Division of Pulmonology, Department of Internal Medicine II, Comprehensive Cancer Center Vienna, Medical University of Vienna, Vienna, Austria.
Department of Thoracic Surgery, Comprehensive Cancer Center Vienna, Medical University of Vienna, Vienna, Austria.
Thorac Cancer. 2024 Jul;15(20):1598-1606. doi: 10.1111/1759-7714.15336. Epub 2024 Jun 11.
Programmed cell death-ligand 1 (PD-L1) expression is a well-established biomarker for predicting responses to immune checkpoint inhibitors and certain targeted therapies. As a result, treatment strategies for patients vary based on their PD-L1 expression status. Understanding the clinical features of patients with distinct PD-L1 levels is crucial for personalized treatment approaches.
Demographic and clinicopathological characteristics of 227 patients (54% male, mean age 67 ± 9.9 years) newly diagnosed with non-small-cell lung cancer (NSCLC) between April 2020 and December 2022 were retrospectively compared among three groups based on the PD-L1 expression: PD-L1 Tumor Proportion Score (TPS) negative, 1-50%, and ≥50%. Logistic regression analysis was performed to evaluate predictors for high PD-L1 expression ≥50%.
PD-L1 expression levels were distributed as follows: negative in 29% of patients, between 1% and 50% in 41%, and greater than 50% (high) in 29%. In comparison to negative PD-L1 expression, low and high PD-L1 expression was associated with female sex (32.9% vs. 52.7% vs. 50.7%, p = 0.031), with the absence of epidermal growth factor receptor (EGFR) mutations (83.6% vs. 91.1% vs. 98.1% p = 0.029), and with the absence of ERBB2 (HER2) tyrosine kinase mutations (90.9% vs. 100% vs. 98.1% p = 0.007), respectively. Age, smoking status, histological subtype, and disease stage showed no significant differences among the three patient groups. In the univariate logistic regression, EGFR mutation appeared to be the only predictor for PD-L1 expression, although it did not reach statistical significance (p = 0.06).
Although sex and genomic alterations are associated with PD-L1 expression in patients with NSCLC, no clinical characteristics seem to predict PD-L1 expression significantly.
程序性细胞死亡配体 1(PD-L1)表达是预测免疫检查点抑制剂和某些靶向治疗反应的既定生物标志物。因此,患者的治疗策略根据其 PD-L1 表达状态而有所不同。了解具有不同 PD-L1 水平的患者的临床特征对于个性化治疗方法至关重要。
回顾性比较了 2020 年 4 月至 2022 年 12 月期间新诊断为非小细胞肺癌(NSCLC)的 227 名患者(54%为男性,平均年龄 67±9.9 岁)的人口统计学和临床病理学特征,这些患者根据 PD-L1 表达分为三组:PD-L1 肿瘤比例评分(TPS)阴性、1%-50%和≥50%。进行逻辑回归分析以评估 PD-L1 表达≥50%的预测因素。
PD-L1 表达水平分布如下:阴性占 29%,1%-50%占 41%,≥50%(高)占 29%。与 PD-L1 表达阴性相比,低表达和高表达与女性(32.9% vs. 52.7% vs. 50.7%,p=0.031)、无表皮生长因子受体(EGFR)突变(83.6% vs. 91.1% vs. 98.1%,p=0.029)和无 ERBB2(HER2)酪氨酸激酶突变(90.9% vs. 100% vs. 98.1%,p=0.007)相关。年龄、吸烟状态、组织学亚型和疾病分期在三组患者之间无显著差异。在单因素逻辑回归中,EGFR 突变似乎是 PD-L1 表达的唯一预测因素,但未达到统计学意义(p=0.06)。
尽管性别和基因组改变与 NSCLC 患者的 PD-L1 表达相关,但似乎没有临床特征可以显著预测 PD-L1 表达。