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An inflammatory state defines a high-risk T-lineage acute lymphoblastic leukemia subgroup
T-lineage acute lymphoblastic leukemia (ALL) is an aggressive cancer comprising diverse subtypes that are challenging to stratify using conventional immunophenotyping. To gain insights into subset-specific therapeutic vulnerabilities, we performed an integrative multiomics analysis of bone marrow sa...
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Published in: | Science translational medicine 2025-01, Vol.17 (779), p.eadr2012 |
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creator | Gower, Mark Li, Ximing Aguilar-Navarro, Alicia G Lin, Brian Fernandez, Minerva Edun, Gibran Nader, Mursal Rondeau, Vincent Arruda, Andrea Tierens, Anne Eames Seffernick, Anna Pölönen, Petri Durocher, Juliette Wagenblast, Elvin Yang, Lin Lee, Ho Seok Mullighan, Charles G Teachey, David Rashkovan, Marissa Tremblay, Cedric S Herranz, Daniel Itkin, Tomer Loghavi, Sanam Dick, John E Schwartz, Gregory Perusini, Maria Agustina Sibai, Hassan Hitzler, Johann Gruber, Tanja A Minden, Mark Jones, Courtney L Dolgalev, Igor Jahangiri, Soheil Tikhonova, Anastasia N |
description | T-lineage acute lymphoblastic leukemia (ALL) is an aggressive cancer comprising diverse subtypes that are challenging to stratify using conventional immunophenotyping. To gain insights into subset-specific therapeutic vulnerabilities, we performed an integrative multiomics analysis of bone marrow samples from newly diagnosed T cell ALL, early T cell precursor ALL, and T/myeloid mixed phenotype acute leukemia. Leveraging cellular indexing of transcriptomes and epitopes in conjunction with T cell receptor sequencing, we identified a subset of patient samples characterized by activation of inflammatory and stem gene programs. These inflammatory T-lineage samples exhibited distinct biological features compared with other T-lineage ALL samples, including the production of proinflammatory cytokines, prevalence of mutations affecting cytokine signaling and chromatin remodeling, an altered immune microenvironment, and poor treatment responses. Moreover, we found that, although inflammatory T-lineage ALL samples were less sensitive to dexamethasone, they exhibited unique sensitivity to a BCL-2 inhibitor, venetoclax. To facilitate classification of patients with T-lineage ALL, we developed a computational inflammatory gene signature scoring system, which stratified patients and was associated with disease prognosis in three additional patient cohorts. By identifying a high-risk T-lineage ALL subtype on the basis of an inflammatory score, our study provides a framework for targeted therapeutic approaches for these challenging-to-treat cancers. |
doi_str_mv | 10.1126/scitranslmed.adr2012 |
format | article |
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To gain insights into subset-specific therapeutic vulnerabilities, we performed an integrative multiomics analysis of bone marrow samples from newly diagnosed T cell ALL, early T cell precursor ALL, and T/myeloid mixed phenotype acute leukemia. Leveraging cellular indexing of transcriptomes and epitopes in conjunction with T cell receptor sequencing, we identified a subset of patient samples characterized by activation of inflammatory and stem gene programs. These inflammatory T-lineage samples exhibited distinct biological features compared with other T-lineage ALL samples, including the production of proinflammatory cytokines, prevalence of mutations affecting cytokine signaling and chromatin remodeling, an altered immune microenvironment, and poor treatment responses. Moreover, we found that, although inflammatory T-lineage ALL samples were less sensitive to dexamethasone, they exhibited unique sensitivity to a BCL-2 inhibitor, venetoclax. To facilitate classification of patients with T-lineage ALL, we developed a computational inflammatory gene signature scoring system, which stratified patients and was associated with disease prognosis in three additional patient cohorts. By identifying a high-risk T-lineage ALL subtype on the basis of an inflammatory score, our study provides a framework for targeted therapeutic approaches for these challenging-to-treat cancers.