University of Wollongong
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PD-L1 expression predicts longer disease free survival in high risk head and neck cutaneous squamous cell carcinoma

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posted on 2024-11-15, 01:54 authored by Edward Roper, Trina Lum, Carsten Palme, Bruce AshfordBruce Ashford, Sydney Ch'ng, Marie RansonMarie Ranson, Michael Boyer, Jonathan Clark, Ruta Gupta
Programmed cell death (PD-1) and its ligand (PD-L1) inhibitors have shown clinical response in many tumours. PD-L1 data are limited in head and neck cutaneous squamous cell carcinoma (HNcSCC) and no clinical trials of PD-1/PD-L1 inhibitors are published. We performed PD-L1 immunohistochemistry on 74 cases of high risk HNcSCC with 38 matched metastases and evaluated clinicopathological associations, prognostic significance and heterogeneity in matched metastases. We observed PD-L1 expression in >5% of primary tumour cells in 29 cases (39.2%), primary tumour infiltrating lymphocytes (TILs) in 40 cases (70.2%), metastatic tumour cells in 15 cases (39.5%), and metastatic TILs in 18 cases (47.4%). PD-L1 expression in >5% of primary tumour cells was associated with an inflammatory phenotype (p = 0.04), and in primary TILs with clear margins (p = 0.05). PD-L1 expression in >5% of primary tumour cells (p = 0.01), primary TILs (p = 0.001), and metastatic TILs (p = 0.02) was associated with improved disease free survival. PD-L1 expression in >5% of tumour cells was heterogeneous between primary and metastatic tumours in 13 cases (34.2%). PD-L1 expression is common in HNcSCC supporting the rationale for a clinical trial of PD-1/PD-L1 inhibitors. PD-L1 expression in tumour cells or TILs predicts longer disease free survival and demonstrates temperospatial heterogeneity.

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Citation

Roper, E., Lum, T., Palme, C. E., Ashford, B., Ch'ng, S., Ranson, M., Boyer, M., Clark, J. & Gupta, R. (2017). PD-L1 expression predicts longer disease free survival in high risk head and neck cutaneous squamous cell carcinoma. Pathology, 49 (5), 499-505.

Journal title

Pathology

Volume

49

Issue

5

Pagination

499-505

Language

English

RIS ID

127990

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