CHARACTERIZATION AND CLINICAL IMPACT OF THE CIRCULATING IMMUNE CELL PROFILE IN PATIENTS WITH FOLLICULAR LYMPHOMA

IF 3.3 4区 医学 Q2 HEMATOLOGY
A. Rivero, D. Moreno, P. Mozas, A. Moreno, I. Tena, F. Araujo, L. Alserawan, J. Correa, G. Frigola, J. Delgado, M. Osuna, M. Bashiri, A. I. Perez-Valencia, M. Gomez, I. Lopez, I. Hernandez, H. Brillembourg, P. Perez-Galan, E. Giné, E. Matutes, N. Villamor, A. Lopez-Guilermo, L. Magnano
{"title":"CHARACTERIZATION AND CLINICAL IMPACT OF THE CIRCULATING IMMUNE CELL PROFILE IN PATIENTS WITH FOLLICULAR LYMPHOMA","authors":"A. Rivero,&nbsp;D. Moreno,&nbsp;P. Mozas,&nbsp;A. Moreno,&nbsp;I. Tena,&nbsp;F. Araujo,&nbsp;L. Alserawan,&nbsp;J. Correa,&nbsp;G. Frigola,&nbsp;J. Delgado,&nbsp;M. Osuna,&nbsp;M. Bashiri,&nbsp;A. I. Perez-Valencia,&nbsp;M. Gomez,&nbsp;I. Lopez,&nbsp;I. Hernandez,&nbsp;H. Brillembourg,&nbsp;P. Perez-Galan,&nbsp;E. Giné,&nbsp;E. Matutes,&nbsp;N. Villamor,&nbsp;A. Lopez-Guilermo,&nbsp;L. Magnano","doi":"10.1002/hon.70094_203","DOIUrl":null,"url":null,"abstract":"<p>L. Magnano equally contributing author.</p><p><b>Introduction:</b> FL is characterized by a heterogeneous clinical course. Although the importance of the microenvironment in its pathogenesis is well established, detailed information on the immune profile in peripheral blood (PB) has not been previously investigated. The aim of this study was to characterize immune profile in PB of FL patients (pts) at diagnosis (dxFL) and at relapse (rFL) and compare it with that of healthy controls (HC). Correlation with baseline clinical features was also explored.</p><p><b>Methods:</b> We prospectively collected PB samples from FL pts (median age: 61 y; 41M/33F) at dxFL (<i>n</i> = 42) and at rFL (<i>n</i> = 40), as well as from 10 HC (median age: 51 y; 4M/6F) from 2019 to 2024. The identification of the main subsets of T-cells, B-cells, NK-cells, monocytes, neutrophils, dendritic cells (DC) and myeloid suppressor cells was performed by multiparameter flow cytometry. At least 150.000 events were acquired and analysed using Infinicyt software. A Cox regression was performed to identify immune biomarkers that had an impact on time to first treatment (&gt; / &lt; 6 months). In 18 dxFL pts, RNA expression was measured in PB with the nCounter technology.</p><p><b>Results:</b> Compared with HC, dxFL pts exhibited a lower CD4<sup>+</sup>/CD8<sup>+</sup> ratio due to depletion of CD4<sup>+</sup> cells with an increase in CD8<sup>+</sup> lymphocytes. Furthermore, dxFL pts were characterized by a decrease in naïve CD4<sup>+</sup> and CD8<sup>+</sup> (<i>p</i> &lt; 0.0001), along with an increase in effector (E) and effector memory (EM) lymphocytes (<i>p</i> &lt; 0.05), both CD4<sup>+</sup> and CD8<sup>+</sup>. Of note, total regulatory T lymphocytes (Treg) and Th1 cells were increased in FL pts, while NK-cells were decreased, likely indicating an immunosuppressive environment. FL pts showed a decrease in total DC, but with an increase in myeloid DC subset (<i>p</i> = 0.015). These differences remained and became more marked in the relapse setting (Figure 1a). Subsequently, these data were correlated with the main clinical features. Pts with high tumour burden according GELF criteria at diagnosis were enriched in EM (<i>p</i> = 0.001) and activated CD8<sup>+</sup> cells (<i>p</i> = 0.031), but a significantly decrease in Th1 (<i>p</i> = 0.042). Of note, pts with high-risk features as bulky disease (&gt; 7 cm), higher LDH and int/high FLIPI showed an expansion in Treg <b>(</b>Figure 1b<b>)</b>. Genes involved in Treg expression (<i>CCL17, FOXP3, SOCS1, NFKBIA</i> and <i>DUSP4</i>) and T EM phenotype (<i>CCL3, CD70</i>) were upregulated in high tumour burden pts. In dxFL pts, immune predictive variables for early treatment initiation (&lt; 6 m) were lower CD3<sup>+</sup>, E CD4<sup>+</sup> and myeloid DC; and higher EM CD4<sup>+</sup> and activated CD8<sup>+</sup>. Multivariate analysis showed that higher EM CD4<sup>+</sup> lymphocytes was the most important variable to predict time to first therapy (<i>p</i> = 0.03).</p><p><b>Conclusions:</b> FL pts showed an immune profile in PB significantly different from that observed in HC, and are more pronounced at relapse. Knowledge of these immune alterations may enhance the understanding of FL behavior and aid in designing patient-tailored strategies based on immune profile in the era of immunotherapy.</p><p><b>Research</b> <b>funding declaration:</b> Fondo de Investigaciones Sanitarias, Instituto de Salud Carlos III (PI19/00925 to LM and PI23/01207 to LM). Andrea Rivero was supported by a “Emili Letang-Josep Font” grant (Hospital Clinic Barcelona).</p><p><b>Keywords:</b> microenvironment; diagnostic and prognostic biomarkers; indolent non-Hodgkin lymphoma</p><p>No potential sources of conflict of interest.</p>","PeriodicalId":12882,"journal":{"name":"Hematological Oncology","volume":"43 S3","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hon.70094_203","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hematological Oncology","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/hon.70094_203","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEMATOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

