% confidence interval: 0.33, 0.639). OS was also prolonged for PD-L1-high compared with-low patients when samples were categorized using TC/IC combined positive score ≥ 10 and IC≥ 5% cutoffs. In multivariate analysis, IC but not TC PD-L1 expression was significantly associated with OS, PFS, and objective response rate (P < 0.001 for each), although interaction analysis showed similar directionality of benefit for ICs and TCs.
These findings support the utility of a combined TC/IC algorithm for predicting response to durvalumab in patients with UC, with the TC≥ 25%/IC≥ 25% cutoff optimal when used with the VENTANA (SP263) IHC Assay.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32339189</pmid><doi>10.1371/journal.pone.0231936</doi><tpages>e0231936</tpages><orcidid>https://orcid.org/0000-0001-7943-583X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Analysis Apoptosis Assaying Biology and Life Sciences Biomarkers Bladder cancer Cancer Cancer patients Cancer therapies Carcinoma Care and treatment Chemotherapy Confidence intervals Durvalumab FDA approval Immune system Immunotherapy Ligands Medical equipment industry Medical research Medicine and Health Sciences Metastases Metastasis Monoclonal antibodies Multivariate analysis Patient outcomes Patients PD-L1 protein Pharmaceutical industry Physical Sciences Research and Analysis Methods Studies Survival Targeted cancer therapy Tumor cells Tumor-infiltrating lymphocytes Tumors Urothelial cancer Urothelial carcinoma |
title | Optimal PD-L1-high cutoff for association with overall survival in patients with urothelial cancer treated with durvalumab monotherapy |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T12%3A48%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Optimal%20PD-L1-high%20cutoff%20for%20association%20with%20overall%20survival%20in%20patients%20with%20urothelial%20cancer%20treated%20with%20durvalumab%20monotherapy&rft.jtitle=PloS%20one&rft.au=Zajac,%20Magdalena&rft.date=2020-04-27&rft.volume=15&rft.issue=4&rft.spage=e0231936&rft.epage=e0231936&rft.pages=e0231936-e0231936&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0231936&rft_dat=%3Cgale_plos_%3EA622117155%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2395249258&rft_id=info:pmid/32339189&rft_galeid=A622117155&rft_doaj_id=oai_doaj_org_article_796cbdd538a5493794df55e8aa3a8465&rfr_iscdi=true |