Evidence map›Paper›PMID 39704157›Full record

ArticleHaematologica2025

Metabolic profile evolution in relapsed/refractory B-cell non-Hodgkin lymphoma patients treated with CD19 chimeric antigen receptor T-cell therapy and implications in clinical outcome.

Serena De Matteis, Laura Del Coco, Federica De Castro, Anna Maria Giudetti, Beatrice Casadei, Francesco Iannotta, Francesco De Felice, Enrica Tomassini, Francesca Vaglio, Maria Naddeo and 21 more

Abstract read
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Serena De MatteisIRCCS Azienda Ospedaliero-Universitaria di Bologna.
Laura Del CocoDepartment of Biological and Environmental Sciences and Technologies (Di.S.Te.B.A.), University of Salento, Lecce.
Federica De CastroDepartment of Biological and Environmental Sciences and Technologies (Di.S.Te.B.A.), University of Salento, Lecce.
Anna Maria GiudettiDepartment of Biological and Environmental Sciences and Technologies (Di.S.Te.B.A.), University of Salento, Lecce.
Beatrice CasadeiIRCCS Azienda Ospedaliero-Universitaria di Bologna.
Francesco IannottaIRCCS Azienda Ospedaliero-Universitaria di Bologna.
Francesco De FeliceIRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna Italy; Department of Medical and Surgical Sciences (DIMEC) University of Bologna, Bologna.
Enrica TomassiniIRCCS Azienda Ospedaliero-Universitaria di Bologna.
Francesca VaglioIRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna Italy; Department of Medical and Surgical Sciences (DIMEC) University of Bologna, Bologna.
Maria NaddeoIRCCS Azienda Ospedaliero-Universitaria di Bologna.
Irene SalamonIRCCS Azienda Ospedaliero-Universitaria di Bologna.
Gianluca StorciIRCCS Azienda Ospedaliero-Universitaria di Bologna.
Noemi LaproviteraIRCCS Azienda Ospedaliero-Universitaria di Bologna.
Daria MesselodiIRCCS Azienda Ospedaliero-Universitaria di Bologna.
Salvatore Nicola BertuccioIRCCS Azienda Ospedaliero-Universitaria di Bologna.
Marta TassoniDepartment of Medical and Surgical Sciences (DIMEC) University of Bologna, Bologna.
Barbara SinigagliaIRCCS Azienda Ospedaliero-Universitaria di Bologna.
Francesco BarbatoIRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna Italy; Department of Medical and Surgical Sciences (DIMEC) University of Bologna, Bologna.
Margherita UrsiIRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna Italy; Department of Medical and Surgical Sciences (DIMEC) University of Bologna, Bologna.
Elena CampaniniIRCCS Azienda Ospedaliero-Universitaria di Bologna.
Enrico MaffiniIRCCS Azienda Ospedaliero-Universitaria di Bologna.
Marcello RobertoIRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna Italy; Department of Medical and Surgical Sciences (DIMEC) University of Bologna, Bologna.
Cinzia PellegriniIRCCS Azienda Ospedaliero-Universitaria di Bologna.
Elisa DanIRCCS Azienda Ospedaliero-Universitaria di Bologna.
Chiara PirazziniDepartment of Medical and Surgical Sciences (DIMEC) University of Bologna, Bologna.
Paolo GaragnaniIRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna Italy; Department of Medical and Surgical Sciences (DIMEC) University of Bologna, Bologna.
Manuela FerracinIRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna Italy; Department of Medical and Surgical Sciences (DIMEC) University of Bologna, Bologna.
Pier Luigi ZinzaniIRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna Italy; Department of Medical and Surgical Sciences (DIMEC) University of Bologna, Bologna.
Francesco Paolo FanizziDepartment of Biological and Environmental Sciences and Technologies (Di.S.Te.B.A.), University of Salento, Lecce.
Massimiliano BonafèIRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna Italy; Department of Medical and Surgical Sciences (DIMEC) University of Bologna, Bologna. massimiliano.bonafe@unibo.it.
Francesca BonifaziIRCCS Azienda Ospedaliero-Universitaria di Bologna.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plasma metabolomics analysis was performed on 44 patients with relapsed/refractory B-cell non-Hodgkin lymphoma (r/r/BNHL) infused with approved CD19 chimeric antigen receptor (CAR) T-cell products at the time of pre-lymphodepletion (PLD) and at day +1 (D1), D7, and D30 after CAR T-cell infusion. At the PLD time point, a metabolic profile characterized by high lipoproteins and lactate and low glucose contributed to poor outcome prediction in association with high lactate dehydrogenase levels. At D1, higher plasma levels of lipid metabolism products and lower glucose and glycoproteins levels were observed in tisa-cel-compared to axi-cel-treated patients. At D30, discriminant analysis found two clusters in a subgroup of patients, one with complete response lasting 1 year after therapy, and another who relapsed within 1 year (relapsed >D30). This latter showed a higher content of N-GlycA, a known biomarker of systemic inflammation that is also correlated with C-reactive protein in our case setting of relapsing patients. Our data show complex metabolomic changes that track the evolution of the disease and drug activity in the first 30 days of CAR T-cell therapy. Conceivably, a pro-inflammatory drift may be linked to a forthcoming disease relapse in CAR T patients.

Indexed as

Antigens, CD19Immunotherapy, AdoptiveLymphoma, B-CellMetabolomeReceptors, Chimeric AntigenAdultAgedFemaleHumansMaleMetabolomicsMiddle AgedNeoplasm Recurrence, LocalRecurrenceTreatment OutcomeAntigens, CD19Receptors, Chimeric Antigen

Identifiers

PMID39704157
PMCPMC12208157

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Registered trials

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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.