ArticleZhongguo fei ai za zhi = Chinese journal of lung cancer2021
[CD45RO⁺ Memory T Lymphocytes As A Candidate Marker for Non-small Cell Lung Cancer].
Article in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.
- Prognostic implications of tumor-infiltrating lymphocytes in non-small cell lung cancer: a systematic review and meta-analysis.Frontiers in immunology · 2024Pooled it
- A Thorough Review of the Clinical Applications of Artificial Intelligence in Lung Cancer.Cancers · 2025Review
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7 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundLung 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.
methodsMultiple 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.
resultsThe 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).
conclusionsIn 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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