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Prominent immune signatures of T cells are specifically associated with indolent B-cell lymphoproliferative disorders and predict prognosis

dc.contributor.authorYi, Shuhua
dc.contributor.authorZhang, Yu
dc.contributor.authorXiong, Wenjie
dc.contributor.authorChen, Weiwei
dc.contributor.authorHou, Zhaohua
dc.contributor.authorYang, Yang
dc.contributor.authorYan, Yuting
dc.contributor.authorWei, Yunbo
dc.contributor.authorCui, Rui
dc.contributor.authorWang, Huijun
dc.contributor.authorYu, Di
dc.date.accessioned2023-01-16T01:11:43Z
dc.date.issued2020
dc.date.updated2021-11-28T07:35:38Z
dc.description.abstractObjectives.T cells play an essential role in controlling thedevelopment of B-cell lymphoproliferative disorders (BLPDs), butthe dysfunction of T cells in BLPDs largely remains elusive.Methods.Using multiplexed flow cytometry, we quantified allmajor subsets of CD4+helper T cells (Th) and CD8+cytotoxic T cells(Tc) in 94 BLPD patients and 66 healthy controls. Statistics wasutilised to rank T-cell signatures that distinguished BLPDs fromhealthy controls and differentially presented between indolentand aggressive categories.Results.By comparing with healthycontrols, we found that the indolent but not aggressive type ofBLPDs demonstrated a high degree of T-cell activation, showingthe increase in type I helper T (Th1) cells and follicular B-helper T(Tfh) cells, both of which strongly associated with the enhanceddifferentiation of exhaustion-like effector cytotoxic CD8+T cellsexpressing PD-1 (Tc exhaustion-like) in indolent BLPDs. Randomforest modelling selected a module of T-cell immune signaturesbest performing binary classification of all BLPD patients. This signature module was composed of low na€ıve Th cells and highTh1, Tfh and Tc exhaustion-like cells which efficiently identified>85% indolent cases and was, therefore, assigned as the Indolent Dominant Module of T-cell immune signature. In indolent BLPD patients, a strong bias towards such signatures was found to associate with clinical characteristics of worse prognosis.Conclusion.Our study identified a prominent signature of T-celldysregulation specifically for indolent BLPDs, suggesting Th1, Tfhand Tc exhaustion-like cells represent potential prognostic biomarkers and targets for immunotherapies.en_AU
dc.description.sponsorshipThis work was supported by grants from the National NatureScience Foundation of China (81970187 to SY, 81800187 toYZ and 81601441 to HZ), the National Key Research andDevelopment Program of China (2016YFA0100600 to LQ and2017YFC0909003 to DY), National Science and TechnologyMajor Project from China (2017ZX09304024), NationalScience and Technology Supporting Program (2014BAI09B12to SY and LQ), Chinese Academy of Medical SciencesInnovation Fund for Medical Sciences (grants 2017-I2M-3-018, 2017-I2M-1-005 and 2016-I2M-3-013), ShandongProvincial Natural Science Foundation (ZR2016YL013 to DY,ZR2015YL005 to DY and YW, and ZR2017LH030 to YZ), the Special Foundation of Taishan Overseas Distinguished Exertsand Scholars (to DY), the Priority Research Program of theShandong Academy of Sciences (to DY), Key Lab Foundationof Shandong Academy of Sciences (to DY), Youth ScienceFunds of Shandong Academy of Sciences (2018QN005 to YZ)and the Bellberry-Viertel Senior Medical Research Fellowship(to DY)en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn2050-0068en_AU
dc.identifier.urihttp://hdl.handle.net/1885/282773
dc.language.isoen_AUen_AU
dc.publisherNature Publishing Groupen_AU
dc.rights© 2020 The Authors. Clinical & Translational Immunology published by John Wiley & Sons Australia, Ltd on behalf of Australian and New Zealand Society for Immunology Incen_AU
dc.sourceClinical and Translational Immunologyen_AU
dc.subjectB-cell lymphoproliferative disordersen_AU
dc.subjectindolenten_AU
dc.subjectprognosisen_AU
dc.subjectT-cell immunological signatureen_AU
dc.titleProminent immune signatures of T cells are specifically associated with indolent B-cell lymphoproliferative disorders and predict prognosisen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue1en_AU
local.bibliographicCitation.lastpage10en_AU
local.bibliographicCitation.startpage1en_AU
local.contributor.affiliationYi, Shuhua, Chinese Academy of Medical Sciencesen_AU
local.contributor.affiliationZhang, Yu, Shandong Academy of Sciencesen_AU
local.contributor.affiliationXiong, Wenjie, Chinese Academy of Medical Sciencesen_AU
local.contributor.affiliationChen, Weiwei, Chinese Academy of Medical Sciencesen_AU
local.contributor.affiliationHou, Zhaohua, Shandong Academy of Sciencesen_AU
local.contributor.affiliationYang, Yang, University of Queenslanden_AU
local.contributor.affiliationYan, Yuting, Chinese Academy of Medical Sciencesen_AU
local.contributor.affiliationWei, Yunbo, Shandong Academy of Sciencesen_AU
local.contributor.affiliationCui, Rui, Chinese Academy of Medical Sciencesen_AU
local.contributor.affiliationWang, Huijun, Chinese Academy of Medical Sciencesen_AU
local.contributor.affiliationYu, Di, College of Health and Medicine, ANUen_AU
local.contributor.authoruidYu, Di, u2506956en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor320402 - Applied immunology (incl. antibody engineering, xenotransplantation and t-cell therapies)en_AU
local.identifier.absseo200101 - Diagnosis of human diseases and conditionsen_AU
local.identifier.ariespublicationu6269649xPUB409en_AU
local.identifier.citationvolume9en_AU
local.identifier.doi10.1002/cti2.1105en_AU
local.identifier.scopusID2-s2.0-85078479991
local.publisher.urlhttps://www.wiley.com/en-gben_AU
local.type.statusPublished Versionen_AU

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