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Risk Models for Advanced Melanoma Patients Under Anti-PD-1 Monotherapy—Ad hoc Analyses of Pooled Data From Two Clinical Trials

Background: The best response and survival outcomes between advanced melanoma patients treated with the anti-PD-1 monotherapy vary greatly, rendering a risk model in need to optimally stratify patients based on their likelihood to benefit from the said treatment. Methods: We performed an ad hoc anal...

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Autores principales: Bai, Xue, Dai, Jie, Li, Caili, Cui, Chuanliang, Mao, Lili, Wei, Xiaoting, Sheng, Xinan, Chi, Zhihong, Yan, Xieqiao, Tang, Bixia, Lian, Bin, Wang, Xuan, Zhou, Li, Li, Siming, Kong, Yan, Qi, Zhonghui, Xu, Huayan, Duan, Rong, Guo, Jun, Si, Lu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8174451/
https://www.ncbi.nlm.nih.gov/pubmed/34094921
http://dx.doi.org/10.3389/fonc.2021.639085
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author Bai, Xue
Dai, Jie
Li, Caili
Cui, Chuanliang
Mao, Lili
Wei, Xiaoting
Sheng, Xinan
Chi, Zhihong
Yan, Xieqiao
Tang, Bixia
Lian, Bin
Wang, Xuan
Zhou, Li
Li, Siming
Kong, Yan
Qi, Zhonghui
Xu, Huayan
Duan, Rong
Guo, Jun
Si, Lu
author_facet Bai, Xue
Dai, Jie
Li, Caili
Cui, Chuanliang
Mao, Lili
Wei, Xiaoting
Sheng, Xinan
Chi, Zhihong
Yan, Xieqiao
Tang, Bixia
Lian, Bin
Wang, Xuan
Zhou, Li
Li, Siming
Kong, Yan
Qi, Zhonghui
Xu, Huayan
Duan, Rong
Guo, Jun
Si, Lu
author_sort Bai, Xue
collection PubMed
description Background: The best response and survival outcomes between advanced melanoma patients treated with the anti-PD-1 monotherapy vary greatly, rendering a risk model in need to optimally stratify patients based on their likelihood to benefit from the said treatment. Methods: We performed an ad hoc analysis of 89 advanced melanoma patients treated with the anti-PD-1 monotherapy from two prospective clinical trials at the Peking University Cancer Hospital from April 2016 to May 2018. Clinicodemographical characteristics, baseline and early-on-treatment (median 0.6 months after anti-PD-1 monotherapy initiation) routine laboratory variables, including complete blood count and general chemistry, and best response/survival data were extracted and analyzed in both univariate and multivariate logistic and Cox proportional hazard models. Results: After three rounds of screening, risk factors associated with a poorer PFS included a high pre-treatment neutrophil, derived neutrophil-lymphocyte ratio (dNLR), low pre-treatment hemoglobin, and low early-on-/pre-treatment fold change of eosinophil; those with a poorer OS included a high pre-treatment neutrophil, eosinophil, PLT, early-on/pre-treatment fold change of LDH and neutrophil; and those with a poorer best response included a high pre-treatment NLR and early-on-/pre-treatment LDH fold change. Risk models (scale: low, median-low, median high, and high risk) were established based on these risk factors as dichotomous variables and M stage (with vs. without distant metastasis) for PFS (HR 1.976, 95% CI, 1.507–2.592, P < 0.001), OS (HR 2.348, 95% CI, 1.688–3.266), and non-responder (OR 3.586, 95% CI, 1.668–7.713, P = 0.001), respectively. For patients with low, median-low, median-high, and high risks of developing disease progression (PD), six-month PFS rates were 64.3% (95% CI, 43.5–95.0%), 37.5% (95% CI, 22.4–62.9%), 9.1% (95% CI, 3.1–26.7%), and 0%, respectively. For patients with OS risks of low, median-low, median-high, and high, OS rates at 12 months were 82.5% (95% CI, 63.1–100%), 76.6% (95% CI, 58.4–100%), 42.1% (95% CI, 26.3–67.3%), and 23.9% (95% CI, 11.1–51.3%), respectively. For patients with risks of low, median-low, median-high, and high of being a non-responder, objective response rates were 50.0% (95% CI, 15.7–84.3%), 27.8% (95% CI, 9.7–53.5%), 10.3% (95% CI, 2.9–24.2%), and 0%, respectively. Conclusion: A risk scoring model based on the clinicodemographical characteristics and easily obtainable routinely tested laboratory biomarkers may facilitate the best response and survival outcome prediction and personalized therapeutic decision making for the anti-PD-1 monotherapy treated advanced melanoma patients in Asia.
