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Analysis of the relationship between different infiltrating lymphocytes and PD-L1 expression in triple-negative breast cancer and associated survival analysis (with video) / 中华内分泌外科杂志
Article in Zh | WPRIM | ID: wpr-1019431
Responsible library: WPRO
ABSTRACT
Objective:To analyze the relationship between PD-L1 expression and the degree of infiltration of different types of TILs in triple-negative breast cancer, and the correlation with other pathological features to explore their clinical significance.Methods:Tumor tissues of 199 patients with triple-negative breast cancer in our hospital were selected, and the expression of PD-L1 and the distribution of TILs were analyzed using immunohistochemistry and counted using Image software. The relationship between CD8 +TILs, CD4 +TILs and PD-L1 expression was analyzed and compared, and survival analysis and correlation analysis between PD-L1 expression and pathological information were performed. Results:The density of CD4 + TILs ( χ2=8.75, P=0.003) and CD8 + TILs ( χ2=6.32, P=0.009) infiltration was higher in the PD-L1-positive group compared to that of the PD-L1-negative group. Among PD-L1-positive patients, patients with higher TILs infiltration compared to low infiltrating TILs could achieve longer overall survival time, and the difference was statistically significant ( P1=0.012, P2=0.023, P3=0.010). Patient PD-L1 expression was positively correlated with the number of positive lymph nodes, tumor stage, and ki-67 expression ( Pa=0.032, Pb=0.006, Pc=0.042), and was not related to age or tumor diameter ( Pd=1.031, Pe=0.672) . Conclusions:PD-L1 expression in triple negative breast cancer predicts higher infiltration of CD4 +TILs and CD8 +TILs, while higher infiltration of CD4 +TILs and CD8 +TILs predicts a relatively good survival prognosis.PD-L1 expression is associated with multiple pathological clinical factors and deserves further study to make PD-L1, TILs and other indicators better benefit triple-negative breast cancer patients.
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Full text: 1 Index: WPRIM Language: Zh Journal: Chinese Journal of Endocrine Surgery Year: 2023 Type: Article
Full text: 1 Index: WPRIM Language: Zh Journal: Chinese Journal of Endocrine Surgery Year: 2023 Type: Article