| MIKULKOVA, Zuzana, Gayane MANUKYAN, Peter TURCSANYI, Milos KUDELKA, Renata URBANOVA, Jakub SAVARA, Eliska OCHODKOVA, Yvona BRYCHTOVÁ, Jan MOLINSKY, Martin SIMKOVIC, David STAROSTKA, Jan NOVAK, Ondrej JANCA, Martin DIHEL, Pavlina RYZNEROVA, Lekaa MOHAMMAD, Tomas PAPAJIK and Eva KRIEGOVA. Deciphering the complex circulating immune cell microenvironment in chronic lymphocytic leukaemia using patient similarity networks. Nature Scientific Reports. London: NATURE RESEARCH, 2021, vol. 11, No 1, p. 1-13. ISSN 2045-2322. Available from: https://dx.doi.org/10.1038/s41598-020-79121-4. |
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@article{1771058,
author = {Mikulkova, Zuzana and Manukyan, Gayane and Turcsanyi, Peter and Kudelka, Milos and Urbanova, Renata and Savara, Jakub and Ochodkova, Eliska and Brychtová, Yvona and Molinsky, Jan and Simkovic, Martin and Starostka, David and Novak, Jan and Janca, Ondrej and Dihel, Martin and Ryznerova, Pavlina and Mohammad, Lekaa and Papajik, Tomas and Kriegova, Eva},
article_location = {London},
article_number = {1},
doi = {http://dx.doi.org/10.1038/s41598-020-79121-4},
keywords = {chronic lymphocytic leukaemia; complex circulating immune cell},
language = {eng},
issn = {2045-2322},
journal = {Nature Scientific Reports},
title = {Deciphering the complex circulating immune cell microenvironment in chronic lymphocytic leukaemia using patient similarity networks},
url = {https://www.nature.com/articles/s41598-020-79121-4.pdf},
volume = {11},
year = {2021}
}
TY - JOUR
ID - 1771058
AU - Mikulkova, Zuzana - Manukyan, Gayane - Turcsanyi, Peter - Kudelka, Milos - Urbanova, Renata - Savara, Jakub - Ochodkova, Eliska - Brychtová, Yvona - Molinsky, Jan - Simkovic, Martin - Starostka, David - Novak, Jan - Janca, Ondrej - Dihel, Martin - Ryznerova, Pavlina - Mohammad, Lekaa - Papajik, Tomas - Kriegova, Eva
PY - 2021
TI - Deciphering the complex circulating immune cell microenvironment in chronic lymphocytic leukaemia using patient similarity networks
JF - Nature Scientific Reports
VL - 11
IS - 1
SP - 1-13
EP - 1-13
PB - NATURE RESEARCH
SN - 20452322
KW - chronic lymphocytic leukaemia
KW - complex circulating immune cell
UR - https://www.nature.com/articles/s41598-020-79121-4.pdf
N2 - 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.
ER -
MIKULKOVA, Zuzana, Gayane MANUKYAN, Peter TURCSANYI, Milos KUDELKA, Renata URBANOVA, Jakub SAVARA, Eliska OCHODKOVA, Yvona BRYCHTOVÁ, Jan MOLINSKY, Martin SIMKOVIC, David STAROSTKA, Jan NOVAK, Ondrej JANCA, Martin DIHEL, Pavlina RYZNEROVA, Lekaa MOHAMMAD, Tomas PAPAJIK and Eva KRIEGOVA. Deciphering the complex circulating immune cell microenvironment in chronic lymphocytic leukaemia using patient similarity networks. \textit{Nature Scientific Reports}. London: NATURE RESEARCH, 2021, vol.~11, No~1, p.~1-13. ISSN~2045-2322. Available from: https://dx.doi.org/10.1038/s41598-020-79121-4.
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