PD-L1 expression in patients with non-small-cell lung cancer is associated with sex and genetic alterations: A retrospective study within the Caucasian population.

IF 2.3 3区 医学 Q3 ONCOLOGY
Thoracic Cancer Pub Date : 2024-07-01 Epub Date: 2024-06-11 DOI:10.1111/1759-7714.15336
P Sarova, B Mosleh, S Zehetmayer, F Oberndorfer, J Widder, H Prosch, C Aigner, M Idzko, M A Hoda, D Gompelmann
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引用次数: 0

Abstract

Background: 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.

Methods: 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%.

Results: 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).

Conclusion: 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.

非小细胞肺癌患者的 PD-L1 表达与性别和基因改变有关:一项针对高加索人群的回顾性研究。
背景:程序性细胞死亡配体 1(PD-L1)表达是预测对免疫检查点抑制剂和某些靶向疗法反应的公认生物标志物。因此,患者的治疗策略因其 PD-L1 表达状态而异。了解不同PD-L1水平患者的临床特征对于个性化治疗方法至关重要:方法:回顾性比较了 2020 年 4 月至 2022 年 12 月间新诊断为非小细胞肺癌(NSCLC)的 227 例患者(54% 为男性,平均年龄为 67 ± 9.9 岁)的人口统计学和临床病理学特征:PD-L1肿瘤比例评分(TPS)阴性组、1-50%组和≥50%组。为评估PD-L1高表达≥50%的预测因素,进行了逻辑回归分析:PD-L1表达水平分布如下:29%的患者为阴性,41%的患者表达水平在1%-50%之间,29%的患者表达水平超过50%(高)。与PD-L1的阴性表达相比,PD-L1的低表达和高表达分别与女性性别(32.9% vs. 52.7% vs. 50.7%,p = 0.031)、表皮生长因子受体(EGFR)突变缺失(83.6% vs. 91.1% vs. 98.1% p = 0.029)和ERBB2(HER2)酪氨酸激酶突变缺失(90.9% vs. 100% vs. 98.1% p = 0.007)有关。年龄、吸烟状况、组织学亚型和疾病分期在三组患者中无明显差异。在单变量逻辑回归中,表皮生长因子受体突变似乎是PD-L1表达的唯一预测因子,但未达到统计学意义(p = 0.06):结论:虽然性别和基因组改变与 NSCLC 患者的 PD-L1 表达有关,但临床特征似乎并不能显著预测 PD-L1 的表达。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Thoracic Cancer
Thoracic Cancer ONCOLOGY-RESPIRATORY SYSTEM
CiteScore
5.20
自引率
3.40%
发文量
439
审稿时长
2 months
期刊介绍: Thoracic Cancer aims to facilitate international collaboration and exchange of comprehensive and cutting-edge information on basic, translational, and applied clinical research in lung cancer, esophageal cancer, mediastinal cancer, breast cancer and other thoracic malignancies. Prevention, treatment and research relevant to Asia-Pacific is a focus area, but submissions from all regions are welcomed. The editors encourage contributions relevant to prevention, general thoracic surgery, medical oncology, radiology, radiation medicine, pathology, basic cancer research, as well as epidemiological and translational studies in thoracic cancer. Thoracic Cancer is the official publication of the Chinese Society of Lung Cancer, International Chinese Society of Thoracic Surgery and is endorsed by the Korean Association for the Study of Lung Cancer and the Hong Kong Cancer Therapy Society. The Journal publishes a range of article types including: Editorials, Invited Reviews, Mini Reviews, Original Articles, Clinical Guidelines, Technological Notes, Imaging in thoracic cancer, Meeting Reports, Case Reports, Letters to the Editor, Commentaries, and Brief Reports.
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