Soluble Immune Checkpoints, Gut Metabolites and Performance Status as Parameters of Response to Nivolumab Treatment in NSCLC Patients
Patients with non-small cell lung cancer (NSCLC) have been shown to benefit from the introduction of anti-PD1 treatment. However, not all patients experience tumor regression and durable response. The identification of a string of markers that are direct or indirect indicators of the immune system f...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ilaria Grazia Zizzari [verfasserIn] Alessandra Di Filippo [verfasserIn] Fabio Scirocchi [verfasserIn] Francesca Romana Di Pietro [verfasserIn] Hassan Rahimi [verfasserIn] Alessio Ugolini [verfasserIn] Simone Scagnoli [verfasserIn] Pamela Vernocchi [verfasserIn] Federica Del Chierico [verfasserIn] Lorenza Putignani [verfasserIn] Aurelia Rughetti [verfasserIn] Paolo Marchetti [verfasserIn] Marianna Nuti [verfasserIn] Andrea Botticelli [verfasserIn] Chiara Napoletano [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: Journal of Personalized Medicine - MDPI AG, 2012, 10(2020), 4, p 208 |
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| Übergeordnetes Werk: |
volume:10 ; year:2020 ; number:4, p 208 |
| Links: |
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| DOI / URN: |
10.3390/jpm10040208 |
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| Katalog-ID: |
DOAJ081186983 |
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| 520 | |a Patients with non-small cell lung cancer (NSCLC) have been shown to benefit from the introduction of anti-PD1 treatment. However, not all patients experience tumor regression and durable response. The identification of a string of markers that are direct or indirect indicators of the immune system fitness is needed to choose optimal therapeutic schedules in the management of NSCLC patients. We analyzed 34 immuno-related molecules (14 soluble immune checkpoints, 17 cytokines/chemokines, 3 adhesion molecules) released in the serum of 22 NSCLC patients under Nivolumab treatment and the gut metabolomic profile at baseline. These parameters were correlated with performance status (PS) and/or response to treatment. Nivolumab affected the release of soluble immune checkpoints (sICs). Patients with a better clinical outcome and with an optimal PS (PS = 0) showed a decreased level of PD1 and maintained low levels of several sICs at first clinical evaluation. Low levels of PDL1, PDL2, Tim3, CD137 and BTLA4 were also correlated with a long response to treatment. Moreover, responding patients showed a high proportion of eubiosis-associated gut metabolites. In this exploratory study, we propose a combination of immunological and clinical parameters (sICs, PS and gut metabolites) for the identification of patients more suitable for Nivolumab treatment. This string of parameters validated in a network analysis on a larger cohort of patients could help oncologists to improve their decision-making in an NSCLC setting. | ||
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10.3390/jpm10040208 doi (DE-627)DOAJ081186983 (DE-599)DOAJ37ea2900ff7647afba34afa4546dac88 DE-627 ger DE-627 rakwb eng Ilaria Grazia Zizzari verfasserin aut Soluble Immune Checkpoints, Gut Metabolites and Performance Status as Parameters of Response to Nivolumab Treatment in NSCLC Patients 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Patients with non-small cell lung cancer (NSCLC) have been shown to benefit from the introduction of anti-PD1 treatment. However, not all patients experience tumor regression and durable response. The identification of a string of markers that are direct or indirect indicators of the immune system fitness is needed to choose optimal therapeutic schedules in the management of NSCLC patients. We analyzed 34 immuno-related molecules (14 soluble immune checkpoints, 17 cytokines/chemokines, 3 adhesion molecules) released in the serum of 22 NSCLC patients under Nivolumab treatment and the gut metabolomic profile at baseline. These parameters were correlated with performance status (PS) and/or response to treatment. Nivolumab affected the release of soluble immune checkpoints (sICs). Patients with a better clinical outcome