Update of a prognostic survival model in head and neck squamous cell carcinoma patients treated with immune checkpoint inhibitors using an expansion cohort

Background Immune checkpoint inhibitors (ICI) treatment in recurrent/metastatic (R/M) head and neck squamous cell carcinoma (HNSCC) offers new therapeutic venues. We have previously developed a predictive survival model in this patient population based on clinical parameters, and the purpose of this...
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Autor*in:	Issa, Majd [verfasserIn] Klamer, Brett G. Mladkova, Nikol Laliotis, Georgios I. Karivedu, Vidhya Bhateja, Priyanka Byington, Chase Dibs, Khaled Pan, Xueliang Chakravarti, Arnab Grecula, John Jhawar, Sachin R. Mitchell, Darrion Baliga, Sujith Old, Matthew Carrau, Ricardo L. Rocco, James W. Blakaj, Dukagjin M. Bonomi, Marcelo

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Head and neck cancer Head and neck squamous cell carcinoma Immunotherpay Immune checkpoint inhibitors Survival in head and neck cancer

Anmerkung:	© The Author(s) 2022

Übergeordnetes Werk:	Enthalten in: BMC cancer - London : BioMed Central, 2001, 22(2022), 1 vom: 14. Juli
Übergeordnetes Werk:	volume:22 ; year:2022 ; number:1 ; day:14 ; month:07

Links:	Volltext

DOI / URN:	10.1186/s12885-022-09809-5

Katalog-ID:	SPR05085268X

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245	1	0	\|a Update of a prognostic survival model in head and neck squamous cell carcinoma patients treated with immune checkpoint inhibitors using an expansion cohort
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520			\|a Background Immune checkpoint inhibitors (ICI) treatment in recurrent/metastatic (R/M) head and neck squamous cell carcinoma (HNSCC) offers new therapeutic venues. We have previously developed a predictive survival model in this patient population based on clinical parameters, and the purpose of this study was to expand the study cohort and internally validate the model. Methods A single institutional retrospective analysis of R/M HNSCC patients treated with ICI. Clinical parameters collected included p-16 status, hemoglobin (Hb), albumin (Alb), lactate dehydrogenase (LDH), neutrophil, lymphocyte and platelet counts. Cox proportional hazard regression was used to assess the impact of patient characteristics and clinical variables on survival. A nomogram was created using the rms package to generate individualized survival prediction. Results 201 patients were included, 47 females (23%), 154 males (77%). Median age was 61 years (IQR: 55-68). P-16 negative (66%). Median OS was 12 months (95% CI: 9.4, 14.9). Updated OS model included age, sex, absolute neutrophil count, absolute lymphocyte count, albumin, hemoglobin, LDH, and p-16 status. We stratified patients into three risk groups based on this model at the 0.33 and 0.66 quantiles. Median OS in the optimal risk group reached 23.7 months (CI: 18.5, NR), 13.8 months (CI: 11.1, 20.3) in the average risk group, and 2.3 months (CI: 1.7, 4.4) in the high-risk group. Following internal validation, the discriminatory power of the model reached a c-index of 0.72 and calibration slope of 0.79. Conclusions Our updated nomogram could assist in the precise selection of patients for which ICI could be beneficial and cost-effective.
