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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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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. |
format | Online Article Text |
id | pubmed-10323081 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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