and with an optimal PS (PS = 0) showed a decreased level of PD1 and maintained low levels of several sICs at first clinical evaluation. Low levels of PDL1, PDL2, Tim3, CD137 and BTLA4 were also correlated with a long response to treatment. Moreover, responding patients showed a high proportion of eubiosis-associated gut metabolites. In this exploratory study, we propose a combination of immunological and clinical parameters (sICs, PS and gut metabolites) for the identification of patients more suitable for Nivolumab treatment. This string of parameters validated in a network analysis on a larger cohort of patients could help oncologists to improve their decision-making in an NSCLC setting. non-small cell lung cancer soluble immune checkpoints biomarkers immune checkpoint inhibitors gut metabolites immunotherapy Medicine R Alessandra Di Filippo verfasserin aut Fabio Scirocchi verfasserin aut Francesca Romana Di Pietro verfasserin aut Hassan Rahimi verfasserin aut Alessio Ugolini verfasserin aut Simone Scagnoli verfasserin aut Pamela Vernocchi verfasserin aut Federica Del Chierico verfasserin aut Lorenza Putignani verfasserin aut Aurelia Rughetti verfasserin aut Paolo Marchetti verfasserin aut Marianna Nuti verfasserin aut Andrea Botticelli verfasserin aut Chiara Napoletano verfasserin aut In Journal of Personalized Medicine MDPI AG, 2012 10(2020), 4, p 208 (DE-627)71862713X (DE-600)2662248-8 20754426 nnns volume:10 year:2020 number:4, p 208 https://doi.org/10.3390/jpm10040208 kostenfrei https://doaj.org/article/37ea2900ff7647afba34afa4546dac88 kostenfrei https://www.mdpi.com/2075-4426/10/4/208 kostenfrei https://doaj.org/toc/2075-4426 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_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 10 2020 4, p 208 |
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10.3390/jpm10040208 doi (DE-627)DOAJ081186983 (DE-599)DOAJ37ea2900ff7647afba34afa4546dac88 DE-627 ger DE-627 rakwb eng Ilaria Grazia Zizzari verfasserin aut Soluble Immune Checkpoints, Gut Metabolites and Performance Status as Parameters of Response to Nivolumab Treatment in NSCLC Patients 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Patients with non-small cell lung cancer (NSCLC) have been shown to benefit from the introduction of anti-PD1 treatment. However, not all patients experience tumor regression and durable response. The identification of a string of markers that are direct or indirect indicators of the immune system fitness is needed to choose optimal therapeutic schedules in the management of NSCLC patients. We analyzed 34 immuno-related molecules (14 soluble immune checkpoints, 17 cytokines/chemokines, 3 adhesion molecules) released in the serum of 22 NSCLC patients under Nivolumab treatment and the gut metabolomic profile at baseline. These parameters were correlated with performance status (PS) and/or response to treatment. Nivolumab affected the release of soluble immune checkpoints (sICs). Patients with a better clinical outcome and with an optimal PS (PS = 0) showed a decreased level of PD1 and maintained low levels of several sICs at first clinical evaluation. Low levels of PDL1, PDL2, Tim3, CD137 and BTLA4 were also correlated with a long response to treatment. Moreover, responding patients showed a high proportion of eubiosis-associated gut metabolites. In this exploratory study, we propose a combination of immunological and clinical parameters (sICs, PS and gut metabolites) for the identification of patients more suitable for Nivolumab treatment. This string of parameters validated in a network analysis on a larger cohort of patients could help oncologists to improve their decision-making in an NSCLC setting. non-small cell lung cancer soluble immune checkpoints biomarkers immune checkpoint inhibitors gut metabolites immunotherapy Medicine R Alessandra Di Filippo verfasserin aut Fabio Scirocchi verfasserin aut Francesca Romana Di Pietro verfasserin aut Hassan Rahimi verfasserin aut Alessio Ugolini verfasserin aut Simone Scagnoli verfasserin aut Pamela Vernocchi verfasserin aut Federica Del Chierico verfasserin aut Lorenza Putignani verfasserin aut Aurelia Rughetti verfasserin aut Paolo Marchetti verfasserin aut Marianna Nuti verfasserin aut Andrea Botticelli verfasserin aut Chiara Napoletano verfasserin aut In Journal of Personalized Medicine MDPI AG, 2012 10(2020), 4, p 208 (DE-627)71862713X (DE-600)2662248-8 20754426 nnns volume:10 year:2020 number:4, p 208 https://doi.org/10.3390/jpm10040208 kostenfrei https://doaj.org/article/37ea2900ff7647afba34afa4546dac88 kostenfrei https://www.mdpi.com/2075-4426/10/4/208 kostenfrei https://doaj.org/toc/2075-4426 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_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 10 2020 4, p 208 |
