{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Zeng X"],"funding":["Wuhan University"],"pagination":["8669098"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8546403"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["2021"],"pubmed_abstract":["<h4>Objective</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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 CD3<sup>+</sup>CD4<sup>+</sup> T cells and CD19<sup>+</sup> 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<sup>+</sup> T cells, CD3<sup>+</sup>CD4<sup>+</sup> T cells, CD3<sup>+</sup>CD8<sup>+</sup>T cells, and CD19<sup>+</sup> B cells) and CD16<sup>+</sup>CD56<sup>+</sup> NK cells and higher level of neutrophils. There were significant differences in the levels of CD3<sup>+</sup>CD4<sup>+</sup> T cells and CD19<sup>+</sup> B cells between T<sub>1-2</sub> and T<sub>3-4</sub> stages as well as IL-2 and CD19<sup>+</sup> B cells between N<sub>0-1</sub> and N<sub>2-3</sub> stages while no significant differences between the metastatic and nonmetastatic cancer patients. Additionally, there were higher correlations between IL-2 and IL-4, TNF-<i>α</i> and IL-2, TNF-<i>α</i> and IL-4, TNF-<i>α</i> and IFN-<i>γ</i>, and CD16<sup>+</sup>CD56<sup>+</sup>NK cells and various subsets of T cells in COVID-19 patients. There was a higher correlation between CD3<sup>+</sup>CD4<sup>+</sup> T cells and CD19<sup>+</sup> B cells in cancer patients.<h4>Conclusion</h4>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."],"journal":["Journal of immunology research"],"pubmed_title":["COVID-19 and Cancer: Discovery of Difference in Clinical Immune Indexes."],"pmcid":["PMC8546403"],"funding_grant_id":["ZNPY2019002","31900558","2018YFE0204500","81872200"],"pubmed_authors":["Li Y","Pan Y","Yang L","Jiang X","Zeng X"],"additional_accession":[]},"is_claimable":false,"name":"COVID-19 and Cancer: Discovery of Difference in Clinical Immune Indexes.","description":"<h4>Objective</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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 CD3<sup>+</sup>CD4<sup>+</sup> T cells and CD19<sup>+</sup> 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<sup>+</sup> T cells, CD3<sup>+</sup>CD4<sup>+</sup> T cells, CD3<sup>+</sup>CD8<sup>+</sup>T cells, and CD19<sup>+</sup> B cells) and CD16<sup>+</sup>CD56<sup>+</sup> NK cells and higher level of neutrophils. There were significant differences in the levels of CD3<sup>+</sup>CD4<sup>+</sup> T cells and CD19<sup>+</sup> B cells between T<sub>1-2</sub> and T<sub>3-4</sub> stages as well as IL-2 and CD19<sup>+</sup> B cells between N<sub>0-1</sub> and N<sub>2-3</sub> stages while no significant differences between the metastatic and nonmetastatic cancer patients. Additionally, there were higher correlations between IL-2 and IL-4, TNF-<i>α</i> and IL-2, TNF-<i>α</i> and IL-4, TNF-<i>α</i> and IFN-<i>γ</i>, and CD16<sup>+</sup>CD56<sup>+</sup>NK cells and various subsets of T cells in COVID-19 patients. There was a higher correlation between CD3<sup>+</sup>CD4<sup>+</sup> T cells and CD19<sup>+</sup> B cells in cancer patients.<h4>Conclusion</h4>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.","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021","modification":"2025-04-04T22:43:18.709Z","creation":"2025-04-04T22:43:18.709Z"},"accession":"S-EPMC8546403","cross_references":{"pubmed":["34712741"],"doi":["10.1155/2021/8669098"]}}