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Association of Programmed Death 1 Protein Ligand (PD-L1) Expression With Prognosis in Merkel Cell Carcinoma

  • Glenn J. Hanna
  • , Alec J. Kacew
  • , Anusha R. Tanguturi
  • , Hans J. Grote
  • , Victoria Vergara
  • , Beatrice Brunkhorst
  • , Guilherme Rabinowits
  • , Manisha Thakuria
  • , Nicole R. LeBoeuf
  • , Christian Ihling
  • , James A. DeCaprio
  • , Jochen H. Lorch

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Merkel cell carcinoma (MCC) is a rare neuroendocrine skin cancer. Prior to the advent of immunotherapy, treatment options were limited. In our study, we evaluate the impact of tumor cell PD-L1 expression and tumor immune microenvironment on survival in MCC patients who were not treated with immune checkpoint inhibitors. Methods: Clinical data and tissue samples were collected from 78 patients with confirmed MCC treated at Dana-Farber Cancer Institute. Specimens were analyzed for the distribution of PD-L1 by immunohistochemistry staining (IHC) and standardized analysis. Results were correlated with survival data. Results: In this study, membrane and cytoplasmic MCC tumor cell staining for PD-L1 was detected in 22.4% (15 of 67) of cases and PD-L1 staining of intratumoral microvessels and PD-L1 positive immune cells at the infiltrative margins of the tumor in 92.5% (62 of 67) of cases. In patients untreated with immune checkpoint inhibitors, median overall survival was not different for patients based on PD-L1 expression (PD-L1+ 64 months vs. PD-L1- not reached; HR = 1.26, 95% CI: 0.46–3.45; p = 0.60). Conclusion: PD-L1 expression is frequently detected in MCC tumor cells and tumor microenvironment. PD-L1 expression did not affect prognosis in this cohort that had not received PD-1/L1 blockade.

Original languageEnglish (US)
Article number198
JournalFrontiers in Medicine
Volume7
DOIs
StatePublished - Jun 5 2020
Externally publishedYes

Keywords

  • cancer
  • MCPyV
  • merkel cell carcinoma
  • merkel cell polyomavirus
  • neuroendocrine carcinoma
  • PD-L1
  • prognostic biomarkers

ASJC Scopus subject areas

  • General Medicine

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