A Palette of Cytokines to Measure Anti-Tumor Efficacy of T Cell-Based Therapeutics

Cytokines are key molecules within the tumor microenvironment (TME) that can be used as biomarkers to predict the magnitude of anti-tumor immune responses. During immune monitoring, it has been customary to predict outcomes based on the abundance of a single cytokine, in particular IFN-γ or TGF-β, a...
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Autor*in:	Prathyaya Ramesh [verfasserIn] Rohan Shivde [verfasserIn] Dinesh Jaishankar [verfasserIn] Diana Saleiro [verfasserIn] I. Caroline Le Poole [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	T cell cytokines tumor effector function immunotherapy polyfunctionality

Übergeordnetes Werk:	In: Cancers - MDPI AG, 2010, 13(2021), 4, p 821
Übergeordnetes Werk:	volume:13 ; year:2021 ; number:4, p 821

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/cancers13040821

Katalog-ID:	DOAJ073659940

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allfields	10.3390/cancers13040821 doi (DE-627)DOAJ073659940 (DE-599)DOAJab245c81ec384f86bbff1414200756fe DE-627 ger DE-627 rakwb eng RC254-282 Prathyaya Ramesh verfasserin aut A Palette of Cytokines to Measure Anti-Tumor Efficacy of T Cell-Based Therapeutics 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Cytokines are key molecules within the tumor microenvironment (TME) that can be used as biomarkers to predict the magnitude of anti-tumor immune responses. During immune monitoring, it has been customary to predict outcomes based on the abundance of a single cytokine, in particular IFN-γ or TGF-β, as a readout of ongoing anti-cancer immunity. However, individual cytokines within the TME can exhibit dual opposing roles. For example, both IFN-γ and TGF-β have been associated with pro- and anti-tumor functions. Moreover, cytokines originating from different cellular sources influence the crosstalk between CD4<sup<+</sup< and CD8<sup<+</sup< T cells, while the array of cytokines expressed by T cells is also instrumental in defining the mechanisms of action and efficacy of treatments. Thus, it becomes increasingly clear that a reliable readout of ongoing immunity within the TME will have to include more than the measurement of a single cytokine. This review focuses on defining a panel of cytokines that could help to reliably predict and analyze the outcomes of T cell-based anti-tumor therapies. T cell cytokines tumor effector function immunotherapy polyfunctionality Neoplasms. Tumors. Oncology. Including cancer and carcinogens Rohan Shivde verfasserin aut Dinesh Jaishankar verfasserin aut Diana Saleiro verfasserin aut I. Caroline Le Poole verfasserin aut In Cancers MDPI AG, 2010 13(2021), 4, p 821 (DE-627)614095670 (DE-600)2527080-1 20726694 nnns volume:13 year:2021 number:4, p 821 https://doi.org/10.3390/cancers13040821 kostenfrei https://doaj.org/article/ab245c81ec384f86bbff1414200756fe kostenfrei https://www.mdpi.com/2072-6694/13/4/821 kostenfrei https://doaj.org/toc/2072-6694 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 13 2021 4, p 821
spelling	10.3390/cancers13040821 doi (DE-627)DOAJ073659940 (DE-599)DOAJab245c81ec384f86bbff1414200756fe DE-627 ger DE-627 rakwb eng RC254-282 Prathyaya Ramesh verfasserin aut A Palette of Cytokines to Measure Anti-Tumor Efficacy of T Cell-Based Therapeutics 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Cytokines are key molecules within the tumor microenvironment (TME) that can be used as biomarkers to predict the magnitude of anti-tumor immune responses. During immune monitoring, it has been customary to predict outcomes based on the abundance of a single cytokine, in particular IFN-γ or TGF-β, as a readout of ongoing anti-cancer immunity. However, individual cytokines within the TME can exhibit dual opposing roles. For example, both IFN-γ and TGF-β have been associated with pro- and anti-tumor functions. Moreover, cytokines originating from different cellular sources influence the crosstalk between CD4<sup<+</sup< and CD8<sup<+</sup< T cells, while the array of cytokines expressed by T cells is also instrumental in defining the mechanisms of action and efficacy of treatments. Thus, it becomes increasingly clear that a reliable readout of ongoing immunity within the TME will have to include more than the measurement of a single cytokine. This review focuses on defining a panel of cytokines that could help to reliably predict and analyze the outcomes of T cell-based anti-tumor therapies. T cell cytokines tumor effector function immunotherapy polyfunctionality Neoplasms. Tumors. Oncology. Including cancer and carcinogens Rohan Shivde verfasserin aut Dinesh Jaishankar verfasserin aut Diana Saleiro verfasserin aut I. Caroline Le Poole verfasserin aut In Cancers MDPI AG, 2010 13(2021), 4, p 821 (DE-627)614095670 (DE-600)2527080-1 20726694 nnns volume:13 year:2021 number:4, p 821 https://doi.org/10.3390/cancers13040821 kostenfrei https://doaj.org/article/ab245c81ec384f86bbff1414200756fe kostenfrei https://www.mdpi.com/2072-6694/13/4/821 kostenfrei https://doaj.org/toc/2072-6694 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 13 2021 4, p 821
