Publication: Next generation sequencing of PD-L1 for predicting response to immune checkpoint inhibitors.
dc.contributor.author | Conroy, Jeffrey M | |
dc.contributor.author | Pabla, Sarabjot | |
dc.contributor.author | Nesline, Mary K | |
dc.contributor.author | Glenn, Sean T | |
dc.contributor.author | Papanicolau-Sengos, Antonios | |
dc.contributor.author | Burgher, Blake | |
dc.contributor.author | Andreas, Jonathan | |
dc.contributor.author | Giamo, Vincent | |
dc.contributor.author | Wang, Yirong | |
dc.contributor.author | Lenzo, Felicia L | |
dc.contributor.author | Bshara, Wiam | |
dc.contributor.author | Khalil, Maya | |
dc.contributor.author | Dy, Grace K | |
dc.contributor.author | Madden, Katherine G | |
dc.contributor.author | Shirai, Keisuke | |
dc.contributor.author | Dragnev, Konstantin | |
dc.contributor.author | Tafe, Laura J | |
dc.contributor.author | Zhu, Jason | |
dc.contributor.author | Labriola, Matthew | |
dc.contributor.author | Marin, Daniele | |
dc.contributor.author | McCall, Shannon J | |
dc.contributor.author | Clarke, Jeffrey | |
dc.contributor.author | George, Daniel J | |
dc.contributor.author | Zhang, Tian | |
dc.contributor.author | Zibelman, Matthew | |
dc.contributor.author | Ghatalia, Pooja | |
dc.contributor.author | Araujo-Fernandez, Isabel | |
dc.contributor.author | de la Cruz-Merino, Luis | |
dc.contributor.author | Singavi, Arun | |
dc.contributor.author | George, Ben | |
dc.contributor.author | MacKinnon, Alexander C | |
dc.contributor.author | Thompson, Jonathan | |
dc.contributor.author | Singh, Rajbir | |
dc.contributor.author | Jacob, Robin | |
dc.contributor.author | Kasuganti, Deepa | |
dc.contributor.author | Shah, Neel | |
dc.contributor.author | Day, Roger | |
dc.contributor.author | Galluzzi, Lorenzo | |
dc.contributor.author | Gardner, Mark | |
dc.contributor.author | Morrison, Carl | |
dc.date.accessioned | 2023-01-25T10:28:51Z | |
dc.date.available | 2023-01-25T10:28:51Z | |
dc.date.issued | 2019-01-24 | |
dc.description.abstract | 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. 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. 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 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. | |
dc.identifier.doi | 10.1186/s40425-018-0489-5 | |
dc.identifier.essn | 2051-1426 | |
dc.identifier.pmc | PMC6346512 | |
dc.identifier.pmid | 30678715 | |
dc.identifier.pubmedURL | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6346512/pdf | |
dc.identifier.unpaywallURL | https://jitc.bmj.com/content/jitc/7/1/18.full.pdf | |
dc.identifier.uri | http://hdl.handle.net/10668/13457 | |
dc.issue.number | 1 | |
dc.journal.title | Journal for immunotherapy of cancer | |
dc.journal.titleabbreviation | J Immunother Cancer | |
dc.language.iso | en | |
dc.organization | Hospital Universitario Virgen del Rocío | |
dc.organization | Hospital Universitario Virgen Macarena | |
dc.page.number | 18 | |
dc.pubmedtype | Journal Article | |
dc.pubmedtype | Research Support, Non-U.S. Gov't | |
dc.rights | Attribution 4.0 International | |
dc.rights.accessRights | open access | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Atezolizumab | |
dc.subject | Avelumab | |
dc.subject | Biomarker | |
dc.subject | Durvalumab | |
dc.subject | Nivolumab | |
dc.subject | PD-L1 | |
dc.subject | Pembrolizumab | |
dc.subject | cancer immunotherapy | |
dc.subject.mesh | Antineoplastic Agents, Immunological | |
dc.subject.mesh | B7-H1 Antigen | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Immunohistochemistry | |
dc.subject.mesh | Neoplasms | |
dc.subject.mesh | RNA, Messenger | |
dc.subject.mesh | RNA-Seq | |
dc.title | Next generation sequencing of PD-L1 for predicting response to immune checkpoint inhibitors. | |
dc.type | research article | |
dc.type.hasVersion | VoR | |
dc.volume.number | 7 | |
dspace.entity.type | Publication |
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