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spelling pubmed-81744512021-06-04 Risk Models for Advanced Melanoma Patients Under Anti-PD-1 Monotherapy—Ad hoc Analyses of Pooled Data From Two Clinical Trials Bai, Xue Dai, Jie Li, Caili Cui, Chuanliang Mao, Lili Wei, Xiaoting Sheng, Xinan Chi, Zhihong Yan, Xieqiao Tang, Bixia Lian, Bin Wang, Xuan Zhou, Li Li, Siming Kong, Yan Qi, Zhonghui Xu, Huayan Duan, Rong Guo, Jun Si, Lu Front Oncol Oncology Background: The best response and survival outcomes between advanced melanoma patients treated with the anti-PD-1 monotherapy vary greatly, rendering a risk model in need to optimally stratify patients based on their likelihood to benefit from the said treatment. Methods: We performed an ad hoc analysis of 89 advanced melanoma patients treated with the anti-PD-1 monotherapy from two prospective clinical trials at the Peking University Cancer Hospital from April 2016 to May 2018. Clinicodemographical characteristics, baseline and early-on-treatment (median 0.6 months after anti-PD-1 monotherapy initiation) routine laboratory variables, including complete blood count and general chemistry, and best response/survival data were extracted and analyzed in both univariate and multivariate logistic and Cox proportional hazard models. Results: After three rounds of screening, risk factors associated with a poorer PFS included a high pre-treatment neutrophil, derived neutrophil-lymphocyte ratio (dNLR), low pre-treatment hemoglobin, and low early-on-/pre-treatment fold change of eosinophil; those with a poorer OS included a high pre-treatment neutrophil, eosinophil, PLT, early-on/pre-treatment fold change of LDH and neutrophil; and those with a poorer best response included a high pre-treatment NLR and early-on-/pre-treatment LDH fold change. Risk models (scale: low, median-low, median high, and high risk) were established based on these risk factors as dichotomous variables and M stage (with vs. without distant metastasis) for PFS (HR 1.976, 95% CI, 1.507–2.592, P < 0.001), OS (HR 2.348, 95% CI, 1.688–3.266), and non-responder (OR 3.586, 95% CI, 1.668–7.713, P = 0.001), respectively. For patients with low, median-low, median-high, and high risks of developing disease progression (PD), six-month PFS rates were 64.3% (95% CI, 43.5–95.0%), 37.5% (95% CI, 22.4–62.9%), 9.1% (95% CI, 3.1–26.7%), and 0%, respectively. For patients with OS risks of low, median-low, median-high, and high, OS rates at 12 months were 82.5% (95% CI, 63.1–100%), 76.6% (95% CI, 58.4–100%), 42.1% (95% CI, 26.3–67.3%), and 23.9% (95% CI, 11.1–51.3%), respectively. For patients with risks of low, median-low, median-high, and high of being a non-responder, objective response rates were 50.0% (95% CI, 15.7–84.3%), 27.8% (95% CI, 9.7–53.5%), 10.3% (95% CI, 2.9–24.2%), and 0%, respectively. Conclusion: A risk scoring model based on the clinicodemographical characteristics and easily obtainable routinely tested laboratory biomarkers may facilitate the best response and survival outcome prediction and personalized therapeutic decision making for the anti-PD-1 monotherapy treated advanced melanoma patients in Asia. Frontiers Media S.A. 2021-05-20 /pmc/articles/PMC8174451/ /pubmed/34094921 http://dx.doi.org/10.3389/fonc.2021.639085 Text en Copyright © 2021 Bai, Dai, Li, Cui, Mao, Wei, Sheng, Chi, Yan, Tang, Lian, Wang, Zhou, Li, Kong, Qi, Xu, Duan, Guo and Si. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Bai, Xue
Dai, Jie
Li, Caili
Cui, Chuanliang
Mao, Lili
Wei, Xiaoting
Sheng, Xinan
Chi, Zhihong
Yan, Xieqiao
Tang, Bixia
Lian, Bin
Wang, Xuan
Zhou, Li
Li, Siming
Kong, Yan
Qi, Zhonghui
Xu, Huayan
Duan, Rong
Guo, Jun
Si, Lu
Risk Models for Advanced Melanoma Patients Under Anti-PD-1 Monotherapy—Ad hoc Analyses of Pooled Data From Two Clinical Trials
title Risk Models for Advanced Melanoma Patients Under Anti-PD-1 Monotherapy—Ad hoc Analyses of Pooled Data From Two Clinical Trials
title_full Risk Models for Advanced Melanoma Patients Under Anti-PD-1 Monotherapy—Ad hoc Analyses of Pooled Data From Two Clinical Trials
title_fullStr Risk Models for Advanced Melanoma Patients Under Anti-PD-1 Monotherapy—Ad hoc Analyses of Pooled Data From Two Clinical Trials
title_full_unstemmed Risk Models for Advanced Melanoma Patients Under Anti-PD-1 Monotherapy—Ad hoc Analyses of Pooled Data From Two Clinical Trials
title_short Risk Models for Advanced Melanoma Patients Under Anti-PD-1 Monotherapy—Ad hoc Analyses of Pooled Data From Two Clinical Trials
title_sort risk models for advanced melanoma patients under anti-pd-1 monotherapy—ad hoc analyses of pooled data from two clinical trials
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8174451/
https://www.ncbi.nlm.nih.gov/pubmed/34094921
http://dx.doi.org/10.3389/fonc.2021.639085
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