Evidence map›Paper›PMID 38693452›Full record

ArticleJournal of cancer research and clinical oncology2024

Effective bridging strategies prior to infusion with tisagenlecleucel results in high response rates and long-term remission in relapsed/refractory large B-cell lymphoma: findings from a German monocentric study.

Farina Eigendorff, Irina Filimonova, Sebastian Scholl, Anne Sayer-Klink, Silke Rummler, Christa Kunert, Klaus Pietschmann, Andrea Wittig, Andreas Hochhaus, Ulf Schnetzke

Open access · goldAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 14% of its field
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

10 authors at 1 institution in 1 country.

Farina Eigendorff *Klinik Für Innere Medizin II, Abteilung für Hämatologie und Internistische Onkologie, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany.
Irina Filimonova *Klinik für Strahlentherapie und Radioonkologie, Universitätsklinikum Jena, Jena, Germany.
Sebastian SchollKlinik Für Innere Medizin II, Abteilung für Hämatologie und Internistische Onkologie, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany.
Anne Sayer-KlinkInstitut für Transfusionsmedizin, Universitätsklinikum Jena, Jena, Germany.
Silke RummlerInstitut für Transfusionsmedizin, Universitätsklinikum Jena, Jena, Germany.
Christa KunertKlinik Für Innere Medizin II, Abteilung für Hämatologie und Internistische Onkologie, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany.
Klaus PietschmannKlinik für Strahlentherapie und Radioonkologie, Universitätsklinikum Jena, Jena, Germany.
Andrea WittigKlinik für Strahlentherapie und Radioonkologie, Universitätsklinikum Jena, Jena, Germany.
Andreas HochhausKlinik Für Innere Medizin II, Abteilung für Hämatologie und Internistische Onkologie, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany.
Ulf SchnetzkeKlinik Für Innere Medizin II, Abteilung für Hämatologie und Internistische Onkologie, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany. ulf.schnetzke@med.uni-jena.de.
Jena University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncorporating chimeric antigen receptor (CAR)-T cell therapy into relapsed or refractory large B-cell lymphoma (rr LBCL) treatment algorithms has yielded remarkable response rates and durable remissions, yet a substantial portion of patients experience progression or relapse. Variations in outcomes across treatment centers may be attributed to different bridging strategies and remission statuses preceding CAR-T cell therapy. PATIENTS: Twenty-nine consecutive adult patients receiving tisagenlecleucel (tisa-cel) for rr LBCL from December 2019 to February 2023 at Jena University Hospital were analyzed.

resultsThe median age was 63, with a median of 3 prior treatments. Twenty patients (69%) were refractory to any systemic therapy before CAR-T cell treatment. Following leukapheresis, 25 patients (86%) received bridging therapy with the majority undergoing chemotherapy (52%) or combined modality therapy (32%). Radiotherapy (RT) was part of the bridging strategy in 44%, with moderately hypofractionated involved site RT (30.0 Gy/2.5 Gy) being applied most frequently (64%). Post-CAR-T infusion, the objective response rate at 30 days was 83%, with 55% achieving complete response. Twelve-month progression-free (PFS) and overall survival (OS) were 60% and 74%, respectively, with a median follow up of 11.1 months for PFS and 17.9 months for OS. Factors significantly associated with PFS were chemotherapy sensitivity pre-leukapheresis and response to bridging.

conclusionThe study underscores the importance of minimal tumor burden at CAR-T initiation, emphasizing the need for suitable bridging regimens. The findings advocate for clinical trials and further real-world analyses to optimize CAR-T cell therapy outcomes by identifying the most effective bridging strategies.

Indexed as

Immunotherapy, AdoptiveLymphoma, Large B-Cell, DiffuseAdultAgedCombined Modality TherapyFemaleGermanyHumansMaleMiddle AgedNeoplasm Recurrence, LocalReceptors, Antigen, T-CellRemission InductionRetrospective StudiesReceptors, Antigen, T-CelltisagenlecleucelBridgingCAR-TLarge B-cell lymphomaRadiotherapyTisagenlecleucel

Identifiers

PMID38693452
PMCPMC11062962
OpenAlexW4396540700

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.