Clinic-Pathological Characteristics and Prognostic Value of PD-L1 and HER2 in Gastric Cancer

病态的 阶段(地层学) 癌症 内科学 生物 比例危险模型 医学 生存分析 肿瘤科 转移 逻辑回归 多元分析 免疫组织化学 病理 淋巴结 古生物学
作者
Ling Chen,Li-Yu Wang,Xin Li,Guangtao Zhang,Zhaoyan Li,Yanwen Wang
出处
期刊:DNA and Cell Biology [Mary Ann Liebert]
卷期号:40 (2): 405-413 被引量:5
标识
DOI:10.1089/dna.2020.6232
摘要

The aim of this study is to study the relationship between programmed cell death-1 ligand (PD-L1) and human epidermal growth receptor 2 (HER2) and the clinical–pathological features of gastric cancer (GC) and its predictive effect on the prognosis of gastric cancer (GC) patients. A retrospective analysis was performed on 113 patients undergoing GC surgery. The expression of PD-L1 and HER2 in GC and paired adjacent nontumor tissues was detected by immunohistochemistry or fluorescence in situ hybridization, and the relationships between PD-L1 and HER2 expression and clinical–pathological features and survival were analyzed by chi-square analysis, Pearson analysis, logistic regression analysis, Kaplan–Meier analysis, and Cox regression model. PD-L1 and HER2 were expressed in tumor tissues, but not in adjacent nontumor tissues. There was no correlation between the expression of PD-L1 and HER2. The expression of PD-L1 in GC was closely related to gender (p = 0.019), regional lymph node (p = 0.006), metastasis (p = 0.033), and survival status (p = 0.033), while HER2 was closely related to tumor differentiation (p = 0.033), regional lymph node (p = 0.016), and tumor–node–metastasis (TNM) stage (p = 0.036). The survival time of PD-L1-positive patients was longer than that of PD-L1-negative patients (p = 0.020). The expression of HER2 showed no difference in overall survival (p = 0.125). Multivariate analysis suggested that the TNM stage (p = 0.001) and PD-L1 expression (p = 0.047) were independent prognostic factors for survival time of GC. The expression of PD-L1 has biological significance in GC, which is closely related to the clinical–pathological characteristics and prognosis of GC patients.
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