Evidence map›Paper›PMID 42637877›Full record

ArticleLeukemia2026

TP53-mutant CHIP defines a pro-inflammatory phenotype and predicts adverse outcomes after CAR T-cell therapy.

Giulia Rappa, Frank Ziemann, Kieron White, Linus Kruk, Samar Shamas, Amelie Muth, Kayleen Shi, Cristina Zucchinetti, Savanna Süß, Maja Rothenberg-Thurley and 10 more

Abstract read
PubMed Publisher
In one paragraph

Article in Leukemia, 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

20 authors.

Giulia Rappa *Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.ORCID http://orcid.org/0009-0001-1050-0258
Frank Ziemann *Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Kieron WhiteDepartment of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Linus KrukDepartment of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Samar ShamasDepartment of Medicine III, University Hospital, LMU Munich, Munich, Germany.ORCID http://orcid.org/0009-0001-3837-8055
Amelie MuthDepartment of Medicine III, University Hospital, LMU Munich, Munich, Germany.ORCID http://orcid.org/0009-0009-6900-7212
Kayleen ShiDepartment of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Cristina ZucchinettiDepartment of Medicine III, University Hospital, LMU Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-8529-6490
Savanna SüßDepartment of Medicine III, University Hospital, LMU Munich, Munich, Germany.ORCID http://orcid.org/0009-0009-2900-5351
Maja Rothenberg-ThurleyLaboratory for Leukemia Diagnostics (LFL), LMU Munich, Munich, Germany.
Alessandra HolzemDepartment of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Tobias TixDepartment of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Agnese PetreraMetabolomics and Proteomics Core Facility, Helmholtz Zentrum Munich-German Research Center for Environmental Health, Munich, Germany.
Bianka KsienzykLaboratory for Leukemia Diagnostics (LFL), LMU Munich, Munich, Germany.
Charlotte BentenriederLaboratory for Leukemia Diagnostics (LFL), LMU Munich, Munich, Germany.
Katharina S GötzeThe Bavarian Cancer Research Center (BZKF), Munich, Germany.ORCID http://orcid.org/0000-0002-6276-8002
Fabian MüllerDepartment of Internal Medicine 5-Hematology and Oncology, University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0001-5487-5839
Veit BückleinDepartment of Medicine III, University Hospital, LMU Munich, Munich, Germany.ORCID http://orcid.org/0000-0001-7391-7280
Kai RejeskiDepartment of Medicine III, University Hospital, LMU Munich, Munich, Germany.ORCID http://orcid.org/0000-0003-3905-0251
Marion SubkleweDepartment of Medicine III, University Hospital, LMU Munich, Munich, Germany. marion.subklewe@med.uni-muenchen.de.ORCID http://orcid.org/0000-0001-9154-9469

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clonal hematopoiesis of indeterminate potential (CHIP) has been well-characterized in patients receiving chemotherapy and hematopoietic cell transplantation. However, its immunologic relevance and potential role in modulating chimeric antigen receptor T-cell (CAR-T) therapy-related toxicities, inflammation, and clinical outcomes remains incompletely defined. In this exploratory study of 104 CAR-T recipients, we investigated the prognostic impact of pre-existing CHIP clones on toxicity and survival, and examined CHIP-associated inflammatory proteomic signatures leveraging longitudinal serum samples. Overall CHIP status was not associated with inflammatory toxicities, outcomes, or systemic inflammatory profiles. Analysis of clonal dynamics revealed TP53- and ASXL1-mutated clones to be the dominant expanding CHIP clones post-infusion, whereas DNMT3A- and PPM1D-mutated clones showed reduced clonal abundance over time. Notably, TP53-mutated CHIP was linked to lower platelet and hemoglobin levels, a higher baseline CAR-HEMATOTOX score, inferior clinical outcomes, and a distinct inflammatory signature. These findings identify TP53-mutated CHIP in CAR-T-treated patients as a high-risk CHIP genotype compared with other CHIP mutations. Importantly, patients who developed treatment-emergent myeloid neoplasms after CAR T-cell therapy exhibited distinct patterns of clonal expansion and inflammatory profiles. Together, these findings support a risk-adapted approach prioritizing longitudinal monitoring of TP53-mutated CHIP, especially in patients with high CAR-HEMATOTOX scores who develop cytopenias.

Identifiers

What OpenQuestion holds

Textmetadata
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.