1. Next generation sequencing of PD-L1 for predicting response to immune checkpoint inhibitors
- Author
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Jeffrey M. Conroy, Sarabjot Pabla, Mary K. Nesline, Sean T. Glenn, Antonios Papanicolau-Sengos, Blake Burgher, Jonathan Andreas, Vincent Giamo, Yirong Wang, Felicia L. Lenzo, Wiam Bshara, Maya Khalil, Grace K. Dy, Katherine G. Madden, Keisuke Shirai, Konstantin Dragnev, Laura J. Tafe, Jason Zhu, Matthew Labriola, Daniele Marin, Shannon J. McCall, Jeffrey Clarke, Daniel J. George, Tian Zhang, Matthew Zibelman, Pooja Ghatalia, Isabel Araujo-Fernandez, Luis de la Cruz-Merino, Arun Singavi, Ben George, Alexander C. MacKinnon, Jonathan Thompson, Rajbir Singh, Robin Jacob, Deepa Kasuganti, Neel Shah, Roger Day, Lorenzo Galluzzi, Mark Gardner, and Carl Morrison
- Subjects
Atezolizumab ,Avelumab ,cancer immunotherapy ,Durvalumab ,Nivolumab ,Pembrolizumab ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
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
- Published
- 2019
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