Akito Hata1, Nobuyuki Katakami2, Shigeki Nanjo2, Chiyuki Okuda2, Reiko Kaji2, Katsuhiro Masago2, Shiro Fujita2, Hiroshi Yoshida3, Kota Zama3, Yukihiro Imai4, Yukio Hirata2. 1. Division of Integrated Oncology, Institute of Biomedical Research and Innovation Hospital, Kobe, Japan. Electronic address: a-hata@fbri.org. 2. Division of Integrated Oncology, Institute of Biomedical Research and Innovation Hospital, Kobe, Japan. 3. Department of Contract Research for Clinical Pathology, GeneticLab Co. Ltd., Sapporo, Japan. 4. Department of Clinical Pathology, Kobe City Medical Center, General Hospital, Kobe, Japan.
Abstract
BACKGROUND: Differential biology and prognosis between T790M+ and T790M- populations imply immunological differences also. METHODS: We retrospectively analyzed programmed death-ligand 1 (PD-L1) expression and T790M status in rebiopsied samples of epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC). PD-L1 immunohistochemistry was performed using the SP142 antibody for tumour cell (TC) and tumour-infiltrating immune cell (IC) and the 28-8 antibody for TC. PD-L1+ was defined as TC or IC ≥1%. RESULTS: We investigated 67 available rebiopsied histologic samples in 47 patients. Using the SP142, prevalence of PD-L1 any+, moderate+, and strong+ in T790M+ vs. T790M- samples were 31% vs. 61%, 8% vs. 15%, and 0% vs. 2%, respectively, representing PD-L1+ prevalence of T790M+ samples was significantly lower than that of T790M- (p=0.0149). Prevalence of any TC+/IC+ in T790M+ vs. T790M- samples were TC: 31% vs. 51% (p=0.0997) and IC: 8% vs. 27% (p=0.0536), respectively. Using the 28-8, median percentage of PD-L1+ in T790M+ samples was 1.9 (range, 0-27.2), whereas T790M- was 4.1 (range, 0-89.8) (p=0.0801). Prevalence of PD-L1+ ≥1%, ≥5%, and ≥10% in T790M+ vs. T790M- samples were 77% vs. 83% (p=0.5476), 31% vs. 49% (p=0.1419), and 12% vs. 27% (p=0.1213), respectively. In 9 of 11 patients receiving multiple rebiopsies, T790M and/or PD-L1 expression revealed temporal dynamism. Survival curves according to PD-L1 expression/T790M status suggested better prognosis in PD-L1-/T790M+ population. CONCLUSIONS: T790M+ status was correlated to lower PD-L1 expression. PD-L1 expression might have a prognostic value and interaction with T790M mutation in EGFR-mutant NSCLC.
BACKGROUND: Differential biology and prognosis between T790M+ and T790M- populations imply immunological differences also. METHODS: We retrospectively analyzed programmed death-ligand 1 (PD-L1) expression and T790M status in rebiopsied samples of epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC). PD-L1 immunohistochemistry was performed using the SP142 antibody for tumour cell (TC) and tumour-infiltrating immune cell (IC) and the 28-8 antibody for TC. PD-L1+ was defined as TC or IC ≥1%. RESULTS: We investigated 67 available rebiopsied histologic samples in 47 patients. Using the SP142, prevalence of PD-L1 any+, moderate+, and strong+ in T790M+ vs. T790M- samples were 31% vs. 61%, 8% vs. 15%, and 0% vs. 2%, respectively, representing PD-L1+ prevalence of T790M+ samples was significantly lower than that of T790M- (p=0.0149). Prevalence of any TC+/IC+ in T790M+ vs. T790M- samples were TC: 31% vs. 51% (p=0.0997) and IC: 8% vs. 27% (p=0.0536), respectively. Using the 28-8, median percentage of PD-L1+ in T790M+ samples was 1.9 (range, 0-27.2), whereas T790M- was 4.1 (range, 0-89.8) (p=0.0801). Prevalence of PD-L1+ ≥1%, ≥5%, and ≥10% in T790M+ vs. T790M- samples were 77% vs. 83% (p=0.5476), 31% vs. 49% (p=0.1419), and 12% vs. 27% (p=0.1213), respectively. In 9 of 11 patients receiving multiple rebiopsies, T790M and/or PD-L1 expression revealed temporal dynamism. Survival curves according to PD-L1 expression/T790M status suggested better prognosis in PD-L1-/T790M+ population. CONCLUSIONS:T790M+ status was correlated to lower PD-L1 expression. PD-L1 expression might have a prognostic value and interaction with T790M mutation in EGFR-mutant NSCLC.
Authors: Ramy R Saleh; Jordan L Scott; Nicholas Meti; Danielle Perlon; Rouhi Fazelzad; Alberto Ocana; Eitan Amir Journal: Mol Diagn Ther Date: 2022-02-01 Impact factor: 4.074