</description><identifier>ISSN: 1946-6234</identifier><identifier>ISSN: 1946-6242</identifier><identifier>EISSN: 1946-6242</identifier><identifier>EISSN: 1946-3242</identifier><identifier>DOI: 10.1126/scitranslmed.adr2012</identifier><identifier>PMID: 39742502</identifier><language>eng</language><publisher>United States: The American Association for the Advancement of Science</publisher><subject>Acute lymphoblastic leukemia ; Bcl-2 protein ; Bone cancer ; Bridged Bicyclo Compounds, Heterocyclic ; Cell activation ; Chromatin remodeling ; Cytokines ; Cytokines - metabolism ; Dexamethasone ; Dexamethasone - therapeutic use ; Epitopes ; Humans ; Inflammation - pathology ; Leukemia ; Lymphatic leukemia ; Lymphocytes ; Lymphocytes T ; Microenvironments ; Mutation - genetics ; Phenotypes ; Precursor T-Cell Lymphoblastic Leukemia-Lymphoma - genetics ; Precursor T-Cell Lymphoblastic Leukemia-Lymphoma - pathology ; Prognosis ; Sulfonamides - therapeutic use ; T cell receptors ; Transcriptome - genetics ; Transcriptomes ; Tumor Microenvironment - immunology</subject><ispartof>Science translational medicine, 2025-01, Vol.17 (779), p.eadr2012</ispartof><rights>Copyright The American Association for the Advancement of Science Jan 1, 2025</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c214t-46b4c4f095633856208962468f963f18cf76d3caed6cb7a3c2352fcbb19fd6183</cites><orcidid>0000-0003-2165-0099 ; 0000-0002-3772-792X ; 0000-0003-2396-776X ; 0000-0001-8980-3202 ; 0000-0002-9513-5703 ; 0000-0002-9089-8816 ; 0000-0001-6409-0613 ; 0000-0003-2372-7547 ; 0000-0003-1072-7257 ; 0000-0003-1768-5969 ; 0000-0002-9527-8317 ; 0000-0002-9950-0149 ; 0000-0003-4003-3045 ; 0000-0001-9030-8583 ; 0000-0001-7373-8987 ; 0000-0002-0709-2759 ; 0000-0002-1871-1850 ; 0000-0002-6990-8186 ; 0000-0003-0672-1493 ; 0000-0003-4451-126X ; 0000-0003-1158-186X ; 0000-0003-2516-8005 ; 0000-0002-5350-8313 ; 0000-0001-6712-1606</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39742502$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gower, Mark</creatorcontrib><creatorcontrib>Li, Ximing</creatorcontrib><creatorcontrib>Aguilar-Navarro, Alicia G</creatorcontrib><creatorcontrib>Lin, Brian</creatorcontrib><creatorcontrib>Fernandez, Minerva</creatorcontrib><creatorcontrib>Edun, Gibran</creatorcontrib><creatorcontrib>Nader, Mursal</creatorcontrib><creatorcontrib>Rondeau, Vincent</creatorcontrib><creatorcontrib>Arruda, Andrea</creatorcontrib><creatorcontrib>Tierens, Anne</creatorcontrib><creatorcontrib>Eames Seffernick, Anna</creatorcontrib><creatorcontrib>Pölönen, Petri</creatorcontrib><creatorcontrib>Durocher, Juliette</creatorcontrib><creatorcontrib>Wagenblast, Elvin</creatorcontrib><creatorcontrib>Yang, Lin</creatorcontrib><creatorcontrib>Lee, Ho Seok</creatorcontrib><creatorcontrib>Mullighan, Charles G</creatorcontrib><creatorcontrib>Teachey, David</creatorcontrib><creatorcontrib>Rashkovan, Marissa</creatorcontrib><creatorcontrib>Tremblay, Cedric S</creatorcontrib><creatorcontrib>Herranz, Daniel</creatorcontrib><creatorcontrib>Itkin, Tomer</creatorcontrib><creatorcontrib>Loghavi, Sanam</creatorcontrib><creatorcontrib>Dick, John E</creatorcontrib><creatorcontrib>Schwartz, Gregory</creatorcontrib><creatorcontrib>Perusini, Maria Agustina</creatorcontrib><creatorcontrib>Sibai, Hassan</creatorcontrib><creatorcontrib>Hitzler, Johann</creatorcontrib><creatorcontrib>Gruber, Tanja A</creatorcontrib><creatorcontrib>Minden, Mark</creatorcontrib><creatorcontrib>Jones, Courtney L</creatorcontrib><creatorcontrib>Dolgalev, Igor</creatorcontrib><creatorcontrib>Jahangiri, Soheil</creatorcontrib><creatorcontrib>Tikhonova, Anastasia N</creatorcontrib><title>An inflammatory state defines a high-risk T-lineage acute lymphoblastic leukemia subgroup</title><title>Science translational medicine</title><addtitle>Sci Transl Med</addtitle><description>T-lineage acute lymphoblastic leukemia (ALL) is an aggressive cancer comprising diverse subtypes that are challenging to stratify using conventional immunophenotyping. To gain insights into subset-specific therapeutic vulnerabilities, we performed an integrative multiomics analysis of bone marrow samples from newly diagnosed