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700	1		\|a Jhawar, Sachin R. \|4 aut
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700	1		\|a Carrau, Ricardo L. \|4 aut
700	1		\|a Rocco, James W. \|4 aut
700	1		\|a Blakaj, Dukagjin M. \|4 aut
700	1		\|a Bonomi, Marcelo \|4 aut
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allfields	10.1186/s12885-022-09809-5 doi (DE-627)SPR05085268X (SPR)s12885-022-09809-5-e DE-627 ger DE-627 rakwb eng Issa, Majd verfasserin aut Update of a prognostic survival model in head and neck squamous cell carcinoma patients treated with immune checkpoint inhibitors using an expansion cohort 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Immune checkpoint inhibitors (ICI) treatment in recurrent/metastatic (R/M) head and neck squamous cell carcinoma (HNSCC) offers new therapeutic venues. We have previously developed a predictive survival model in this patient population based on clinical parameters, and the purpose of this study was to expand the study cohort and internally validate the model. Methods A single institutional retrospective analysis of R/M HNSCC patients treated with ICI. Clinical parameters collected included p-16 status, hemoglobin (Hb), albumin (Alb), lactate dehydrogenase (LDH), neutrophil, lymphocyte and platelet counts. Cox proportional hazard regression was used to assess the impact of patient characteristics and clinical variables on survival. A nomogram was created using the rms package to generate individualized survival prediction. Results 201 patients were included, 47 females (23%), 154 males (77%). Median age was 61 years (IQR: 55-68). P-16 negative (66%). Median OS was 12 months (95% CI: 9.4, 14.9). Updated OS model included age, sex, absolute neutrophil count, absolute lymphocyte count, albumin, hemoglobin, LDH, and p-16 status. We stratified patients into three risk groups based on this model at the 0.33 and 0.66 quantiles. Median OS in the optimal risk group reached 23.7 months (CI: 18.5, NR), 13.8 months (CI: 11.1, 20.3) in the average risk group, and 2.3 months (CI: 1.7, 4.4) in the high-risk group. Following internal validation, the discriminatory power of the model reached a c-index of 0.72 and calibration slope of 0.79. Conclusions Our updated nomogram could assist in the precise selection of patients for which ICI could be beneficial and cost-effective. Head and neck cancer (dpeaa)DE-He213 Head and neck squamous cell carcinoma (dpeaa)DE-He213 Immunotherpay (dpeaa)DE-He213 Immune checkpoint inhibitors (dpeaa)DE-He213 Survival in head and neck cancer (dpeaa)DE-He213 Klamer, Brett G. aut Mladkova, Nikol aut Laliotis, Georgios I. aut Karivedu, Vidhya aut Bhateja, Priyanka aut Byington, Chase aut Dibs, Khaled aut Pan, Xueliang aut Chakravarti, Arnab aut Grecula, John aut Jhawar, Sachin R. aut Mitchell, Darrion aut Baliga, Sujith aut Old, Matthew aut Carrau, Ricardo L. aut Rocco, James W. aut Blakaj, Dukagjin M. aut Bonomi, Marcelo aut Enthalten in BMC cancer London : BioMed Central, 2001 22(2022), 1 vom: 14. Juli (DE-627)326643710 (DE-600)2041352-X 1471-2407 nnns volume:22 year:2022 number:1 day:14 month:07 https://dx.doi.org/10.1186/s12885-022-09809-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 22 2022 1 14 07
spelling	10.1186/s12885-022-09809-5 doi (DE-627)SPR05085268X (SPR)s12885-022-09809-5-e DE-627 ger DE-627 rakwb eng Issa, Majd verfasserin aut Update of a prognostic survival model in head and neck squamous cell carcinoma patients treated with immune checkpoint inhibitors using an expansion cohort 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Immune checkpoint inhibitors (ICI) treatment in recurrent/metastatic (R/M) head and neck squamous cell carcinoma (HNSCC) offers new therapeutic venues. We have previously developed a predictive survival model in this patient population based on clinical parameters, and the purpose of this study was to expand the study cohort and internally validate the model. Methods A single institutional retrospective analysis of R/M HNSCC patients treated with ICI. Clinical parameters collected included p-16 