Cargando…
Baseline Serum Cholesterol Levels Predict the Response of Patients with Advanced Non-Small Cell Lung Cancer to Immune Checkpoint Inhibitor-Based Treatment
PURPOSE: Although predictive markers of immune checkpoint inhibitor (ICI)-based treatments have been extensively studied, with the exception of programmed death ligand 1 (PD-L1), most are not widely used in the clinic due to poor effects or defective practicability. The aim of this study was to iden...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140899/ https://www.ncbi.nlm.nih.gov/pubmed/34040444 http://dx.doi.org/10.2147/CMAR.S304022 |
_version_ | 1783696270202765312 |
---|---|
author | Tong, Jingtao Mao, Yifei Yang, Ziru Xu, Quan Zheng, Zhen Zhang, Hui Wang, Jingjing Zhang, Sandian Rong, Weibo Zheng, Lu |
author_facet | Tong, Jingtao Mao, Yifei Yang, Ziru Xu, Quan Zheng, Zhen Zhang, Hui Wang, Jingjing Zhang, Sandian Rong, Weibo Zheng, Lu |
author_sort | Tong, Jingtao |
collection | PubMed |
description | PURPOSE: Although predictive markers of immune checkpoint inhibitor (ICI)-based treatments have been extensively studied, with the exception of programmed death ligand 1 (PD-L1), most are not widely used in the clinic due to poor effects or defective practicability. The aim of this study was to identify those patients with high baseline serum cholesterol who benefit from ICI-based treatments. PATIENTS AND METHODS: Patients with advanced non-small cell lung cancer (NSCLC) treated at Ningbo Medical Center, Li Huili Hospital between August 2017 and December 2019 were enrolled in this retrospective study. The Response Evaluation Criteria in Solid Tumors (RECIST, version 1.1) were used to evaluate the efficacy of the ICI-based treatment. Progression-free survival (PFS) and overall survival (OS) were calculated using the Kaplan–Meier survival curves and compared using the log rank test. Univariate and multivariate analyses were conducted using the logistic regression analysis and Cox proportional hazards model. A receiver operating characteristic curve was created, and the area under the curve (AUC) was calculated to compare the predictive value of baseline serum cholesterol with PD-L1 expression for patient response to ICI-based treatment. RESULTS: In our cohort of 169 NSCLC patients, the objective response rate (ORR) and disease control rate (DCR) of the treatment were significantly higher in patients with hypercholesterolemia (>5.18 mmol/L) than in those with hypocholesterolemia (ORR: 33.67% vs 14.08%, P=0.004; DCR: 68.37% vs 42.25%, P=0.001). The median PFS was 7.9 months in the hypercholesterolemia group, significantly longer than in the hypocholesterolemia group (4.4 months, 95% CI: 4.620–7.380, P<0.001). The median OS in the two groups were 11 months and 8 months, with 95% CIs of 8.980–10.420 (P<0.001). The AUC for the baseline level of cholesterol was 0.706 (P<0.001), while it was 0.643 (P=0.001) for PD-L1 expression. CONCLUSION: The baseline serum cholesterol level is predictive of a clinical benefit for advanced NSCLC patients who undergo ICI-based treatment, and hence it is a promising prognostic indicator for ICI-based treatment of NSCLC. |
format | Online Article Text |
id | pubmed-8140899 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-81408992021-05-25 Baseline Serum Cholesterol Levels Predict the Response of Patients with Advanced Non-Small Cell Lung Cancer to Immune Checkpoint Inhibitor-Based Treatment Tong, Jingtao Mao, Yifei Yang, Ziru Xu, Quan Zheng, Zhen Zhang, Hui Wang, Jingjing Zhang, Sandian Rong, Weibo Zheng, Lu Cancer Manag Res Original Research PURPOSE: Although predictive markers of immune checkpoint inhibitor (ICI)-based treatments have been extensively studied, with the exception of programmed death ligand 1 (PD-L1), most are not widely used in the clinic due to poor effects or defective practicability. The aim of this study was to identify those patients with high baseline serum cholesterol who benefit from ICI-based treatments. PATIENTS AND METHODS: Patients with advanced non-small cell lung cancer (NSCLC) treated at Ningbo Medical Center, Li Huili Hospital between August 2017 and December 2019 were enrolled in this retrospective study. The Response Evaluation Criteria in Solid Tumors (RECIST, version 1.1) were used to evaluate the efficacy of the ICI-based treatment. Progression-free survival (PFS) and overall survival (OS) were calculated using the Kaplan–Meier survival