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Identification of exosome protein panels as predictive biomarkers for non-small cell lung cancer

BACKGROUND: Non-small cell lung cancer (NSCLC) remains a leading cause of cancer-related deaths worldwide, primarily due to its propensity for metastasis. Patients diagnosed with localized primary cancer have higher survival rates than those with metastasis. Thus, it is imperative to discover biomar...

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Autores principales: Luo, Bin, Que, Zujun, Lu, Xinyi, Qi, Dan, Qiao, Zhi, Yang, Yun, Qian, Fangfang, Jiang, Yi, Li, Yan, Ke, Ronghu, Shen, Xiaoyun, Xiao, Hua, Li, Hegen, Wu, Erxi, Tian, Jianhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641949/
https://www.ncbi.nlm.nih.gov/pubmed/37953280
http://dx.doi.org/10.1186/s12575-023-00223-0
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author Luo, Bin
Que, Zujun
Lu, Xinyi
Qi, Dan
Qiao, Zhi
Yang, Yun
Qian, Fangfang
Jiang, Yi
Li, Yan
Ke, Ronghu
Shen, Xiaoyun
Xiao, Hua
Li, Hegen
Wu, Erxi
Tian, Jianhui
author_facet Luo, Bin
Que, Zujun
Lu, Xinyi
Qi, Dan
Qiao, Zhi
Yang, Yun
Qian, Fangfang
Jiang, Yi
Li, Yan
Ke, Ronghu
Shen, Xiaoyun
Xiao, Hua
Li, Hegen
Wu, Erxi
Tian, Jianhui
author_sort Luo, Bin
collection PubMed
description BACKGROUND: Non-small cell lung cancer (NSCLC) remains a leading cause of cancer-related deaths worldwide, primarily due to its propensity for metastasis. Patients diagnosed with localized primary cancer have higher survival rates than those with metastasis. Thus, it is imperative to discover biomarkers for the early detection of NSCLC and the timely prediction of tumor metastasis to improve patient outcomes. METHODS: Here, we utilized an integrated approach to isolate and characterize plasma exosomes from NSCLC patients as well as healthy individuals. We then conducted proteomics analysis and parallel reaction monitoring to identify and validate the top-ranked proteins of plasma exosomes. RESULTS: Our study revealed that the proteome in exosomes from NSCLC patients with metastasis was distinctly different from that from healthy individuals. The former had larger diameters and lower concentrations of exosomes than the latter. Furthermore, among the 1220 identified exosomal proteins, we identified two distinct panels of biomarkers. The first panel of biomarkers (FGB, FGG, and VWF) showed potential for early NSCLC diagnosis and demonstrated a direct correlation with the survival duration of NSCLC patients. The second panel of biomarkers (CFHR5, C9, and MBL2) emerged as potential biomarkers for assessing NSCLC metastasis, of which CFHR5 alone was significantly associated with the overall survival of NSCLC patients. CONCLUSIONS: These findings underscore the potential of plasma exosomal biomarkers for early NSCLC diagnosis and metastasis prediction. Notably, CFHR5 stands out as a promising prognostic indicator for NSCLC patients. The clinical utility of exosomal biomarkers offers the potential to enhance the management of NSCLC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12575-023-00223-0.
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spelling pubmed-106419492023-11-14 Identification of exosome protein panels as predictive biomarkers for non-small cell lung cancer Luo, Bin Que, Zujun Lu, Xinyi Qi, Dan Qiao, Zhi Yang, Yun Qian, Fangfang Jiang, Yi Li, Yan Ke, Ronghu Shen, Xiaoyun Xiao, Hua Li, Hegen Wu, Erxi Tian, Jianhui Biol Proced Online Research BACKGROUND: Non-small cell lung cancer (NSCLC) remains a leading cause of cancer-related deaths worldwide, primarily due to its propensity for metastasis. Patients diagnosed with localized primary cancer have higher survival rates than those with metastasis. Thus, it is imperative to discover biomarkers for the early detection of NSCLC and the timely prediction of tumor metastasis to improve patient outcomes. METHODS: Here, we utilized an integrated approach to isolate and characterize plasma exosomes from NSCLC patients as well as healthy individuals. We then conducted proteomics analysis and parallel reaction monitoring to identify and validate the top-ranked proteins of plasma exosomes. RESULTS: Our study revealed that the proteome in exosomes from NSCLC patients with metastasis was distinctly different from that from healthy individuals. The former had larger diameters and lower concentrations of exosomes than the latter. Furthermore, among the 1220 identified exosomal proteins, we identified two distinct panels of biomarkers. The first panel of biomarkers (FGB, FGG, and VWF) showed potential for early NSCLC diagnosis and demonstrated a direct correlation with the survival duration of NSCLC patients. The second panel of biomarkers (CFHR5, C9, and MBL2) emerged as potential biomarkers for assessing NSCLC metastasis, of which CFHR5 alone was significantly associated with the overall survival of NSCLC patients. CONCLUSIONS: These findings underscore the potential of plasma exosomal biomarkers for early NSCLC diagnosis and metastasis prediction. Notably, CFHR5 stands out as a promising prognostic indicator for NSCLC patients. The clinical utility of exosomal biomarkers offers the potential to enhance the management of NSCLC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12575-023-00223-0. BioMed Central 2023-11-13 /pmc/articles/PMC10641949/ /pubmed/37953280 http://dx.doi.org/10.1186/s12575-023-00223-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Luo, Bin
Que, Zujun
Lu, Xinyi
Qi, Dan
Qiao, Zhi
Yang, Yun
Qian, Fangfang
Jiang, Yi
Li, Yan
Ke, Ronghu
Shen, Xiaoyun
Xiao, Hua
Li, Hegen
Wu, Erxi
Tian, Jianhui
Identification of exosome protein panels as predictive biomarkers for non-small cell lung cancer
title Identification of exosome protein panels as predictive biomarkers for non-small cell lung cancer
title_full Identification of exosome protein panels as predictive biomarkers for non-small cell lung cancer
title_fullStr Identification of exosome protein panels as predictive biomarkers for non-small cell lung cancer
title_full_unstemmed Identification of exosome protein panels as predictive biomarkers for non-small cell lung cancer
title_short Identification of exosome protein panels as predictive biomarkers for non-small cell lung cancer
title_sort identification of exosome protein panels as predictive biomarkers for non-small cell lung cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641949/
https://www.ncbi.nlm.nih.gov/pubmed/37953280
http://dx.doi.org/10.1186/s12575-023-00223-0
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