T cell ALL, early T cell precursor ALL, and T/myeloid mixed phenotype acute leukemia. Leveraging cellular indexing of transcriptomes and epitopes in conjunction with T cell receptor sequencing, we identified a subset of patient samples characterized by activation of inflammatory and stem gene programs. These inflammatory T-lineage samples exhibited distinct biological features compared with other T-lineage ALL samples, including the production of proinflammatory cytokines, prevalence of mutations affecting cytokine signaling and chromatin remodeling, an altered immune microenvironment, and poor treatment responses. Moreover, we found that, although inflammatory T-lineage ALL samples were less sensitive to dexamethasone, they exhibited unique sensitivity to a BCL-2 inhibitor, venetoclax. To facilitate classification of patients with T-lineage ALL, we developed a computational inflammatory gene signature scoring system, which stratified patients and was associated with disease prognosis in three additional patient cohorts. 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inflammatory state defines a high-risk T-lineage acute lymphoblastic leukemia subgroup</title><author>Gower, Mark ; Li, Ximing ; Aguilar-Navarro, Alicia G ; Lin, Brian ; Fernandez, Minerva ; Edun, Gibran ; Nader, Mursal ; Rondeau, Vincent ; Arruda, Andrea ; Tierens, Anne ; Eames Seffernick, Anna ; Pölönen, Petri ; Durocher, Juliette ; Wagenblast, Elvin ; Yang, Lin ; Lee, Ho Seok ; Mullighan, Charles G ; Teachey, David ; Rashkovan, Marissa ; Tremblay, Cedric S ; Herranz, Daniel ; Itkin, Tomer ; Loghavi, Sanam ; Dick, John E ; Schwartz, Gregory ; Perusini, Maria Agustina ; Sibai, Hassan ; Hitzler, Johann ; Gruber, Tanja A ; Minden, Mark ; Jones, Courtney L ; Dolgalev, Igor ; Jahangiri, Soheil ; Tikhonova, Anastasia 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genetics</topic><topic>Precursor T-Cell Lymphoblastic Leukemia-Lymphoma - pathology</topic><topic>Prognosis</topic><topic>Sulfonamides - therapeutic use</topic><topic>T cell receptors</topic><topic>Transcriptome - genetics</topic><topic>Transcriptomes</topic><topic>Tumor Microenvironment - immunology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gower, Mark</creatorcontrib><creatorcontrib>Li, Ximing</creatorcontrib><creatorcontrib>Aguilar-Navarro, Alicia G</creatorcontrib><creatorcontrib>Lin, Brian</creatorcontrib><creatorcontrib>Fernandez, Minerva</creatorcontrib><creatorcontrib>Edun, Gibran</creatorcontrib><creatorcontrib>Nader, Mursal</creatorcontrib><creatorcontrib>Rondeau, Vincent</creatorcontrib><creatorcontrib>Arruda, Andrea</creatorcontrib><creatorcontrib>Tierens, Anne</creatorcontrib><creatorcontrib>Eames Seffernick, Anna</creatorcontrib><creatorcontrib>Pölönen, Petri</creatorcontrib><creatorcontrib>Durocher, 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Soheil</creatorcontrib><creatorcontrib>Tikhonova, Anastasia N</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Science translational medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gower, Mark</au><au>Li, Ximing</au><au>Aguilar-Navarro, Alicia G</au><au>Lin, Brian</au><au>Fernandez, Minerva</au><au>Edun, Gibran</au><au>Nader, Mursal</au><au>Rondeau, Vincent</au><au>Arruda, Andrea</au><au>Tierens, Anne</au><au>Eames Seffernick, Anna</au><au>Pölönen, Petri</au><au>Durocher, Juliette</au><au>Wagenblast, Elvin</au><au>Yang, Lin</au><au>Lee, Ho Seok</au><au>Mullighan, Charles G</au><au>Teachey, David</au><au>Rashkovan, Marissa</au><au>Tremblay, Cedric S</au><au>Herranz, Daniel</au><au>Itkin, Tomer</au><au>Loghavi, Sanam</au><au>Dick, John E</au><au>Schwartz, Gregory</au><au>Perusini, Maria Agustina</au><au>Sibai, Hassan</au><au>Hitzler, Johann</au><au>Gruber, Tanja A</au><au>Minden, Mark</au><au>Jones, Courtney L</au><au>Dolgalev, Igor</au><au>Jahangiri, Soheil</au><au>Tikhonova, Anastasia N</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An inflammatory state defines a high-risk T-lineage acute lymphoblastic leukemia subgroup</atitle><jtitle>Science translational medicine</jtitle><addtitle>Sci Transl Med</addtitle><date>2025-01</date><risdate>2025</risdate><volume>17</volume><issue>779</issue><spage>eadr2012</spage><pages>eadr2012-</pages><issn>1946-6234</issn><issn>1946-6242</issn><eissn>1946-6242</eissn><eissn>1946-3242</eissn><abstract>T-lineage