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...
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Veröffentlicht in: | Molecular & cellular proteomics 2023-09, Vol.22 (9), p.100625-100625, Article 100625 |
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creator | 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 |
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.
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•Proteomic platform combining DIA-MS and antibody array quantifies 1000+ plasma proteins.•Plasma proteome classifies DLBCL into four subtypes with different prognosis.•High TIMP-1 level shint poor prognosis, could complement IPI score for risk stratification.
The in-depth proteomic platform quantifies more than 1000 proteins and classifies the DLBCL patients into four subtypes with distinct prognosis. Among signature proteins of PS-IV subtype with the worst prognosis, TIMP-1 was identified to be associated with poor prognosis and validated in two independent cohorts, which may help improve the prognostic ability of the IPI score for R-CHOP treatment. |
doi_str_mv | 10.1016/j.mcpro.2023.100625 |
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[Display omitted]
•Proteomic platform combining DIA-MS and antibody array quantifies 1000+ plasma proteins.•Plasma proteome classifies DLBCL into four subtypes with different prognosis.•High TIMP-1 level shint poor prognosis, could complement IPI score for risk stratification.
The in-depth proteomic platform quantifies more than 1000 proteins and classifies the DLBCL patients into four subtypes with distinct prognosis. Among signature proteins of PS-IV subtype with the worst prognosis, TIMP-1 was identified to be associated with poor prognosis and validated in two independent cohorts, which may help improve the prognostic ability of the IPI score for R-CHOP treatment.</description><identifier>ISSN: 1535-9476</identifier><identifier>EISSN: 1535-9484</identifier><identifier>DOI: 10.1016/j.mcpro.2023.100625</identifier><identifier>PMID: 37500057</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>antibody microarray ; diffuse large B-cell lymphoma ; mass spectrometry ; prognostic biomarker ; proteomics</subject><ispartof>Molecular & cellular proteomics, 2023-09, Vol.22 (9), p.100625-100625, Article 100625</ispartof><rights>2023 The Authors</rights><rights>Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.</rights><rights>2023 The Authors 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c460t-fd45d73ead10d7203e3060d8d2fd66fa19529a6104d41db042bf168d9427c8933</citedby><cites>FETCH-LOGICAL-c460t-fd45d73ead10d7203e3060d8d2fd66fa19529a6104d41db042bf168d9427c8933</cites><orcidid>0000-0003-0249-1192</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470290/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470290/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,27928,27929,53795,53797</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37500057$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lou, Ning</creatorcontrib><creatorcontrib>Wang, Guibin</creatorcontrib><creatorcontrib>Wang, Yanrong</creatorcontrib><creatorcontrib>Xu, Meng</creatorcontrib><creatorcontrib>Zhou, Yu</creatorcontrib><creatorcontrib>Tan, Qiaoyun</creatorcontrib><creatorcontrib>Zhong, Qiaofeng</creatorcontrib><creatorcontrib>Zhang, Lei</creatorcontrib><creatorcontrib>Zhang, Xiaomei</creatorcontrib><creatorcontrib>Liu, Shuxia</creatorcontrib><creatorcontrib>Luo, Rongrong</creatorcontrib><creatorcontrib>Wang, Shasha</creatorcontrib><creatorcontrib>Tang, Le</creatorcontrib><creatorcontrib>Yao, Jiarui</creatorcontrib><creatorcontrib>Zhang, Zhishang</creatorcontrib><creatorcontrib>Shi, Yuankai</creatorcontrib><creatorcontrib>Yu, Xiaobo</creatorcontrib><creatorcontrib>Han, Xiaohong</creatorcontrib><title>Proteomics Identifies Circulating TIMP-1 as a Prognostic Biomarker for Diffuse Large B-Cell Lymphoma</title><title>Molecular & cellular proteomics</title><addtitle>Mol Cell Proteomics</addtitle><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.
[Display omitted]
•Proteomic platform combining DIA-MS and antibody array quantifies 1000+ plasma proteins.•Plasma proteome classifies DLBCL into four subtypes with different prognosis.•High TIMP-1 level shint poor prognosis, could complement IPI score for risk stratification.
