A nomogram to predict survival in non-small cell lung cancer patients treated with nivolumab
Abstract Background The advent of immune checkpoint inhibitors (ICIs) has considerably expanded the armamentarium against non-small cell lung cancer (NSCLC) contributing to reshaping treatment paradigms in the advanced disease setting. While promising tissue- and plasma-based biomarkers are under in...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Andrea Botticelli [verfasserIn] Massimiliano Salati [verfasserIn] Francesca Romana Di Pietro [verfasserIn] Lidia Strigari [verfasserIn] Bruna Cerbelli [verfasserIn] Ilaria Grazia Zizzari [verfasserIn] Raffaele Giusti [verfasserIn] Marco Mazzotta [verfasserIn] Federica Mazzuca [verfasserIn] Michela Roberto [verfasserIn] Patrizia Vici [verfasserIn] Laura Pizzuti [verfasserIn] Marianna Nuti [verfasserIn] Paolo Marchetti [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: Journal of Translational Medicine - BMC, 2003, 17(2019), 1, Seite 8 |
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| Übergeordnetes Werk: |
volume:17 ; year:2019 ; number:1 ; pages:8 |
| Links: |
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| DOI / URN: |
10.1186/s12967-019-1847-x |
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| Katalog-ID: |
DOAJ005234204 |
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| 245 | 1 | 2 | |a A nomogram to predict survival in non-small cell lung cancer patients treated with nivolumab |
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| 520 | |a Abstract Background The advent of immune checkpoint inhibitors (ICIs) has considerably expanded the armamentarium against non-small cell lung cancer (NSCLC) contributing to reshaping treatment paradigms in the advanced disease setting. While promising tissue- and plasma-based biomarkers are under investigation, no reliable predictive factor is currently available to aid in treatment selection. Methods Patients with stage IIIB–IV NSCLC receiving nivolumab at Sant’Andrea Hospital and Regina Elena National Cancer Institute from June 2016 to July 2017 were enrolled onto this study. Major clinicopathological parameters were retrieved and correlated with patients’ survival outcomes in order to assess their prognostic value and build a useful tool to assist in the decision making process. Results A total of 102 patients were included in this study. The median age was 69 years (range 44–85 years), 69 (68%) were male and 52% had ECOG PS 0. Loco-regional/distant lymph nodes were the most commonly involved site of metastasis (71%), followed by lung parenchyma (67%) and bone (26%). Overall survival (OS) in the whole patients’ population was 83.6%, 63.2% and 46.9% at 3, 6 and 12 months, respectively; while progression-free survival (PFS) was 66.5%, 44.4% and 26.4% at 3, 6 and 12 months, respectively. At univariate analysis, age ≥ 69 years (P = 0.057), ECOG PS (P < 0.001), the presence of liver (P < 0.001), lung (P = 0.017) metastases, lymph nodes only involvement (P = 0.0145) were significantly associated with OS and ECOG PS (P < 0.001) and liver metastases (P < 0.001), retained statistical significance at multivariate analysis. A prognostic nomogram based on three variables (liver and lung metastases and ECOG PS) was built to assign survival probability at 3, 6, and 12 months after nivolumab treatment commencement. Conclusion We developed a nomogram based on easily available and inexpensive clinical factors showing a good performance in predicting individual OS probability among NSCLC patients treated with nivolumab. This prognostic device could be valuable to clinicians in more accurately driving treatment decision in daily practice as well as enrollment onto clinical trials. | ||
| 650 | 4 | |a Immunotherapy | |
| 650 | 4 | |a Lung cancer | |
| 650 | 4 | |a Prognostic factors | |
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| 700 | 0 | |a Bruna Cerbelli |e verfasserin |4 aut | |
| 700 | 0 | |a Ilaria Grazia Zizzari |e verfasserin |4 aut | |
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| 700 | 0 | |a Federica Mazzuca |e verfasserin |4 aut | |
| 700 | 0 | |a Michela Roberto |e verfasserin |4 aut | |
| 700 | 0 | |a Patrizia Vici |e verfasserin |4 aut | |
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| 700 | 0 | |a Marianna Nuti |e verfasserin |4 aut | |
