Multiparametric analysis of CD8+ T cell compartment phenotype in chronic lymphocytic leukemia reveals a signature associated with progression toward therapy
CD8+ T cells are frontline defenders against cancer and primary targets of current immunotherapies. In CLL, specific functional alterations have been described in circulating CD8+ T cells, yet a global view of the CD8+ T cell compartment phenotype and of its real impact on disease progression is pre...
Ausführliche Beschreibung
Autor*in: |
Pauline Gonnord [verfasserIn] Manon Costa [verfasserIn] Arnaud Abreu [verfasserIn] Michael Peres [verfasserIn] Loïc Ysebaert [verfasserIn] Sébastien Gadat [verfasserIn] Salvatore Valitutti [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2019 |
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Schlagwörter: |
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Übergeordnetes Werk: |
In: OncoImmunology - Taylor & Francis Group, 2020, 8(2019), 4 |
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Übergeordnetes Werk: |
volume:8 ; year:2019 ; number:4 |
Links: |
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DOI / URN: |
10.1080/2162402X.2019.1570774 |
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Katalog-ID: |
DOAJ016241878 |
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10.1080/2162402X.2019.1570774 doi (DE-627)DOAJ016241878 (DE-599)DOAJ6e08f02e20c24957b15015ff4e99bedd DE-627 ger DE-627 rakwb eng RC581-607 RC254-282 Pauline Gonnord verfasserin aut Multiparametric analysis of CD8+ T cell compartment phenotype in chronic lymphocytic leukemia reveals a signature associated with progression toward therapy 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier CD8+ T cells are frontline defenders against cancer and primary targets of current immunotherapies. In CLL, specific functional alterations have been described in circulating CD8+ T cells, yet a global view of the CD8+ T cell compartment phenotype and of its real impact on disease progression is presently elusive. We developed a multidimensional statistical analysis of CD8+ T cell phenotypic marker expression based on whole blood multi-color flow-cytometry. The analysis comprises both unsupervised statistics (hClust and PCA) and supervised classification methods (Random forest, Adaboost algorithm, Decision tree learning and logistic regression) and allows to cluster patients by comparing multiple phenotypic markers expressed by CD8+ T cells. Our results reveal a global CD8+ T cell phenotypic signature in CLL patients that is significantly modified when compared to healthy donors. We also uncover a CD8+ T cell signature characteristic of patients evolving toward therapy within 6 months after phenotyping. The unbiased, not predetermined and multimodal approach highlights a prominent role of the memory compartment in the prognostic signature. The analysis also reveals that imbalance of the central/effector memory compartment in CD8+ T cells can occur irrespectively of the elapsed time after diagnosis. Taken together our results indicate that, in CLL patients, CD8+ T cell phenotype is imprinted by disease clinical progression and reveal that CD8+ T cell memory compartment alteration is not only a hallmark of CLL disease but also a signature of disease evolution toward the need for therapy. cd8+ t cells multidimensional phenotyping chronic lymphocytic leukemia phenotypic signature supervised learning Immunologic diseases. Allergy Neoplasms. Tumors. Oncology. Including cancer and carcinogens Manon Costa verfasserin aut Arnaud Abreu verfasserin aut Michael Peres verfasserin aut Loïc Ysebaert verfasserin aut Sébastien Gadat verfasserin aut Salvatore Valitutti verfasserin aut In OncoImmunology Taylor & Francis Group, 2020 8(2019), 4 (DE-627)683365428 (DE-600)2645309-5 2162402X nnns volume:8 year:2019 number:4 https://doi.org/10.1080/2162402X.2019.1570774 kostenfrei https://doaj.org/article/6e08f02e20c24957b15015ff4e99bedd kostenfrei http://dx.doi.org/10.1080/2162402X.2019.1570774 kostenfrei https://doaj.org/toc/2162-402X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2019 4 |
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Multiparametric analysis of CD8+ T cell compartment phenotype in chronic lymphocytic leukemia reveals a signature associated with progression toward therapy |
