PD-L1 assessment in cytology samples predicts treatment response to checkpoint inhibitors in NSCLC. (September 2022)
- Record Type:
- Journal Article
- Title:
- PD-L1 assessment in cytology samples predicts treatment response to checkpoint inhibitors in NSCLC. (September 2022)
- Main Title:
- PD-L1 assessment in cytology samples predicts treatment response to checkpoint inhibitors in NSCLC
- Authors:
- Lau, Sally C.M.
Rabindranath, Madhumitha
Weiss, Jessica
Li, Janice J.N.
Fung, Andrea S.
Mullen, Dorinda
Alshamlan, Najd
Ruff, Heather M.
Tong, Leung Chu B.
Pal, Prodipto
Cabanero, Michael R.
Hsu, Ying-Han R.
Sacher, Adrian G.
Shepherd, Frances A.
Liu, Geoffrey
Bradbury, Penelope A.
Yasufuku, Kazuhiro
Czarnecka-Kujawa, Katarzyna
Mi Ko, Hyang
Tsao, Ming-Sound
Leighl, Natasha B.
Schwock, Joerg - Abstract:
- Highlights: In a large population, cytology and histology samples had similar PD-L1 TPS distribution. Despite different sites of sampling, overall PD-L1 TPS proportions remained similar. PD-L1 TPS determined by the 22C3 assay on cytology was predictive of treatment response. PFS to PD1 inhibitors were similar according to PD-L1 TPS on cytology vs histology samples. PFS of patients with PD-L1 ≥ 50 % on cytology was comparable to clinical trials. Abstract: Background: Testing for tumor programmed death ligand-1 (PD-L1) expression was initially developed with histology specimens in non-small cell lung cancer (NSCLC). However, cytology specimens are widely used for primary diagnosis and biomarker studies in clinical practice. Limited clinical data exist on the predictiveness of cytology-derived PD-L1 scores for response to immune checkpoint inhibitor (ICI) therapy. Methods: We reviewed all NSCLC specimens clinically tested at the University Health Network (UHN) for PD-L1 with 22C3 pharmDx, from 01/2013 to 04/2021. Treatment outcomes in patients treated with single agent ICI therapy were reviewed and compared according to cytology- and histology-derived PD-L1 scores. Results: We identified 494 and 1942 unique patients with cytology- and histology-derived tumor proportion scores, respectively, during the study period. Informative testing rates were 95 % vs 98 % for cytology and histology, respectively. Clinical data were available for 152 patients treated with single agent ICI: 61Highlights: In a large population, cytology and histology samples had similar PD-L1 TPS distribution. Despite different sites of sampling, overall PD-L1 TPS proportions remained similar. PD-L1 TPS determined by the 22C3 assay on cytology was predictive of treatment response. PFS to PD1 inhibitors were similar according to PD-L1 TPS on cytology vs histology samples. PFS of patients with PD-L1 ≥ 50 % on cytology was comparable to clinical trials. Abstract: Background: Testing for tumor programmed death ligand-1 (PD-L1) expression was initially developed with histology specimens in non-small cell lung cancer (NSCLC). However, cytology specimens are widely used for primary diagnosis and biomarker studies in clinical practice. Limited clinical data exist on the predictiveness of cytology-derived PD-L1 scores for response to immune checkpoint inhibitor (ICI) therapy. Methods: We reviewed all NSCLC specimens clinically tested at the University Health Network (UHN) for PD-L1 with 22C3 pharmDx, from 01/2013 to 04/2021. Treatment outcomes in patients treated with single agent ICI therapy were reviewed and compared according to cytology- and histology-derived PD-L1 scores. Results: We identified 494 and 1942 unique patients with cytology- and histology-derived tumor proportion scores, respectively, during the study period. Informative testing rates were 95 % vs 98 % for cytology and histology, respectively. Clinical data were available for 152 patients treated with single agent ICI: 61 cytology and 91 histology. Overall response rates (ORR) were similar for cytology and histology (36 % vs 34 %; p = 0.23), as well as median progression free survival (PFS) (4.9 vs 4.2 months; p = 0.99) and overall survival (23.4 vs 19.7 months; p = 0.99). The results remained similar even after adjusting for PD-L1 expression levels and line of ICI treatment (PFS HR 1.15; 95 %CI 0.78–1.70; p = 0.47). Conclusions: Treatment outcomes to single agent ICI based on cytology-derived PD-L1 scores were comparable to histology controls. Our results support PD-L1 biomarker testing on both cytology and histology specimens. … (more)
- Is Part Of:
- Lung cancer. Volume 171(2022)
- Journal:
- Lung cancer
- Issue:
- Volume 171(2022)
- Issue Display:
- Volume 171, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 171
- Issue:
- 2022
- Issue Sort Value:
- 2022-0171-2022-0000
- Page Start:
- 42
- Page End:
- 46
- Publication Date:
- 2022-09
- Subjects:
- PD-L1 testing -- Immunohistochemistry -- Cytology -- Non-small cell lung cancer -- Immune checkpoint inhibitors
Lungs -- Cancer -- Periodicals
Lung Neoplasms -- Abstracts
Lung Neoplasms -- Periodicals
Poumons -- Cancer -- Périodiques
Lungs -- Cancer
Periodicals
Electronic journals
Electronic journals
616.99424 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01695002 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/01695002 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/01695002 ↗
http://www.lungcancerjournal.info/issues ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.lungcan.2022.07.018 ↗
- Languages:
- English
- ISSNs:
- 0169-5002
- Deposit Type:
- Legaldeposit
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