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10.1186/s12967-019-1847-x doi (DE-627)DOAJ005234204 (DE-599)DOAJae7233dbb49d41dc850585b62ce3d8ba DE-627 ger DE-627 rakwb eng Andrea Botticelli verfasserin aut A nomogram to predict survival in non-small cell lung cancer patients treated with nivolumab 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background The advent of immune checkpoint inhibitors (ICIs) has considerably expanded the armamentarium against non-small cell lung cancer (NSCLC) contributing to reshaping treatment paradigms in the advanced disease setting. While promising tissue- and plasma-based biomarkers are under investigation, no reliable predictive factor is currently available to aid in treatment selection. Methods Patients with stage IIIB–IV NSCLC receiving nivolumab at Sant’Andrea Hospital and Regina Elena National Cancer Institute from June 2016 to July 2017 were enrolled onto this study. Major clinicopathological parameters were retrieved and correlated with patients’ survival outcomes in order to assess their prognostic value and build a useful tool to assist in the decision making process. Results A total of 102 patients were included in this study. The median age was 69 years (range 44–85 years), 69 (68%) were male and 52% had ECOG PS 0. Loco-regional/distant lymph nodes were the most commonly involved site of metastasis (71%), followed by lung parenchyma (67%) and bone (26%). Overall survival (OS) in the whole patients’ population was 83.6%, 63.2% and 46.9% at 3, 6 and 12 months, respectively; while progression-free survival (PFS) was 66.5%, 44.4% and 26.4% at 3, 6 and 12 months, respectively. At univariate analysis, age ≥ 69 years (P = 0.057), ECOG PS (P < 0.001), the presence of liver (P < 0.001), lung (P = 0.017) metastases, lymph nodes only involvement (P = 0.0145) were significantly associated with OS and ECOG PS (P < 0.001) and liver metastases (P < 0.001), retained statistical significance at multivariate analysis. A prognostic nomogram based on three variables (liver and lung metastases and ECOG PS) was built to assign survival probability at 3, 6, and 12 months after nivolumab treatment commencement. Conclusion We developed a nomogram based on easily available and inexpensive clinical factors showing a good performance in predicting individual OS probability among NSCLC patients treated with nivolumab. This prognostic device could be valuable to clinicians in more accurately driving treatment decision in daily practice as well as enrollment onto clinical trials. Immunotherapy Lung cancer Prognostic factors Nivolumab Nomogram Medicine R Massimiliano Salati verfasserin aut Francesca Romana Di Pietro verfasserin aut Lidia Strigari verfasserin aut Bruna Cerbelli verfasserin aut Ilaria Grazia Zizzari verfasserin aut Raffaele Giusti verfasserin aut Marco Mazzotta verfasserin aut Federica Mazzuca verfasserin aut Michela Roberto verfasserin aut Patrizia Vici verfasserin aut Laura Pizzuti verfasserin aut Marianna Nuti verfasserin aut Paolo Marchetti verfasserin aut In Journal of Translational Medicine BMC, 2003 17(2019), 1, Seite 8 (DE-627)369084136 (DE-600)2118570-0 14795876 nnns volume:17 year:2019 number:1 pages:8 https://doi.org/10.1186/s12967-019-1847-x kostenfrei https://doaj.org/article/ae7233dbb49d41dc850585b62ce3d8ba kostenfrei http://link.springer.com/article/10.1186/s12967-019-1847-x kostenfrei https://doaj.org/toc/1479-5876 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 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_2003 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 17 2019 1 8 |
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10.1186/s12967-019-1847-x doi (DE-627)DOAJ005234204 (DE-599)DOAJae7233dbb49d41dc850585b62ce3d8ba DE-627 ger DE-627 rakwb eng Andrea Botticelli verfasserin aut A nomogram to predict survival in non-small cell lung cancer patients treated with nivolumab 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background The advent of immune checkpoint inhibitors (ICIs) has considerably expanded the armamentarium against non-small cell lung cancer (NSCLC) contributing to reshaping treatment paradigms in the advanced disease setting. While promising tissue- and plasma-based biomarkers are under investigation, no reliable predictive factor is currently available to aid in