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Proteomics Identifies Circulating TIMP-1 as a Prognostic Biomarker for Diffuse Large B-Cell Lymphoma
Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease, although disease stratification using in-depth plasma proteomics has not been performed to date. By measuring more than 1000 proteins in the plasma of 147 DLBCL patients using data-independent acquisition mass spectrometry and antibod...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Biochemistry and Molecular Biology
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470290/ https://www.ncbi.nlm.nih.gov/pubmed/37500057 http://dx.doi.org/10.1016/j.mcpro.2023.100625 |
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author | Lou, Ning Wang, Guibin Wang, Yanrong Xu, Meng Zhou, Yu Tan, Qiaoyun Zhong, Qiaofeng Zhang, Lei Zhang, Xiaomei Liu, Shuxia Luo, Rongrong Wang, Shasha Tang, Le Yao, Jiarui Zhang, Zhishang Shi, Yuankai Yu, Xiaobo Han, Xiaohong |
author_facet | Lou, Ning Wang, Guibin Wang, Yanrong Xu, Meng Zhou, Yu Tan, Qiaoyun Zhong, Qiaofeng Zhang, Lei Zhang, Xiaomei Liu, Shuxia Luo, Rongrong Wang, Shasha Tang, Le Yao, Jiarui Zhang, Zhishang Shi, Yuankai Yu, Xiaobo Han, Xiaohong |
author_sort | Lou, Ning |
collection | PubMed |
description | Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease, although disease stratification using in-depth plasma proteomics has not been performed to date. By measuring more than 1000 proteins in the plasma of 147 DLBCL patients using data-independent acquisition mass spectrometry and antibody array, DLBCL patients were classified into four proteomic subtypes (PS-I-IV). Patients with the PS-IV subtype and worst prognosis had increased levels of proteins involved in inflammation, including a high expression of metalloproteinase inhibitor-1 (TIMP-1) that was associated with poor survival across two validation cohorts (n = 180). Notably, the combination of TIMP-1 with the international prognostic index (IPI) identified 64.00% to 88.24% of relapsed and 65.00% to 80.49% of deceased patients in the discovery and two validation cohorts, which represents a 24.00% to 41.67% and 20.00% to 31.70% improvement compared to the IPI score alone, respectively. Taken together, we demonstrate that DLBCL heterogeneity is reflected in the plasma proteome and that TIMP-1, together with the IPI, could improve the prognostic stratification of patients. |
format | Online Article Text |
id | pubmed-10470290 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Society for Biochemistry and Molecular Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-104702902023-09-01 Proteomics Identifies Circulating TIMP-1 as a Prognostic Biomarker for Diffuse Large B-Cell Lymphoma Lou, Ning Wang, Guibin Wang, Yanrong Xu, Meng Zhou, Yu Tan, Qiaoyun Zhong, Qiaofeng Zhang, Lei Zhang, Xiaomei Liu, Shuxia Luo, Rongrong Wang, Shasha Tang, Le Yao, Jiarui Zhang, Zhishang Shi, Yuankai Yu, Xiaobo Han, Xiaohong Mol Cell Proteomics Research Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease, although disease stratification using in-depth plasma proteomics has not been performed to date. By measuring more than 1000 proteins in the plasma of 147 DLBCL patients using data-independent acquisition mass spectrometry and antibody array, DLBCL patients were classified into four proteomic subtypes (PS-I-IV). Patients with the PS-IV subtype and worst prognosis had increased levels of proteins involved in inflammation, including a high expression of metalloproteinase inhibitor-1 (TIMP-1) that was associated with poor survival across two validation cohorts (n = 180). Notably, the combination of TIMP-1 with the international prognostic index (IPI) identified 64.00% to 88.24% of relapsed and 65.00% to 80.49% of deceased patients in the discovery and two validation cohorts, which represents a 24.00% to 41.67% and 20.00% to 31.70% improvement compared to the IPI score alone, respectively. Taken together, we demonstrate that DLBCL heterogeneity is reflected in the plasma proteome and that TIMP-1, together with the IPI, could improve the prognostic stratification of patients. American Society for Biochemistry and Molecular Biology 2023-07-26 /pmc/articles/PMC10470290/ /pubmed/37500057 http://dx.doi.org/10.1016/j.mcpro.2023.100625 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Lou, Ning Wang, Guibin Wang, Yanrong Xu, Meng Zhou, Yu Tan, Qiaoyun Zhong, Qiaofeng Zhang, Lei Zhang, Xiaomei Liu, Shuxia Luo, Rongrong Wang, Shasha Tang, Le Yao, Jiarui Zhang, Zhishang Shi, Yuankai Yu, Xiaobo Han, Xiaohong Proteomics Identifies Circulating TIMP-1 as a Prognostic Biomarker for Diffuse Large B-Cell Lymphoma |
title | Proteomics Identifies Circulating TIMP-1 as a Prognostic Biomarker for Diffuse Large B-Cell Lymphoma |
title_full | Proteomics Identifies Circulating TIMP-1 as a Prognostic Biomarker for Diffuse Large B-Cell Lymphoma |
title_fullStr | Proteomics Identifies Circulating TIMP-1 as a Prognostic Biomarker for Diffuse Large B-Cell Lymphoma |
title_full_unstemmed | Proteomics Identifies Circulating TIMP-1 as a Prognostic Biomarker for Diffuse Large B-Cell Lymphoma |
title_short | Proteomics Identifies Circulating TIMP-1 as a Prognostic Biomarker for Diffuse Large B-Cell Lymphoma |
title_sort | proteomics identifies circulating timp-1 as a prognostic biomarker for diffuse large b-cell lymphoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470290/ https://www.ncbi.nlm.nih.gov/pubmed/37500057 http://dx.doi.org/10.1016/j.mcpro.2023.100625 |
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