Evidence map›Paper›PMID 40438977›Full record

ArticleHaematologica2025

CAR T expansion and systemic inflammation: diverging impacts on large B-cell lymphoma therapy in the multicenter CART SIE study.

Martina Magni, Sadhana Jonnalagadda, Francesca Bonifazi, Massimiliano Bonafe, Silva Ljevar, Giada Zanirato, Serena De Matteis, Federico Stella, Angelica Barone, Giulia Bertolini and 16 more

Abstract readMulticenter Study
In one paragraph

Article in Haematologica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
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

26 authors.

Martina MagniHematology division, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan.
Sadhana JonnalagaddaHematology division, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan.
Francesca BonifaziIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seragnoli", Bologna.
Massimiliano BonafeIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seragnoli", Bologna, Italy; Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna.
Silva LjevarUnit of Biostatistics for Clinical Research, Department of Data Science, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan.
Giada ZaniratoHematology division, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan.
Serena De MatteisIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seragnoli", Bologna.
Federico StellaSchool of Medicine, Universita degli Studi di Milano, Milan.
Angelica BaroneHematology division, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy; School of Medicine, Universita degli Studi di Milano, Milan.
Giulia BertoliniUnit of Epigenomics and Biomarkers of Solid Tumors, Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan.
Anisa BermemaHematology division, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan.
Annalisa ChiappellaHematology division, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan.
Maria Chiara TisiHematology Unit, San Bortolo Hospital, Vicenza.
Ilaria CutiniSOD Terapie Cellulari e Medicina Trasfusionale, AAD Trapianto di midollo osseo, Ospedale Careggi, Florence.
Mattia NovoSC Ematologia, AOU Citta della Salute e della Scienza, Torino.
Giovanni GrilloDipartimento di Ematologia e trapianto di midollo, ASST Grande Ospedale Metropolitano Niguarda, Milan.
Mirko FarinaUnit of Blood Disease and Bone Marrow Transplantation, and Unit of Hematology, University of Brescia, ASST Spedali Civili di Brescia, Brescia.
Massimo MartinoHematology and Stem Cell Transplantation and Cellular Therapies Unit (CTMO), Department of Hemato-Oncology and Radiotherapy, Grande Ospedale Metropolitano "Bianchi-Melacrino-Morelli", Reggio Calabria.
Mauro KramperaHematology and Bone Marrow Transplant Unit, Section of Biomedicine of Innovation, Department of Engineering for Innovative Medicine (DIMI), University of Verona, Verona.
Massimo MassaiaDivision of Hematology - AO S. Croce e Carle, Cuneo and Laboratory of Blood Tumor Immunology, Molecular Biotechnology Center "Guido Tarone", University of Torino.
Luca ArcainiDepartment of Molecular Medicine, University of Pavia, Pavia, Italy; Division of Hematology, Fondazione IRCCS Policlinico San Matteo, Pavia.
Stefania BramantiDepartment of Oncology/Hematology, IRCCS Humanitas Research Hospital, Milan.
Pier Luigi ZinzaniIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seragnoli", Bologna, Italy; Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna.
Anna DoderoHematology division, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan.
Paolo CorradiniHematology division, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy; School of Medicine, Universita degli Studi di Milano, Milan.
Cristiana CarnitiHematology division, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan. cristiana.carniti@istitutotumori.mi.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chimeric antigen receptor (CAR) T expansion has been linked to anti-tumor response in relapsed/refractory large B-cell lymphoma both in clinical trials and smaller real-world studies. Here, we present the largest multicenter real-world analysis to date, evaluating 262 patients treated with tisagenlecleucel or axicabtagene ciloleucel in second or subsequent relapse. Our findings underscore the complementary roles of multiparameter flow cytometry and droplet digital polymerase chain reaction in monitoring CAR T cells. While droplet digital polymerase chain reaction accurately quantifies transgene copies, multiparameter flow cytometry provides critical phenotypic details, revealing CAR T-cell subpopulations that are associated with its efficacy. Consistent with prior studies, we confirm the association of CAR T expansion with response rates, progression-free survival, and toxicities. However, we reveal that expansion alone does not ensure efficacy. Elevated markers of systemic inflammation, such as ferritin and C-reactive protein, are linked to poorer outcomes despite robust expansion. These markers correlate with reduced cytotoxic CD8+ T cells with central memory features among in vivo expanded CAR T-cell populations, with similar associations observed in manufactured and leukapheresis products. Importantly, patients with high baseline inflammation who achieved significant expansion demonstrated progression-free survival outcomes comparable to those with limited expansion, highlighting the negative impact of inflammation on CAR T-cell efficacy. Interestingly, ferritin and C-reactive protein levels were similar among responding patients, regardless of differences in CAR T expansion. Collectively, our findings indicate that systemic inflammation is associated with the phenotypic quality of T and CAR T cells. While functional validation is warranted, these results underscore the need to address inflammatory pathways to improve treatment outcomes.

Indexed as

Immunotherapy, AdoptiveInflammationLymphoma, Large B-Cell, DiffuseReceptors, Antigen, T-CellReceptors, Chimeric AntigenAdultAgedAntigens, CD19Biological ProductsFemaleHumansMaleMiddle AgedAntigens, CD19axicabtagene ciloleucelBiological ProductsReceptors, Antigen, T-CellReceptors, Chimeric Antigentisagenlecleucel

Identifiers

PMID40438977
PMCPMC12580699

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.