Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China.
J Immunol Res. 2021 Oct 18;2021:8669098. doi: 10.1155/2021/8669098. eCollection 2021.
This study explored the consistency and differences in the immune cells and cytokines between patients with COVID-19 or cancer. We further analyzed the correlations between the acute inflammation and cancer-related immune disorder.
This retrospective study involved 167 COVID-19 patients and 218 cancer patients. COVID-19 and cancer were each further divided into two subgroups. Quantitative and qualitative variables were measured by one-way ANOVA and chi-square test, respectively. Herein, we carried out a correlation analysis between immune cells and cytokines and used receiver operating characteristic (ROC) curves to discover the optimal diagnostic index.
COVID-19 and cancers were associated with lymphopenia and high levels of monocytes, neutrophils, IL-6, and IL-10. IL-2 was the optimal indicator to differentiate the two diseases. Compared with respiratory cancer patients, COVID-19 patients had lower levels of IL-2 and higher levels of CD3CD4 T cells and CD19 B cells. In the subgroup analysis, IL-6 was the optimal differential diagnostic parameter that had the ability to identify if COVID-19 patients would be severely affected, and severe COVID-19 patients had lower levels of lymphocyte subsets (CD3 T cells, CD3CD4 T cells, CD3CD8T cells, and CD19 B cells) and CD16CD56 NK cells and higher level of neutrophils. There were significant differences in the levels of CD3CD4 T cells and CD19 B cells between T and T stages as well as IL-2 and CD19 B cells between N and N stages while no significant differences between the metastatic and nonmetastatic cancer patients. Additionally, there were higher correlations between IL-2 and IL-4, TNF- and IL-2, TNF- and IL-4, TNF- and IFN-, and CD16CD56NK cells and various subsets of T cells in COVID-19 patients. There was a higher correlation between CD3CD4 T cells and CD19 B cells in cancer patients.
Inflammation associated with COVID-19 or cancer had effects on patients' outcomes. Accompanied by changes in immune cells and cytokines, there were consistencies, differences, and satisfactory correlations between patients with COVID-19 and those with cancers.
本研究旨在探讨 COVID-19 患者与癌症患者之间免疫细胞和细胞因子的一致性和差异,并进一步分析急性炎症与癌症相关免疫紊乱之间的相关性。
本回顾性研究纳入了 167 例 COVID-19 患者和 218 例癌症患者。COVID-19 和癌症均进一步分为两组。采用单因素方差分析和卡方检验分别测量定量和定性变量。在此,我们对免疫细胞和细胞因子进行相关性分析,并采用受试者工作特征(ROC)曲线来发现最佳诊断指标。
COVID-19 和癌症与淋巴细胞减少以及单核细胞、中性粒细胞、IL-6 和 IL-10 水平升高有关。IL-2 是区分这两种疾病的最佳指标。与呼吸系统癌症患者相比,COVID-19 患者的 IL-2 水平较低,CD3CD4 T 细胞和 CD19 B 细胞水平较高。在亚组分析中,IL-6 是最佳的鉴别诊断参数,能够识别 COVID-19 患者是否会受到严重影响,重症 COVID-19 患者的淋巴细胞亚群(CD3 T 细胞、CD3CD4 T 细胞、CD3CD8T 细胞和 CD19 B 细胞)和 CD16CD56 NK 细胞水平较低,中性粒细胞水平较高。T 分期和 T 分期之间的 CD3CD4 T 细胞和 CD19 B 细胞水平以及 N 分期和 N 分期之间的 IL-2 和 CD19 B 细胞水平存在显著差异,但转移性和非转移性癌症患者之间无显著差异。此外,COVID-19 患者中 IL-2 与 IL-4、TNF-与 IL-2、TNF-与 IL-4、TNF-与 IFN-以及 CD16CD56NK 细胞与各种 T 细胞亚群之间存在更高的相关性。癌症患者中 CD3CD4 T 细胞与 CD19 B 细胞之间存在更高的相关性。
与 COVID-19 或癌症相关的炎症对患者的预后有影响。COVID-19 患者和癌症患者之间存在一致性、差异和令人满意的相关性,伴随着免疫细胞和细胞因子的变化。