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
Hauptverfasser: 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
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container_end_page 100625
container_issue 9
container_start_page 100625
container_title Molecular & cellular proteomics
container_volume 22
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. [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.
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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><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 &amp; 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 &amp; 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. 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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 ; 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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 &amp; 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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