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Development of a prognostic scoring system for patients with advanced cancer enrolled in immune checkpoint inhibitor phase 1 clinical trials

BACKGROUND: We sought to develop a prognostic scoring system to aid in patient selection for immune checkpoint inhibitor (ICI) phase 1 clinical trials. METHODS: Clinical data from patients treated in phase 1 ICI clinical trials at MD Anderson (MDA) Center were analysed. Seventeen clinical factors we...

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Autores principales: Sen, Shiraj, Hess, Kenneth, Hong, David S, Naing, Aung, Piha-Paul, Sarina, Janku, Filip, Fu, Siqing, Subbiah, Ishwaria M, Liu, Holly, Khanji, Rahil, Huang, Le, Moorthy, Shhyam, Karp, Daniel D, Tsimberidou, Apostolia, Meric-Bernstam, Funda, Subbiah, Vivek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5886120/
https://www.ncbi.nlm.nih.gov/pubmed/29462132
http://dx.doi.org/10.1038/bjc.2017.480
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author Sen, Shiraj
Hess, Kenneth
Hong, David S
Naing, Aung
Piha-Paul, Sarina
Janku, Filip
Fu, Siqing
Subbiah, Ishwaria M
Liu, Holly
Khanji, Rahil
Huang, Le
Moorthy, Shhyam
Karp, Daniel D
Tsimberidou, Apostolia
Meric-Bernstam, Funda
Subbiah, Vivek
author_facet Sen, Shiraj
Hess, Kenneth
Hong, David S
Naing, Aung
Piha-Paul, Sarina
Janku, Filip
Fu, Siqing
Subbiah, Ishwaria M
Liu, Holly
Khanji, Rahil
Huang, Le
Moorthy, Shhyam
Karp, Daniel D
Tsimberidou, Apostolia
Meric-Bernstam, Funda
Subbiah, Vivek
author_sort Sen, Shiraj
collection PubMed
description BACKGROUND: We sought to develop a prognostic scoring system to aid in patient selection for immune checkpoint inhibitor (ICI) phase 1 clinical trials. METHODS: Clinical data from patients treated in phase 1 ICI clinical trials at MD Anderson (MDA) Center were analysed. Seventeen clinical factors were studied. Recursive partitioning analysis, a tree-based model, was used to develop a regression tree and identify optimal cut-points based on differences in survival for each clinical factor. A Cox proportional hazards regression model was then used to identify factors independently affecting overall survival. A prognostic scoring system was subsequently developed. RESULTS: A total of 172 patients (105 CTLA4- and 67 PD1-based) were analysed. Seven factors were independently associated with worse overall survival (OS): age>52 years (hazard ratio (HR) 1.59, 95% confidence interval (CI) 1.1–2.4), Eastern Cooperative Oncology Group performance status>1 (HR 2.81, 95%CI 1.3–6.3), lactate dehydrogenase >466 (which is 0.75 × the upper limit of normal at our institution) (HR 2.1, 95% CI 1.4–3.2), platelet count >300 × 10(3) μL(−1) (HR 1.8, 95% CI 1.2–2.8), absolute neutrophil count >4.9 × 10(3) μL(−1) (HR 2.3, 95% CI 1.5–3.5), absolute lymphocyte count <1.8 × 10(3) μL(−1) (HR 3.3, 95% CI 1.9–5.7), and liver metastases (HR 1.8, 95% CI 1.2–2.6). An index was created by dividing the cohort into risk groups based on the number of factors present: 0–2, 3, 4, or 5–6. Median OS was 24.2 months, 11.6 months, 8.0 months, and 3.8 months for patients with 0–2, 3, 4, or 5–6 risk factors, respectively; log-rank test, P<0.0001. The Harrell c-index of this scoring system was 0.72, indicating better predictability than the Royal Marsden Hospital score (c-index 0.67) and MDA score (c-index 0.61). CONCLUSIONS: We have developed a novel ‘MDA-ICI’ prognostic scoring system for patients treated in phase 1 ICI clinical trials. Prospective evaluation and external validation is warranted and may help aid patient selection for future clinical trials.