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10.3390/jpm10040208 doi (DE-627)DOAJ081186983 (DE-599)DOAJ37ea2900ff7647afba34afa4546dac88 DE-627 ger DE-627 rakwb eng Ilaria Grazia Zizzari verfasserin aut Soluble Immune Checkpoints, Gut Metabolites and Performance Status as Parameters of Response to Nivolumab Treatment in NSCLC Patients 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Patients with non-small cell lung cancer (NSCLC) have been shown to benefit from the introduction of anti-PD1 treatment. However, not all patients experience tumor regression and durable response. The identification of a string of markers that are direct or indirect indicators of the immune system fitness is needed to choose optimal therapeutic schedules in the management of NSCLC patients. We analyzed 34 immuno-related molecules (14 soluble immune checkpoints, 17 cytokines/chemokines, 3 adhesion molecules) released in the serum of 22 NSCLC patients under Nivolumab treatment and the gut metabolomic profile at baseline. These parameters were correlated with performance status (PS) and/or response to treatment. Nivolumab affected the release of soluble immune checkpoints (sICs). Patients with a better clinical outcome and with an optimal PS (PS = 0) showed a decreased level of PD1 and maintained low levels of several sICs at first clinical evaluation. Low levels of PDL1, PDL2, Tim3, CD137 and BTLA4 were also correlated with a long response to treatment. Moreover, responding patients showed a high proportion of eubiosis-associated gut metabolites. In this exploratory study, we propose a combination of immunological and clinical parameters (sICs, PS and gut metabolites) for the identification of patients more suitable for Nivolumab treatment. This string of parameters validated in a network analysis on a larger cohort of patients could help oncologists to improve their decision-making in an NSCLC setting. non-small cell lung cancer soluble immune checkpoints biomarkers immune checkpoint inhibitors gut metabolites immunotherapy Medicine R Alessandra Di Filippo verfasserin aut Fabio Scirocchi verfasserin aut Francesca Romana Di Pietro verfasserin aut Hassan Rahimi verfasserin aut Alessio Ugolini verfasserin aut Simone Scagnoli verfasserin aut Pamela Vernocchi verfasserin aut Federica Del Chierico verfasserin aut Lorenza Putignani verfasserin aut Aurelia Rughetti verfasserin aut Paolo Marchetti verfasserin aut Marianna Nuti verfasserin aut Andrea Botticelli verfasserin aut Chiara Napoletano verfasserin aut In Journal of Personalized Medicine MDPI AG, 2012 10(2020), 4, p 208 (DE-627)71862713X (DE-600)2662248-8 20754426 nnns volume:10 year:2020 number:4, p 208 https://doi.org/10.3390/jpm10040208 kostenfrei https://doaj.org/article/37ea2900ff7647afba34afa4546dac88 kostenfrei https://www.mdpi.com/2075-4426/10/4/208 kostenfrei https://doaj.org/toc/2075-4426 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_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 10 2020 4, p 208 |
