scholarly journals Deciphering the complex circulating immune cell microenvironment in chronic lymphocytic leukemia using patient similarity networks

2020 ◽  
Author(s):  
Zuzana Mikulkova ◽  
Gayane Manukyan ◽  
Peter Turcsanyi ◽  
Renata Urbanova ◽  
Jakub Savara ◽  
...  

Abstract Background: The tissue microenvironment in chronic lymphocytic leukemia (CLL) plays a key role in promoting neoplastic cell survival, proliferation, and drug resistance. There is a lack of complex characterization of CLL blood microenvironment and its clinical impact. Methods: Immunophenotypic profiles of circulating immune cells in 244 CLL patients (untreated, n=123; novel agents, n=67; previous immunochemotherapy, n=54) and age/sex-matched healthy controls (n=52) were assessed using flow cytometry and analyzed by multivariate patient similarity networks (PSNs). Results: Our study revealed high inter-individual heterogeneity in distribution and activation status of bystander immune cells in CLL, depending on the bulk of CLL cells. High CLL counts were associated with low activation status on circulating monocytes, T and NK cells and vice versa low CLL counts with high activation of immune cells, reaching levels in controls. Regarding treatment, the highest activation of immune cells, particularly of intermediate and non-classical monocytes, was evident in patients treated with novel agents. Clustering and visualization using PSNs confirmed low activation of immune cells in progressive disease, irrespectively of IgHV status and Binet stage. Calculating time-to-event endpoint, patients with high intermediate monocytes (>5.4%), predominantly low activated, were associated with 2.5-fold higher likelihood (95% CI 1.421-4.403, P =0.002) of event than those with low percentage of intermediate monocytes. Conclusions: Activation of circulating immune cells are dependent on the CLL cell counts and used therapy, with the lowest activation in patients with progressive disease. Percentage and activation of intermediate monocytes could be of prognostic value in CLL.

2020 ◽  
Author(s):  
Zuzana Mikulkova ◽  
Gayane Manukyan ◽  
Peter Turcsanyi ◽  
Renata Urbanova ◽  
Jakub Savara ◽  
...  

Abstract Background: The tissue microenvironment in chronic lymphocytic leukemia (CLL) plays a key role in promoting neoplastic cell survival, proliferation, and drug resistance. There is a lack of complex characterization of CLL blood microenvironment and its clinical impact. Methods: Immunophenotypic profiles of circulating immune cells in 244 CLL patients (untreated, n=123; novel agents, n=67; previous immunochemotherapy, n=54) and age/sex-matched healthy controls (n=52) were assessed using flow cytometry and analyzed by multivariate patient similarity networks (PSNs). Results: Our study revealed high inter-individual heterogeneity in distribution and activation status of bystander immune cells in CLL, depending on the bulk of CLL cells. High CLL counts were associated with low activation status on circulating monocytes, T and NK cells and vice versa low CLL counts with high activation of immune cells, reaching levels in controls. Regarding treatment, the highest activation of immune cells, particularly of intermediate and non-classical monocytes, was evident in patients treated with novel agents. Clustering and visualization using PSNs confirmed low activation of immune cells in progressive disease, irrespectively of IgHV status and Binet stage. Calculating time-to-event endpoint, patients with high intermediate monocytes (>5.4%), predominantly low activated, were associated with 2.5-fold higher likelihood (95% CI 1.421-4.403, P =0.002) of event than those with low percentage of intermediate monocytes. Conclusions: Activation of circulating immune cells are dependent on the CLL cell counts and used therapy, with the lowest activation in patients with progressive disease. Percentage and activation of intermediate monocytes could be of prognostic value in CLL.


2021 ◽  
Vol 102 ◽  
pp. 106520
Author(s):  
Isabelle G. Solman ◽  
Lisa K. Blum ◽  
Jan A. Burger ◽  
Thomas J. Kipps ◽  
James P. Dean ◽  
...  

Nano Letters ◽  
2012 ◽  
Vol 12 (12) ◽  
pp. 6498-6504 ◽  
Author(s):  
Alex K. Shalek ◽  
Jellert T. Gaublomme ◽  
Lili Wang ◽  
Nir Yosef ◽  
Nicolas Chevrier ◽  
...  