curves and compared using the log rank test. Univariate and multivariate analyses were conducted using the logistic regression analysis and Cox proportional hazards model. A receiver operating characteristic curve was created, and the area under the curve (AUC) was calculated to compare the predictive value of baseline serum cholesterol with PD-L1 expression for patient response to ICI-based treatment. RESULTS: In our cohort of 169 NSCLC patients, the objective response rate (ORR) and disease control rate (DCR) of the treatment were significantly higher in patients with hypercholesterolemia (>5.18 mmol/L) than in those with hypocholesterolemia (ORR: 33.67% vs 14.08%, P=0.004; DCR: 68.37% vs 42.25%, P=0.001). The median PFS was 7.9 months in the hypercholesterolemia group, significantly longer than in the hypocholesterolemia group (4.4 months, 95% CI: 4.620–7.380, P<0.001). The median OS in the two groups were 11 months and 8 months, with 95% CIs of 8.980–10.420 (P<0.001). The AUC for the baseline level of cholesterol was 0.706 (P<0.001), while it was 0.643 (P=0.001) for PD-L1 expression. CONCLUSION: The baseline serum cholesterol level is predictive of a clinical benefit for advanced NSCLC patients who undergo ICI-based treatment, and hence it is a promising prognostic indicator for ICI-based treatment of NSCLC. Dove 2021-05-18 /pmc/articles/PMC8140899/ /pubmed/34040444 http://dx.doi.org/10.2147/CMAR.S304022 Text en © 2021 Tong III et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Tong, Jingtao Mao, Yifei Yang, Ziru Xu, Quan Zheng, Zhen Zhang, Hui Wang, Jingjing Zhang, Sandian Rong, Weibo Zheng, Lu Baseline Serum Cholesterol Levels Predict the Response of Patients with Advanced Non-Small Cell Lung Cancer to Immune Checkpoint Inhibitor-Based Treatment |
title | Baseline Serum Cholesterol Levels Predict the Response of Patients with Advanced Non-Small Cell Lung Cancer to Immune Checkpoint Inhibitor-Based Treatment |
title_full | Baseline Serum Cholesterol Levels Predict the Response of Patients with Advanced Non-Small Cell Lung Cancer to Immune Checkpoint Inhibitor-Based Treatment |
title_fullStr | Baseline Serum Cholesterol Levels Predict the Response of Patients with Advanced Non-Small Cell Lung Cancer to Immune Checkpoint Inhibitor-Based Treatment |
title_full_unstemmed | Baseline Serum Cholesterol Levels Predict the Response of Patients with Advanced Non-Small Cell Lung Cancer to Immune Checkpoint Inhibitor-Based Treatment |
title_short | Baseline Serum Cholesterol Levels Predict the Response of Patients with Advanced Non-Small Cell Lung Cancer to Immune Checkpoint Inhibitor-Based Treatment |
title_sort | baseline serum cholesterol levels predict the response of patients with advanced non-small cell lung cancer to immune checkpoint inhibitor-based treatment |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140899/ https://www.ncbi.nlm.nih.gov/pubmed/34040444 http://dx.doi.org/10.2147/CMAR.S304022 |
work_keys_str_mv | AT tongjingtao baselineserumcholesterollevelspredicttheresponseofpatientswithadvancednonsmallcelllungcancertoimmunecheckpointinhibitorbasedtreatment AT maoyifei baselineserumcholesterollevelspredicttheresponseofpatientswithadvancednonsmallcelllungcancertoimmunecheckpointinhibitorbasedtreatment AT yangziru baselineserumcholesterollevelspredicttheresponseofpatientswithadvancednonsmallcelllungcancertoimmunecheckpointinhibitorbasedtreatment AT xuquan baselineserumcholesterollevelspredicttheresponseofpatientswithadvancednonsmallcelllungcancertoimmunecheckpointinhibitorbasedtreatment AT zhengzhen baselineserumcholesterollevelspredicttheresponseofpatientswithadvancednonsmallcelllungcancertoimmunecheckpointinhibitorbasedtreatment AT zhanghui baselineserumcholesterollevelspredicttheresponseofpatientswithadvancednonsmallcelllungcancertoimmunecheckpointinhibitorbasedtreatment AT wangjingjing baselineserumcholesterollevelspredicttheresponseofpatientswithadvancednonsmallcelllungcancertoimmunecheckpointinhibitorbasedtreatment AT zhangsandian baselineserumcholesterollevelspredicttheresponseofpatientswithadvancednonsmallcelllungcancertoimmunecheckpointinhibitorbasedtreatment AT rongweibo baselineserumcholesterollevelspredicttheresponseofpatientswithadvancednonsmallcelllungcancertoimmunecheckpointinhibitorbasedtreatment AT zhenglu baselineserumcholesterollevelspredicttheresponseofpatientswithadvancednonsmallcelllungcancertoimmunecheckpointinhibitorbasedtreatment |