ArticleJournal of cancer research and clinical oncology2017
Predictive value of PD-L1 based on mRNA level in the treatment of stage IV melanoma with ipilimumab.
Article in Journal of cancer research and clinical oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 18 citations in OpenAlex.
- The Challenges and Opportunities of Protein Coronas for Nanoscale Biomolecular Sensing.Small (Weinheim an der Bergstrasse, Germany) · 2025Review
- Prognostic and predictive value of IDO expression in metastatic melanoma treated with Ipilimumab.PloS one · 2025Article
- Therapeutical Usefulness of PD-1/PD-L1 Inhibitors in Aggressive or Metastatic Pituitary Tumours.Cancers · 2024Review
- High CTLA-4 transcriptomic expression correlates with high expression of other checkpoints and with immunotherapy outcome.Therapeutic advances in medical oncology · 2024Article
- Inflammatory Blood Parameters as Biomarkers for Response to Immune Checkpoint Inhibition in Metastatic Melanoma Patients.Biomedicines · 2022Article
- Assessment of PD-L1 mRNA expression in gastrointestinal tumors and the response to immunotherapy.Frontiers in oncology · 2022Article
- Factors Determining Long-Term Antitumor Responses to Immune Checkpoint Blockade Therapy in Melanoma.Frontiers in immunology · 2021Review
- Harmonization of Molecular Testing for Non-Small Cell Lung Cancer: Emphasis on PD-L1.Frontiers in oncology · 2020Article
- High PD-L1 Expression Predicts for Worse Outcome of Leukemia Patients with ConcomitantInternational journal of molecular sciences · 2019Article
- Design, Optimization, and Multisite Evaluation of a Targeted Next-Generation Sequencing Assay System for Chimeric RNAs from Gene Fusions and Exon-Skipping Events in Non-Small Cell Lung Cancer.The Journal of molecular diagnostics : JMD · 2019Article
- Next generation sequencing of PD-L1 for predicting response to immune checkpoint inhibitors.Journal for immunotherapy of cancer · 2019Article
- The Role of the Lymphocyte Functional Crosstalk and Regulation in the Context of Checkpoint Inhibitor Treatment-Review.Frontiers in immunology · 2019Review
- Article
Corrections and comments
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Authors and funding
17 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPD-L1 is established as a predictive marker for therapy of non-small cell lung cancer with pembrolizumab. Furthermore, PD-L1 positive melanoma has shown more favorable outcomes when treated with anti-PD1 antibodies and dacarbazine compared to PD-L1 negative melanoma. However, the role of PD-L1 expression with regard to response to checkpoint inhibition with anti-CTLA-4 is not clear, yet. In addition, the lack of standardization in the immunohistochemical assessment of PD-L1 makes the comparison of results difficult. In this study, we investigated the PD-L1 gene expression with a new fully automated technique via RT-PCR and correlated the findings with the response to the anti-CTLA-4 antibody ipilimumab. MATERIALS AND
methodsWithin a retrospective multi-center trial, PD-L1 gene expression was evaluated in 78 melanoma patients in a total of 111 pre-treatment tumor samples from 6 skin cancer centers and analyzed with regard to response to ipilimumab. For meaningful statistical analysis, the cohort was enriched for responders with 30 responders and 48 non-responders. Gene expression was assessed by quantitative RT-PCR after extracting mRNA from formalin-fixed paraffin embedded tumor tissue and correlated with results from immunohistochemical (IHC) stainings. RESULTS AND DISCUSSION: The evaluation of PD-L1 expression based on mRNA level is feasible. Correlation between PD-L1 expression as assessed by IHC and RT-PCR showed varying levels of concordance depending on the antibody employed. RT-PCR should be further investigated to measure PD-L1 expression, since it is a semi-quantitative method with observer-independent evaluation. With this approach, there was no statistical significant difference in the PD-L1 expression between responders and non-responders to the therapy with ipilimumab. The evaluation of PD-L1 expression based on mRNA level is feasible. Correlation between PD-L1 expression as assessed by IHC and RT-PCR showed varying levels of concordance depending on the antibody employed. RT-PCR should be further investigated to measure PD-L1 expression, since it is a semi-quantitative method with observer-independent evaluation. With this approach, there was no statistical significant difference in the PD-L1 expression between responders and non-responders to the therapy with ipilimumab.
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