Evidence map›Paper›PMID 40643584›Full record

ArticleBlood cancer discovery2025

Microbiota Shape Metabolic and Immune Determinants of CAR-T Therapy and Correlate with Outcomes in Myeloma.

Mireia Uribe-Herranz, Aina Oliver-Caldés, Neus Martínez-Micaelo, Marta Español-Rego, Maria Val-Casals, Roberto Martínez-Soler, Elisa Rubio-Garcia, Valeria Brunello, Erik Z Mihelic, Nela Klein-González and 21 more

Abstract read
In one paragraph

Article in Blood cancer discovery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

31 authors.

Mireia Uribe-HerranzInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.ORCID 0000-0002-2618-1116
Aina Oliver-CaldésInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.ORCID 0000-0002-7921-5420
Neus Martínez-MicaeloBiosfer Teslab, Reus, Spain.ORCID 0000-0001-6101-2847
Marta Español-RegoImmunology Department, Centre de Diagnòstic Biomèdic (CDB), Hospital Clínic de Barcelona, Barcelona, Spain.ORCID 0000-0001-5497-2276
Maria Val-CasalsInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.ORCID 0000-0003-2481-3295
Roberto Martínez-SolerInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.ORCID 0000-0003-1557-4456
Elisa Rubio-GarciaDepartment of Clinical Microbiology, Centre de Diagnòstic Biomèdic (CDB), Hospital Clínic of Barcelona, Barcelona, Spain.ORCID 0000-0002-2556-8837
Valeria BrunelloInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.ORCID 0009-0001-4754-0317
Erik Z MihelicInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.ORCID 0009-0006-2168-9814
Nela Klein-GonzálezInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.ORCID 0000-0002-4593-6457
Daniel Benítez-RibasImmunology Department, Centre de Diagnòstic Biomèdic (CDB), Hospital Clínic de Barcelona, Barcelona, Spain.ORCID 0000-0002-2346-5324
Núria AmigóBiosfer Teslab, Reus, Spain.ORCID 0000-0002-0116-9145
Andrea VergaraDepartment of Clinical Microbiology, Centre de Diagnòstic Biomèdic (CDB), Hospital Clínic of Barcelona, Barcelona, Spain.ORCID 0000-0002-5046-4490
Valentin Ortiz-MaldonadoHematology Department, Hospital Clínic de Barcelona, Universitat de Barcelona, Barcelona, Spain.ORCID 0000-0003-4699-6862
Luis Gerardo Rodríguez-LobatoInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.ORCID 0000-0001-5694-0921
Julio DelgadoHematology Department, Hospital Clínic de Barcelona, Universitat de Barcelona, Barcelona, Spain.ORCID 0000-0002-5157-4376
Iñaki Ortiz de LandazuriInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.ORCID 0000-0003-0953-0510
Verónica González-CalleHospital Universitario de Salamanca, Instituto de Investigacion Biomedica de Salamanca (IBSAL), Centro de Investigación del Cancer (IBMCC-USAL, CSIC), Salamanca, Spain.ORCID 0000-0002-5493-6707
Valentín CabañasHospital Clínico Universitario Virgen de la Arrixaca, IMIB-Arrixaca, University of Murcia, Murcia, Spain.ORCID 0000-0002-6248-2549
Beatriz Martin-AntonioDepartamento de Desarrollo de Medicamentos de Terapias Avanzadas, Instituto de Salud Carlos III, Madrid, Spain.ORCID 0000-0003-0612-2693
Lorena Pérez-AmillInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.ORCID 0000-0003-0674-4660
Juan Luis Reguera-OrtegaHospital Universitario Virgen del Rocío, Instituto de Biomedicina de Sevilla (IBIS/CSIC/CIBERONC), University of Sevilla, Sevilla, Spain.ORCID 0009-0009-6408-1747
Paula Rodríguez-OteroClínica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), IDISNA, CIBER-ONC number CB16/12/00369, Pamplona, Spain.ORCID 0000-0001-5236-7785
Bruno PaivaClínica Universidad de Navarra, Centro de Investigacion Medica Aplicada (CIMA), IDISNA, CIBER-ONC number CB16/12/00369, Pamplona, Spain.ORCID 0000-0003-1977-3815
Joaquín Martínez-LópezHospital Universitario 12 de Octubre, Complutense University, i+12, CNIO, Madrid, Spain.ORCID 0000-0001-7908-0063
Maria-Victoria MateosHospital Universitario de Salamanca, Instituto de Investigacion Biomedica de Salamanca (IBSAL), Centro de Investigación del Cancer (IBMCC-USAL, CSIC), Salamanca, Spain.ORCID 0000-0003-2390-1218
Mariona PascalInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.ORCID 0000-0003-0549-9720
Álvaro Urbano-IspizuaInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.ORCID 0000-0002-7529-9399
Europa Azucena González-NavarroImmunology Department, Centre de Diagnòstic Biomèdic (CDB), Hospital Clínic de Barcelona, Barcelona, Spain.ORCID 0000-0003-3310-5557
Carlos Fernández de LarreaInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.ORCID 0000-0003-4930-9255
Manel JuanInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.ORCID 0000-0002-3064-1648

