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Clinical factors associated with outcome in solid tumor patients treated with immune-checkpoint inhibitors: a single institution retrospective analysis

OBJECTIVES: Response to immune checkpoint inhibitor (ICI) remains limited to a subset of patients and predictive biomarkers of response remains an unmet need, limiting our ability to provide precision medicine. Using real-world data, we aimed to identify potential clinical prognosticators of ICI res...

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Autores principales: Qin, Qian, Jun, Tomi, Wang, Bo, Patel, Vaibhav G., Mellgard, George, Zhong, Xiaobo, Gogerly-Moragoda, Mahalya, Parikh, Anish B., Leiter, Amanda, Gallagher, Emily J., Alerasool, Parissa, Garcia, Philip, Joshi, Himanshu, MBBS, Galsky, Matthew, Oh, William K., Tsao, Che-Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374856/
https://www.ncbi.nlm.nih.gov/pubmed/35960456
http://dx.doi.org/10.1007/s12672-022-00538-6
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author Qin, Qian
Jun, Tomi
Wang, Bo
Patel, Vaibhav G.
Mellgard, George
Zhong, Xiaobo
Gogerly-Moragoda, Mahalya
Parikh, Anish B.
Leiter, Amanda
Gallagher, Emily J.
Alerasool, Parissa
Garcia, Philip
Joshi, Himanshu
MBBS
Galsky, Matthew
Oh, William K.
Tsao, Che-Kai
author_facet Qin, Qian
Jun, Tomi
Wang, Bo
Patel, Vaibhav G.
Mellgard, George
Zhong, Xiaobo
Gogerly-Moragoda, Mahalya
Parikh, Anish B.
Leiter, Amanda
Gallagher, Emily J.
Alerasool, Parissa
Garcia, Philip
Joshi, Himanshu
MBBS
Galsky, Matthew
Oh, William K.
Tsao, Che-Kai
author_sort Qin, Qian
collection PubMed
description OBJECTIVES: Response to immune checkpoint inhibitor (ICI) remains limited to a subset of patients and predictive biomarkers of response remains an unmet need, limiting our ability to provide precision medicine. Using real-world data, we aimed to identify potential clinical prognosticators of ICI response in solid tumor patients. METHODS: We conducted a retrospective analysis of all solid tumor patients treated with ICIs at the Mount Sinai Hospital between January 2011 and April 2017. Predictors assessed included demographics, performance status, co-morbidities, family history of cancer, smoking status, cancer type, metastatic pattern, and type of ICI. Outcomes evaluated include progression free survival (PFS), overall survival (OS), overall response rate (ORR) and disease control rate (DCR). Univariable and multivariable Cox proportional hazard models were constructed to test the association of predictors with outcomes. RESULTS: We identified 297 ICI-treated patients with diagnosis of non-small cell lung cancer (N = 81, 27.3%), melanoma (N = 73, 24.6%), hepatocellular carcinoma (N = 51, 17.2%), urothelial carcinoma (N = 51, 17.2%), head and neck squamous cell carcinoma (N = 23, 7.7%), and renal cell carcinoma (N = 18, 6.1%). In multivariable analysis, good performance status of ECOG ≤ 2 (PFS, ORR, DCR and OS) and family history of cancer (ORR and DCR) associated with improved ICI response. Bone metastasis was associated with worse outcomes (PFS, ORR, and DCR). CONCLUSIONS: Mechanisms underlying the clinical predictors of response observed in this real-world analysis, such as genetic variants and bone metastasis-tumor microenvironment, warrant further exploration in larger studies incorporating translational endpoints. Consistently positive clinical correlates may help inform patient stratification when considering ICI therapy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12672-022-00538-6.
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spelling pubmed-93748562022-08-14 Clinical factors associated with outcome in solid tumor patients treated with immune-checkpoint inhibitors: a single institution retrospective analysis Qin, Qian Jun, Tomi Wang, Bo Patel, Vaibhav G. Mellgard, George Zhong, Xiaobo Gogerly-Moragoda, Mahalya Parikh, Anish B. Leiter, Amanda Gallagher, Emily J. Alerasool, Parissa Garcia, Philip Joshi, Himanshu MBBS Galsky, Matthew Oh, William K. Tsao, Che-Kai Discov Oncol Research OBJECTIVES: Response to immune checkpoint inhibitor (ICI) remains limited to a subset of patients and predictive biomarkers of response remains an unmet need, limiting our ability to provide precision medicine. Using real-world data, we aimed to identify potential clinical prognosticators of ICI response in solid tumor patients. METHODS: We conducted a retrospective analysis of all solid tumor patients treated with ICIs at the Mount Sinai Hospital between January 2011 and April 2017. Predictors assessed included demographics, performance status, co-morbidities, family history of cancer, smoking status, cancer type, metastatic pattern, and type of ICI. Outcomes evaluated include progression free survival (PFS), overall survival (OS), overall response rate (ORR) and disease control rate (DCR). Univariable and multivariable Cox proportional hazard models were constructed to test the association of predictors with outcomes. RESULTS: We identified 297 ICI-treated patients with diagnosis of non-small cell lung cancer (N = 81, 27.3%), melanoma (N = 73, 24.6%), hepatocellular carcinoma (N = 51, 17.2%), urothelial carcinoma (N = 51, 17.2%), head and neck squamous cell carcinoma (N = 23, 7.7%), and renal cell carcinoma (N = 18, 6.1%). In multivariable analysis, good performance status of ECOG ≤ 2 (PFS, ORR, DCR and OS) and family history of cancer (ORR and DCR) associated with improved ICI response. Bone metastasis was associated with worse outcomes (PFS, ORR, and DCR). CONCLUSIONS: Mechanisms underlying the clinical predictors of response observed in this real-world analysis, such as genetic variants and bone metastasis-tumor microenvironment, warrant further exploration in larger studies incorporating translational endpoints. Consistently positive clinical correlates may help inform patient stratification when considering ICI therapy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12672-022-00538-6. Springer US 2022-08-12 /pmc/articles/PMC9374856/ /pubmed/35960456 http://dx.doi.org/10.1007/s12672-022-00538-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Qin, Qian
Jun, Tomi
Wang, Bo
Patel, Vaibhav G.
Mellgard, George
Zhong, Xiaobo
Gogerly-Moragoda, Mahalya
Parikh, Anish B.
Leiter, Amanda
Gallagher, Emily J.
Alerasool, Parissa
Garcia, Philip
Joshi, Himanshu
MBBS
Galsky, Matthew
Oh, William K.
Tsao, Che-Kai
Clinical factors associated with outcome in solid tumor patients treated with immune-checkpoint inhibitors: a single institution retrospective analysis
title Clinical factors associated with outcome in solid tumor patients treated with immune-checkpoint inhibitors: a single institution retrospective analysis
title_full Clinical factors associated with outcome in solid tumor patients treated with immune-checkpoint inhibitors: a single institution retrospective analysis
title_fullStr Clinical factors associated with outcome in solid tumor patients treated with immune-checkpoint inhibitors: a single institution retrospective analysis
title_full_unstemmed Clinical factors associated with outcome in solid tumor patients treated with immune-checkpoint inhibitors: a single institution retrospective analysis
title_short Clinical factors associated with outcome in solid tumor patients treated with immune-checkpoint inhibitors: a single institution retrospective analysis
title_sort clinical factors associated with outcome in solid tumor patients treated with immune-checkpoint inhibitors: a single institution retrospective analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374856/
https://www.ncbi.nlm.nih.gov/pubmed/35960456
http://dx.doi.org/10.1007/s12672-022-00538-6
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