Chinese Journal of Lung Cancer (Apr 2021)

CD45RO+ Memory T Lymphocytes As A Candidate Marker for Non–small Cell Lung Cancer

  • Qifan TAN,
  • Haoyang LI,
  • Mengjun YU,
  • Xiaonan TANG,
  • Jinjing TAN,
  • Shucai ZHANG,
  • Jinghui WANG

DOI
https://doi.org/10.3779/j.issn.1009-3419.2021.103.05
Journal volume & issue
Vol. 24, no. 4
pp. 254 – 264

Abstract

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Background and objective Lung cancer is the most common malignancy world-wide. There are a variety of immune infiltrating cells in tumor microenvironment, which is an important component of tumor immunity and has clinical significance for the prognosis of patients. CD45RO is a surface marker of memory T cells. The expression of CD45RO+ tumor infiltrating lymphocytes (TILs) is associated with the prognosis of many tumors. The purpose of this study was to evaluate the relationship between the density of CD45RO+ TILs in tumor and stromal area and the clinical characteristics of patients with non-small cell lung cancer (NSCLC) and its impact on the prognosis of patients. We aimed to explore the clinical value of CD45RO+ TILs and programmed cell death ligand 1 (PD-L1) as prognostic markers. Methods Multiple fluorescent immunohistochemical staining was used to stain the tissue microarray chips of 167 patients with NSCLC, marking CD45RO, cytokeratin (CK) and PD-L1. Using artificial intelligence image recognition technology and tumor cell-specific CK staining, divide the tumor and stromal area in the tissue, evaluate the density of CD45RO+ TILs in the tumor and stromal area, and the expression level of PD-L1 in tumor cells. The non-parametric test was used to analyze the relationship between CD45RO+ TILs and the clinical characteristics of patients, and the Kaplan-Meier method and Cox risk ratio model were used to analyze the relationship between CD45RO+ TILs independently or in combination with PD-L1 and tumor prognosis. Results The density of CD45RO+ TILs was significantly associated with patient age, smoking, tumor stage, and pathological type. Single-factor survival analysis showed that NSCLC (P=0.007) stromal region and lung adenocarcinoma (LUAD) (P<0.001) with CD45RO+ TILs high density had better OS. Multivariate survival analysis showed that the high density of CD45RO+ TILs in the stromal region of NSCLC (HR=0.559, 95%CI: 0.377-0.829, P=0.004) and lung adenocarcinoma (HR=0.352, 95%CI: 0.193-0.641, P=0.001) were independent prognostic factors for overall survival time (OS). Combined with PD-L1 score of tumor cells in tumor tissues and infiltration score of CD45RO+ TILs in all tumor tissues, the patients were divided into 4 groups: patients with PD-L1+/CD45RO+ had the longest disease-free survival (DFS) time, and patients with PD-L1+/CD45RO- had the shortest DFS time. Multivariate Cox regression analysis showed that PD-L1+/CD45RO- was an independent prognostic factor for DFS and had a higher risk of poor prognosis compared to the other three groups (HR=2.221, 95%CI: 1.258-3.919, P=0.006). Conclusion In tumor tissues, the density of CD45RO+ TILs, as well as the combination of CD45RO+ TILs and PD-L1 in tumor areas, significantly correlated with clinicopathological features and prognosis of NSCLC, which can be used as a new prognosis marker.

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