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10.3390/jpm10040208 doi (DE-627)DOAJ081186983 (DE-599)DOAJ37ea2900ff7647afba34afa4546dac88 DE-627 ger DE-627 rakwb eng Ilaria Grazia Zizzari verfasserin aut Soluble Immune Checkpoints, Gut Metabolites and Performance Status as Parameters of Response to Nivolumab Treatment in NSCLC Patients 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Patients with non-small cell lung cancer (NSCLC) have been shown to benefit from the introduction of anti-PD1 treatment. However, not all patients experience tumor regression and durable response. The identification of a string of markers that are direct or indirect indicators of the immune system fitness is needed to choose optimal therapeutic schedules in the management of NSCLC patients. We analyzed 34 immuno-related molecules (14 soluble immune checkpoints, 17 cytokines/chemokines, 3 adhesion molecules) released in the serum of 22 NSCLC patients under Nivolumab treatment and the gut metabolomic profile at baseline. These parameters were correlated with performance status (PS) and/or response to treatment. Nivolumab affected the release of soluble immune checkpoints (sICs). Patients with a better clinical outcome and with an optimal PS (PS = 0) showed a decreased level of PD1 and maintained low levels of several sICs at first clinical evaluation. Low levels of PDL1, PDL2, Tim3, CD137 and BTLA4 were also correlated with a long response to treatment. Moreover, responding patients showed a high proportion of eubiosis-associated gut metabolites. In this exploratory study, we propose a combination of immunological and clinical parameters (sICs, PS and gut metabolites) for the identification of patients more suitable for Nivolumab treatment. This string of parameters validated in a network analysis on a larger cohort of patients could help oncologists to improve their decision-making in an NSCLC setting. non-small cell lung cancer soluble immune checkpoints biomarkers immune checkpoint inhibitors gut metabolites immunotherapy Medicine R Alessandra Di Filippo verfasserin aut Fabio Scirocchi verfasserin aut Francesca Romana Di Pietro verfasserin aut Hassan Rahimi verfasserin aut Alessio Ugolini verfasserin aut Simone Scagnoli verfasserin aut Pamela Vernocchi verfasserin aut Federica Del Chierico verfasserin aut Lorenza Putignani verfasserin aut Aurelia Rughetti verfasserin aut Paolo Marchetti verfasserin aut Marianna Nuti verfasserin aut Andrea Botticelli verfasserin aut Chiara Napoletano verfasserin aut In Journal of Personalized Medicine MDPI AG, 2012 10(2020), 4, p 208 (DE-627)71862713X (DE-600)2662248-8 20754426 nnns volume:10 year:2020 number:4, p 208 https://doi.org/10.3390/jpm10040208 kostenfrei https://doaj.org/article/37ea2900ff7647afba34afa4546dac88 kostenfrei https://www.mdpi.com/2075-4426/10/4/208 kostenfrei https://doaj.org/toc/2075-4426 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_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 10 2020 4, p 208 |
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Soluble Immune Checkpoints, Gut Metabolites and Performance Status as Parameters of Response to Nivolumab Treatment in NSCLC Patients |
| abstract |
Patients with non-small cell lung cancer (NSCLC) have been shown to benefit from the introduction of anti-PD1 treatment. However, not all patients experience tumor regression and durable response. The identification of a string of markers that are direct or indirect indicators of the immune system fitness is needed to choose optimal therapeutic schedules in the management of NSCLC patients. We analyzed 34 immuno-related molecules (14 soluble immune checkpoints, 17 cytokines/chemokines, 3 adhesion molecules) released in the serum of 22 NSCLC patients under Nivolumab treatment and the gut metabolomic profile at baseline. These parameters were correlated with performance status (PS) and/or response to treatment. Nivolumab affected the release of soluble immune checkpoints (sICs). Patients with a better clinical outcome and with an optimal PS (PS = 0) showed a decreased level of PD1 and maintained low levels of several sICs at first clinical evaluation. Low levels of PDL1, PDL2, Tim3, CD137 and BTLA4 were also correlated with a long response to treatment. Moreover, responding patients showed a high proportion of eubiosis-associated gut metabolites. In this exploratory study, we propose a combination of immunological and clinical parameters (sICs, PS and gut metabolites) for the identification of patients more suitable for Nivolumab treatment. This string of parameters validated in a network analysis on a larger cohort of patients could help oncologists to improve their decision-making in an NSCLC setting. |
| abstractGer |
