Yoon Jin Cha1, Hye Ryun Kim2, Chang Young Lee3, Byoung Chul Cho2, Hyo Sup Shim4. 1. Department of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea. 2. Department of Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea. 3. Department of Thoracic and Cardiovascular Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea. 4. Department of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea. Electronic address: shimhs@yuhs.ac.
Abstract
INTRODUCTION: PD-L1 expression is a predictive biomarker for response to anti-programmed cell death-1 (PD-1)/programmed cell death-ligand 1 (PD-L1) immune checkpoint inhibitors and can be evaluated by immunohistochemistry. Results of the clinicopathologic characteristics of PD-L1-positive lung adenocarcinoma have been inconsistent in previous studies, and there are no reports on the relationship between PD-L1 expression and p53 status in lung adenocarcinoma. METHODS: We examined PD-L1 and p53 expression in a total of 323 surgically resected lung adenocarcinoma cases using anti-PD-L1 (clone SP142) and anti-p53 (clone DO-7) antibodies, and analyzed the clinicopathologic characteristics of PD-L1-positive cases and their relationship with p53 status. RESULTS: PD-L1 expression in tumor cells was positive in 60 of 323 cases (18.6%). Higher PD-L1 expression (≥50%) was more prevalent in former or current smokers (p=0.026) and was associated with more pack-years (p=0.016). PD-L1-positive tumors were significantly associated with solid predominant type (p<0.001), p53 aberrant expression (p<0.001), and PD-L1 expression in tumor-infiltrating immune cells (p<0.001). Patients with stage I to III tumors harboring PD-L1-positive tumor cells showed poor recurrence-free survival (p<0.001) and overall survival (p<0.001) on univariate analysis. CONCLUSIONS: PD-L1 expression in tumor cells, solid predominant histology, p53 aberrant expression, and PD-L1 expression in tumor-infiltrating immune cells are closely related. These variables should be considered when analyzing the clinical outcomes of patients with lung adenocarcinomas treated with anti-PD1/PD-L1 immune checkpoint inhibitors.
INTRODUCTION:PD-L1 expression is a predictive biomarker for response to anti-programmed cell death-1 (PD-1)/programmed cell death-ligand 1 (PD-L1) immune checkpoint inhibitors and can be evaluated by immunohistochemistry. Results of the clinicopathologic characteristics of PD-L1-positive lung adenocarcinoma have been inconsistent in previous studies, and there are no reports on the relationship between PD-L1 expression and p53 status in lung adenocarcinoma. METHODS: We examined PD-L1 and p53 expression in a total of 323 surgically resected lung adenocarcinoma cases using anti-PD-L1 (clone SP142) and anti-p53 (clone DO-7) antibodies, and analyzed the clinicopathologic characteristics of PD-L1-positive cases and their relationship with p53 status. RESULTS:PD-L1 expression in tumor cells was positive in 60 of 323 cases (18.6%). Higher PD-L1 expression (≥50%) was more prevalent in former or current smokers (p=0.026) and was associated with more pack-years (p=0.016). PD-L1-positive tumors were significantly associated with solid predominant type (p<0.001), p53 aberrant expression (p<0.001), and PD-L1 expression in tumor-infiltrating immune cells (p<0.001). Patients with stage I to III tumors harboring PD-L1-positive tumor cells showed poor recurrence-free survival (p<0.001) and overall survival (p<0.001) on univariate analysis. CONCLUSIONS:PD-L1 expression in tumor cells, solid predominant histology, p53 aberrant expression, and PD-L1 expression in tumor-infiltrating immune cells are closely related. These variables should be considered when analyzing the clinical outcomes of patients with lung adenocarcinomas treated with anti-PD1/PD-L1 immune checkpoint inhibitors.
Authors: Matthew Evans; Brendan O'Sullivan; Frances Hughes; Tina Mullis; Matthew Smith; Nicola Trim; Philippe Taniere Journal: Pathol Oncol Res Date: 2018-09-17 Impact factor: 3.201