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Plasma extracellular vesicle transcriptomics identifies CD160 for predicting immunochemotherapy efficacy in lung cancer

Better biomarkers are needed to improve the efficacy of immune checkpoint inhibitors in lung adenocarcinoma (LUAD) treatment. We investigated the plasma extracellular vesicle (EV)‐derived long RNAs (exLRs) in unresectable/advanced LUAD to explore biomarkers for immunochemotherapy. Seventy‐four LUAD...

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Autores principales: Liao, Jiatao, Lai, Hongyan, Liu, Chang, Zhang, Xin, Ou, Qiuxiang, Li, Qiaojuan, Li, Yan, Wang, Zhen, Liu, Cuicui, Wu, Xianghua, Wang, Huijie, Yu, Hui, Sun, Si, Zhao, Xinmin, Hu, Zhihuang, Zhang, Yao, Lin, Ying, Yu, Bo, Huang, Shenglin, Wang, Jialei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323081/
https://www.ncbi.nlm.nih.gov/pubmed/37014183
http://dx.doi.org/10.1111/cas.15804
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author Liao, Jiatao
Lai, Hongyan
Liu, Chang
Zhang, Xin
Ou, Qiuxiang
Li, Qiaojuan
Li, Yan
Wang, Zhen
Liu, Cuicui
Wu, Xianghua
Wang, Huijie
Yu, Hui
Sun, Si
Zhao, Xinmin
Hu, Zhihuang
Zhang, Yao
Lin, Ying
Yu, Bo
Huang, Shenglin
Wang, Jialei
author_facet Liao, Jiatao
Lai, Hongyan
Liu, Chang
Zhang, Xin
Ou, Qiuxiang
Li, Qiaojuan
Li, Yan
Wang, Zhen
Liu, Cuicui
Wu, Xianghua
Wang, Huijie
Yu, Hui
Sun, Si
Zhao, Xinmin
Hu, Zhihuang
Zhang, Yao
Lin, Ying
Yu, Bo
Huang, Shenglin
Wang, Jialei
author_sort Liao, Jiatao
collection PubMed
description Better biomarkers are needed to improve the efficacy of immune checkpoint inhibitors in lung adenocarcinoma (LUAD) treatment. We investigated the plasma extracellular vesicle (EV)‐derived long RNAs (exLRs) in unresectable/advanced LUAD to explore biomarkers for immunochemotherapy. Seventy‐four LUAD patients without targetable mutations receiving first‐line anti‐programmed cell death 1 (PD‐1) immunochemotherapy were enrolled. Their exLRs were profiled through plasma EV transcriptome sequencing. Biomarkers were analyzed against response rate and survival using pre‐ and post‐treatment samples in the retrospective cohort (n = 36) and prospective cohort (n = 38). The results showed that LUAD patients demonstrated a distinct exLR profile from the healthy individuals (n = 56), and T‐cell activation‐related pathways were enriched in responders. Among T‐cell activation exLRs, CD160 exhibited a strong correlation with survival. In the retrospective cohort, the high baseline EV‐derived CD160 level correlated with prolonged progression‐free survival (PFS) (P < 0.001) and overall survival (OS) (P = 0.005), with an area under the curve (AUC) of 0.784 for differentiating responders from non‐responders. In the prospective cohort, the CD160‐high patients also showed prolonged PFS (P = 0.003) and OS (P = 0.014) and a promising AUC of 0.648. The predictive value of CD160 expression was validated by real‐time quantitative PCR. We also identified the dynamics of EV‐derived CD160 for monitoring therapeutic response. The elevated baseline CD160 reflected a higher abundance of circulating NK cells and CD8(+)‐naïve T cells, suggesting more active host immunity. In addition, increased CD160 levels of tumors also correlated with a favorable prognosis in LUAD patients. Together, plasma EV transcriptome analysis revealed the role of the baseline CD160 level and early post‐treatment CD160 dynamics for predicting the response to anti‐PD‐1 immunochemotherapy in LUAD patients.
