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Next generation sequencing of PD-L1 for predicting response to immune checkpoint inhibitors.


ABSTRACT: BACKGROUND: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.

SUBMITTER: Conroy JM 

PROVIDER: S-EPMC6346512 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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Next generation sequencing of PD-L1 for predicting response to immune checkpoint inhibitors.

Conroy Jeffrey M JM   Pabla Sarabjot S   Nesline Mary K MK   Glenn Sean T ST   Papanicolau-Sengos Antonios A   Burgher Blake B   Andreas Jonathan J   Giamo Vincent V   Wang Yirong Y   Lenzo Felicia L FL   Bshara Wiam W   Khalil Maya M   Dy Grace K GK   Madden Katherine G KG   Shirai Keisuke K   Dragnev Konstantin K   Tafe Laura J LJ   Zhu Jason J   Labriola Matthew M   Marin Daniele D   McCall Shannon J SJ   Clarke Jeffrey J   George Daniel J DJ   Zhang Tian T   Zibelman Matthew M   Ghatalia Pooja P   Araujo-Fernandez Isabel I   de la Cruz-Merino Luis L   Singavi Arun A   George Ben B   MacKinnon Alexander C AC   Thompson Jonathan J   Singh Rajbir R   Jacob Robin R   Kasuganti Deepa D   Shah Neel N   Day Roger R   Galluzzi Lorenzo L   Gardner Mark M   Morrison Carl C  

Journal for immunotherapy of cancer 20190124 1


<h4>Background</h4>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 pr  ...[more]

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