Immune cells in mesothelioma microenvironment simplistic marker of response to nivolumab plus ipilimumab?

无容量 医学 易普利姆玛 实体瘤疗效评价标准 内科学 肿瘤科 进行性疾病 CD8型 FOXP3型 肿瘤微环境 免疫系统 免疫疗法 胃肠病学 免疫学 化疗 癌症
作者
Maria Disselhorst,Yoni Lubeck,Vincent van der Noort,Josine M.M.F. Quispel-Janssen,Iris M. Seignette,Joyce Sanders,Dennis Peters,Erik Hooijberg,Paul Baas
出处
期刊:Lung Cancer [Elsevier BV]
卷期号:173: 49-52
标识
DOI:10.1016/j.lungcan.2022.08.019
摘要

Introduction Malignant pleural mesothelioma (MPM) is a malignant disease of the pleura which recently can be treated with immune checkpoint inhibitors (ICI). To optimize this treatment, a better understanding of the tumor micro environment is needed. We investigated subgroups of immune cells in subsequent tumor biopsies of patients treated with ICI. Methods Biopsies from MPM patients included in two clinical ICI trials (nivolumab alone and an ipilimumab/nivolumab combination) were examined. At baseline and after 6 weeks of treatment, pleural biopsies were taken to examine the tumor microenvironment (CD20+, CD4+, CD8+, FoxP3+ and PD-1+ ). Cell density was defined as the number of marker positive cells per mm2. Radiological responses were evaluated as partial response, stable disease or progressive disease according to modified RECIST criteria. Results Thirty-four and 36 patients were included in the nivolumab and ipiliumumab/nivolumab trial respectively. In the nivolumab trial, no significant differences in cell densities were seen in baseline biopsies of patients with partial response versus progressive disease. In contrast, in the ipilimumab/nivolumab trial, a higher cell density of CD4+, CD8+, FoxP3+ and PD-1+ cells at baseline was significantly correlated with partial responses. On-treatment biopsies of both trials did not show significant changes when compared to baseline biopsies. Conclusion Biopsies from patients responding to nivolumab plus ipilimumab treatment show a significant higher cell density of CD4+, CD8+, FoxP3+ and PD-1+ cells, without a change after 6 weeks of treatment. This observation is a first step in exploring the tumor microenvironment as predictor of response in ICI treatment in MPM.
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