肝内胆管癌免疫微环境中的临床预后指标和靶点。

IF 6.5 2区 医学 Q1 IMMUNOLOGY Oncoimmunology Pub Date : 2024-10-01 eCollection Date: 2024-01-01 DOI:10.1080/2162402X.2024.2406052
Isis Lozzi, Alexander Arnold, Matthias Barone, Juliette Claire Johnson, Bruno V Sinn, Johannes Eschrich, Pimrapat Gebert, Ruonan Wang, Mengwen Hu, Linda Feldbrügge, Anja Schirmeier, Anja Reutzel-Selke, Thomas Malinka, Felix Krenzien, Wenzel Schöning, Dominik P Modest, Johann Pratschke, Igor M Sauer, Matthäus Felsenstein
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引用次数: 0

摘要

背景:肝内胆管癌(ICC肝内胆管癌(ICC)是一种预后不良且治疗方案有限的疾病。我们研究了肿瘤免疫微环境(TIME),以确定疾病预后的预测因素,并探索治疗调节的靶点:2008-2019年期间,我们收集了被诊断为ICC的患者(139人)的肝脏组织样本,这些患者接受了根治性手术,但未接受新辅助化疗。对发现队列中的样本(n = 86)进行组织芯片(TMA)免疫组化分析,检测肿瘤核心区和基质区的 CD68、CD3、CD4、CD8、Foxp3、PD-L1、STAT1 和 p-STAT1 的表达。使用 QuPath 软件对结果进行数字分析,并将其与临床病理特征相关联。为了验证与 TIME 相关的生物标记物,我们在一个验证队列(n = 53)中进行了多重成像质谱(IMC)分析:结果:CD68+细胞是ICC TIME中最主要的免疫细胞类型。CD4+高T细胞密度与较好的总生存期(OS)相关。预测模型和验证队列证实了CD4+细胞、基质中免疫细胞的PD-L1表达和N期对总体疾病预后的相关性。反过来,IMC分析显示,沉默的CD3+CD4+细胞群对生存率有反向影响。在注释的免疫细胞群中,CD4+FoxP3+细胞表达的PD-L1最为相关。免疫细胞密度高的肿瘤亚群("热 "群)与PD-L1的表达相关,可以确定一组免疫检查点抑制剂(ICI)的候选者。最终,较高水平的STAT1表达与较高的淋巴细胞浸润和PD-L1表达相关:这些结果凸显了 CD4+ T 细胞在针对 ICC 的免疫反应中的重要性。其次,具有 "热 "TIME的肿瘤亚群是ICI的潜在候选者,而刺激STAT1通路可能是将ICC中的 "冷 "TIME变为 "热 "TIME的潜在靶点。
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Clinical prognosticators and targets in the immune microenvironment of intrahepatic cholangiocarcinoma.

Background: Intrahepatic cholangiocarcinoma (ICC) is a disease with poor prognosis and limited therapeutic options. We investigated the tumor immune microenvironment (TIME) to identify predictors of disease outcome and to explore targets for therapeutic modulation.

Methods: Liver tissue samples were collected during 2008-2019 from patients (n = 139) diagnosed with ICC who underwent curative intent surgery without neoadjuvant chemotherapy. Samples from the discovery cohort (n = 86) were immunohistochemically analyzed on tissue microarrays (TMAs) for the expression of CD68, CD3, CD4, CD8, Foxp3, PD-L1, STAT1, and p-STAT1 in tumor core and stroma areas. Results were digitally analyzed using QuPath software and correlated with clinicopathological characteristics. For validation of TIME-related biomarkers, we performed multiplex imaging mass cytometry (IMC) in a validation cohort (n = 53).

Results: CD68+ cells were the predominant immune cell type in the TIME of ICC. CD4+high T cell density correlated with better overall survival (OS). Prediction modeling together with validation cohort confirmed relevance of CD4+ cells, PD-L1 expression by immune cells in the stroma and N-stage on overall disease outcome. In turn, IMC analyses revealed that silent CD3+CD4+ clusters inversely impacted survival. Among annotated immune cell clusters, PD-L1 was most relevantly expressed by CD4+FoxP3+ cells. A subset of tumors with high density of immune cells ("hot" cluster) correlated with PD-L1 expression and could identify a group of candidates for immune checkpoint inhibition (ICI). Ultimately, higher levels of STAT1 expression were associated with higher lymphocyte infiltration and PD-L1 expression.

Conclusions: These results highlight the importance of CD4+ T cells in immune response against ICC. Secondly, a subset of tumors with "hot" TIME represents potential candidates for ICI, while stimulation of STAT1 pathway could be a potential target to turn "cold" into "hot" TIME in ICC.

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来源期刊
Oncoimmunology
Oncoimmunology ONCOLOGYIMMUNOLOGY-IMMUNOLOGY
CiteScore
12.50
自引率
2.80%
发文量
276
审稿时长
24 weeks
期刊介绍: OncoImmunology is a dynamic, high-profile, open access journal that comprehensively covers tumor immunology and immunotherapy. As cancer immunotherapy advances, OncoImmunology is committed to publishing top-tier research encompassing all facets of basic and applied tumor immunology. The journal covers a wide range of topics, including: -Basic and translational studies in immunology of both solid and hematological malignancies -Inflammation, innate and acquired immune responses against cancer -Mechanisms of cancer immunoediting and immune evasion -Modern immunotherapies, including immunomodulators, immune checkpoint inhibitors, T-cell, NK-cell, and macrophage engagers, and CAR T cells -Immunological effects of conventional anticancer therapies.
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