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Quantitative Proteomic Analysis of Plasma Exosomes to Identify the Candidate Biomarker of Imatinib Resistance in Chronic Myeloid Leukemia Patients

BACKGROUND: Imatinib (IM), a tyrosine kinase inhibitor (TKI), has markedly improved the survival and life quality of chronic myeloid leukemia (CML) patients. However, the lack of specific biomarkers for IM resistance remains a serious clinical challenge. Recently, growing evidence has suggested that...

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Autores principales: Li, Mei-Yong, Zhao, Cui, Chen, Lian, Yao, Fang-Yi, Zhong, Fang-Min, Chen, Ying, Xu, Shuai, Jiang, Jun-Yao, Yang, Yu-Lin, Min, Qing-Hua, Lin, Jin, Zhang, Hai-Bin, Liu, Jing, Wang, Xiao-Zhong, Huang, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724304/
https://www.ncbi.nlm.nih.gov/pubmed/34993140
http://dx.doi.org/10.3389/fonc.2021.779567
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author Li, Mei-Yong
Zhao, Cui
Chen, Lian
Yao, Fang-Yi
Zhong, Fang-Min
Chen, Ying
Xu, Shuai
Jiang, Jun-Yao
Yang, Yu-Lin
Min, Qing-Hua
Lin, Jin
Zhang, Hai-Bin
Liu, Jing
Wang, Xiao-Zhong
Huang, Bo
author_facet Li, Mei-Yong
Zhao, Cui
Chen, Lian
Yao, Fang-Yi
Zhong, Fang-Min
Chen, Ying
Xu, Shuai
Jiang, Jun-Yao
Yang, Yu-Lin
Min, Qing-Hua
Lin, Jin
Zhang, Hai-Bin
Liu, Jing
Wang, Xiao-Zhong
Huang, Bo
author_sort Li, Mei-Yong
collection PubMed
description BACKGROUND: Imatinib (IM), a tyrosine kinase inhibitor (TKI), has markedly improved the survival and life quality of chronic myeloid leukemia (CML) patients. However, the lack of specific biomarkers for IM resistance remains a serious clinical challenge. Recently, growing evidence has suggested that exosome-harbored proteins were involved in tumor drug resistance and could be novel biomarkers for the diagnosis and drug sensitivity prediction of cancer. Therefore, we aimed to investigate the proteomic profile of plasma exosomes derived from CML patients to identify ideal biomarkers for IM resistance. METHODS: We extracted exosomes from pooled plasma samples of 9 imatinib-resistant CML patients and 9 imatinib-sensitive CML patients by ultracentrifugation. Then, we identified the expression levels of exosomal proteins by liquid chromatography-tandem mass spectrometry (LC-MS/MS) based label free quantification. Bioinformatics analyses were used to analyze the proteomic data. Finally, the western blot (WB) and parallel reaction monitoring (PRM) analyses were applied to validate the candidate proteins. RESULTS: A total of 2812 proteins were identified in plasma exosomes from imatinib-resistant and imatinib-sensitive CML patients, including 279 differentially expressed proteins (DEPs) with restricted criteria (fold change≥1.5 or ≤0.667, p<0.05). Compared with imatinib-sensitive CML patients, 151 proteins were up-regulated and 128 proteins were down-regulated. Bioinformatics analyses revealed that the main function of the upregulated proteins was regulation of protein synthesis, while the downregulated proteins were mainly involved in lipid metabolism. The top 20 hub genes were obtained using STRING and Cytoscape, most of which were components of ribosomes. Moreover, we found that RPL13 and RPL14 exhibited exceptional upregulation in imatinib-resistant CML patients, which were further confirmed by PRM and WB. CONCLUSION: Proteomic analysis of plasma exosomes provides new ideas and important information for the study of IM resistance in CML. Especially the exosomal proteins (RPL13 and RPL14), which may have great potential as biomarkers of IM resistance.