L. Magnano equally contributing author.

Introduction: FL is characterized by a heterogeneous clinical course. Although the importance of the microenvironment in its pathogenesis is well established, detailed information on the immune profile in peripheral blood (PB) has not been previously investigated. The aim of this study was to characterize immune profile in PB of FL patients (pts) at diagnosis (dxFL) and at relapse (rFL) and compare it with that of healthy controls (HC). Correlation with baseline clinical features was also explored.

Methods: We prospectively collected PB samples from FL pts (median age: 61 y; 41M/33F) at dxFL (n = 42) and at rFL (n = 40), as well as from 10 HC (median age: 51 y; 4M/6F) from 2019 to 2024. The identification of the main subsets of T-cells, B-cells, NK-cells, monocytes, neutrophils, dendritic cells (DC) and myeloid suppressor cells was performed by multiparameter flow cytometry. At least 150.000 events were acquired and analysed using Infinicyt software. A Cox regression was performed to identify immune biomarkers that had an impact on time to first treatment (> / < 6 months). In 18 dxFL pts, RNA expression was measured in PB with the nCounter technology.

Results: Compared with HC, dxFL pts exhibited a lower CD4+/CD8+ ratio due to depletion of CD4+ cells with an increase in CD8+ lymphocytes. Furthermore, dxFL pts were characterized by a decrease in naïve CD4+ and CD8+ (p < 0.0001), along with an increase in effector (E) and effector memory (EM) lymphocytes (p < 0.05), both CD4+ and CD8+. Of note, total regulatory T lymphocytes (Treg) and Th1 cells were increased in FL pts, while NK-cells were decreased, likely indicating an immunosuppressive environment. FL pts showed a decrease in total DC, but with an increase in myeloid DC subset (p = 0.015). These differences remained and became more marked in the relapse setting (Figure 1a). Subsequently, these data were correlated with the main clinical features. Pts with high tumour burden according GELF criteria at diagnosis were enriched in EM (p = 0.001) and activated CD8+ cells (p = 0.031), but a significantly decrease in Th1 (p = 0.042). Of note, pts with high-risk features as bulky disease (> 7 cm), higher LDH and int/high FLIPI showed an expansion in Treg (Figure 1b). Genes involved in Treg expression (CCL17, FOXP3, SOCS1, NFKBIA and DUSP4) and T EM phenotype (CCL3, CD70) were upregulated in high tumour burden pts. In dxFL pts, immune predictive variables for early treatment initiation (< 6 m) were lower CD3+, E CD4+ and myeloid DC; and higher EM CD4+ and activated CD8+. Multivariate analysis showed that higher EM CD4+ lymphocytes was the most important variable to predict time to first therapy (p = 0.03).

Conclusions: FL pts showed an immune profile in PB significantly different from that observed in HC, and are more pronounced at relapse. Knowledge of these immune alterations may enhance the understanding of FL behavior and aid in designing patient-tailored strategies based on immune profile in the era of immunotherapy.

Research funding declaration: Fondo de Investigaciones Sanitarias, Instituto de Salud Carlos III (PI19/00925 to LM and PI23/01207 to LM). Andrea Rivero was supported by a “Emili Letang-Josep Font” grant (Hospital Clinic Barcelona).