treatment selection. Methods Patients with stage IIIB–IV NSCLC receiving nivolumab at Sant’Andrea Hospital and Regina Elena National Cancer Institute from June 2016 to July 2017 were enrolled onto this study. Major clinicopathological parameters were retrieved and correlated with patients’ survival outcomes in order to assess their prognostic value and build a useful tool to assist in the decision making process. Results A total of 102 patients were included in this study. The median age was 69 years (range 44–85 years), 69 (68%) were male and 52% had ECOG PS 0. Loco-regional/distant lymph nodes were the most commonly involved site of metastasis (71%), followed by lung parenchyma (67%) and bone (26%). Overall survival (OS) in the whole patients’ population was 83.6%, 63.2% and 46.9% at 3, 6 and 12 months, respectively; while progression-free survival (PFS) was 66.5%, 44.4% and 26.4% at 3, 6 and 12 months, respectively. At univariate analysis, age ≥ 69 years (P = 0.057), ECOG PS (P < 0.001), the presence of liver (P < 0.001), lung (P = 0.017) metastases, lymph nodes only involvement (P = 0.0145) were significantly associated with OS and ECOG PS (P < 0.001) and liver metastases (P < 0.001), retained statistical significance at multivariate analysis. A prognostic nomogram based on three variables (liver and lung metastases and ECOG PS) was built to assign survival probability at 3, 6, and 12 months after nivolumab treatment commencement. Conclusion We developed a nomogram based on easily available and inexpensive clinical factors showing a good performance in predicting individual OS probability among NSCLC patients treated with nivolumab. This prognostic device could be valuable to clinicians in more accurately driving treatment decision in daily practice as well as enrollment onto clinical trials. Immunotherapy Lung cancer Prognostic factors Nivolumab Nomogram Medicine R Massimiliano Salati verfasserin aut Francesca Romana Di Pietro verfasserin aut Lidia Strigari verfasserin aut Bruna Cerbelli verfasserin aut Ilaria Grazia Zizzari verfasserin aut Raffaele Giusti verfasserin aut Marco Mazzotta verfasserin aut Federica Mazzuca verfasserin aut Michela Roberto verfasserin aut Patrizia Vici verfasserin aut Laura Pizzuti verfasserin aut Marianna Nuti verfasserin aut Paolo Marchetti verfasserin aut In Journal of Translational Medicine BMC, 2003 17(2019), 1, Seite 8 (DE-627)369084136 (DE-600)2118570-0 14795876 nnns volume:17 year:2019 number:1 pages:8 https://doi.org/10.1186/s12967-019-1847-x kostenfrei https://doaj.org/article/ae7233dbb49d41dc850585b62ce3d8ba kostenfrei http://link.springer.com/article/10.1186/s12967-019-1847-x kostenfrei https://doaj.org/toc/1479-5876 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 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_2003 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 17 2019 1 8 |
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10.1186/s12967-019-1847-x doi (DE-627)DOAJ005234204 (DE-599)DOAJae7233dbb49d41dc850585b62ce3d8ba DE-627 ger DE-627 rakwb eng Andrea Botticelli verfasserin aut A nomogram to predict survival in non-small cell lung cancer patients treated with nivolumab 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background The advent of immune checkpoint inhibitors (ICIs) has considerably expanded the armamentarium against non-small cell lung cancer (NSCLC) contributing to reshaping treatment paradigms in the advanced disease setting. While promising tissue- and plasma-based biomarkers are under investigation, no reliable predictive factor is currently available to aid in treatment selection. Methods Patients with stage IIIB–IV NSCLC receiving nivolumab at Sant’Andrea Hospital and Regina Elena National Cancer Institute from June 2016 to July 2017 were enrolled onto this study. Major clinicopathological parameters were retrieved and correlated with patients’ survival outcomes in order to assess their prognostic value and build a useful tool to assist in the decision making process. Results A total of 102 patients were included in this study. The median age was 69 years (range 44–85 years), 69 (68%) were male and 52% had ECOG PS 0. Loco-regional/distant lymph nodes were the most commonly involved site of metastasis (71%), followed by lung parenchyma (67%) and bone (26%). Overall survival (OS) in