status, hemoglobin (Hb), albumin (Alb), lactate dehydrogenase (LDH), neutrophil, lymphocyte and platelet counts. Cox proportional hazard regression was used to assess the impact of patient characteristics and clinical variables on survival. A nomogram was created using the rms package to generate individualized survival prediction. Results 201 patients were included, 47 females (23%), 154 males (77%). Median age was 61 years (IQR: 55-68). P-16 negative (66%). Median OS was 12 months (95% CI: 9.4, 14.9). Updated OS model included age, sex, absolute neutrophil count, absolute lymphocyte count, albumin, hemoglobin, LDH, and p-16 status. We stratified patients into three risk groups based on this model at the 0.33 and 0.66 quantiles. Median OS in the optimal risk group reached 23.7 months (CI: 18.5, NR), 13.8 months (CI: 11.1, 20.3) in the average risk group, and 2.3 months (CI: 1.7, 4.4) in the high-risk group. Following internal validation, the discriminatory power of the model reached a c-index of 0.72 and calibration slope of 0.79. Conclusions Our updated nomogram could assist in the precise selection of patients for which ICI could be beneficial and cost-effective. Head and neck cancer (dpeaa)DE-He213 Head and neck squamous cell carcinoma (dpeaa)DE-He213 Immunotherpay (dpeaa)DE-He213 Immune checkpoint inhibitors (dpeaa)DE-He213 Survival in head and neck cancer (dpeaa)DE-He213 Klamer, Brett G. aut Mladkova, Nikol aut Laliotis, Georgios I. aut Karivedu, Vidhya aut Bhateja, Priyanka aut Byington, Chase aut Dibs, Khaled aut Pan, Xueliang aut Chakravarti, Arnab aut Grecula, John aut Jhawar, Sachin R. aut Mitchell, Darrion aut Baliga, Sujith aut Old, Matthew aut Carrau, Ricardo L. aut Rocco, James W. aut Blakaj, Dukagjin M. aut Bonomi, Marcelo aut Enthalten in BMC cancer London : BioMed Central, 2001 22(2022), 1 vom: 14. Juli (DE-627)326643710 (DE-600)2041352-X 1471-2407 nnns volume:22 year:2022 number:1 day:14 month:07 https://dx.doi.org/10.1186/s12885-022-09809-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 22 2022 1 14 07
allfields_unstemmed	10.1186/s12885-022-09809-5 doi (DE-627)SPR05085268X (SPR)s12885-022-09809-5-e DE-627 ger DE-627 rakwb eng Issa, Majd verfasserin aut Update of a prognostic survival model in head and neck squamous cell carcinoma patients treated with immune checkpoint inhibitors using an expansion cohort 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Immune checkpoint inhibitors (ICI) treatment in recurrent/metastatic (R/M) head and neck squamous cell carcinoma (HNSCC) offers new therapeutic venues. We have previously developed a predictive survival model in this patient population based on clinical parameters, and the purpose of this study was to expand the study cohort and internally validate the model. Methods A single institutional retrospective analysis of R/M HNSCC patients treated with ICI. Clinical parameters collected included p-16 status, hemoglobin (Hb), albumin (Alb), lactate dehydrogenase (LDH), neutrophil, lymphocyte and platelet counts. Cox proportional hazard regression was used to assess the impact of patient characteristics and clinical variables on survival. A nomogram was created using the rms package to generate individualized survival prediction. Results 201 patients were included, 47 females (23%), 154 males (77%). Median age was 61 years (IQR: 55-68). P-16 negative (66%). Median OS was 12 months (95% CI: 9.4, 14.9). Updated OS model included age, sex, absolute neutrophil count, absolute lymphocyte count, albumin, hemoglobin, LDH, and p-16 status. We stratified patients into three risk groups based on this model at the 0.33 and 0.66 quantiles. Median OS in the optimal risk group reached 23.7 months (CI: 18.5, NR), 13.8 months (CI: 11.1, 20.3) in the average risk group, and 2.3 months (CI: 1.7, 4.4) in the high-risk group. Following internal validation, the discriminatory power of the model reached a c-index of 0.72 and calibration slope of 0.79. Conclusions Our updated nomogram could assist in the precise selection of patients for which ICI could be beneficial and cost-effective. Head