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CD8+ T cells are frontline defenders against cancer and primary targets of current immunotherapies. In CLL, specific functional alterations have been described in circulating CD8+ T cells, yet a global view of the CD8+ T cell compartment phenotype and of its real impact on disease progression is presently elusive. We developed a multidimensional statistical analysis of CD8+ T cell phenotypic marker expression based on whole blood multi-color flow-cytometry. The analysis comprises both unsupervised statistics (hClust and PCA) and supervised classification methods (Random forest, Adaboost algorithm, Decision tree learning and logistic regression) and allows to cluster patients by comparing multiple phenotypic markers expressed by CD8+ T cells. Our results reveal a global CD8+ T cell phenotypic signature in CLL patients that is significantly modified when compared to healthy donors. We also uncover a CD8+ T cell signature characteristic of patients evolving toward therapy within 6 months after phenotyping. The unbiased, not predetermined and multimodal approach highlights a prominent role of the memory compartment in the prognostic signature. The analysis also reveals that imbalance of the central/effector memory compartment in CD8+ T cells can occur irrespectively of the elapsed time after diagnosis. Taken together our results indicate that, in CLL patients, CD8+ T cell phenotype is imprinted by disease clinical progression and reveal that CD8+ T cell memory compartment alteration is not only a hallmark of CLL disease but also a signature of disease evolution toward the need for therapy. |
abstractGer |
CD8+ T cells are frontline defenders against cancer and primary targets of current immunotherapies. In CLL, specific functional alterations have been described in circulating CD8+ T cells, yet a global view of the CD8+ T cell compartment phenotype and of its real impact on disease progression is presently elusive. We developed a multidimensional statistical analysis of CD8+ T cell phenotypic marker expression based on whole blood multi-color flow-cytometry. The analysis comprises both unsupervised statistics (hClust and PCA) and supervised classification methods (Random forest, Adaboost algorithm, Decision tree learning and logistic regression) and allows to cluster patients by comparing multiple phenotypic markers expressed by CD8+ T cells. Our results reveal a global CD8+ T cell phenotypic signature in CLL patients that is significantly modified when compared to healthy donors. We also uncover a CD8+ T cell signature characteristic of patients evolving toward therapy within 6 months after phenotyping. The unbiased, not predetermined and multimodal approach highlights a prominent role of the memory compartment in the prognostic signature. The analysis also reveals that imbalance of the central/effector memory compartment in CD8+ T cells can occur irrespectively of the elapsed time after diagnosis. Taken together our results indicate that, in CLL patients, CD8+ T cell phenotype is imprinted by disease clinical progression and reveal that CD8+ T cell memory compartment alteration is not only a hallmark of CLL disease but also a signature of disease evolution toward the need for therapy. |
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CD8+ T cells are frontline defenders against cancer and primary targets of current immunotherapies. In CLL, specific functional alterations have been described in circulating CD8+ T cells, yet a global view of the CD8+ T cell compartment phenotype and of its real impact on disease progression is presently elusive. We developed a multidimensional statistical analysis of CD8+ T cell phenotypic marker expression based on whole blood multi-color flow-cytometry. The analysis comprises both unsupervised statistics (hClust and PCA) and supervised classification methods (Random forest, Adaboost algorithm, Decision tree learning and logistic regression) and allows to cluster patients by comparing multiple phenotypic markers expressed by CD8+ T cells. Our results reveal a global CD8+ T cell phenotypic signature in CLL patients that is significantly modified when compared to healthy donors. We also uncover a CD8+ T cell signature characteristic of patients evolving toward therapy within 6 months after phenotyping. The unbiased, not predetermined and multimodal approach highlights a prominent role of the memory compartment in the prognostic signature. The analysis also reveals that imbalance of the central/effector memory compartment in CD8+ T cells can occur irrespectively of the elapsed time after diagnosis. Taken together our results indicate that, in CLL patients, CD8+ T cell phenotype is imprinted by disease clinical progression and reveal that CD8+ T cell memory compartment alteration is not only a hallmark of CLL disease but also a signature of disease evolution toward the need for therapy. |
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