程序性细胞死亡配体1蛋白和其他生物标志物在胃癌和胃食管结癌患者中的表达:巴西的一项回顾性单中心研究

IF 3.5 3区 医学 Q2 ONCOLOGY
Frontiers in Oncology Pub Date : 2025-09-10 eCollection Date: 2025-01-01 DOI:10.3389/fonc.2025.1623264
Jéssica Gonçalves Azevedo, Beatriz de Araujo Cortez, Maria Aparecida do Carmo Rego, Felipe Berlinski, Dominihemberg Ferreira, Angélica Carreira Dos Santos, Ana Beatriz Machado De Almeida, Paula de Mendonça Batista, Cicera Pimenta Marcelino, Fernanda Franco Munari, Iara Viana Vidigal Santana, Vinicius Duval da Silva, Guilherme Ribeiro, Gustavo Noriz Berardinelli, Diego Burgardt, Durval R Wohnrath, Rui Manuel Reis
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引用次数: 0

摘要

背景:程序性细胞死亡配体1 (PD-L1)是预测胃癌(GC)和胃食管结癌(GEJC)患者对免疫治疗反应的关键预后生物标志物。然而,缺乏PD-L1和其他预后生物标志物在巴西GC和GEJC患者中的分布的真实数据。目的:分析巴西一家肿瘤医院GC和GEJC患者的PD-L1表达、微卫星不稳定性(MSI)和人表皮生长因子受体2 (HER-2)状态,并评估PD-L1表达与其他生物标志物和临床病理参数之间的关系。方法:这项观察性回顾性研究于2019年3月至2019年5月在巴西巴雷托斯癌症医院进行。在医院保存福尔马林固定石蜡包埋肿瘤组织样本的患者中,分析PD-L1表达水平和其他生物标志物。免疫组化(IHC)法检测PD-L1表达。MSI采用分子检测,而HER-2的表达则采用免疫组化和荧光原位杂交(FISH)检测。采用卡方检验确定PD-L1表达、MSI、her -2阳性和临床病理参数之间的关系。结果:共纳入162例患者。男性居多(65.4%),平均年龄61岁。49.4%的患者(n = 80)出现PD-L1表达(CPS≥1),12.3% (n = 20)出现msi高表达,8.0% (n = 13)出现HER-2表达。PD-L1表达与年龄和MSI显著相关。结论:GC和GEJC患者中PD-L1表达率较高,但her -2阳性低于全球患病率。PD-L1表达与msi高状态相关。研究结果可用于为巴西GC和GEJC患者选择合适的治疗方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Expression of programmed cell death ligand 1 protein and other biomarkers in patients with gastric cancer and gastroesophageal junction cancer: a retrospective single centre study in Brazil.

Background: Programmed cell death ligand 1 (PD-L1) is a key prognostic biomarker that can predict response to immunotherapies in patients with gastric cancer (GC) and gastroesophageal junction cancer (GEJC). However, there is a lack of real-world data on the distribution of PD-L1 and other prognostic biomarkers among patients with GC and GEJC in Brazil.

Objectives: To analyze PD-L1 expression, the microsatellite instability (MSI) and human epidermal growth factor receptor 2 (HER-2) status among patients with GC and GEJC in a Brazilian cancer hospital and to evaluate the association between PD-L1 expression and other biomarkers and clinicopathological parameters.

Methods: This observational, retrospective study was conducted between March 2019 and May 2019 at the Barretos Cancer Hospital in Brazil. The levels of PD-L1 expression and other biomarkers were analyzed for patients whose formalin-fixed paraffin-embedded tumor tissue samples were preserved at the hospital. PD-L1 expression was measured by the immunohistochemical (IHC) method. MSI was determined by molecular assays, whereas IHC and fluorescence in situ hybridization (FISH) assays were conducted to evaluate HER-2 expression. The association between PD-L1 expression, MSI, HER-2-positivity, and clinicopathological parameters was determined using a chi-square test.

Results: A total of 162 patients were included in the study. Most of the patients were male (65.4%), with a mean age of 61 years. PD-L1 expression (CPS ≥1) was observed in 49.4% of patients (n = 80) of patients, whereas MSI-high and HER-2 expression were reported in 12.3% (n = 20) and 8.0% (n = 13), respectively. PD-L1 expression was significantly associated with older age and MSI.

Conclusion: A high prevalence of PD-L1 expression was observed among patients with GC and GEJC, but HER-2-positivity was lower than global prevalence. PD-L1 expression was associated with MSI-high status. The study outcomes can be used for the selection of appropriate therapies for patients with GC and GEJC in Brazil.

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来源期刊
Frontiers in Oncology
Frontiers in Oncology Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
6.20
自引率
10.60%
发文量
6641
审稿时长
14 weeks
期刊介绍: Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.
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