Keywords: microenvironment; diagnostic and prognostic biomarkers; indolent non-Hodgkin lymphoma

No potential sources of conflict of interest.

Abstract Image

滤泡性淋巴瘤患者循环免疫细胞特征及临床影响
L. Magnano同等贡献作者。简介:FL的特点是具有异质性的临床病程。虽然微环境在其发病机制中的重要性已经确立,但有关外周血(PB)免疫谱的详细信息此前尚未研究过。本研究的目的是表征FL患者(pts)在诊断(dxFL)和复发(rFL)时的PB免疫特征,并将其与健康对照(HC)进行比较。还探讨了与基线临床特征的相关性。方法:前瞻性收集FL患者(中位年龄:61岁;41M/33F)在dxFL (n = 42)和rFL (n = 40),以及10 HC(中位年龄:51岁;4M/6F),从2019年到2024年。采用多参数流式细胞术对t细胞、b细胞、nk细胞、单核细胞、中性粒细胞、树突状细胞(DC)和骨髓抑制细胞等主要亚群进行鉴定。使用Infinicyt软件获得并分析了至少15万个事件。采用Cox回归来鉴定对首次治疗时间有影响的免疫生物标志物(>;/ & lt;6个月)。在18个dxFL病例中,用nCounter技术检测PB中RNA的表达。结果:与HC相比,dxFL患者CD4+/CD8+比值较低,这是由于CD4+细胞耗损,CD8+淋巴细胞增加所致。此外,dxFL患者的特点是naïve CD4+和CD8+降低(p <;0.0001),效应淋巴细胞(E)和效应记忆淋巴细胞(EM)增加(p <;0.05), CD4+和CD8+。值得注意的是,总调节性T淋巴细胞(Treg)和Th1细胞在FL中增加,而nk细胞减少,可能表明免疫抑制环境。FL患者总DC减少,但髓系DC亚群增加(p = 0.015)。这些差异仍然存在,并且在复发时变得更加明显(图1a)。随后,这些数据与主要临床特征相关联。根据GELF诊断标准,高肿瘤负担的患者在诊断时EM (p = 0.001)和活化的CD8+细胞(p = 0.031)中富集,但Th1显著降低(p = 0.042)。值得注意的是,具有高危特征的pts为大体积疾病(>;7cm),较高的LDH和int/高FLIPI显示Treg的扩张(图1b)。参与Treg表达的基因(CCL17、FOXP3、SOCS1、NFKBIA和DUSP4)和tem表型(CCL3、CD70)在高肿瘤负担患者中上调。在dxFL患者中,早期治疗开始的免疫预测变量(<;6 m) CD3+、E CD4+和髓系DC降低;高EM CD4+和活化CD8+。多因素分析显示,较高的EM CD4+淋巴细胞是预测首次治疗时间的最重要变量(p = 0.03)。结论:FL在PB中显示的免疫特征与HC中观察到的明显不同,并且在复发时更为明显。了解这些免疫改变可以增强对FL行为的理解,并有助于在免疫治疗时代设计基于免疫谱的患者定制策略。研究经费声明:Fondo de Investigaciones Sanitarias, Instituto de Salud Carlos III (PI19/00925 to LM和PI23/01207 to LM)。Andrea Rivero得到了“Emili Letang-Josep Font”基金(巴塞罗那医院诊所)的资助。关键词:微环境;诊断和预后生物标志物;惰性非霍奇金淋巴瘤没有潜在的利益冲突来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Hematological Oncology
Hematological Oncology 医学-血液学
CiteScore
4.20
自引率
6.10%
发文量
147
审稿时长
>12 weeks
期刊介绍: Hematological Oncology considers for publication articles dealing with experimental and clinical aspects of neoplastic diseases of the hemopoietic and lymphoid systems and relevant related matters. Translational studies applying basic science to clinical issues are particularly welcomed. Manuscripts dealing with the following areas are encouraged: -Clinical practice and management of hematological neoplasia, including: acute and chronic leukemias, malignant lymphomas, myeloproliferative disorders -Diagnostic investigations, including imaging and laboratory assays -Epidemiology, pathology and pathobiology of hematological neoplasia of hematological diseases -Therapeutic issues including Phase 1, 2 or 3 trials as well as allogeneic and autologous stem cell transplantation studies -Aspects of the cell biology, molecular biology, molecular genetics and cytogenetics of normal or diseased hematopoeisis and lymphopoiesis, including stem cells and cytokines and other regulatory systems. Concise, topical review material is welcomed, especially if it makes new concepts and ideas accessible to a wider community. Proposals for review material may be discussed with the Editor-in-Chief. Collections of case material and case reports will be considered only if they have broader scientific or clinical relevance.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信