Abstract 5071
Background
Oropharyngeal squamous cell carcinoma (OPSC) continues to increase in incidence with human papillomavirus (HPV) infection. Despite the good overall prognosis, it needs to assess the risk of not only survival, but also the risk of local, regional, or distant treatment failure to guide de-intensification regimens. This study aimed to investigate the expression of estrogen receptor (ER) and programmed cell death-ligand 1 (PD-L1) proteins according to the status of HPV infection and their prognostic implication in OPSCC patients.
Methods
Consecutive 80 patients diagnosed with OPSCC with surgical treatment from 2004 to 2017 were included. Immunohistochemistry for ER and PD-L1 was performed formalin-fixed, paraffin embedded tissues. HPV status assessed with p16 immunohistochemistry and HPV DNA testing.
Results
ER and PD-L1 expression were observed in 37.5% (30/80) and 60% (48/80), respectively. Both ER and PD-L1 protein expression were higher in HPV-positive OPSCC than in HPV-negative subgroup (47.5% vs. 9.5% for ER, 66.1% vs. 42.9% for PD-L1). There was no significant association between ER and PD-L1 expression (correlation coefficient: 0.105, p > 0.05). Using Kaplan-Meier curves, PD-L1 expression was associated with longer recurrence-free duration (p = 0.013), whereas ER expression was associated with prolonged overall survival (p = 0.043). In subgroup analysis, PD-L1 expression was found to be an independent excellent prognostic factor for recurrence-free duration in HPV-positive OPSCC (p = 0.002, HR = 0.085 [0.018-0.399]). ER expression also tended to be associated with longer overall survival in the HPV-positive OPSCC subgroup, but no statistical significance was observed. In HPV-negative subgroup, both ER and PD-L1 expression were not associated with any clinicopathologic factor nor survival.
Conclusions
ER and PD-L1 expression can be complementary prognostic factors in HPV-positive OPSCC. It may allow us to investigate the independent role of anti-hormone receptors and the tumor microenvironment in the treatment of OPSCC.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
4614 - Predictors of Response to Checkpoint Inhibitors in Naïve and Ipilimumab-Refractory Melanoma
Presenter: Domenico Mallardo
Session: Poster Display session 3
Resources:
Abstract
2901 - IFN-γ/IL-10 ratio as predictive biomarker for response to anti-PD-1 therapy in metastatic melanoma patients
Presenter: Emilio Giunta
Session: Poster Display session 3
Resources:
Abstract
2306 - Multiplex Chromogenic Immunohistochemistry (IHC) for Spatial Analysis of Checkpoint-Positive Tumor Infiltrating Lymphocytes (TILs)
Presenter: Scott Ely
Session: Poster Display session 3
Resources:
Abstract
1678 - The role of PD-L1 expression as a predictive biomarker in advanced renal cell carcinoma: a meta-analysis of randomized clinical trials.
Presenter: Alberto Carretero-Gonzalez
Session: Poster Display session 3
Resources:
Abstract
5138 - Radiomic Features as a Non-invasive Biomarker to Predict Response to Immunotherapy in Recurrent or Metastatic Urothelial Carcinoma
Presenter: Kye Jin Park
Session: Poster Display session 3
Resources:
Abstract
5800 - Integrative combination of high-plex digital profiling techniques and cluster analysis to reveal complex immune biology in the tumor microenvironment of mesothelioma
Presenter: Carmen Ballesteros-Merino
Session: Poster Display session 3
Resources:
Abstract
5736 - Predictive factors of response to immunotherapy in 198 patients with metastatic non-microcytic lung cancer (mNSCLC): real world data from 2 university hospitals in Spain
Presenter: Juan Felipe Cordoba Ortega
Session: Poster Display session 3
Resources:
Abstract
5645 - Evaluating Lung CT Density Changes Among Patients with Extensive Stage Small Cell Lung Cancer (ES-SCLC) Treated with Thoracic Radiotherapy (TRT) alone or TRT Followed by Combined Ipilimumab (IPI) and Nivolumab (NIVO).
Presenter: Kujtim Latifi
Session: Poster Display session 3
Resources:
Abstract
1540 - Immuno-oncology therapy biomarkers differences between polyoma-virus positive and negative Merkel cell carcinomas
Presenter: Zoran Gatalica
Session: Poster Display session 3
Resources:
Abstract
4538 - Can we improve patient selection for phase 1 clinical trials (Ph1) based on Immuno-Oncology score prognostic index (VIO)?
Presenter: Ignacio Matos Garcia
Session: Poster Display session 3
Resources:
Abstract