and neck cancer (dpeaa)DE-He213 Head and neck squamous cell carcinoma (dpeaa)DE-He213 Immunotherpay (dpeaa)DE-He213 Immune checkpoint inhibitors (dpeaa)DE-He213 Survival in head and neck cancer (dpeaa)DE-He213 Klamer, Brett G. aut Mladkova, Nikol aut Laliotis, Georgios I. aut Karivedu, Vidhya aut Bhateja, Priyanka aut Byington, Chase aut Dibs, Khaled aut Pan, Xueliang aut Chakravarti, Arnab aut Grecula, John aut Jhawar, Sachin R. aut Mitchell, Darrion aut Baliga, Sujith aut Old, Matthew aut Carrau, Ricardo L. aut Rocco, James W. aut Blakaj, Dukagjin M. aut Bonomi, Marcelo aut Enthalten in BMC cancer London : BioMed Central, 2001 22(2022), 1 vom: 14. Juli (DE-627)326643710 (DE-600)2041352-X 1471-2407 nnns volume:22 year:2022 number:1 day:14 month:07 https://dx.doi.org/10.1186/s12885-022-09809-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 22 2022 1 14 07
allfieldsGer	10.1186/s12885-022-09809-5 doi (DE-627)SPR05085268X (SPR)s12885-022-09809-5-e DE-627 ger DE-627 rakwb eng Issa, Majd verfasserin aut Update of a prognostic survival model in head and neck squamous cell carcinoma patients treated with immune checkpoint inhibitors using an expansion cohort 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Immune checkpoint inhibitors (ICI) treatment in recurrent/metastatic (R/M) head and neck squamous cell carcinoma (HNSCC) offers new therapeutic venues. We have previously developed a predictive survival model in this patient population based on clinical parameters, and the purpose of this study was to expand the study cohort and internally validate the model. Methods A single institutional retrospective analysis of R/M HNSCC patients treated with ICI. Clinical parameters collected included p-16 status, hemoglobin (Hb), albumin (Alb), lactate dehydrogenase (LDH), neutrophil, lymphocyte and platelet counts. Cox proportional hazard regression was used to assess the impact of patient characteristics and clinical variables on survival. A nomogram was created using the rms package to generate individualized survival prediction. Results 201 patients were included, 47 females (23%), 154 males (77%). Median age was 61 years (IQR: 55-68). P-16 negative (66%). Median OS was 12 months (95% CI: 9.4, 14.9). Updated OS model included age, sex, absolute neutrophil count, absolute lymphocyte count, albumin, hemoglobin, LDH, and p-16 status. We stratified patients into three risk groups based on this model at the 0.33 and 0.66 quantiles. Median OS in the optimal risk group reached 23.7 months (CI: 18.5, NR), 13.8 months (CI: 11.1, 20.3) in the average risk group, and 2.3 months (CI: 1.7, 4.4) in the high-risk group. Following internal validation, the discriminatory power of the model reached a c-index of 0.72 and calibration slope of 0.79. Conclusions Our updated nomogram could assist in the precise selection of patients for which ICI could be beneficial and cost-effective. Head and neck cancer (dpeaa)DE-He213 Head and neck squamous cell carcinoma (dpeaa)DE-He213 Immunotherpay (dpeaa)DE-He213 Immune checkpoint inhibitors (dpeaa)DE-He213 Survival in head and neck cancer (dpeaa)DE-He213 Klamer, Brett G. aut Mladkova, Nikol aut Laliotis, Georgios I. aut Karivedu, Vidhya aut Bhateja, Priyanka aut Byington, Chase aut Dibs, Khaled aut Pan, Xueliang aut Chakravarti, Arnab aut Grecula, John aut Jhawar, Sachin R. aut Mitchell, Darrion aut Baliga, Sujith aut Old, Matthew aut Carrau, Ricardo L. aut Rocco, James W. aut Blakaj, Dukagjin M. aut Bonomi, Marcelo aut Enthalten in BMC cancer London : BioMed Central, 2001 22(2022), 1 vom: 14. Juli (DE-627)326643710 (DE-600)2041352-X 1471-2407 nnns volume:22 year:2022 number:1 day:14 month:07 https://dx.doi.org/10.1186/s12885-022-09809-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 22 2022 1 14 07
