Abstract
Background: The approval of immune checkpoint inhibitors in combination with specific diagnostic biomarkers presents new challenges to pathologists as tumor tissue needs to be tested for expression of programmed death-ligand 1 (PD-L1) for a variety of indications. As there is currently no requirement to use companion diagnostic assays for PD-L1 testing in Germany different clones are used in daily routine. While the correlation of staining results has been tested in various entities, there is no data for head and neck squamous cell carcinomas (HNSCC) so far. Methods: We tested five different PD-L1 clones (SP263, SP142, E1L3N, 22-8, 22C3) on primary HNSCC tumor tissue of 75 patients in the form of tissue microarrays. Stainings of both immune and tumor cells were then assessed and quantified by pathologists to simulate real-world routine diagnostics. The results were analyzed descriptively and the resulting staining pattern across patients was further investigated by principal component analysis and non-negative matrix factorization clustering. Results: Percentages of positive immune and tumor cells varied greatly. Both the resulting combined positive score as well as the eligibility for certain checkpoint inhibitor regimens was therefore strongly dependent on the choice of the antibody. No relevant co-clustering and low similarity of relative staining patterns across patients was found for the different antibodies. Conclusions: Performance of different diagnostic anti PD-L1 antibody clones in HNSCC is less robust and interchangeable compared to reported data from other tumor entities. Determination of PD-L1 expression is critical for therapeutic decision making and may be aided by back-to-back testing of different PD-L1 clones.
| Original language | English |
|---|---|
| Article number | 640515 |
| Journal | Frontiers in medicine |
| Volume | 8 |
| Pages (from-to) | 640515 |
| ISSN | 2296-858X |
| DOIs | |
| Publication status | Published - 27.04.2021 |
Funding
CI received a grant clinical scientist fellowship from the Medical Faculty of the University of Lübeck (J26-2018). Fellowships of the Mildred Scheel doctoral program of the German Cancer Aid awarded to LK and F-OP (grant numbers 70113940 and 70112679, respectively). FD received funding from the Else Kröner-Fresenius Foundation (2018_A84) and the German Federal Ministry of Education and Research. All those institutions provide public research funding.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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