the whole patients’ population was 83.6%, 63.2% and 46.9% at 3, 6 and 12 months, respectively; while progression-free survival (PFS) was 66.5%, 44.4% and 26.4% at 3, 6 and 12 months, respectively. At univariate analysis, age ≥ 69 years (P = 0.057), ECOG PS (P < 0.001), the presence of liver (P < 0.001), lung (P = 0.017) metastases, lymph nodes only involvement (P = 0.0145) were significantly associated with OS and ECOG PS (P < 0.001) and liver metastases (P < 0.001), retained statistical significance at multivariate analysis. A prognostic nomogram based on three variables (liver and lung metastases and ECOG PS) was built to assign survival probability at 3, 6, and 12 months after nivolumab treatment commencement. Conclusion We developed a nomogram based on easily available and inexpensive clinical factors showing a good performance in predicting individual OS probability among NSCLC patients treated with nivolumab. This prognostic device could be valuable to clinicians in more accurately driving treatment decision in daily practice as well as enrollment onto clinical trials. Immunotherapy Lung cancer Prognostic factors Nivolumab Nomogram Medicine R Massimiliano Salati verfasserin aut Francesca Romana Di Pietro verfasserin aut Lidia Strigari verfasserin aut Bruna Cerbelli verfasserin aut Ilaria Grazia Zizzari verfasserin aut Raffaele Giusti verfasserin aut Marco Mazzotta verfasserin aut Federica Mazzuca verfasserin aut Michela Roberto verfasserin aut Patrizia Vici verfasserin aut Laura Pizzuti verfasserin aut Marianna Nuti verfasserin aut Paolo Marchetti verfasserin aut In Journal of Translational Medicine BMC, 2003 17(2019), 1, Seite 8 (DE-627)369084136 (DE-600)2118570-0 14795876 nnns volume:17 year:2019 number:1 pages:8 https://doi.org/10.1186/s12967-019-1847-x kostenfrei https://doaj.org/article/ae7233dbb49d41dc850585b62ce3d8ba kostenfrei http://link.springer.com/article/10.1186/s12967-019-1847-x kostenfrei https://doaj.org/toc/1479-5876 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 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_2003 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 17 2019 1 8 |
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10.1186/s12967-019-1847-x doi (DE-627)DOAJ005234204 (DE-599)DOAJae7233dbb49d41dc850585b62ce3d8ba DE-627 ger DE-627 rakwb eng Andrea Botticelli verfasserin aut A nomogram to predict survival in non-small cell lung cancer patients treated with nivolumab 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background The advent of immune checkpoint inhibitors (ICIs) has considerably expanded the armamentarium against non-small cell lung cancer (NSCLC) contributing to reshaping treatment paradigms in the advanced disease setting. While promising tissue- and plasma-based biomarkers are under investigation, no reliable predictive factor is currently available to aid in treatment selection. Methods Patients with stage IIIB–IV NSCLC receiving nivolumab at Sant’Andrea Hospital and Regina Elena National Cancer Institute from June 2016 to July 2017 were enrolled onto this study. Major clinicopathological parameters were retrieved and correlated with patients’ survival outcomes in order to assess their prognostic value and build a useful tool to assist in the decision making process. Results A total of 102 patients were included in this study. The median age was 69 years (range 44–85 years), 69 (68%) were male and 52% had ECOG PS 0. Loco-regional/distant lymph nodes were the most commonly involved site of metastasis (71%), followed by lung parenchyma (67%) and bone (26%). Overall survival (OS) in the whole patients’ population was 83.6%, 63.2% and 46.9% at 3, 6 and 12 months, respectively; while progression-free survival (PFS) was 66.5%, 44.4% and 26.4% at 3, 6 and 12 months, respectively. At univariate analysis, age ≥ 69 years (P = 0.057), ECOG PS (P < 0.001), the presence of liver (P < 0.001), lung (P = 0.017) metastases, lymph nodes only involvement (P = 0.0145) were significantly associated with OS and ECOG PS (P < 0.001) and liver metastases (P < 0.001), retained statistical significance at multivariate analysis. A prognostic nomogram based on three variables (liver and lung metastases and ECOG PS) was built to assign survival probability at 3, 6, and 12 months after nivolumab treatment commencement. Conclusion