The in-depth proteomic platform quantifies more than 1000 proteins and classifies the DLBCL patients into four subtypes with distinct prognosis. Among signature proteins of PS-IV subtype with the worst prognosis, TIMP-1 was identified to be associated with poor prognosis and validated in two independent cohorts, which may help improve the prognostic ability of the IPI score for R-CHOP treatment.</description><subject>antibody microarray</subject><subject>diffuse large B-cell lymphoma</subject><subject>mass spectrometry</subject><subject>prognostic biomarker</subject><subject>proteomics</subject><issn>1535-9476</issn><issn>1535-9484</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kU1v1DAQhiMEoh_wC5CQj1yyjD-THBCiS4GVtmoP5Wx57fHWSxIvdlKp_x6XLSu4cPLI88w7H29VvaGwoEDV-91isPsUFwwYLz-gmHxWnVLJZd2JVjw_xo06qc5y3gEwoI18WZ3wRgKAbE4rd5PihHEINpOVw3EKPmAmy5Ds3JspjFtyu7q6qSkxmRhS6O0Y8xQsuQhxMOkHJuJjIp-D93NGsjZpi-SiXmLfk_XDsL8r1KvqhTd9xtdP73n1_cvl7fJbvb7-ulp-WtdWKJhq74R0DUfjKLiGAUcOClzrmHdKeUM7yTqjKAgnqNuAYBtPVes6wRrbdpyfVx8Puvt5M6CzZZ1ker1PoUz6oKMJ-t_MGO70Nt7rItkA66AovHtSSPHnjHnSQ8i27GJGjHPWrJVCMCEbWVB-QG2KOSf0xz4U9KNBeqd_G6QfDdIHg0rV279HPNb8caQAHw4AlkPdB0w624CjRRcS2km7GP7b4BfT6aLF</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Lou, Ning</creator><creator>Wang, Guibin</creator><creator>Wang, Yanrong</creator><creator>Xu, Meng</creator><creator>Zhou, Yu</creator><creator>Tan, Qiaoyun</creator><creator>Zhong, Qiaofeng</creator><creator>Zhang, Lei</creator><creator>Zhang, Xiaomei</creator><creator>Liu, Shuxia</creator><creator>Luo, Rongrong</creator><creator>Wang, Shasha</creator><creator>Tang, Le</creator><creator>Yao, Jiarui</creator><creator>Zhang, Zhishang</creator><creator>Shi, Yuankai</creator><creator>Yu, Xiaobo</creator><creator>Han, Xiaohong</creator><general>Elsevier Inc</general><general>American Society for Biochemistry and Molecular Biology</general><scope>6I.</scope><scope>AAFTH</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-0249-1192</orcidid></search><sort><creationdate>20230901</creationdate><title>Proteomics Identifies Circulating TIMP-1 as a Prognostic Biomarker for Diffuse Large B-Cell Lymphoma</title><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></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c460t-fd45d73ead10d7203e3060d8d2fd66fa19529a6104d41db042bf168d9427c8933</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>antibody microarray</topic><topic>diffuse large B-cell lymphoma</topic><topic>mass spectrometry</topic><topic>prognostic biomarker</topic><topic>proteomics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lou, Ning</creatorcontrib><creatorcontrib>Wang, Guibin</creatorcontrib><creatorcontrib>Wang, Yanrong</creatorcontrib><creatorcontrib>Xu, Meng</creatorcontrib><creatorcontrib>Zhou, Yu</creatorcontrib><creatorcontrib>Tan, Qiaoyun</creatorcontrib><creatorcontrib>Zhong, Qiaofeng</creatorcontrib><creatorcontrib>Zhang, Lei</creatorcontrib><creatorcontrib>Zhang, Xiaomei</creatorcontrib><creatorcontrib>Liu, Shuxia</creatorcontrib><creatorcontrib>Luo, Rongrong</creatorcontrib><creatorcontrib>Wang, Shasha</creatorcontrib><creatorcontrib>Tang, Le</creatorcontrib><creatorcontrib>Yao, Jiarui</creatorcontrib><creatorcontrib>Zhang, Zhishang</creatorcontrib><creatorcontrib>Shi, Yuankai</creatorcontrib><creatorcontrib>Yu, Xiaobo</creatorcontrib><creatorcontrib>Han, Xiaohong</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Molecular & cellular proteomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lou, Ning</au><au>Wang, Guibin</au><au>Wang, Yanrong</au><au>Xu, Meng</au><au>Zhou, Yu</au><au>Tan, Qiaoyun</au><au>Zhong, Qiaofeng</au><au>Zhang, Lei</au><au>Zhang, Xiaomei</au><au>Liu, Shuxia</au><au>Luo, Rongrong</au><au>Wang, Shasha</au><au>Tang, Le</au><au>Yao, Jiarui</au><au>Zhang, Zhishang</au><au>Shi, Yuankai</au><au>Yu, Xiaobo</au><au>Han, Xiaohong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Proteomics Identifies Circulating TIMP-1 as a Prognostic Biomarker for Diffuse Large B-Cell Lymphoma</atitle><jtitle>Molecular & cellular proteomics</jtitle><addtitle>Mol Cell Proteomics</addtitle><date>2023-09-01</date><risdate>2023</risdate><volume>22</volume><issue>9</issue><spage>100625</spage><epage>100625</epage><pages>100625-100625</pages><artnum>100625</artnum><issn>1535-9476</issn><eissn>1535-9484</eissn><abstract>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.
[Display omitted]
•Proteomic platform combining DIA-MS and antibody array quantifies 1000+ plasma proteins.•Plasma proteome classifies DLBCL into four subtypes with different prognosis.•High TIMP-1 level shint poor prognosis, could complement IPI score for risk stratification.
The in-depth proteomic platform quantifies more than 1000 proteins and classifies the DLBCL patients into four subtypes with distinct prognosis. Among signature proteins of PS-IV subtype with the worst prognosis, TIMP-1 was identified to be associated with poor prognosis and validated in two independent cohorts, which may help improve the prognostic ability of the IPI score for R-CHOP treatment.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>37500057</pmid><doi>10.1016/j.mcpro.2023.100625</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-0249-1192</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | antibody microarray diffuse large B-cell lymphoma mass spectrometry prognostic biomarker proteomics |
title | Proteomics Identifies Circulating TIMP-1 as a Prognostic Biomarker for Diffuse Large B-Cell Lymphoma |
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