allfieldsSound	10.1186/s12885-022-09809-5 doi (DE-627)SPR05085268X (SPR)s12885-022-09809-5-e DE-627 ger DE-627 rakwb eng Issa, Majd verfasserin aut Update of a prognostic survival model in head and neck squamous cell carcinoma patients treated with immune checkpoint inhibitors using an expansion cohort 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Immune checkpoint inhibitors (ICI) treatment in recurrent/metastatic (R/M) head and neck squamous cell carcinoma (HNSCC) offers new therapeutic venues. We have previously developed a predictive survival model in this patient population based on clinical parameters, and the purpose of this study was to expand the study cohort and internally validate the model. Methods A single institutional retrospective analysis of R/M HNSCC patients treated with ICI. Clinical parameters collected included p-16 status, hemoglobin (Hb), albumin (Alb), lactate dehydrogenase (LDH), neutrophil, lymphocyte and platelet counts. Cox proportional hazard regression was used to assess the impact of patient characteristics and clinical variables on survival. A nomogram was created using the rms package to generate individualized survival prediction. Results 201 patients were included, 47 females (23%), 154 males (77%). Median age was 61 years (IQR: 55-68). P-16 negative (66%). Median OS was 12 months (95% CI: 9.4, 14.9). Updated OS model included age, sex, absolute neutrophil count, absolute lymphocyte count, albumin, hemoglobin, LDH, and p-16 status. We stratified patients into three risk groups based on this model at the 0.33 and 0.66 quantiles. Median OS in the optimal risk group reached 23.7 months (CI: 18.5, NR), 13.8 months (CI: 11.1, 20.3) in the average risk group, and 2.3 months (CI: 1.7, 4.4) in the high-risk group. Following internal validation, the discriminatory power of the model reached a c-index of 0.72 and calibration slope of 0.79. Conclusions Our updated nomogram could assist in the precise selection of patients for which ICI could be beneficial and cost-effective. Head and neck cancer (dpeaa)DE-He213 Head and neck squamous cell carcinoma (dpeaa)DE-He213 Immunotherpay (dpeaa)DE-He213 Immune checkpoint inhibitors (dpeaa)DE-He213 Survival in head and neck cancer (dpeaa)DE-He213 Klamer, Brett G. aut Mladkova, Nikol aut Laliotis, Georgios I. aut Karivedu, Vidhya aut Bhateja, Priyanka aut Byington, Chase aut Dibs, Khaled aut Pan, Xueliang aut Chakravarti, Arnab aut Grecula, John aut Jhawar, Sachin R. aut Mitchell, Darrion aut Baliga, Sujith aut Old, Matthew aut Carrau, Ricardo L. aut Rocco, James W. aut Blakaj, Dukagjin M. aut Bonomi, Marcelo aut Enthalten in BMC cancer London : BioMed Central, 2001 22(2022), 1 vom: 14. Juli (DE-627)326643710 (DE-600)2041352-X 1471-2407 nnns volume:22 year:2022 number:1 day:14 month:07 https://dx.doi.org/10.1186/s12885-022-09809-5 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 22 2022 1 14 07
language	English
source	Enthalten in BMC cancer 22(2022), 1 vom: 14. Juli volume:22 year:2022 number:1 day:14 month:07
sourceStr	Enthalten in BMC cancer 22(2022), 1 vom: 14. Juli volume:22 year:2022 number:1 day:14 month:07
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Head and neck cancer Head and neck squamous cell carcinoma Immunotherpay Immune checkpoint inhibitors Survival in head and neck cancer
isfreeaccess_bool	true
container_title	BMC cancer
authorswithroles_txt_mv	Issa, Majd @@aut@@ Klamer, Brett G. @@aut@@ Mladkova, Nikol @@aut@@ Laliotis, Georgios I. @@aut@@ Karivedu, Vidhya @@aut@@ Bhateja, Priyanka @@aut@@ Byington, Chase @@aut@@ Dibs, Khaled @@aut@@ Pan, Xueliang @@aut@@ Chakravarti, Arnab @@aut@@ Grecula, John @@aut@@ Jhawar, Sachin R. @@aut@@ Mitchell, Darrion @@aut@@ Baliga, Sujith @@aut@@ Old, Matthew @@aut@@ Carrau, Ricardo L. @@aut@@ Rocco, James W. @@aut@@ Blakaj, Dukagjin M. @@aut@@ Bonomi, Marcelo @@aut@@
publishDateDaySort_date	2022-07-14T00:00:00Z
hierarchy_top_id	326643710
id	SPR05085268X