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spelling pubmed-87243042022-01-05 Quantitative Proteomic Analysis of Plasma Exosomes to Identify the Candidate Biomarker of Imatinib Resistance in Chronic Myeloid Leukemia Patients Li, Mei-Yong Zhao, Cui Chen, Lian Yao, Fang-Yi Zhong, Fang-Min Chen, Ying Xu, Shuai Jiang, Jun-Yao Yang, Yu-Lin Min, Qing-Hua Lin, Jin Zhang, Hai-Bin Liu, Jing Wang, Xiao-Zhong Huang, Bo Front Oncol Oncology BACKGROUND: Imatinib (IM), a tyrosine kinase inhibitor (TKI), has markedly improved the survival and life quality of chronic myeloid leukemia (CML) patients. However, the lack of specific biomarkers for IM resistance remains a serious clinical challenge. Recently, growing evidence has suggested that exosome-harbored proteins were involved in tumor drug resistance and could be novel biomarkers for the diagnosis and drug sensitivity prediction of cancer. Therefore, we aimed to investigate the proteomic profile of plasma exosomes derived from CML patients to identify ideal biomarkers for IM resistance. METHODS: We extracted exosomes from pooled plasma samples of 9 imatinib-resistant CML patients and 9 imatinib-sensitive CML patients by ultracentrifugation. Then, we identified the expression levels of exosomal proteins by liquid chromatography-tandem mass spectrometry (LC-MS/MS) based label free quantification. Bioinformatics analyses were used to analyze the proteomic data. Finally, the western blot (WB) and parallel reaction monitoring (PRM) analyses were applied to validate the candidate proteins. RESULTS: A total of 2812 proteins were identified in plasma exosomes from imatinib-resistant and imatinib-sensitive CML patients, including 279 differentially expressed proteins (DEPs) with restricted criteria (fold change≥1.5 or ≤0.667, p<0.05). Compared with imatinib-sensitive CML patients, 151 proteins were up-regulated and 128 proteins were down-regulated. Bioinformatics analyses revealed that the main function of the upregulated proteins was regulation of protein synthesis, while the downregulated proteins were mainly involved in lipid metabolism. The top 20 hub genes were obtained using STRING and Cytoscape, most of which were components of ribosomes. Moreover, we found that RPL13 and RPL14 exhibited exceptional upregulation in imatinib-resistant CML patients, which were further confirmed by PRM and WB. CONCLUSION: Proteomic analysis of plasma exosomes provides new ideas and important information for the study of IM resistance in CML. Especially the exosomal proteins (RPL13 and RPL14), which may have great potential as biomarkers of IM resistance. Frontiers Media S.A. 2021-12-21 /pmc/articles/PMC8724304/ /pubmed/34993140 http://dx.doi.org/10.3389/fonc.2021.779567 Text en Copyright © 2021 Li, Zhao, Chen, Yao, Zhong, Chen, Xu, Jiang, Yang, Min, Lin, Zhang, Liu, Wang and Huang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Li, Mei-Yong
Zhao, Cui
Chen, Lian
Yao, Fang-Yi
Zhong, Fang-Min
Chen, Ying
Xu, Shuai
Jiang, Jun-Yao
Yang, Yu-Lin
Min, Qing-Hua
Lin, Jin
Zhang, Hai-Bin
Liu, Jing
Wang, Xiao-Zhong
Huang, Bo
Quantitative Proteomic Analysis of Plasma Exosomes to Identify the Candidate Biomarker of Imatinib Resistance in Chronic Myeloid Leukemia Patients
title Quantitative Proteomic Analysis of Plasma Exosomes to Identify the Candidate Biomarker of Imatinib Resistance in Chronic Myeloid Leukemia Patients
title_full Quantitative Proteomic Analysis of Plasma Exosomes to Identify the Candidate Biomarker of Imatinib Resistance in Chronic Myeloid Leukemia Patients
title_fullStr Quantitative Proteomic Analysis of Plasma Exosomes to Identify the Candidate Biomarker of Imatinib Resistance in Chronic Myeloid Leukemia Patients
title_full_unstemmed Quantitative Proteomic Analysis of Plasma Exosomes to Identify the Candidate Biomarker of Imatinib Resistance in Chronic Myeloid Leukemia Patients
title_short Quantitative Proteomic Analysis of Plasma Exosomes to Identify the Candidate Biomarker of Imatinib Resistance in Chronic Myeloid Leukemia Patients
title_sort quantitative proteomic analysis of plasma exosomes to identify the candidate biomarker of imatinib resistance in chronic myeloid leukemia patients
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724304/
https://www.ncbi.nlm.nih.gov/pubmed/34993140
http://dx.doi.org/10.3389/fonc.2021.779567
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