Evidence map›Paper›PMID 39379098›Full record

Observational studyJournal for immunotherapy of cancer2024

EASIX-guided risk stratification for complications and outcome after CAR T-cell therapy with ide-cel in relapsed/refractory multiple myeloma.

Jan H Frenking, Xiang Zhou, Vivien Wagner, Thomas Hielscher, Joseph Kauer, Elias K Mai, Mirco J Friedrich, Christian S Michel, Marina Hajiyianni, Iris Breitkreutz and 16 more

Abstract readObservational Study
In one paragraph

Observational study in Journal for immunotherapy of cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
–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

37 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

26 authors.

Jan H FrenkingDepartment of Medicine V, University Hospital and Medical Faculty Heidelberg, Heidelberg, Baden-Württemberg, Germany jan.frenking@med.uni-heidelberg.de.ORCID http://orcid.org/0009-0001-9682-2601
Xiang ZhouInternal Medicine II, University Hospital of Würzburg, Würzburg, Bayern, Germany.
Vivien WagnerInternal Medicine II, University Hospital of Würzburg, Würzburg, Bayern, Germany.
Thomas HielscherDivision of Biostatistics, German Cancer Research Center, Heidelberg, Baden-Württemberg, Germany.
Joseph KauerDepartment of Medicine V, University Hospital and Medical Faculty Heidelberg, Heidelberg, Baden-Württemberg, Germany.
Elias K MaiDepartment of Medicine V, University Hospital and Medical Faculty Heidelberg, Heidelberg, Baden-Württemberg, Germany.
Mirco J FriedrichDepartment of Medicine V, University Hospital and Medical Faculty Heidelberg, Heidelberg, Baden-Württemberg, Germany.
Christian S MichelDepartment of Medicine V, University Hospital and Medical Faculty Heidelberg, Heidelberg, Baden-Württemberg, Germany.
Marina HajiyianniDepartment of Medicine V, University Hospital and Medical Faculty Heidelberg, Heidelberg, Baden-Württemberg, Germany.
Iris BreitkreutzDepartment of Medicine V, University Hospital and Medical Faculty Heidelberg, Heidelberg, Baden-Württemberg, Germany.
Patrick CostelloDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Omar NadeemDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Niels WeinholdDepartment of Medicine V, University Hospital and Medical Faculty Heidelberg, Heidelberg, Baden-Württemberg, Germany.
Hartmut GoldschmidtDepartment of Medicine V, University Hospital and Medical Faculty Heidelberg, Heidelberg, Baden-Württemberg, Germany.
Anita SchmittDepartment of Medicine V, University Hospital and Medical Faculty Heidelberg, Heidelberg, Baden-Württemberg, Germany.
Thomas LuftDepartment of Medicine V, University Hospital and Medical Faculty Heidelberg, Heidelberg, Baden-Württemberg, Germany.
Michael SchmittDepartment of Medicine V, University Hospital and Medical Faculty Heidelberg, Heidelberg, Baden-Württemberg, Germany.
Carsten Müller-TidowDepartment of Medicine V, University Hospital and Medical Faculty Heidelberg, Heidelberg, Baden-Württemberg, Germany.
Max ToppInternal Medicine II, University Hospital of Würzburg, Würzburg, Bayern, Germany.
Hermann EinseleInternal Medicine II, University Hospital of Würzburg, Würzburg, Bayern, Germany.
Peter DregerDepartment of Medicine V, University Hospital and Medical Faculty Heidelberg, Heidelberg, Baden-Württemberg, Germany.
Nikhil C MunshiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Adam S SperlingDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Leo RascheInternal Medicine II, University Hospital of Würzburg, Würzburg, Bayern, Germany.
Sandra SauerDepartment of Medicine V, University Hospital and Medical Faculty Heidelberg, Heidelberg, Baden-Württemberg, Germany.
Marc S RaabDepartment of Medicine V, University Hospital and Medical Faculty Heidelberg, Heidelberg, Baden-Württemberg, Germany.

Funding

Defining mechanisms of thalidomide analog resistanceK08CA252174 · NCI · DANA-FARBER CANCER INST · PI SPERLING, ADAM · 2020 to 2024
$1.3M
NCI NIH HHS K08 CA252174
6 · The paper itself

Abstract

backgroundChimeric antigen receptor (CAR) T-cell therapy has demonstrated significant benefits in the treatment of relapsed/refractory multiple myeloma (RRMM). However, these outcomes can be compromised by severe complications, including cytokine release syndrome, immune effector cell-associated neurotoxicity syndrome (ICANS) and immune effector cell-associated hematotoxicity (ICAHT), predisposing for life-threatening infections.

methodsThis retrospective observational study examined a total of 129 patients with RRMM who had received idecabtagene vicleucel (ide-cel) at two major myeloma centers in Germany and one center in the USA to assess the Endothelial Activation and Stress Index (EASIX) as a risk marker for an unfavorable clinical course and outcome after CAR T-cell therapy. EASIX is calculated by lactate dehydrogenase (U/L) × creatinine (mg/dL) / platelets (10

resultsAn elevated baseline EASIX (>median) was identified as a risk marker for severe late ICAHT, manifesting with an impaired hematopoietic reconstitution and pronounced cytopenias during the late post-CAR-T period. Patients with high EASIX levels (>upper quartile) were particularly at risk, as evidenced by an increased rate of an aplastic phenotype of neutrophil recovery, severe late-onset infections and ICANS. Finally, we found associations between baseline EASIX and an inferior progression-free and overall survival. Moreover, the EASIX at day 0 also demonstrated potential to serve as a risk marker for post-CAR-T complications and adverse outcomes.

conclusionsIn conclusion, EASIX aids in risk stratification at clinically relevant time points prior to CAR T-cell therapy with ide-cel. Increased EASIX levels might help clinicians to identify vulnerable patients to adapt peri-CAR-T management at an early stage.

Indexed as

Immunotherapy, AdoptiveMultiple MyelomaAdultAgedBiological ProductsCytokine Release SyndromeFemaleHumansMaleMiddle AgedReceptors, Chimeric AntigenRetrospective StudiesRisk AssessmentTreatment OutcomeBiological Productsidecabtagene vicleucelReceptors, Chimeric Antigenchimeric antigen receptor - CARcytopeniaimmunotherapymultiple myelomatreatment related adverse event - trAE

Identifiers

PMID39379098
PMCPMC11459298

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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.