We developed a nomogram based on easily available and inexpensive clinical factors showing a good performance in predicting individual OS probability among NSCLC patients treated with nivolumab. This prognostic device could be valuable to clinicians in more accurately driving treatment decision in daily practice as well as enrollment onto clinical trials. Immunotherapy Lung cancer Prognostic factors Nivolumab Nomogram Medicine R Massimiliano Salati verfasserin aut Francesca Romana Di Pietro verfasserin aut Lidia Strigari verfasserin aut Bruna Cerbelli verfasserin aut Ilaria Grazia Zizzari verfasserin aut Raffaele Giusti verfasserin aut Marco Mazzotta verfasserin aut Federica Mazzuca verfasserin aut Michela Roberto verfasserin aut Patrizia Vici verfasserin aut Laura Pizzuti verfasserin aut Marianna Nuti verfasserin aut Paolo Marchetti verfasserin aut In Journal of Translational Medicine BMC, 2003 17(2019), 1, Seite 8 (DE-627)369084136 (DE-600)2118570-0 14795876 nnns volume:17 year:2019 number:1 pages:8 https://doi.org/10.1186/s12967-019-1847-x kostenfrei https://doaj.org/article/ae7233dbb49d41dc850585b62ce3d8ba kostenfrei http://link.springer.com/article/10.1186/s12967-019-1847-x kostenfrei https://doaj.org/toc/1479-5876 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 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_2003 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 17 2019 1 8 |
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10.1186/s12967-019-1847-x doi (DE-627)DOAJ005234204 (DE-599)DOAJae7233dbb49d41dc850585b62ce3d8ba DE-627 ger DE-627 rakwb eng Andrea Botticelli verfasserin aut A nomogram to predict survival in non-small cell lung cancer patients treated with nivolumab 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background The advent of immune checkpoint inhibitors (ICIs) has considerably expanded the armamentarium against non-small cell lung cancer (NSCLC) contributing to reshaping treatment paradigms in the advanced disease setting. While promising tissue- and plasma-based biomarkers are under investigation, no reliable predictive factor is currently available to aid in treatment selection. Methods Patients with stage IIIB–IV NSCLC receiving nivolumab at Sant’Andrea Hospital and Regina Elena National Cancer Institute from June 2016 to July 2017 were enrolled onto this study. Major clinicopathological parameters were retrieved and correlated with patients’ survival outcomes in order to assess their prognostic value and build a useful tool to assist in the decision making process. Results A total of 102 patients were included in this study. The median age was 69 years (range 44–85 years), 69 (68%) were male and 52% had ECOG PS 0. Loco-regional/distant lymph nodes were the most commonly involved site of metastasis (71%), followed by lung parenchyma (67%) and bone (26%). Overall survival (OS) in the whole patients’ population was 83.6%, 63.2% and 46.9% at 3, 6 and 12 months, respectively; while progression-free survival (PFS) was 66.5%, 44.4% and 26.4% at 3, 6 and 12 months, respectively. At univariate analysis, age ≥ 69 years (P = 0.057), ECOG PS (P < 0.001), the presence of liver (P < 0.001), lung (P = 0.017) metastases, lymph nodes only involvement (P = 0.0145) were significantly associated with OS and ECOG PS (P < 0.001) and liver metastases (P < 0.001), retained statistical significance at multivariate analysis. A prognostic nomogram based on three variables (liver and lung metastases and ECOG PS) was built to assign survival probability at 3, 6, and 12 months after nivolumab treatment commencement. Conclusion We developed a nomogram based on easily available and inexpensive clinical factors showing a good performance in predicting individual OS probability among NSCLC patients treated with nivolumab. This prognostic device could be valuable to clinicians in more accurately driving treatment decision in daily practice as well as enrollment onto clinical trials. Immunotherapy Lung cancer Prognostic factors Nivolumab Nomogram Medicine R Massimiliano Salati verfasserin aut Francesca Romana Di Pietro verfasserin aut Lidia Strigari verfasserin aut Bruna Cerbelli verfasserin aut Ilaria Grazia Zizzari verfasserin aut Raffaele Giusti verfasserin aut Marco Mazzotta verfasserin aut Federica Mazzuca verfasserin aut Michela Roberto