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">SPR05085268X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230507232412.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230507s2022 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/s12885-022-09809-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR05085268X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s12885-022-09809-5-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Issa, Majd</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Update of a prognostic survival model in head and neck squamous cell carcinoma patients treated with immune checkpoint inhibitors using an expansion cohort</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2022</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background Immune checkpoint inhibitors (ICI) treatment in recurrent/metastatic (R/M) head and neck squamous cell carcinoma (HNSCC) offers new therapeutic venues. We have previously developed a predictive survival model in this patient population based on clinical parameters, and the purpose of this study was to expand the study cohort and internally validate the model. Methods A single institutional retrospective analysis of R/M HNSCC patients treated with ICI. Clinical parameters collected included p-16 status, hemoglobin (Hb), albumin (Alb), lactate dehydrogenase (LDH), neutrophil, lymphocyte and platelet counts. Cox proportional hazard regression was used to assess the impact of patient characteristics and clinical variables on survival. A nomogram was created using the rms package to generate individualized survival prediction. Results 201 patients were included, 47 females (23%), 154 males (77%). Median age was 61 years (IQR: 55-68). P-16 negative (66%). Median OS was 12 months (95% CI: 9.4, 14.9). Updated OS model included age, sex, absolute neutrophil count, absolute lymphocyte count, albumin, hemoglobin, LDH, and p-16 status. We stratified patients into three risk groups based on this model at the 0.33 and 0.66 quantiles. Median OS in the optimal risk group reached 23.7 months (CI: 18.5, NR), 13.8 months (CI: 11.1, 20.3) in the average risk group, and 2.3 months (CI: 1.7, 4.4) in the high-risk group. Following internal validation, the discriminatory power of the model reached a c-index of 0.72 and calibration slope of 0.79. 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author	Issa, Majd
spellingShingle	Issa, Majd misc Head and neck cancer misc Head and neck squamous cell carcinoma misc Immunotherpay misc Immune checkpoint inhibitors misc Survival in head and neck cancer Update of a prognostic survival model in head and neck squamous cell carcinoma patients treated with immune checkpoint inhibitors using an expansion cohort
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topic_title	Update of a prognostic survival model in head and neck squamous cell carcinoma patients treated with immune checkpoint inhibitors using an expansion cohort Head and neck cancer (dpeaa)DE-He213 Head and neck squamous cell carcinoma (dpeaa)DE-He213 Immunotherpay (dpeaa)DE-He213 Immune checkpoint inhibitors (dpeaa)DE-He213 Survival in head and neck cancer (dpeaa)DE-He213
topic	misc Head and neck cancer misc Head and neck squamous cell carcinoma misc Immunotherpay misc Immune checkpoint inhibitors misc Survival in head and neck cancer
topic_unstemmed	misc Head and neck cancer misc Head and neck squamous cell carcinoma misc Immunotherpay misc Immune checkpoint inhibitors misc Survival in head and neck cancer
topic_browse	misc Head and neck cancer misc Head and neck squamous cell carcinoma misc Immunotherpay misc Immune checkpoint inhibitors misc Survival in head and neck cancer
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title	Update of a prognostic survival model in head and neck squamous cell carcinoma patients treated with immune checkpoint inhibitors using an expansion cohort
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title_full	Update of a prognostic survival model in head and neck squamous cell carcinoma patients treated with immune checkpoint inhibitors using an expansion cohort
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author_browse	Issa, Majd Klamer, Brett G. Mladkova, Nikol Laliotis, Georgios I. Karivedu, Vidhya Bhateja, Priyanka Byington, Chase Dibs, Khaled Pan, Xueliang Chakravarti, Arnab Grecula, John Jhawar, Sachin R. Mitchell, Darrion Baliga, Sujith Old, Matthew Carrau, Ricardo L. Rocco, James W. Blakaj, Dukagjin M. Bonomi, Marcelo
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doi_str_mv	10.1186/s12885-022-09809-5