Blood ◽  
1957 ◽  
Vol 12 (4) ◽  
pp. 367-372 ◽  
Author(s):  
NICHOLAS L. PETRAKIS ◽  
ESTELLE LIEBERMAN ◽  
JEAN FULLERTON

Abstract The dead leukocyte content of the blood of normal and leukemic subjects was determined by the technic of the unstained-cell counts of Schrek. A small and constant number of dead leukocytes was found in the normal blood, averaging 46 per cu. mm. In patients with chronic lymphocytic leukemia and acute leukemia, higher numbers of dead leukocytes were commonly found, ranging from normal values to as high as 4,600 per cu. mm. No correlation was found between the numbers of smudge forms on blood smears from these patients and the number of dead leukocytes. The smudge forms on blood smears appear to result from the mechanical trauma produced in making the smears. The leukocytes from chronic lymphocytic leukemia and acute leukemia appear to be much more susceptible to the mechanical forces produced in the preparation of blood smears than are leukocytes from normals and patients with chronic granulocytic leukemia.


2018 ◽  
Vol 70 ◽  
pp. 37-40
Author(s):  
Mitchell R. Smith ◽  
Robert F. Weiss

2000 ◽  
Vol 124 (6) ◽  
pp. 907-909 ◽  
Author(s):  
Maureen J. O'Sullivan ◽  
Zahid Kaleem ◽  
Michael J. Bolger ◽  
Paul E. Swanson ◽  
Mary M. Zutter

Abstract The indolent course of chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) is occasionally altered by transformation to a histologically distinct, rapidly progressive, and clinically unresponsive hematologic malignant neoplasm. We report a case of CLL that, after 3 years of slowly progressive disease and treatment with single-agent chemotherapy (fludarabine phosphate), underwent a composite prolymphocytoid and classic Hodgkin lymphoma transformation. The diagnosis of classic Hodgkin lymphoma was based on the presence of Reed-Sternberg cells with typical morphologic structure and immunophenotype (CD15+, CD30+, CD45−, CD20−) associated with the characteristic polymorphous inflammatory background consisting of numerous eosinophils, plasma cells, and reactive T lymphocytes. The remainder of the lymph node and the peripheral blood showed increased numbers of prolymphocytes admixed with typical small CLL cells. Recognition of such a transformation is of the utmost importance, since histologically similar Reed-Sternberg–like cells may be seen in Richter transformation. In contrast to prolymphocytoid transformation of CLL, Richter syndrome is rapidly fatal, with a median survival of 4 to 5 months. The patient pursued a clinical course similar to pure prolymphocytoid transformation and died with disease after 30 months following treatment with combination chemotherapy.


Author(s):  
Udhayvir Singh Grewal ◽  
Sahith Reddy Thotamgari ◽  
Aakash Rajendra Sheth ◽  
Shiva Jashwanth Gaddam ◽  
Javaria Ahmad ◽  
...  

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Xiaoya Yun ◽  
Ya Zhang ◽  
Xin Wang

Abstract Chronic lymphocytic leukemia (CLL) is the most prevalent adult leukemia with high heterogeneity in the western world. Thus, investigators identified a number of prognostic biomarkers and scoring systems to guide treatment decisions and validated them in the context of immunochemotherapy. A better understanding of prognostic biomarkers, including serum markers, flow cytometry outcomes, IGHV mutation status, microRNAs, chromosome aberrations and gene mutations, have contributed to prognosis in CLL. Del17p/ TP53 mutation, NOTCH1 mutation, CD49d, IGHV mutation status, complex karyotypes and microRNAs were reported to be of predictive values to guide clinical decisions. Based on the biomarkers above, classic prognostic models, such as the Rai and Binet staging systems, MDACC nomogram, GCLLSG model and CLL-IPI, were developed to improve risk stratification and tailor treatment intensity. Considering the presence of novel agents, many investigators validated the conventional prognostic biomarkers in the setting of novel agents and only TP53 mutation status/del 17p and CD49d expression were reported to be of prognostic value. Whether other prognostic indicators and models can be used in the context of novel agents, further studies are required.


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