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新冠病毒感染、噬血细胞性淋巴组织细胞增生症和嵌合抗原受体T细胞疗法中的细胞因子风暴

Cytokine Storms in COVID-19, Hemophagocytic Lymphohistiocytosis, and CAR-T Therapy.

作者信息

Long James P, Prakash Rishab, Edelkamp Paul, Knafl Mark, Lionel Anath C, Nair Ranjit, Ahmed Sairah, Strati Paolo, Castillo Luis E Malpica, Al-Zaki Ajlan, Chien Kelly, Chihara Dai, Westin Jason, Khawaja Fareed, Nastoupil Loretta J, Mulanovich Victor, Futreal Andrew, Woodman Scott E, Daver Naval G, Flowers Christopher R, Neelapu Sattva, Manzano Joanna-Grace, Iyer Swaminathan P

机构信息

Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston.

Department of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston.

出版信息

JAMA Netw Open. 2025 Apr 1;8(4):e253455. doi: 10.1001/jamanetworkopen.2025.3455.

DOI:10.1001/jamanetworkopen.2025.3455
PMID:40193078
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11976493/
Abstract

IMPORTANCE

Cytokine storm (CS) is a hyperinflammatory syndrome causing multiorgan dysfunction and high mortality, especially in patients with malignant hematologic neoplasms. Triggers include malignant neoplasm-associated hemophagocytic lymphohistiocytosis (MN-HLH), cytokine release syndrome from chimeric antigen receptor T-cell therapy (CAR-T CRS), and COVID-19, but the underlying mechanisms of inflammation and their impact on outcomes are poorly understood.

OBJECTIVE

To delineate the inflammatory patterns characterizing different CS etiologies and their association with clinical outcomes.

DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study was conducted at the MD Anderson Cancer Center in Houston, Texas, between March 1, 2020, and November 20, 2022, using the software-as-a-service Syntropy Foundry Platform. Participants were patients with malignant hematologic neoplasms who developed CS from COVID-19 (COVID-CS), MN-HLH, or CAR-T CRS.

EXPOSURE

Diagnostic criteria for COVID-CS were developed based on surging inflammatory markers (interleukin-6, C-reactive protein, and ferritin), while diagnosis of MN-HLH and CAR-T CRS followed established guidelines.

MAIN OUTCOMES AND MEASURES

The study compared cytokine levels, clinical characteristics, and survival outcomes across the 3 cohorts and focused on inflammatory markers, survival times, and key factors associated with survival identified through univariate and multivariable analyses.

RESULTS

A total of 671 patients met the inclusion criteria. Of those, 220 (33%) had CAR-T CRS, 227 (34%) had COVID-CS, and 224 (33%) had MN-HLH. Patients were predominantly male (435 [65%]), and 461 (69%) were White, with significant differences in median age (CAR-T CRS, 63 [IQR, 54-71] years; COVID-CS, 63 [IQR, 52-72] years; MN-HLH, 55 [IQR, 41-65] years; P < .001) as well as number of admission days and underlying cancer type across cohorts. Marked variations in cytokine levels and survival outcomes were observed, with the MN-HLH cohort exhibiting the highest levels of inflammatory markers (eg, median TNF-α, 105 pg/mL [IQR, 38-201 pg/mL] for MN-HLH vs 23 pg/mL [IQR, 17-42 pg/mL] for COVID-CS) and lowest fibrinogen and albumin levels. The cohort with CAR-T CRS showed substantially longer survival times compared with the cohort with COVID-CS (hazard ratio [HR], 2.93; 95% CI, 1.95-4.41) and the cohort with MN-HLH (HR, 8.12; 95% CI, 5.51-12.00). Clustering analysis showed overlapping patterns between COVID-CS and CAR-T CRS, while MN-HLH formed a distinct cluster.

CONCLUSIONS AND RELEVANCE

This study of CS syndromes found distinct immune responses within each cohort. The distinct clinical patterns and outcomes associated with different CS etiologies emphasize the importance of early diagnosis and timely intervention.

摘要

重要性

细胞因子风暴(CS)是一种导致多器官功能障碍和高死亡率的高度炎症综合征,尤其是在恶性血液肿瘤患者中。触发因素包括恶性肿瘤相关噬血细胞性淋巴组织细胞增生症(MN-HLH)、嵌合抗原受体T细胞疗法(CAR-T CRS)引起的细胞因子释放综合征以及新型冠状病毒肺炎(COVID-19),但其炎症的潜在机制及其对预后的影响尚不清楚。

目的

描绘不同CS病因的炎症模式及其与临床结局的关联。

设计、设置和参与者:这项回顾性队列研究于2020年3月1日至2022年11月20日在德克萨斯州休斯顿的MD安德森癌症中心进行,使用软件即服务的Syntropy Foundry平台。参与者为因COVID-19(COVID-CS)、MN-HLH或CAR-T CRS发生CS的恶性血液肿瘤患者。

暴露因素

COVID-CS的诊断标准基于炎症标志物(白细胞介素-6、C反应蛋白和铁蛋白)的激增制定,而MN-HLH和CAR-T CRS的诊断遵循既定指南。

主要结局和测量指标

该研究比较了3个队列中的细胞因子水平、临床特征和生存结局,并重点关注炎症标志物、生存时间以及通过单变量和多变量分析确定的与生存相关的关键因素。

结果

共有671名患者符合纳入标准。其中,220例(33%)发生CAR-T CRS,227例(34%)发生COVID-CS,224例(33%)发生MN-HLH。患者以男性为主(435例[65%]),461例(69%)为白人,各队列的中位年龄(CAR-T CRS为63岁[四分位间距,54 - 71岁];COVID-CS为63岁[四分位间距,52 - 72岁];MN-HLH为55岁[四分位间距,41 - 65岁];P < 0.001)以及住院天数和基础癌症类型存在显著差异。观察到细胞因子水平和生存结局有明显差异,MN-HLH队列的炎症标志物水平最高(例如,MN-HLH的中位肿瘤坏死因子-α为105 pg/mL[四分位间距,38 - 201 pg/mL],而COVID-CS为23 pg/mL[四分位间距,17 - 42 pg/mL]),纤维蛋白原和白蛋白水平最低。与COVID-CS队列相比,CAR-T CRS队列的生存时间显著更长(风险比[HR],2.93;95%置信区间,1.95 - 4.41),与MN-HLH队列相比也是如此(HR,8.12;95%置信区间,5.51 - 12.00)。聚类分析显示COVID-CS和CAR-T CRS之间存在重叠模式,而MN-HLH形成一个独特的聚类。

结论和相关性

这项关于CS综合征的研究发现每个队列内存在不同的免疫反应。不同CS病因相关的独特临床模式和结局强调了早期诊断和及时干预的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae93/11976493/98ed0eab0214/jamanetwopen-e253455-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae93/11976493/2a8e2d4a27f2/jamanetwopen-e253455-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae93/11976493/029b4d79c208/jamanetwopen-e253455-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae93/11976493/98ed0eab0214/jamanetwopen-e253455-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae93/11976493/2a8e2d4a27f2/jamanetwopen-e253455-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae93/11976493/029b4d79c208/jamanetwopen-e253455-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae93/11976493/98ed0eab0214/jamanetwopen-e253455-g003.jpg

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