Patients with non-small cell lung cancer (NSCLC) have been shown to benefit from the introduction of anti-PD1 treatment. However, not all patients experience tumor regression and durable response. The identification of a string of markers that are direct or indirect indicators of the immune system fitness is needed to choose optimal therapeutic schedules in the management of NSCLC patients. We analyzed 34 immuno-related molecules (14 soluble immune checkpoints, 17 cytokines/chemokines, 3 adhesion molecules) released in the serum of 22 NSCLC patients under Nivolumab treatment and the gut metabolomic profile at baseline. These parameters were correlated with performance status (PS) and/or response to treatment. Nivolumab affected the release of soluble immune checkpoints (sICs). Patients with a better clinical outcome and with an optimal PS (PS = 0) showed a decreased level of PD1 and maintained low levels of several sICs at first clinical evaluation. Low levels of PDL1, PDL2, Tim3, CD137 and BTLA4 were also correlated with a long response to treatment. Moreover, responding patients showed a high proportion of eubiosis-associated gut metabolites. In this exploratory study, we propose a combination of immunological and clinical parameters (sICs, PS and gut metabolites) for the identification of patients more suitable for Nivolumab treatment. This string of parameters validated in a network analysis on a larger cohort of patients could help oncologists to improve their decision-making in an NSCLC setting. |
| abstract_unstemmed |
Patients with non-small cell lung cancer (NSCLC) have been shown to benefit from the introduction of anti-PD1 treatment. However, not all patients experience tumor regression and durable response. The identification of a string of markers that are direct or indirect indicators of the immune system fitness is needed to choose optimal therapeutic schedules in the management of NSCLC patients. We analyzed 34 immuno-related molecules (14 soluble immune checkpoints, 17 cytokines/chemokines, 3 adhesion molecules) released in the serum of 22 NSCLC patients under Nivolumab treatment and the gut metabolomic profile at baseline. These parameters were correlated with performance status (PS) and/or response to treatment. Nivolumab affected the release of soluble immune checkpoints (sICs). Patients with a better clinical outcome and with an optimal PS (PS = 0) showed a decreased level of PD1 and maintained low levels of several sICs at first clinical evaluation. Low levels of PDL1, PDL2, Tim3, CD137 and BTLA4 were also correlated with a long response to treatment. Moreover, responding patients showed a high proportion of eubiosis-associated gut metabolites. In this exploratory study, we propose a combination of immunological and clinical parameters (sICs, PS and gut metabolites) for the identification of patients more suitable for Nivolumab treatment. This string of parameters validated in a network analysis on a larger cohort of patients could help oncologists to improve their decision-making in an NSCLC setting. |
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| container_issue |
4, p 208 |
| title_short |
Soluble Immune Checkpoints, Gut Metabolites and Performance Status as Parameters of Response to Nivolumab Treatment in NSCLC Patients |
| url |
https://doi.org/10.3390/jpm10040208 https://doaj.org/article/37ea2900ff7647afba34afa4546dac88 https://www.mdpi.com/2075-4426/10/4/208 https://doaj.org/toc/2075-4426 |
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Alessandra Di Filippo Fabio Scirocchi Francesca Romana Di Pietro Hassan Rahimi Alessio Ugolini Simone Scagnoli Pamela Vernocchi Federica Del Chierico Lorenza Putignani Aurelia Rughetti Paolo Marchetti Marianna Nuti Andrea Botticelli Chiara Napoletano |
| author2Str |
Alessandra Di Filippo Fabio Scirocchi Francesca Romana Di Pietro Hassan Rahimi Alessio Ugolini Simone Scagnoli Pamela Vernocchi Federica Del Chierico Lorenza Putignani Aurelia Rughetti Paolo Marchetti Marianna Nuti Andrea Botticelli Chiara Napoletano |
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| doi_str |
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| up_date |
2024-07-03T18:45:03.248Z |
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