Funding

Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) CB16/12/00369 and CB16/12/00489Departament d'Empresa i Coneixement, Generalitat de Catalunya (Ministry of Business and Knowledge, Government of Catalonia) 2019-BP-00204Fondo europeo de desarroloo regional (FEDER) 2021SGR01292Fundación Científica Asociación Española Contra el Cáncer (AECC) LABAE21971FERNHospital Clínic de Barcelona (HCB) Clínic-La Pedrera 2019Instituto de Salud Carlos III (ISCIII) FIS PI18/00775Instituto de Salud Carlos III (ISCIII) PI19/00669Instituto de Salud Carlos III (ISCIII) PI22/00647Instituto de Salud Carlos III (ISCIII) PICI18/00012 ICI19/00025'la Caixa' Foundation ('la Caixa') CP042702/LCF/PR/GN18/50310007REd de Terapia Celular TERCEL RD16/0011/0005RICORS TERAV network RD21/0017/0009 and RD21/0017/0019
6 · The paper itself

Abstract

Multiple myeloma remains incurable despite advances in immunotherapies like chimeric antigen receptor (CAR) T-cell therapy. This study investigates the role of metabolites and gut microbiota in clinical outcomes in patients treated with the humanized B-cell maturation antigen (BCMA)-directed CAR-T therapy ARI0002h. Stool metabolites, particularly succinate, were associated with CAR T-cell phenotypes and persistence in patients. In CAR T-cell culture, succinate supplementation enhanced CD4+ central memory phenotype and respiratory capacity. In a murine myeloma model, a succinate-enhancing diet significantly improved CAR T-cell persistence and showed a trend toward better tumor control. Furthermore, Acidaminococcaceae, Monoglobaceae, or Akkermansiaceae, along with specific metabolites, were associated with CAR T-cell clinical outcomes. These multimodal profiles were integrated into response models, including one that identified patients likely to achieve a complete response by days 100 and 180 after infusion. These findings suggest that metabolites and gut microbiota correlate with CAR T-cell therapy responses and can be a valuable tool for risk assessment. SIGNIFICANCE: This study integrates microbial profiles into response models, providing a tool to identify patients with multiple myeloma who may benefit from BCMA-directed CAR T-cell therapy optimization by identifying bacterial taxa and metabolites associated with CAR T-cell persistence and therapeutic outcomes.

Indexed as

Gastrointestinal MicrobiomeImmunotherapy, AdoptiveMultiple MyelomaReceptors, Chimeric AntigenAnimalsFemaleHumansMaleMiceTreatment OutcomeReceptors, Chimeric Antigen

Identifiers

PMID40643584
PMCPMC12405848

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.