verfasserin aut Patrizia Vici verfasserin aut Laura Pizzuti verfasserin aut Marianna Nuti verfasserin aut Paolo Marchetti verfasserin aut In Journal of Translational Medicine BMC, 2003 17(2019), 1, Seite 8 (DE-627)369084136 (DE-600)2118570-0 14795876 nnns volume:17 year:2019 number:1 pages:8 https://doi.org/10.1186/s12967-019-1847-x kostenfrei https://doaj.org/article/ae7233dbb49d41dc850585b62ce3d8ba kostenfrei http://link.springer.com/article/10.1186/s12967-019-1847-x kostenfrei https://doaj.org/toc/1479-5876 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 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_2003 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 17 2019 1 8 |
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Andrea Botticelli @@aut@@ Massimiliano Salati @@aut@@ Francesca Romana Di Pietro @@aut@@ Lidia Strigari @@aut@@ Bruna Cerbelli @@aut@@ Ilaria Grazia Zizzari @@aut@@ Raffaele Giusti @@aut@@ Marco Mazzotta @@aut@@ Federica Mazzuca @@aut@@ Michela Roberto @@aut@@ Patrizia Vici @@aut@@ Laura Pizzuti @@aut@@ Marianna Nuti @@aut@@ Paolo Marchetti @@aut@@ |
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A nomogram to predict survival in non-small cell lung cancer patients treated with nivolumab Immunotherapy Lung cancer Prognostic factors Nivolumab Nomogram |
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Andrea Botticelli Massimiliano Salati Francesca Romana Di Pietro Lidia Strigari Bruna Cerbelli Ilaria Grazia Zizzari Raffaele Giusti Marco Mazzotta Federica Mazzuca Michela Roberto Patrizia Vici Laura Pizzuti Marianna Nuti Paolo Marchetti |
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nomogram to predict survival in non-small cell lung cancer patients treated with nivolumab |
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A nomogram to predict survival in non-small cell lung cancer patients treated with nivolumab |
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Abstract Background The advent of immune checkpoint inhibitors (ICIs) has considerably expanded the armamentarium against non-small cell lung cancer (NSCLC) contributing to reshaping treatment paradigms in the advanced disease setting. While promising tissue- and plasma-based biomarkers are under investigation, no reliable predictive factor is currently available to aid in treatment selection. Methods Patients with stage IIIB–IV NSCLC receiving nivolumab at Sant’Andrea Hospital and Regina Elena National Cancer Institute from June 2016 to July 2017 were enrolled onto this study. Major clinicopathological parameters were retrieved and correlated with patients’ survival outcomes in order to assess their prognostic value and build a useful tool to assist in the decision making process. Results A total of 102 patients were included in this study. The median age was 69 years (range 44–85 years), 69 (68%) were male and 52% had ECOG PS 0. Loco-regional/distant lymph nodes were the most commonly involved site of metastasis (71%), followed by lung parenchyma (67%) and bone (26%). Overall survival (OS) in the whole patients’ population was 83.6%, 63.2% and 46.9% at 3, 6 and 12 months, respectively; while progression-free survival (PFS) was 66.5%, 44.4% and 26.4% at 3, 6 and 12 months, respectively. At univariate analysis, age ≥ 69 years (P = 0.057), ECOG PS (P < 0.001), the presence of liver (P < 0.001), lung (P = 0.017) metastases, lymph nodes only involvement (P = 0.0145) were significantly associated with OS and ECOG PS (P < 0.001) and liver metastases (P < 0.001), retained statistical significance at multivariate analysis. A prognostic nomogram based on three variables (liver and lung metastases and ECOG PS) was built to assign survival probability at 3, 6, and 12 months after nivolumab treatment commencement. Conclusion We developed a nomogram based on easily available and inexpensive clinical factors showing a good performance in predicting individual OS probability among NSCLC patients treated with nivolumab. This prognostic device could be valuable to clinicians in more accurately driving treatment decision in daily practice as well as enrollment onto clinical trials. |