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allfieldsGer	10.3390/cancers13040821 doi (DE-627)DOAJ073659940 (DE-599)DOAJab245c81ec384f86bbff1414200756fe DE-627 ger DE-627 rakwb eng RC254-282 Prathyaya Ramesh verfasserin aut A Palette of Cytokines to Measure Anti-Tumor Efficacy of T Cell-Based Therapeutics 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Cytokines are key molecules within the tumor microenvironment (TME) that can be used as biomarkers to predict the magnitude of anti-tumor immune responses. During immune monitoring, it has been customary to predict outcomes based on the abundance of a single cytokine, in particular IFN-γ or TGF-β, as a readout of ongoing anti-cancer immunity. However, individual cytokines within the TME can exhibit dual opposing roles. For example, both IFN-γ and TGF-β have been associated with pro- and anti-tumor functions. Moreover, cytokines originating from different cellular sources influence the crosstalk between CD4<sup<+</sup< and CD8<sup<+</sup< T cells, while the array of cytokines expressed by T cells is also instrumental in defining the mechanisms of action and efficacy of treatments. Thus, it becomes increasingly clear that a reliable readout of ongoing immunity within the TME will have to include more than the measurement of a single cytokine. This review focuses on defining a panel of cytokines that could help to reliably predict and analyze the outcomes of T cell-based anti-tumor therapies. T cell cytokines tumor effector function immunotherapy polyfunctionality Neoplasms. Tumors. Oncology. Including cancer and carcinogens Rohan Shivde verfasserin aut Dinesh Jaishankar verfasserin aut Diana Saleiro verfasserin aut I. Caroline Le Poole verfasserin aut In Cancers MDPI AG, 2010 13(2021), 4, p 821 (DE-627)614095670 (DE-600)2527080-1 20726694 nnns volume:13 year:2021 number:4, p 821 https://doi.org/10.3390/cancers13040821 kostenfrei https://doaj.org/article/ab245c81ec384f86bbff1414200756fe kostenfrei https://www.mdpi.com/2072-6694/13/4/821 kostenfrei https://doaj.org/toc/2072-6694 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 13 2021 4, p 821
allfieldsSound	10.3390/cancers13040821 doi (DE-627)DOAJ073659940 (DE-599)DOAJab245c81ec384f86bbff1414200756fe DE-627 ger DE-627 rakwb eng RC254-282 Prathyaya Ramesh verfasserin aut A Palette of Cytokines to Measure Anti-Tumor Efficacy of T Cell-Based Therapeutics 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Cytokines are key molecules within the tumor microenvironment (TME) that can be used as biomarkers to predict the magnitude of anti-tumor immune responses. During immune monitoring, it has been customary to predict outcomes based on the abundance of a single cytokine, in particular IFN-γ or TGF-β, as a readout of ongoing anti-cancer immunity. However, individual cytokines within the TME can exhibit dual opposing roles. For example, both IFN-γ and TGF-β have been associated with pro- and anti-tumor functions. Moreover, cytokines originating from different cellular sources influence the crosstalk between CD4<sup<+</sup< and CD8<sup<+</sup< T cells, while the array of cytokines expressed by T cells is also instrumental in defining the mechanisms of action and efficacy of treatments. Thus, it becomes increasingly clear that a reliable readout of ongoing immunity within the TME will have to include more than the measurement of a single cytokine. This review focuses on defining a panel of cytokines that could help to reliably predict and analyze the outcomes of T cell-based anti-tumor therapies. T cell cytokines tumor effector function immunotherapy polyfunctionality Neoplasms. Tumors. Oncology. Including cancer and carcinogens Rohan Shivde verfasserin aut Dinesh Jaishankar verfasserin aut Diana Saleiro verfasserin aut I. Caroline Le Poole verfasserin aut In Cancers MDPI AG, 2010 13(2021), 4, p 821 (DE-627)614095670 (DE-600)2527080-1 20726694 nnns volume:13 year:2021 number:4, p 821 https://doi.org/10.3390/cancers13040821 kostenfrei https://doaj.org/article/ab245c81ec384f86bbff1414200756fe kostenfrei https://www.mdpi.com/2072-6694/13/4/821 kostenfrei https://doaj.org/toc/2072-6694 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 13 2021 4, p 821
language	English
source	In Cancers 13(2021), 4, p 821 volume:13 year:2021 number:4, p 821
sourceStr	In Cancers 13(2021), 4, p 821 volume:13 year:2021 number:4, p 821
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	T cell cytokines tumor effector function immunotherapy polyfunctionality Neoplasms. Tumors. Oncology. Including cancer and carcinogens
isfreeaccess_bool	true
container_title	Cancers
authorswithroles_txt_mv	Prathyaya Ramesh @@aut@@ Rohan Shivde @@aut@@ Dinesh Jaishankar @@aut@@ Diana Saleiro @@aut@@ I. Caroline Le Poole @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
