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dc.creatorConroy, Jeffrey M.es
dc.creatorPabla, Sarabjotes
dc.creatorNesline, Mary K.es
dc.creatorGlenn, Sean T.es
dc.creatorPapanicolau Sengos, Antonioses
dc.creatorBurgher, Blakees
dc.creatorCruz Merino, Luis de laes
dc.creatorMorrison, Carles
dc.date.accessioned2024-03-07T18:09:36Z
dc.date.available2024-03-07T18:09:36Z
dc.date.issued2019
dc.identifier.citationConroy, J.M., Pabla, S., Nesline, M.K., Glenn, S.T., Papanicolau Sengos, A., Burgher, B.,...,Morrison, C. (2019). Next generation sequencing of PD-L1 for predicting response to immune checkpoint inhibitors. Journal of Immunotherapy of Cancer, 7 (1), 18. https://doi.org/10.1186/s40425-018-0489-5.
dc.identifier.issn2051-1426es
dc.identifier.urihttps://hdl.handle.net/11441/155952
dc.description.abstractBackground PD-L1 immunohistochemistry (IHC) has been traditionally used for predicting clinical responses to immune checkpoint inhibitors (ICIs). However, there are at least 4 different assays and antibodies used for PD-L1 IHC, each developed with a different ICI. We set to test if next generation RNA sequencing (RNA-seq) is a robust method to determine PD-L1 mRNA expression levels and furthermore, efficacy of predicting response to ICIs as compared to routinely used, standardized IHC procedures. Methods A total of 209 cancer patients treated on-label by FDA-approved ICIs, with evaluable responses were assessed for PD-L1 expression by RNA-seq and IHC, based on tumor proportion score (TPS) and immune cell staining (ICS). A subset of serially diluted cases was evaluated for RNA-seq assay performance across a broad range of PD-L1 expression levels. Results Assessment of PD-L1 mRNA levels by RNA-seq demonstrated robust linearity across high and low expression ranges. PD-L1 mRNA levels assessed by RNA-seq and IHC (TPS and ICS) were highly correlated (p < 2e-16). Sub-analyses showed sustained correlation when IHC results were classified as high or low by clinically accepted cut-offs (p < 0.01), and results did not differ by tumor type or anti-PD-L1 antibody used. Overall, a combined positive PD-L1 result (≥1% IHC TPS and high PD-L1 expression by RNA-Seq) was associated with a 2-to-5-fold higher overall response rate (ORR) compared to a double negative result. Standard assessments of sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) showed that a PD-L1 positive assessment for melanoma samples by RNA-seq had the lowest sensitivity (25%) but the highest PPV (72.7%). Among the three tumor types analyzed in this study, the only non-overlapping confidence interval for predicting response was for “RNA-seq low vs high” in melanoma. Conclusions Measurement of PD-L1 mRNA expression by RNA-seq is comparable to PD-L1 expression by IHC both analytically and clinically in predicting ICI response. RNA-seq has the added advantages of being amenable to standardization and avoidance of interpretation bias. PD-L1 by RNA-seq needs to be validated in future prospective ICI clinical studies across multiple histologies.es
dc.formatapplication/pdfes
dc.format.extent11 p.es
dc.language.isoenges
dc.publisherBMCes
dc.relation.ispartofJournal of Immunotherapy of Cancer, 7 (1), 18.
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectAtezolizumabes
dc.subjectAvelumabes
dc.subjectCancer immunotherapyes
dc.subjectDurvalumabes
dc.subjectNivolumabes
dc.subjectPembrolizumabes
dc.subjectPD-L1es
dc.subjectBiomarkeres
dc.titleNext generation sequencing of PD-L1 for predicting response to immune checkpoint inhibitorses
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Medicinaes
dc.relation.publisherversionhttps://jitc.bmj.com/content/7/1/18es
dc.identifier.doi10.1186/s40425-018-0489-5es
dc.contributor.groupUniversidad de Sevilla. CTS151: Bioquímica médica.es
dc.journaltitleJournal of Immunotherapy of Canceres
dc.publication.volumen7es
dc.publication.issue1es
dc.publication.initialPage18es

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