Literature DB >> 28616701

Predictive value of PD-L1 based on mRNA level in the treatment of stage IV melanoma with ipilimumab.

C Brüggemann1,2, M C Kirchberger1, S M Goldinger3, B Weide4, A Konrad5, M Erdmann1, D Schadendorf6, R S Croner7, L Krähenbühl3, K C Kähler8, C Hafner9, W Leisgang1, F Kiesewetter1, R Dummer3, G Schuler1, M Stürzl5, L Heinzerling10.   

Abstract

INTRODUCTION: PD-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 METHODS: Within 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.

Entities:  

Keywords:  Biomarker; Checkpoint inhibitors; Ipilimumab; Melanoma; PD-L1; Predictive marker; Prognostic marker

Mesh:

Substances:

Year:  2017        PMID: 28616701     DOI: 10.1007/s00432-017-2450-2

Source DB:  PubMed          Journal:  J Cancer Res Clin Oncol        ISSN: 0171-5216            Impact factor:   4.553


  60 in total

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Journal:  Science       Date:  2015-03-12       Impact factor: 47.728

6.  Ipilimumab monotherapy in patients with pretreated advanced melanoma: a randomised, double-blind, multicentre, phase 2, dose-ranging study.

Authors:  Jedd D Wolchok; Bart Neyns; Gerald Linette; Sylvie Negrier; Jose Lutzky; Luc Thomas; William Waterfield; Dirk Schadendorf; Michael Smylie; Troy Guthrie; Jean-Jacques Grob; Jason Chesney; Kevin Chin; Kun Chen; Axel Hoos; Steven J O'Day; Celeste Lebbé
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Journal:  Immunotherapy       Date:  2016-06       Impact factor: 4.196

8.  RNA extraction from archival formalin-fixed paraffin-embedded tissue: a comparison of manual, semiautomated, and fully automated purification methods.

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9.  Human brain endothelial cells endeavor to immunoregulate CD8 T cells via PD-1 ligand expression in multiple sclerosis.

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Journal:  J Neuroinflammation       Date:  2011-11-08       Impact factor: 8.322

10.  PD-1 blockade induces responses by inhibiting adaptive immune resistance.

Authors:  Paul C Tumeh; Christina L Harview; Jennifer H Yearley; I Peter Shintaku; Emma J M Taylor; Lidia Robert; Bartosz Chmielowski; Marko Spasic; Gina Henry; Voicu Ciobanu; Alisha N West; Manuel Carmona; Christine Kivork; Elizabeth Seja; Grace Cherry; Antonio J Gutierrez; Tristan R Grogan; Christine Mateus; Gorana Tomasic; John A Glaspy; Ryan O Emerson; Harlan Robins; Robert H Pierce; David A Elashoff; Caroline Robert; Antoni Ribas
Journal:  Nature       Date:  2014-11-27       Impact factor: 49.962

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Review 3.  The Role of the Lymphocyte Functional Crosstalk and Regulation in the Context of Checkpoint Inhibitor Treatment-Review.

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Journal:  J Mol Diagn       Date:  2018-12-04       Impact factor: 5.341

6.  A panel of eight mRNA signatures improves prognosis prediction of osteosarcoma patients.

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Review 7.  Factors Determining Long-Term Antitumor Responses to Immune Checkpoint Blockade Therapy in Melanoma.

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