Evidence map›Paper›PMID 41749931›Full record

ReviewCancers2026

At the Crossroads of Lineage: Secondary Malignancies After CAR-Based Immunotherapy.

Logan Lorentzen, Mazie Tsang, Talal Hilal, Allison Rosenthal, Javier Munoz

Abstract readReview
In one paragraph

Review in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Logan LorentzenReno School of Medicine, University of Nevada, Reno, NV 89557, USA.
Mazie TsangDivision of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ 85054, USA.
Talal HilalDivision of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ 85054, USA.ORCID 0000-0001-8249-4128
Allison RosenthalDivision of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ 85054, USA.ORCID 0000-0002-8915-3163
Javier MunozDivision of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ 85054, USA.ORCID 0000-0002-9060-8911

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CD19-directed chimeric antigen receptor (CAR) T-cell therapies have been instrumental in improving outcomes of refractory or relapsed B-cell malignancies. However, there have been safety concerns due to recent reports of second primary malignancies (SPMs) related to CAR T-cell therapies. We reviewed articles from Embase, PubMed, and Cochrane Library records and included SPM case reports as well as cohort studies. Across published cohorts, secondary cutaneous or peripheral T-cell lymphoma (PTCL) after diffuse large B-cell lymphomas (DLBCLs) have been reported at low incidence (generally in the low single-digit percentage range). While CAR T-cell therapy is associated with these rare secondary malignancies and lineage-switch events primarily described in acute leukemia, they are clinically significant and have resulted in increased surveillance. The currently available evidence suggests that most secondary malignancies after CAR T-cell therapy are due to background risk and prior treatment exposures rather than direct CAR T-cell therapy induced oncogenesis. However, rare CAR T-cell therapy-associated second primary T-cell malignancies have been reported. To properly define incidence, mechanisms, and risk factors for CAR T-cell therapy-associated malignancies, continued prospective registry follow-up and additional research will be needed.

Indexed as

BCMACAR-TCD19DLBCLlong-term toxicitysecond primary malignancyT-cell lymphomatherapy-related myeloid neoplasm

Identifiers

PMID41749931
PMCPMC12939506

What OpenQuestion holds

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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.