Bioinformatics Evaluation of the Clinicopathological and Prognostic Significance of PD-L1 Expression in Lung Adenocarcinoma
Keywords:
PD-L1, Lung adenocarcinoma, Immunohistochemistry, BioinformaticsAbstract
Objective: To evaluate the clinicopathological and prognostic significance of PD-L1 expression in lung adenocarcinoma using bioinformatics and validate its expression and clinicopathological correlation through immunohistochemistry. Methods: The GEPIA database was utilized to analyze the quantitative expression of PD-L1 mRNA, which was further validated using immunohistochemistry. The impact of PD-L1 expression on the prognostic value of lung adenocarcinoma was assessed using the Kaplan-Meier Plotter. Immune cell infiltration in lung adenocarcinoma was analyzed with Timer 2.0. Additionally, the differential expression of various PD-L1 subtypes in lung adenocarcinoma was examined using the TCGA module of the UALCAN database. Results: Bioinformatics analysis revealed that PD-L1 expression was significantly lower in cancer tissues compared to normal tissues. Immunohistochemistry results demonstrated high expression of PD-L1 in lung adenocarcinoma tissues, whereas low or no expression was observed in adjacent normal tissues. No significant differences in PD-L1 expression were found among different ages, genders, clinical stages, or lymph node metastasis statuses. However, PD-L1 expression was significantly correlated with overall survival and first progression-free survival of patients. Conclusion: The expression of PD-L1 is associated with the survival prognosis of patients with lung adenocarcinoma.
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