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


Journal

Journal for immunotherapy of cancer
ISSN: 2051-1426
Titre abrégé: J Immunother Cancer
Pays: England
ID NLM: 101620585

Informations de publication

Date de publication:
24 01 2019
Historique:
received: 06 09 2018
accepted: 19 12 2018
entrez: 26 1 2019
pubmed: 27 1 2019
medline: 2 4 2020
Statut: epublish

Résumé

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 < 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. 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.

Sections du résumé

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.

Identifiants

pubmed: 30678715
doi: 10.1186/s40425-018-0489-5
pii: 10.1186/s40425-018-0489-5
pmc: PMC6346512
doi:

Substances chimiques

Antineoplastic Agents, Immunological 0
B7-H1 Antigen 0
CD274 protein, human 0
RNA, Messenger 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

18

Subventions

Organisme : NCI NIH HHS
ID : P30 CA014236
Pays : United States

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Auteurs

Jeffrey M Conroy (JM)

OmniSeq, Inc., 700 Ellicott Street, Buffalo, NY, 14203, USA.
Roswell Park Comprehensive Cancer Center, Elm and Carlton Streets, Buffalo, NY, 14263, USA.

Sarabjot Pabla (S)

OmniSeq, Inc., 700 Ellicott Street, Buffalo, NY, 14203, USA.

Mary K Nesline (MK)

OmniSeq, Inc., 700 Ellicott Street, Buffalo, NY, 14203, USA.

Sean T Glenn (ST)

OmniSeq, Inc., 700 Ellicott Street, Buffalo, NY, 14203, USA.
Roswell Park Comprehensive Cancer Center, Elm and Carlton Streets, Buffalo, NY, 14263, USA.

Antonios Papanicolau-Sengos (A)

OmniSeq, Inc., 700 Ellicott Street, Buffalo, NY, 14203, USA.

Blake Burgher (B)

OmniSeq, Inc., 700 Ellicott Street, Buffalo, NY, 14203, USA.

Jonathan Andreas (J)

OmniSeq, Inc., 700 Ellicott Street, Buffalo, NY, 14203, USA.

Vincent Giamo (V)

OmniSeq, Inc., 700 Ellicott Street, Buffalo, NY, 14203, USA.

Yirong Wang (Y)

OmniSeq, Inc., 700 Ellicott Street, Buffalo, NY, 14203, USA.

Felicia L Lenzo (FL)

OmniSeq, Inc., 700 Ellicott Street, Buffalo, NY, 14203, USA.

Wiam Bshara (W)

Roswell Park Comprehensive Cancer Center, Elm and Carlton Streets, Buffalo, NY, 14263, USA.

Maya Khalil (M)

Roswell Park Comprehensive Cancer Center, Elm and Carlton Streets, Buffalo, NY, 14263, USA.

Grace K Dy (GK)

Roswell Park Comprehensive Cancer Center, Elm and Carlton Streets, Buffalo, NY, 14263, USA.

Katherine G Madden (KG)

Dartmouth-Hitchcock Medical Center, Lebanon, NH, 03756, USA.

Keisuke Shirai (K)

Dartmouth-Hitchcock Medical Center, Lebanon, NH, 03756, USA.

Konstantin Dragnev (K)

Dartmouth-Hitchcock Medical Center, Lebanon, NH, 03756, USA.

Laura J Tafe (LJ)

Dartmouth-Hitchcock Medical Center, Lebanon, NH, 03756, USA.

Jason Zhu (J)

Duke University Medical Center, 905 S. Lasalle Street, Durham, NC, 27710, USA.

Matthew Labriola (M)

Duke University Medical Center, 905 S. Lasalle Street, Durham, NC, 27710, USA.

Daniele Marin (D)

Duke University Medical Center, 905 S. Lasalle Street, Durham, NC, 27710, USA.

Shannon J McCall (SJ)

Duke University Medical Center, 905 S. Lasalle Street, Durham, NC, 27710, USA.

Jeffrey Clarke (J)

Duke University Medical Center, 905 S. Lasalle Street, Durham, NC, 27710, USA.

Daniel J George (DJ)

Duke University Medical Center, 905 S. Lasalle Street, Durham, NC, 27710, USA.

Tian Zhang (T)

Duke University Medical Center, 905 S. Lasalle Street, Durham, NC, 27710, USA.

Matthew Zibelman (M)

Fox Chase Cancer Center, 333 Cottman Ave, Philadelphia, PA, 19111, USA.

Pooja Ghatalia (P)

Fox Chase Cancer Center, 333 Cottman Ave, Philadelphia, PA, 19111, USA.

Isabel Araujo-Fernandez (I)

Hospital Universitario Virgen Macarena, 41009, Sevilla, Spain.

Luis de la Cruz-Merino (L)

Hospital Universitario Virgen Macarena, 41009, Sevilla, Spain.

Arun Singavi (A)

Medical College of Wisconsin, 8701 W Watertown Plank Rd, Milwaukee, WI, 53226, USA.

Ben George (B)

Medical College of Wisconsin, 8701 W Watertown Plank Rd, Milwaukee, WI, 53226, USA.

Alexander C MacKinnon (AC)

Medical College of Wisconsin, 8701 W Watertown Plank Rd, Milwaukee, WI, 53226, USA.

Jonathan Thompson (J)

Medical College of Wisconsin, 8701 W Watertown Plank Rd, Milwaukee, WI, 53226, USA.

Rajbir Singh (R)

Meharry Medical College, 1005 Dr DB Todd Jr Blvd, Nashville, TN, 37208, USA.

Robin Jacob (R)

Meharry Medical College, 1005 Dr DB Todd Jr Blvd, Nashville, TN, 37208, USA.

Deepa Kasuganti (D)

Community Hospital, Munster, IN, 46321, USA.

Neel Shah (N)

Community Hospital, Munster, IN, 46321, USA.

Roger Day (R)

University of Pittsburgh, Pittsburgh, PA, 15213, USA.

Lorenzo Galluzzi (L)

Department of Radiation Oncology, Weill Cornell Medical College, New York, NY, 10065, USA.
Sandra and Edward Meyer Cancer Center, New York, NY, 10065, USA.
Université Paris Descartes/Paris V, 75006, Paris, France.

Mark Gardner (M)

OmniSeq, Inc., 700 Ellicott Street, Buffalo, NY, 14203, USA.

Carl Morrison (C)

OmniSeq, Inc., 700 Ellicott Street, Buffalo, NY, 14203, USA. Carl.Morrison@roswellpark.org.
Roswell Park Comprehensive Cancer Center, Elm and Carlton Streets, Buffalo, NY, 14263, USA. Carl.Morrison@roswellpark.org.

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