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spelling pubmed-103230812023-07-07 Plasma extracellular vesicle transcriptomics identifies CD160 for predicting immunochemotherapy efficacy in lung cancer Liao, Jiatao Lai, Hongyan Liu, Chang Zhang, Xin Ou, Qiuxiang Li, Qiaojuan Li, Yan Wang, Zhen Liu, Cuicui Wu, Xianghua Wang, Huijie Yu, Hui Sun, Si Zhao, Xinmin Hu, Zhihuang Zhang, Yao Lin, Ying Yu, Bo Huang, Shenglin Wang, Jialei Cancer Sci ORIGINAL ARTICLES Better biomarkers are needed to improve the efficacy of immune checkpoint inhibitors in lung adenocarcinoma (LUAD) treatment. We investigated the plasma extracellular vesicle (EV)‐derived long RNAs (exLRs) in unresectable/advanced LUAD to explore biomarkers for immunochemotherapy. Seventy‐four LUAD patients without targetable mutations receiving first‐line anti‐programmed cell death 1 (PD‐1) immunochemotherapy were enrolled. Their exLRs were profiled through plasma EV transcriptome sequencing. Biomarkers were analyzed against response rate and survival using pre‐ and post‐treatment samples in the retrospective cohort (n = 36) and prospective cohort (n = 38). The results showed that LUAD patients demonstrated a distinct exLR profile from the healthy individuals (n = 56), and T‐cell activation‐related pathways were enriched in responders. Among T‐cell activation exLRs, CD160 exhibited a strong correlation with survival. In the retrospective cohort, the high baseline EV‐derived CD160 level correlated with prolonged progression‐free survival (PFS) (P < 0.001) and overall survival (OS) (P = 0.005), with an area under the curve (AUC) of 0.784 for differentiating responders from non‐responders. In the prospective cohort, the CD160‐high patients also showed prolonged PFS (P = 0.003) and OS (P = 0.014) and a promising AUC of 0.648. The predictive value of CD160 expression was validated by real‐time quantitative PCR. We also identified the dynamics of EV‐derived CD160 for monitoring therapeutic response. The elevated baseline CD160 reflected a higher abundance of circulating NK cells and CD8(+)‐naïve T cells, suggesting more active host immunity. In addition, increased CD160 levels of tumors also correlated with a favorable prognosis in LUAD patients. Together, plasma EV transcriptome analysis revealed the role of the baseline CD160 level and early post‐treatment CD160 dynamics for predicting the response to anti‐PD‐1 immunochemotherapy in LUAD patients. John Wiley and Sons Inc. 2023-04-20 /pmc/articles/PMC10323081/ /pubmed/37014183 http://dx.doi.org/10.1111/cas.15804 Text en © 2023 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle ORIGINAL ARTICLES
Liao, Jiatao
Lai, Hongyan
Liu, Chang
Zhang, Xin
Ou, Qiuxiang
Li, Qiaojuan
Li, Yan
Wang, Zhen
Liu, Cuicui
Wu, Xianghua
Wang, Huijie
Yu, Hui
Sun, Si
Zhao, Xinmin
Hu, Zhihuang
Zhang, Yao
Lin, Ying
Yu, Bo
Huang, Shenglin
Wang, Jialei
Plasma extracellular vesicle transcriptomics identifies CD160 for predicting immunochemotherapy efficacy in lung cancer
title Plasma extracellular vesicle transcriptomics identifies CD160 for predicting immunochemotherapy efficacy in lung cancer
title_full Plasma extracellular vesicle transcriptomics identifies CD160 for predicting immunochemotherapy efficacy in lung cancer
title_fullStr Plasma extracellular vesicle transcriptomics identifies CD160 for predicting immunochemotherapy efficacy in lung cancer
title_full_unstemmed Plasma extracellular vesicle transcriptomics identifies CD160 for predicting immunochemotherapy efficacy in lung cancer
title_short Plasma extracellular vesicle transcriptomics identifies CD160 for predicting immunochemotherapy efficacy in lung cancer
title_sort plasma extracellular vesicle transcriptomics identifies cd160 for predicting immunochemotherapy efficacy in lung cancer
topic ORIGINAL ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323081/
https://www.ncbi.nlm.nih.gov/pubmed/37014183
http://dx.doi.org/10.1111/cas.15804
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