title_sort	update of a prognostic survival model in head and neck squamous cell carcinoma patients treated with immune checkpoint inhibitors using an expansion cohort
title_auth	Update of a prognostic survival model in head and neck squamous cell carcinoma patients treated with immune checkpoint inhibitors using an expansion cohort
abstract	Background Immune checkpoint inhibitors (ICI) treatment in recurrent/metastatic (R/M) head and neck squamous cell carcinoma (HNSCC) offers new therapeutic venues. We have previously developed a predictive survival model in this patient population based on clinical parameters, and the purpose of this study was to expand the study cohort and internally validate the model. Methods A single institutional retrospective analysis of R/M HNSCC patients treated with ICI. Clinical parameters collected included p-16 status, hemoglobin (Hb), albumin (Alb), lactate dehydrogenase (LDH), neutrophil, lymphocyte and platelet counts. Cox proportional hazard regression was used to assess the impact of patient characteristics and clinical variables on survival. A nomogram was created using the rms package to generate individualized survival prediction. Results 201 patients were included, 47 females (23%), 154 males (77%). Median age was 61 years (IQR: 55-68). P-16 negative (66%). Median OS was 12 months (95% CI: 9.4, 14.9). Updated OS model included age, sex, absolute neutrophil count, absolute lymphocyte count, albumin, hemoglobin, LDH, and p-16 status. We stratified patients into three risk groups based on this model at the 0.33 and 0.66 quantiles. Median OS in the optimal risk group reached 23.7 months (CI: 18.5, NR), 13.8 months (CI: 11.1, 20.3) in the average risk group, and 2.3 months (CI: 1.7, 4.4) in the high-risk group. Following internal validation, the discriminatory power of the model reached a c-index of 0.72 and calibration slope of 0.79. Conclusions Our updated nomogram could assist in the precise selection of patients for which ICI could be beneficial and cost-effective. © The Author(s) 2022
abstractGer	Background Immune checkpoint inhibitors (ICI) treatment in recurrent/metastatic (R/M) head and neck squamous cell carcinoma (HNSCC) offers new therapeutic venues. We have previously developed a predictive survival model in this patient population based on clinical parameters, and the purpose of this study was to expand the study cohort and internally validate the model. Methods A single institutional retrospective analysis of R/M HNSCC patients treated with ICI. Clinical parameters collected included p-16 status, hemoglobin (Hb), albumin (Alb), lactate dehydrogenase (LDH), neutrophil, lymphocyte and platelet counts. Cox proportional hazard regression was used to assess the impact of patient characteristics and clinical variables on survival. A nomogram was created using the rms package to generate individualized survival prediction. Results 201 patients were included, 47 females (23%), 154 males (77%). Median age was 61 years (IQR: 55-68). P-16 negative (66%). Median OS was 12 months (95% CI: 9.4, 14.9). Updated OS model included age, sex, absolute neutrophil count, absolute lymphocyte count, albumin, hemoglobin, LDH, and p-16 status. We stratified patients into three risk groups based on this model at the 0.33 and 0.66 quantiles. Median OS in the optimal risk group reached 23.7 months (CI: 18.5, NR), 13.8 months (CI: 11.1, 20.3) in the average risk group, and 2.3 months (CI: 1.7, 4.4) in the high-risk group. Following internal validation, the discriminatory power of the model reached a c-index of 0.72 and calibration slope of 0.79. Conclusions Our updated nomogram could assist in the precise selection of patients for which ICI could be beneficial and cost-effective. © The Author(s) 2022
