The tissue microenvironment in chronic lymphocytic leukaemia (CLL) plays a key role in the pathogenesis of CLL, but the complex blood microenvironment in CLL has not yet been fully characterised. Therefore, immunophenotyping of circulating immune cells in 244 CLL patients and 52 healthy controls was performed using flow cytometry and analysed by multivariate Patient Similarity Networks (PSNs). Our study revealed high inter-individual heterogeneity in the distribution and activation of bystander immune cells in CLL, depending on the bulk of the CLL cells. High CLL counts were associated with low activation on circulating monocytes and T cells and vice versa. The highest activation of immune cells, particularly of intermediate and non-classical monocytes, was evident in patients treated with novel agents. PSNs revealed a low activation of immune cells in CLL progression, irrespective of IgHV status, Binet stage and TP53 disruption. Patients with high intermediate monocytes (> 5.4%) with low activation were 2.5 times more likely (95% confidence interval 1.421-4.403, P = 0.002) to had shorter time-to-treatment than those with low monocyte counts. Our study demonstrated the association between the activation of circulating immune cells and the bulk of CLL cells. The highest activation of bystander immune cells was detected in patients with slow disease course and in those treated with novel agents. The subset of intermediate monocytes showed predictive value for time-to-treatment in CLL.

• MeSH
• Models, Biological MeSH
• Leukemia, Lymphocytic, Chronic, B-Cell blood   immunology   pathology   MeSH
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Tumor Microenvironment immunology   MeSH
• Aged MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH

Despite the shared pattern of surface antigens, neoplastic cells in chronic lymphocytic leukemia (CLL) are highly heterogeneous in CD5 expression, a marker linked to a proliferative pool of neoplastic cells. To further characterize CD5high and CD5low neoplastic cells, we assessed the chemokine receptors (CCR5, CCR7, CCR10, CXCR3, CXCR4, CXCR5) and adhesion molecules (CD54, CD62L, CD49d) on the CD5high and CD5low subpopulations, defined by CD5/CD19 coexpression, in peripheral blood of CLL patients (n = 60) subgrouped according to the IgHV mutational status (IgHV mut, n = 24; IgHV unmut, n = 36). CD5high subpopulation showed a high percentage of CXCR3 (P < 0.001), CCR10 (P = 0.001), and CD62L (P = 0.031) and high levels of CXCR5 (P = 0.005), CCR7 (P = 0.013) compared to CD5low cells expressing high CXCR4 (P < 0.001). Comparing IgHV mut and IgHV unmut patients, high levels of CXCR3 on CD5high and CD5low subpopulations were detected in the IgHV mut patients, with better discrimination in CD5low subpopulation. Levels of CXCR3 on CD5low subpopulation were associated with time to the next treatment, thus further confirming its prognostic value. Taken together, our analysis revealed higher CXCR3 expression on both CD5high and CD5low neoplastic cells in IgHV mut with a better prognosis compared to IgHV unmut patients. Contribution of CXCR3 to CLL pathophysiology and its suitability for prognostication and therapeutic exploitation deserves future investigations.

• MeSH
• CD5 Antigens metabolism   MeSH
• Biomarkers MeSH
• Chemotaxis immunology   MeSH
• Leukemia, Lymphocytic, Chronic, B-Cell diagnosis   genetics   metabolism   therapy   MeSH
• Immunophenotyping MeSH
• Kaplan-Meier Estimate MeSH
• Middle Aged MeSH
• Humans MeSH
• Cell Adhesion Molecules metabolism   MeSH
• Mutation * MeSH
• Cell Movement MeSH
• Prognosis MeSH
• Receptors, Chemokine metabolism   MeSH
• Receptors, CXCR3 genetics   metabolism   MeSH
• ROC Curve MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Immunoglobulin Heavy Chains genetics   MeSH
• Immunoglobulin Variable Region genetics   MeSH
• Check Tag
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Names of Substances
• CD5 Antigens MeSH
• Biomarkers MeSH
• CXCR3 protein, human MeSH Browser
• Cell Adhesion Molecules MeSH
• Receptors, Chemokine MeSH
• Receptors, CXCR3 MeSH
• Immunoglobulin Heavy Chains MeSH
• Immunoglobulin Variable Region MeSH