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Complement and coagulation cascades pathway-related signature as a predictor of immunotherapy in metastatic urothelial cancer

Background: Immune checkpoint inhibitors (ICIs) have shown efficacy in patients with metastatic urothelial cancer (mUC), however, only a small subset of patients could benefit from ICIs. Identifying predictive biomarkers of ICIs in patients with mUC is clinical meaningful for patient stratification...

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Autores principales: Gong, Zheng, He, Yuming, Mi, Xiao, Li, Chengcheng, Sun, Xiaoran, Wang, Guoqiang, Li, Leo, Han, Yusheng, Xu, Chunwei, Wang, Wenxian, Cai, Shangli, Wang, Liang, Liu, Zhongyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10564431/
https://www.ncbi.nlm.nih.gov/pubmed/37747262
http://dx.doi.org/10.18632/aging.205022
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author Gong, Zheng
He, Yuming
Mi, Xiao
Li, Chengcheng
Sun, Xiaoran
Wang, Guoqiang
Li, Leo
Han, Yusheng
Xu, Chunwei
Wang, Wenxian
Cai, Shangli
Wang, Liang
Liu, Zhongyuan
author_facet Gong, Zheng
He, Yuming
Mi, Xiao
Li, Chengcheng
Sun, Xiaoran
Wang, Guoqiang
Li, Leo
Han, Yusheng
Xu, Chunwei
Wang, Wenxian
Cai, Shangli
Wang, Liang
Liu, Zhongyuan
author_sort Gong, Zheng
collection PubMed
description Background: Immune checkpoint inhibitors (ICIs) have shown efficacy in patients with metastatic urothelial cancer (mUC), however, only a small subset of patients could benefit from ICIs. Identifying predictive biomarkers of ICIs in patients with mUC is clinical meaningful for patient stratification and administration. Methods: Clinical and transcriptomic data of mUC patients treated with ICIs from mUC cohort (IMvigor210 study) was utilized to explore the predictive biomarkers. LASSO Cox regression was performed to construct a predictive model. The predictive model was trained and tested in the mUC cohort, and then exploratively tested in clear cell renal cell carcinoma (ccRCC) and melanoma cohorts in which patients also received ICIs regimens. Results: The differentially expressed genes (DEGs) in complement and coagulation cascades pathway (CCCP) were mainly enriched in non-responders of ICIs in the mUC cohort. A CCCP risk score was constructed based on the DEGs in CCCP. Patients with a low-risk score were more responsive to ICIs and had better overall survival (OS) than those with a high-risk score in the training set (HR, 0.38; 95%CI, 0.27-0.53, P<0.001) and the test set (HR, 0.34; 95%CI, 0.17-0.71, P=0.003). The association between the CCCP risk score and OS remained significant in the multivariable cox regression by adjusting PD-L1 expression and TMB (P<0.05). In addition, there was no difference for OS in the bladder cancer patients without ICIs (TCGA-BLCA cohort, HR, 0.76, 95%CI, 0.49-1.18, P=0.22), suggesting a predictive but not prognostic effect of the risk score. For the exploratory analysis, consistent results were observed that low-risk group showed superior OS in ccRCC cohort (HR, 0.52, 95%CI, 0.37-0.75, P<0.001) and melanoma cohort (HR, 0.27, 95%CI, 0.12-0.62, P=0.001). Conclusions: Our study showed that the CCCP risk score is an independent biomarker that predicts the efficacy of ICIs in mUC patients. The patients with a low-risk score tend to have a better response to ICIs and a longer life time probably due to the immune-activated TME. Further studies are needed to validate the clinical utility of the seven-gene signature.
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spelling pubmed-105644312023-10-11 Complement and coagulation cascades pathway-related signature as a predictor of immunotherapy in metastatic urothelial cancer Gong, Zheng He, Yuming Mi, Xiao Li, Chengcheng Sun, Xiaoran Wang, Guoqiang Li, Leo Han, Yusheng Xu, Chunwei Wang, Wenxian Cai, Shangli Wang, Liang Liu, Zhongyuan Aging (Albany NY) Research Paper Background: Immune checkpoint inhibitors (ICIs) have shown efficacy in patients with metastatic urothelial cancer (mUC), however, only a small subset of patients could benefit from ICIs. Identifying predictive biomarkers of ICIs in patients with mUC is clinical meaningful for patient stratification and administration. Methods: Clinical and transcriptomic data of mUC patients treated with ICIs from mUC cohort (IMvigor210 study) was utilized to explore the predictive biomarkers. LASSO Cox regression was performed to construct a predictive model. The predictive model was trained and tested in the mUC cohort, and then exploratively tested in clear cell renal cell carcinoma (ccRCC) and melanoma cohorts in which patients also received ICIs regimens. Results: The differentially expressed genes (DEGs) in complement and coagulation cascades pathway (CCCP) were mainly enriched in non-responders of ICIs in the mUC cohort. A CCCP risk score was constructed based on the DEGs in CCCP. Patients with a low-risk score were more responsive to ICIs and had better overall survival (OS) than those with a high-risk score in the training set (HR, 0.38; 95%CI, 0.27-0.53, P<0.001) and the test set (HR, 0.34; 95%CI, 0.17-0.71, P=0.003). The association between the CCCP risk score and OS remained significant in the multivariable cox regression by adjusting PD-L1 expression and TMB (P<0.05). In addition, there was no difference for OS in the bladder cancer patients without ICIs (TCGA-BLCA cohort, HR, 0.76, 95%CI, 0.49-1.18, P=0.22), suggesting a predictive but not prognostic effect of the risk score. For the exploratory analysis, consistent results were observed that low-risk group showed superior OS in ccRCC cohort (HR, 0.52, 95%CI, 0.37-0.75, P<0.001) and melanoma cohort (HR, 0.27, 95%CI, 0.12-0.62, P=0.001). Conclusions: Our study showed that the CCCP risk score is an independent biomarker that predicts the efficacy of ICIs in mUC patients. The patients with a low-risk score tend to have a better response to ICIs and a longer life time probably due to the immune-activated TME. Further studies are needed to validate the clinical utility of the seven-gene signature. Impact Journals 2023-09-24 /pmc/articles/PMC10564431/ /pubmed/37747262 http://dx.doi.org/10.18632/aging.205022 Text en Copyright: © 2023 Gong et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Gong, Zheng
He, Yuming
Mi, Xiao
Li, Chengcheng
Sun, Xiaoran
Wang, Guoqiang
Li, Leo
Han, Yusheng
Xu, Chunwei
Wang, Wenxian
Cai, Shangli
Wang, Liang
Liu, Zhongyuan
Complement and coagulation cascades pathway-related signature as a predictor of immunotherapy in metastatic urothelial cancer
title Complement and coagulation cascades pathway-related signature as a predictor of immunotherapy in metastatic urothelial cancer
title_full Complement and coagulation cascades pathway-related signature as a predictor of immunotherapy in metastatic urothelial cancer
title_fullStr Complement and coagulation cascades pathway-related signature as a predictor of immunotherapy in metastatic urothelial cancer
title_full_unstemmed Complement and coagulation cascades pathway-related signature as a predictor of immunotherapy in metastatic urothelial cancer
title_short Complement and coagulation cascades pathway-related signature as a predictor of immunotherapy in metastatic urothelial cancer
title_sort complement and coagulation cascades pathway-related signature as a predictor of immunotherapy in metastatic urothelial cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10564431/
https://www.ncbi.nlm.nih.gov/pubmed/37747262
http://dx.doi.org/10.18632/aging.205022
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