abstract_unstemmed	Background Immune checkpoint inhibitors (ICI) treatment in recurrent/metastatic (R/M) head and neck squamous cell carcinoma (HNSCC) offers new therapeutic venues. We have previously developed a predictive survival model in this patient population based on clinical parameters, and the purpose of this study was to expand the study cohort and internally validate the model. Methods A single institutional retrospective analysis of R/M HNSCC patients treated with ICI. Clinical parameters collected included p-16 status, hemoglobin (Hb), albumin (Alb), lactate dehydrogenase (LDH), neutrophil, lymphocyte and platelet counts. Cox proportional hazard regression was used to assess the impact of patient characteristics and clinical variables on survival. A nomogram was created using the rms package to generate individualized survival prediction. Results 201 patients were included, 47 females (23%), 154 males (77%). Median age was 61 years (IQR: 55-68). P-16 negative (66%). Median OS was 12 months (95% CI: 9.4, 14.9). Updated OS model included age, sex, absolute neutrophil count, absolute lymphocyte count, albumin, hemoglobin, LDH, and p-16 status. We stratified patients into three risk groups based on this model at the 0.33 and 0.66 quantiles. Median OS in the optimal risk group reached 23.7 months (CI: 18.5, NR), 13.8 months (CI: 11.1, 20.3) in the average risk group, and 2.3 months (CI: 1.7, 4.4) in the high-risk group. Following internal validation, the discriminatory power of the model reached a c-index of 0.72 and calibration slope of 0.79. Conclusions Our updated nomogram could assist in the precise selection of patients for which ICI could be beneficial and cost-effective. © The Author(s) 2022
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title_short	Update of a prognostic survival model in head and neck squamous cell carcinoma patients treated with immune checkpoint inhibitors using an expansion cohort
url	https://dx.doi.org/10.1186/s12885-022-09809-5
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author2	Klamer, Brett G. Mladkova, Nikol Laliotis, Georgios I. Karivedu, Vidhya Bhateja, Priyanka Byington, Chase Dibs, Khaled Pan, Xueliang Chakravarti, Arnab Grecula, John Jhawar, Sachin R. Mitchell, Darrion Baliga, Sujith Old, Matthew Carrau, Ricardo L. Rocco, James W. Blakaj, Dukagjin M. Bonomi, Marcelo
author2Str	Klamer, Brett G. Mladkova, Nikol Laliotis, Georgios I. Karivedu, Vidhya Bhateja, Priyanka Byington, Chase Dibs, Khaled Pan, Xueliang Chakravarti, Arnab Grecula, John Jhawar, Sachin R. Mitchell, Darrion Baliga, Sujith Old, Matthew Carrau, Ricardo L. Rocco, James W. Blakaj, Dukagjin M. Bonomi, Marcelo
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We have previously developed a predictive survival model in this patient population based on clinical parameters, and the purpose of this study was to expand the study cohort and internally validate the model. Methods A single institutional retrospective analysis of R/M HNSCC patients treated with ICI. Clinical parameters collected included p-16 status, hemoglobin (Hb), albumin (Alb), lactate dehydrogenase (LDH), neutrophil, lymphocyte and platelet counts. Cox proportional hazard regression was used to assess the impact of patient characteristics and clinical variables on survival. A nomogram was created using the rms package to generate individualized survival prediction. Results 201 patients were included, 47 females (23%), 154 males (77%). Median age was 61 years (IQR: 55-68). P-16 negative (66%). Median OS was 12 months (95% CI: 9.4, 14.9). Updated OS model included age, sex, absolute neutrophil count, absolute lymphocyte count, albumin, hemoglobin, LDH, and p-16 status. We stratified patients into three risk groups based on this model at the 0.33 and 0.66 quantiles. Median OS in the optimal risk group reached 23.7 months (CI: 18.5, NR), 13.8 months (CI: 11.1, 20.3) in the average risk group, and 2.3 months (CI: 1.7, 4.4) in the high-risk group. Following internal validation, the discriminatory power of the model reached a c-index of 0.72 and calibration slope of 0.79. 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Update of a prognostic survival model in head and neck squamous cell carcinoma patients treated with immune checkpoint inhibitors using an expansion cohort

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