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多组学方法在 COVID-19 癌症患者血液中识别出一个将先天免疫反应与增殖耦合的转录网络

英文原题:Multi-omic approach identifies a transcriptional network coupling innate immune response to proliferation in the blood of COVID-19 cancer patients.

查看英文原题

Multi-omic approach identifies a transcriptional network coupling innate immune response to proliferation in the blood of COVID-19 cancer patients.

PubMed 2021/10/29(内容时间) Cell Death Dis Q1 · IF 12.2(JCR 2025)

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中文摘要

COVID-19患者的临床结局因合并症的存在而恶化,尤其是癌症导致死亡率升高。已知SARS-CoV-2感染会改变免疫系统稳态。迄今为止,关于癌症患者感染COVID-19后是否出现可能导致更差结局的免疫功能改变,研究甚少。

我们对伴有和不伴有癌症的COVID-19患者外周血单个核细胞(PBMCs)中的免疫参数进行了多组学分析。健康供者和SARS-CoV-2阴性的癌症患者也作为对照纳入。在感染高峰时,进行了血样的细胞因子多重分析、飞行时间流式细胞术(CyTOF)细胞群体分析,以及使用Pancancer芯片对PBMCs进行Nanostring基因表达检测。

我们发现,在分析的27种血清细胞因子中,有八种促炎因子(IL-6、IL-8、IL-13、IL-1ra、MIP-1a、IP-10)在COVID-19患者中受到调控,与癌症状态无关。在COVID-19癌症患者中,多种T淋巴细胞亚群如CD8+ T、CD4+ T中央记忆细胞、黏膜相关恒定T(MAIT)细胞、自然杀伤(NK)细胞和γδ T细胞减少,而B浆母细胞扩增。

我们的研究结果揭示了COVID-19癌症患者循环免疫细胞中一系列异常基因表达改变。PBMCs的19基因表达特征能够区分伴有和不伴有实体癌的COVID-19患者。基因集富集分析突出显示,癌症患者中与干扰素α、γ、α/β应答及信号传导相关的基因表达增加,并与异常的细胞周期调控相伴。在真实世界连续队列中验证的19个基因中,有10个是COVID-19癌症患者特异性的,独立于不同的癌症类型和疾病分期,并可用于以COVID-19疾病严重程度的方式对患者进行分层。

我们还揭示了一个涉及COVID-19癌症患者PBMCs中炎症反应和增殖基因调控因子的转录网络。

展开英文摘要原文

Clinical outcomes of COVID-19 patients are worsened by the presence of co-morbidities, especially cancer leading to elevated mortality rates. SARS-CoV-2 infection is known to alter immune system homeostasis. Whether cancer patients developing COVID-19 present alterations of immune functions which might contribute to worse outcomes have so far been poorly investigated.

We conducted a multi-omic analysis of immunological parameters in peripheral blood mononuclear cells (PBMCs) of COVID-19 patients with and without cancer. Healthy donors and SARS-CoV-2-negative cancer patients were also included as controls. At the infection peak, cytokine multiplex analysis of blood samples, cytometry by time of flight (CyTOF) cell population analyses, and Nanostring gene expression using Pancancer array on PBMCs were performed.

We found that eight pro-inflammatory factors (IL-6, IL-8, IL-13, IL-1ra, MIP-1a, IP-10) out of 27 analyzed serum cytokines were modulated in COVID-19 patients irrespective of cancer status. Diverse subpopulations of T lymphocytes such as CD8 + T, CD4 + T central memory, Mucosal-associated invariant T (MAIT), natural killer (NK), and γδ T cells were reduced, while B plasmablasts were expanded in COVID-19 cancer patients.

Our findings illustrate a repertoire of aberrant alterations of gene expression in circulating immune cells of COVID-19 cancer patients. A 19-gene expression signature of PBMCs is able to discriminate COVID-19 patients with and without solid cancers. Gene set enrichment analysis highlights an increased gene expression linked to Interferon α, γ, α/β response and signaling which paired with aberrant cell cycle regulation in cancer patients.

Ten out of the 19 genes, validated in a real-world consecutive cohort, were specific of COVID-19 cancer patients independently from different cancer types and stages of the diseases, and useful to stratify patients in a COVID-19 disease severity-manner.

We also unveil a transcriptional network involving gene regulators of both inflammation response and proliferation in PBMCs of COVID-19 cancer patients.

论文信息

作者
Sacconi A、De Vitis C、de Latouliere L、di Martino S、De Nicola F、Goeman F、Mottini C、Paolini F
第一作者单位
UOSD Clinical Trial Center, Biostatistics and Bioinformatics, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144, Rome, Italy.United States
通讯作者单位
UOSD SAFU, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144, Rome, Italy. giulia.piaggio@ifo.gov.it.United States
文献类型
非美国政府资助研究
期刊
Cell death & disease2021 Oct 29
原文标识
PubMed 34716309 · DOI 10.1038/s41419-021-04299-y