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callnumber-first	R - Medicine
author	Prathyaya Ramesh
spellingShingle	Prathyaya Ramesh misc RC254-282 misc T cell misc cytokines misc tumor misc effector function misc immunotherapy misc polyfunctionality misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens A Palette of Cytokines to Measure Anti-Tumor Efficacy of T Cell-Based Therapeutics
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topic_title	RC254-282 A Palette of Cytokines to Measure Anti-Tumor Efficacy of T Cell-Based Therapeutics T cell cytokines tumor effector function immunotherapy polyfunctionality
topic	misc RC254-282 misc T cell misc cytokines misc tumor misc effector function misc immunotherapy misc polyfunctionality misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
topic_unstemmed	misc RC254-282 misc T cell misc cytokines misc tumor misc effector function misc immunotherapy misc polyfunctionality misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
topic_browse	misc RC254-282 misc T cell misc cytokines misc tumor misc effector function misc immunotherapy misc polyfunctionality misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
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title_auth	A Palette of Cytokines to Measure Anti-Tumor Efficacy of T Cell-Based Therapeutics
abstract	Cytokines are key molecules within the tumor microenvironment (TME) that can be used as biomarkers to predict the magnitude of anti-tumor immune responses. During immune monitoring, it has been customary to predict outcomes based on the abundance of a single cytokine, in particular IFN-γ or TGF-β, as a readout of ongoing anti-cancer immunity. However, individual cytokines within the TME can exhibit dual opposing roles. For example, both IFN-γ and TGF-β have been associated with pro- and anti-tumor functions. Moreover, cytokines originating from different cellular sources influence the crosstalk between CD4<sup<+</sup< and CD8<sup<+</sup< T cells, while the array of cytokines expressed by T cells is also instrumental in defining the mechanisms of action and efficacy of treatments. Thus, it becomes increasingly clear that a reliable readout of ongoing immunity within the TME will have to include more than the measurement of a single cytokine. This review focuses on defining a panel of cytokines that could help to reliably predict and analyze the outcomes of T cell-based anti-tumor therapies.
abstractGer	Cytokines are key molecules within the tumor microenvironment (TME) that can be used as biomarkers to predict the magnitude of anti-tumor immune responses. During immune monitoring, it has been customary to predict outcomes based on the abundance of a single cytokine, in particular IFN-γ or TGF-β, as a readout of ongoing anti-cancer immunity. However, individual cytokines within the TME can exhibit dual opposing roles. For example, both IFN-γ and TGF-β have been associated with pro- and anti-tumor functions. Moreover, cytokines originating from different cellular sources influence the crosstalk between CD4<sup<+</sup< and CD8<sup<+</sup< T cells, while the array of cytokines expressed by T cells is also instrumental in defining the mechanisms of action and efficacy of treatments. Thus, it becomes increasingly clear that a reliable readout of ongoing immunity within the TME will have to include more than the measurement of a single cytokine. This review focuses on defining a panel of cytokines that could help to reliably predict and analyze the outcomes of T cell-based anti-tumor therapies.
abstract_unstemmed	Cytokines are key molecules within the tumor microenvironment (TME) that can be used as biomarkers to predict the magnitude of anti-tumor immune responses. During immune monitoring, it has been customary to predict outcomes based on the abundance of a single cytokine, in particular IFN-γ or TGF-β, as a readout of ongoing anti-cancer immunity. However, individual cytokines within the TME can exhibit dual opposing roles. For example, both IFN-γ and TGF-β have been associated with pro- and anti-tumor functions. Moreover, cytokines originating from different cellular sources influence the crosstalk between CD4<sup<+</sup< and CD8<sup<+</sup< T cells, while the array of cytokines expressed by T cells is also instrumental in defining the mechanisms of action and efficacy of treatments. Thus, it becomes increasingly clear that a reliable readout of ongoing immunity within the TME will have to include more than the measurement of a single cytokine. This review focuses on defining a panel of cytokines that could help to reliably predict and analyze the outcomes of T cell-based anti-tumor therapies.
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title_short	A Palette of Cytokines to Measure Anti-Tumor Efficacy of T Cell-Based Therapeutics
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A Palette of Cytokines to Measure Anti-Tumor Efficacy of T Cell-Based Therapeutics

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