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PD1/PD-L1 expression in blastic plasmacytoid dendritic cell neoplasm

  • Phyu P. Aung
  • , Narittee Sukswai
  • , Reza Nejati
  • , Sanam Loghavi
  • , Weina Chen
  • , Carlos A. Torres-Cabala
  • , C. Cameron Yin
  • , Marina Konopleva
  • , Xiaofeng Zheng
  • , Jing Wang
  • , Zhenya Tang
  • , L. Jeffrey Medeiros
  • , Victor G. Prieto
  • , Naveen Pemmaraju
  • , Joseph D. Khoury
  • University of Texas MD Anderson Cancer Center
  • University of Texas at Dallas

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Patients with blastic plasmacytoid dendritic cell neoplasm (BPDCN) have poor outcomes despite intensive chemotherapy, underscoring the need for novel therapeutic approaches. The expression status of PD1/PD-L1 in BPDCN remains unknown. We evaluated PD1/PD-L1 by immunohistochemistry and RNAseq expression profiling in a cohort of BPDCN patients. The study group included 28 patients with a median age of 66.8 years (range, 22.8–86.7), 22 men and 6 women. PD-L1 expression was detected by immunohistochemistry in 10/21 (47.6%) cases. PD-L1 expression had a median H-score of 157. The H-score was ≥60 in 7 patients. PD-L1 protein levels (H-score) were proportional to normalized PD-L1 mRNA transcript levels (CD274 mRNA). In addition, high-level PD-L1 expression correlated with higher numbers of PD1-positive cells within BPDCN tumors. There was no correlation between clinicopathologic characteristics and PD-L1 expression status. Similarly, there was no significant difference in overall survival between patients with PD-L1-positive and PD-L1-negative BPDCN (median 12 vs. 23 month, respectively; p = 0.743). In conclusion, PD-L1 expression by tumor cells is detectable in a sizeable subset of patients with BPDCN, suggesting that exploration of the effectiveness of therapeutic inhibition of the PD1/PD-L1 axis in patients with refractory or progressive BPDCN is warranted.

Original languageEnglish
Article number695
JournalCancers
Volume11
Issue number5
DOIs
StatePublished - May 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Immune checkpoint regulation
  • Immunotherapy
  • PD-L1
  • RNA sequencing

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