Pan-cancer analysis of CD274 (PD-L1) mutations in 314,631 patient samples and subset correlation with PD-L1 protein expression

Background The effects of non-amplification short variant (SV) mutations in CD274 (programmed death-ligand 1 (PD-L1)) on PD-L1 protein expression and immune checkpoint inhibitors (ICPIs) therapy are unknown. Here, we present a retrospective analysis of CD274 mutations detected by comprehensive genom...

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Main Authors: Brennan Decker, Richard S.P. Huang, Karthikeyan Murugesan, Douglas A. Mata, Jeffrey S. Ross, Matthew Hiemenz, Gerald Li, James Creeden, Shakti H. Ramkissoon
Format: Article
Language:English
Published: BMJ Publishing Group 2021-06-01
Series:Journal for ImmunoTherapy of Cancer
Online Access:https://jitc.bmj.com/content/9/6/e002558.full
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spelling doaj-d546e90affe6487c957e5d5b6692baea2021-08-01T11:30:41ZengBMJ Publishing GroupJournal for ImmunoTherapy of Cancer2051-14262021-06-019610.1136/jitc-2021-002558Pan-cancer analysis of CD274 (PD-L1) mutations in 314,631 patient samples and subset correlation with PD-L1 protein expressionBrennan Decker0Richard S.P. Huang1Karthikeyan Murugesan2Douglas A. Mata3Jeffrey S. Ross4Matthew Hiemenz5Gerald Li6James Creeden7Shakti H. Ramkissoon8Foundation Medicine Inc, Cambridge, Massachusetts, USAFoundation Medicine Inc, Cambridge, Massachusetts, USAFoundation Medicine Inc, Cambridge, Massachusetts, USAFoundation Medicine Inc, Cambridge, Massachusetts, USAFoundation Medicine Inc, Cambridge, Massachusetts, USAFoundation Medicine Inc, Cambridge, Massachusetts, USAFoundation Medicine Inc, Cambridge, Massachusetts, USAFoundation Medicine Inc, Cambridge, Massachusetts, USAFoundation Medicine Inc, Cambridge, Massachusetts, USABackground The effects of non-amplification short variant (SV) mutations in CD274 (programmed death-ligand 1 (PD-L1)) on PD-L1 protein expression and immune checkpoint inhibitors (ICPIs) therapy are unknown. Here, we present a retrospective analysis of CD274 mutations detected by comprehensive genomic profiling (CGP) and correlate these results with tumor-cell PD-L1 immunohistochemistry (IHC)-based expression assessment to better understand the relationship between mutations and protein expression of PD-L1.Methods CGP was performed on hybridization-captured, adaptor ligation-based libraries using DNA and/or RNA extracted from 314,631 tumor samples that were sequenced for up to 406 cancer-related genes and select gene rearrangements. PD-L1 IHC was performed on a subset of cases (n=58,341) using the DAKO 22C3 PD-L1 IHC assay and scored with the tumor proportion score (TPS).Results Overall, the prevalence of CD274 SV mutations was low (0.3%, 1081/314,631) with 577 unique variants. The most common CD274 SV mutations were R260H (n=51), R260C (n=18), R125Q (n=12), C272fs*13 (n=11), R86W (n=10), and R113H (n=10). The prevalence of CD274 mutations varied depending on tumor type with diffuse large B-cell lymphoma (1.9%, 19/997), cutaneous squamous cell carcinoma (1.6%, 14/868), endometrial adenocarcinoma (1.0%, 36/3740), unknown primary melanoma (0.9%, 33/3679), and cutaneous melanoma (0.8%, 32/3874) having the highest frequency of mutations. Of the R260H cases concurrently tested with PD-L1 IHC, most (81.8%, 9/11) had no PD-L1 expression, which contrasts to the five E237K cases where most (80%, 4/5) had PD-L1 expression. In addition, we saw a significantly lower level of PD-L1 expression in samples with a clonal truncating variant (nonsense or frameshift indel) when compared with samples with a subclonal truncating variants (mean: TPS=1 vs TPS=38; p<0.001), and also in clonal versus subclonal missense mutations (mean: TPS=11 vs TPS=22, respectively; p=0.049)Conclusions We defined the landscape of CD274 mutations in a large cohort of tumor types that can be used as a reference for examining CD274 mutations as potential resistance biomarkers for ICPI. Furthermore, we presented novel data on the correlation of CD274 mutations and PD-L1 protein expression, providing important new information on the potential functionality of these mutations and can serve as a basis for future research.https://jitc.bmj.com/content/9/6/e002558.full