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Abstract Background The advent of immune checkpoint inhibitors (ICIs) has considerably expanded the armamentarium against non-small cell lung cancer (NSCLC) contributing to reshaping treatment paradigms in the advanced disease setting. While promising tissue- and plasma-based biomarkers are under investigation, no reliable predictive factor is currently available to aid in treatment selection. Methods Patients with stage IIIB–IV NSCLC receiving nivolumab at Sant’Andrea Hospital and Regina Elena National Cancer Institute from June 2016 to July 2017 were enrolled onto this study. Major clinicopathological parameters were retrieved and correlated with patients’ survival outcomes in order to assess their prognostic value and build a useful tool to assist in the decision making process. Results A total of 102 patients were included in this study. The median age was 69 years (range 44–85 years), 69 (68%) were male and 52% had ECOG PS 0. Loco-regional/distant lymph nodes were the most commonly involved site of metastasis (71%), followed by lung parenchyma (67%) and bone (26%). Overall survival (OS) in the whole patients’ population was 83.6%, 63.2% and 46.9% at 3, 6 and 12 months, respectively; while progression-free survival (PFS) was 66.5%, 44.4% and 26.4% at 3, 6 and 12 months, respectively. At univariate analysis, age ≥ 69 years (P = 0.057), ECOG PS (P < 0.001), the presence of liver (P < 0.001), lung (P = 0.017) metastases, lymph nodes only involvement (P = 0.0145) were significantly associated with OS and ECOG PS (P < 0.001) and liver metastases (P < 0.001), retained statistical significance at multivariate analysis. A prognostic nomogram based on three variables (liver and lung metastases and ECOG PS) was built to assign survival probability at 3, 6, and 12 months after nivolumab treatment commencement. Conclusion We developed a nomogram based on easily available and inexpensive clinical factors showing a good performance in predicting individual OS probability among NSCLC patients treated with nivolumab. This prognostic device could be valuable to clinicians in more accurately driving treatment decision in daily practice as well as enrollment onto clinical trials. |
| abstract_unstemmed |
Abstract Background The advent of immune checkpoint inhibitors (ICIs) has considerably expanded the armamentarium against non-small cell lung cancer (NSCLC) contributing to reshaping treatment paradigms in the advanced disease setting. While promising tissue- and plasma-based biomarkers are under investigation, no reliable predictive factor is currently available to aid in treatment selection. Methods Patients with stage IIIB–IV NSCLC receiving nivolumab at Sant’Andrea Hospital and Regina Elena National Cancer Institute from June 2016 to July 2017 were enrolled onto this study. Major clinicopathological parameters were retrieved and correlated with patients’ survival outcomes in order to assess their prognostic value and build a useful tool to assist in the decision making process. Results A total of 102 patients were included in this study. The median age was 69 years (range 44–85 years), 69 (68%) were male and 52% had ECOG PS 0. Loco-regional/distant lymph nodes were the most commonly involved site of metastasis (71%), followed by lung parenchyma (67%) and bone (26%). Overall survival (OS) in the whole patients’ population was 83.6%, 63.2% and 46.9% at 3, 6 and 12 months, respectively; while progression-free survival (PFS) was 66.5%, 44.4% and 26.4% at 3, 6 and 12 months, respectively. At univariate analysis, age ≥ 69 years (P = 0.057), ECOG PS (P < 0.001), the presence of liver (P < 0.001), lung (P = 0.017) metastases, lymph nodes only involvement (P = 0.0145) were significantly associated with OS and ECOG PS (P < 0.001) and liver metastases (P < 0.001), retained statistical significance at multivariate analysis. A prognostic nomogram based on three variables (liver and lung metastases and ECOG PS) was built to assign survival probability at 3, 6, and 12 months after nivolumab treatment commencement. Conclusion We developed a nomogram based on easily available and inexpensive clinical factors showing a good performance in predicting individual OS probability among NSCLC patients treated with nivolumab. This prognostic device could be valuable to clinicians in more accurately driving treatment decision in daily practice as well as enrollment onto clinical trials. |
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