acute lymphoblastic leukemia (ALL) is an aggressive cancer comprising diverse subtypes that are challenging to stratify using conventional immunophenotyping. To gain insights into subset-specific therapeutic vulnerabilities, we performed an integrative multiomics analysis of bone marrow samples from newly diagnosed T cell ALL, early T cell precursor ALL, and T/myeloid mixed phenotype acute leukemia. Leveraging cellular indexing of transcriptomes and epitopes in conjunction with T cell receptor sequencing, we identified a subset of patient samples characterized by activation of inflammatory and stem gene programs. These inflammatory T-lineage samples exhibited distinct biological features compared with other T-lineage ALL samples, including the production of proinflammatory cytokines, prevalence of mutations affecting cytokine signaling and chromatin remodeling, an altered immune microenvironment, and poor treatment responses. Moreover, we found that, although inflammatory T-lineage ALL samples were less sensitive to dexamethasone, they exhibited unique sensitivity to a BCL-2 inhibitor, venetoclax. To facilitate classification of patients with T-lineage ALL, we developed a computational inflammatory gene signature scoring system, which stratified patients and was associated with disease prognosis in three additional patient cohorts. By identifying a high-risk T-lineage ALL subtype on the basis of an inflammatory score, our study provides a framework for targeted therapeutic approaches for these challenging-to-treat cancers.</abstract><cop>United States</cop><pub>The American Association for the Advancement of Science</pub><pmid>39742502</pmid><doi>10.1126/scitranslmed.adr2012</doi><orcidid>https://orcid.org/0000-0003-2165-0099</orcidid><orcidid>https://orcid.org/0000-0002-3772-792X</orcidid><orcidid>https://orcid.org/0000-0003-2396-776X</orcidid><orcidid>https://orcid.org/0000-0001-8980-3202</orcidid><orcidid>https://orcid.org/0000-0002-9513-5703</orcidid><orcidid>https://orcid.org/0000-0002-9089-8816</orcidid><orcidid>https://orcid.org/0000-0001-6409-0613</orcidid><orcidid>https://orcid.org/0000-0003-2372-7547</orcidid><orcidid>https://orcid.org/0000-0003-1072-7257</orcidid><orcidid>https://orcid.org/0000-0003-1768-5969</orcidid><orcidid>https://orcid.org/0000-0002-9527-8317</orcidid><orcidid>https://orcid.org/0000-0002-9950-0149</orcidid><orcidid>https://orcid.org/0000-0003-4003-3045</orcidid><orcidid>https://orcid.org/0000-0001-9030-8583</orcidid><orcidid>https://orcid.org/0000-0001-7373-8987</orcidid><orcidid>https://orcid.org/0000-0002-0709-2759</orcidid><orcidid>https://orcid.org/0000-0002-1871-1850</orcidid><orcidid>https://orcid.org/0000-0002-6990-8186</orcidid><orcidid>https://orcid.org/0000-0003-0672-1493</orcidid><orcidid>https://orcid.org/0000-0003-4451-126X</orcidid><orcidid>https://orcid.org/0000-0003-1158-186X</orcidid><orcidid>https://orcid.org/0000-0003-2516-8005</orcidid><orcidid>https://orcid.org/0000-0002-5350-8313</orcidid><orcidid>https://orcid.org/0000-0001-6712-1606</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1946-6234 |
ispartof | Science translational medicine, 2025-01, Vol.17 (779), p.eadr2012 |
issn | 1946-6234 1946-6242 1946-6242 1946-3242 |
language | eng |
recordid | cdi_proquest_miscellaneous_3150835025 |
source | Alma/SFX Local Collection |
subjects | Acute lymphoblastic leukemia Bcl-2 protein Bone cancer Bridged Bicyclo Compounds, Heterocyclic Cell activation Chromatin remodeling Cytokines Cytokines - metabolism Dexamethasone Dexamethasone - therapeutic use Epitopes Humans Inflammation - pathology Leukemia Lymphatic leukemia Lymphocytes Lymphocytes T Microenvironments Mutation - genetics Phenotypes Precursor T-Cell Lymphoblastic Leukemia-Lymphoma - genetics Precursor T-Cell Lymphoblastic Leukemia-Lymphoma - pathology Prognosis Sulfonamides - therapeutic use T cell receptors Transcriptome - genetics Transcriptomes Tumor Microenvironment - immunology |
title | An inflammatory state defines a high-risk T-lineage acute lymphoblastic leukemia subgroup |
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