collection DOAJ
language English
format Article
sources DOAJ
author Brennan Decker
Richard S.P. Huang
Karthikeyan Murugesan
Douglas A. Mata
Jeffrey S. Ross
Matthew Hiemenz
Gerald Li
James Creeden
Shakti H. Ramkissoon
spellingShingle Brennan Decker
Richard S.P. Huang
Karthikeyan Murugesan
Douglas A. Mata
Jeffrey S. Ross
Matthew Hiemenz
Gerald Li
James Creeden
Shakti H. Ramkissoon
Pan-cancer analysis of CD274 (PD-L1) mutations in 314,631 patient samples and subset correlation with PD-L1 protein expression
Journal for ImmunoTherapy of Cancer
author_facet Brennan Decker
Richard S.P. Huang
Karthikeyan Murugesan
Douglas A. Mata
Jeffrey S. Ross
Matthew Hiemenz
Gerald Li
James Creeden
Shakti H. Ramkissoon
author_sort Brennan Decker
title Pan-cancer analysis of CD274 (PD-L1) mutations in 314,631 patient samples and subset correlation with PD-L1 protein expression
title_short Pan-cancer analysis of CD274 (PD-L1) mutations in 314,631 patient samples and subset correlation with PD-L1 protein expression
title_full Pan-cancer analysis of CD274 (PD-L1) mutations in 314,631 patient samples and subset correlation with PD-L1 protein expression
title_fullStr Pan-cancer analysis of CD274 (PD-L1) mutations in 314,631 patient samples and subset correlation with PD-L1 protein expression
title_full_unstemmed Pan-cancer analysis of CD274 (PD-L1) mutations in 314,631 patient samples and subset correlation with PD-L1 protein expression
title_sort pan-cancer analysis of cd274 (pd-l1) mutations in 314,631 patient samples and subset correlation with pd-l1 protein expression
publisher BMJ Publishing Group
series Journal for ImmunoTherapy of Cancer
issn 2051-1426
publishDate 2021-06-01
description Background The effects of non-amplification short variant (SV) mutations in CD274 (programmed death-ligand 1 (PD-L1)) on PD-L1 protein expression and immune checkpoint inhibitors (ICPIs) therapy are unknown. Here, we present a retrospective analysis of CD274 mutations detected by comprehensive genomic profiling (CGP) and correlate these results with tumor-cell PD-L1 immunohistochemistry (IHC)-based expression assessment to better understand the relationship between mutations and protein expression of PD-L1.Methods CGP was performed on hybridization-captured, adaptor ligation-based libraries using DNA and/or RNA extracted from 314,631 tumor samples that were sequenced for up to 406 cancer-related genes and select gene rearrangements. PD-L1 IHC was performed on a subset of cases (n=58,341) using the DAKO 22C3 PD-L1 IHC assay and scored with the tumor proportion score (TPS).Results Overall, the prevalence of CD274 SV mutations was low (0.3%, 1081/314,631) with 577 unique variants. The most common CD274 SV mutations were R260H (n=51), R260C (n=18), R125Q (n=12), C272fs*13 (n=11), R86W (n=10), and R113H (n=10). The prevalence of CD274 mutations varied depending on tumor type with diffuse large B-cell lymphoma (1.9%, 19/997), cutaneous squamous cell carcinoma (1.6%, 14/868), endometrial adenocarcinoma (1.0%, 36/3740), unknown primary melanoma (0.9%, 33/3679), and cutaneous melanoma (0.8%, 32/3874) having the highest frequency of mutations. Of the R260H cases concurrently tested with PD-L1 IHC, most (81.8%, 9/11) had no PD-L1 expression, which contrasts to the five E237K cases where most (80%, 4/5) had PD-L1 expression. In addition, we saw a significantly lower level of PD-L1 expression in samples with a clonal truncating variant (nonsense or frameshift indel) when compared with samples with a subclonal truncating variants (mean: TPS=1 vs TPS=38; p<0.001), and also in clonal versus subclonal missense mutations (mean: TPS=11 vs TPS=22, respectively; p=0.049)Conclusions We defined the landscape of CD274 mutations in a large cohort of tumor types that can be used as a reference for examining CD274 mutations as potential resistance biomarkers for ICPI. Furthermore, we presented novel data on the correlation of CD274 mutations and PD-L1 protein expression, providing important new information on the potential functionality of these mutations and can serve as a basis for future research.
url https://jitc.bmj.com/content/9/6/e002558.full
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