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spelling pubmed-58861202019-03-20 Development of a prognostic scoring system for patients with advanced cancer enrolled in immune checkpoint inhibitor phase 1 clinical trials Sen, Shiraj Hess, Kenneth Hong, David S Naing, Aung Piha-Paul, Sarina Janku, Filip Fu, Siqing Subbiah, Ishwaria M Liu, Holly Khanji, Rahil Huang, Le Moorthy, Shhyam Karp, Daniel D Tsimberidou, Apostolia Meric-Bernstam, Funda Subbiah, Vivek Br J Cancer Clinical Study BACKGROUND: We sought to develop a prognostic scoring system to aid in patient selection for immune checkpoint inhibitor (ICI) phase 1 clinical trials. METHODS: Clinical data from patients treated in phase 1 ICI clinical trials at MD Anderson (MDA) Center were analysed. Seventeen clinical factors were studied. Recursive partitioning analysis, a tree-based model, was used to develop a regression tree and identify optimal cut-points based on differences in survival for each clinical factor. A Cox proportional hazards regression model was then used to identify factors independently affecting overall survival. A prognostic scoring system was subsequently developed. RESULTS: A total of 172 patients (105 CTLA4- and 67 PD1-based) were analysed. Seven factors were independently associated with worse overall survival (OS): age>52 years (hazard ratio (HR) 1.59, 95% confidence interval (CI) 1.1–2.4), Eastern Cooperative Oncology Group performance status>1 (HR 2.81, 95%CI 1.3–6.3), lactate dehydrogenase >466 (which is 0.75 × the upper limit of normal at our institution) (HR 2.1, 95% CI 1.4–3.2), platelet count >300 × 10(3) μL(−1) (HR 1.8, 95% CI 1.2–2.8), absolute neutrophil count >4.9 × 10(3) μL(−1) (HR 2.3, 95% CI 1.5–3.5), absolute lymphocyte count <1.8 × 10(3) μL(−1) (HR 3.3, 95% CI 1.9–5.7), and liver metastases (HR 1.8, 95% CI 1.2–2.6). An index was created by dividing the cohort into risk groups based on the number of factors present: 0–2, 3, 4, or 5–6. Median OS was 24.2 months, 11.6 months, 8.0 months, and 3.8 months for patients with 0–2, 3, 4, or 5–6 risk factors, respectively; log-rank test, P<0.0001. The Harrell c-index of this scoring system was 0.72, indicating better predictability than the Royal Marsden Hospital score (c-index 0.67) and MDA score (c-index 0.61). CONCLUSIONS: We have developed a novel ‘MDA-ICI’ prognostic scoring system for patients treated in phase 1 ICI clinical trials. Prospective evaluation and external validation is warranted and may help aid patient selection for future clinical trials. Nature Publishing Group 2018-03-20 2018-02-20 /pmc/articles/PMC5886120/ /pubmed/29462132 http://dx.doi.org/10.1038/bjc.2017.480 Text en Copyright © 2018 Cancer Research UK http://creativecommons.org/licenses/by-nc-sa/4.0/ From twelve months after its original publication, this work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
spellingShingle Clinical Study
Sen, Shiraj
Hess, Kenneth
Hong, David S
Naing, Aung
Piha-Paul, Sarina
Janku, Filip
Fu, Siqing
Subbiah, Ishwaria M
Liu, Holly
Khanji, Rahil
Huang, Le
Moorthy, Shhyam
Karp, Daniel D
Tsimberidou, Apostolia
Meric-Bernstam, Funda
Subbiah, Vivek
Development of a prognostic scoring system for patients with advanced cancer enrolled in immune checkpoint inhibitor phase 1 clinical trials
title Development of a prognostic scoring system for patients with advanced cancer enrolled in immune checkpoint inhibitor phase 1 clinical trials
title_full Development of a prognostic scoring system for patients with advanced cancer enrolled in immune checkpoint inhibitor phase 1 clinical trials
title_fullStr Development of a prognostic scoring system for patients with advanced cancer enrolled in immune checkpoint inhibitor phase 1 clinical trials
title_full_unstemmed Development of a prognostic scoring system for patients with advanced cancer enrolled in immune checkpoint inhibitor phase 1 clinical trials
title_short Development of a prognostic scoring system for patients with advanced cancer enrolled in immune checkpoint inhibitor phase 1 clinical trials
title_sort development of a prognostic scoring system for patients with advanced cancer enrolled in immune checkpoint inhibitor phase 1 clinical trials
topic Clinical Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5886120/
https://www.ncbi.nlm.nih.gov/pubmed/29462132
http://dx.doi.org/10.1038/bjc.2017.480
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