We have located links that may give you full text access.
JOURNAL ARTICLE
MULTICENTER STUDY
RESEARCH SUPPORT, NON-U.S. GOV'T
Programmed Death Ligand 1 Expression in Paired Non-Small Cell Lung Cancer Tumor Samples.
Clinical Lung Cancer 2017 November
BACKGROUND: Programmed death ligand 1 (PD-L1) expression may predict response to anti-programmed death 1 (anti-PD-1) or anti-PD-L1 treatment. There is limited information on changes in PD-L1 expression over time in patients with non-small cell lung cancer (NSCLC).
PATIENTS AND METHODS: Eligible patients with NSCLC who received surgery or underwent biopsy at Samsung Medical Center, Seoul, Republic of Korea, and Aarhus University Hospital, Aarhus, Denmark, between February 2004 and April 2012 were included. PD-L1 expression in paired tumor tissue samples from the same patients at different dates and lesions was measured using a laboratory-developed prototype immunohistochemistry assay (22C3 antibody). PD-L1 positivity was defined as tumor cell membrane positivity in ≥ 1% of tumor cells (proportion score). Concordance of PD-L1 expression was analyzed by treating proportion score as categoric or continuous variables.
RESULTS: Ninety-one patients were included in the analysis. The median interval between the 2 tumor collection dates was 20 months, with 91% of paired samples collected > 3 months apart. The concordance rate for PD-L1 classification between paired samples was 67% (95% confidence interval, 57%-77%). When treating the immunohistochemistry proportional score as a continuous variable, a significant correlation of PD-L1 expression was observed between the paired samples (Pearson correlation coefficient, 0.61; P < .001).
CONCLUSION: There are good correlations of PD-L1 expression from paired NSCLC samples. For patients whose PD-L1 status is negative, it may be valuable to obtain additional tissue samples for retesting PD-L1 expression when anti-PD-1 immunotherapy is considered.
PATIENTS AND METHODS: Eligible patients with NSCLC who received surgery or underwent biopsy at Samsung Medical Center, Seoul, Republic of Korea, and Aarhus University Hospital, Aarhus, Denmark, between February 2004 and April 2012 were included. PD-L1 expression in paired tumor tissue samples from the same patients at different dates and lesions was measured using a laboratory-developed prototype immunohistochemistry assay (22C3 antibody). PD-L1 positivity was defined as tumor cell membrane positivity in ≥ 1% of tumor cells (proportion score). Concordance of PD-L1 expression was analyzed by treating proportion score as categoric or continuous variables.
RESULTS: Ninety-one patients were included in the analysis. The median interval between the 2 tumor collection dates was 20 months, with 91% of paired samples collected > 3 months apart. The concordance rate for PD-L1 classification between paired samples was 67% (95% confidence interval, 57%-77%). When treating the immunohistochemistry proportional score as a continuous variable, a significant correlation of PD-L1 expression was observed between the paired samples (Pearson correlation coefficient, 0.61; P < .001).
CONCLUSION: There are good correlations of PD-L1 expression from paired NSCLC samples. For patients whose PD-L1 status is negative, it may be valuable to obtain additional tissue samples for retesting PD-L1 expression when anti-PD-1 immunotherapy is considered.
Full text links
Related Resources
Trending Papers
Heart failure with preserved ejection fraction: diagnosis, risk assessment, and treatment.Clinical Research in Cardiology : Official Journal of the German Cardiac Society 2024 April 12
Proximal versus distal diuretics in congestive heart failure.Nephrology, Dialysis, Transplantation 2024 Februrary 30
World Health Organization and International Consensus Classification of eosinophilic disorders: 2024 update on diagnosis, risk stratification, and management.American Journal of Hematology 2024 March 30
Efficacy and safety of pharmacotherapy in chronic insomnia: A review of clinical guidelines and case reports.Mental Health Clinician 2023 October
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app