Evidence map›Paper›PMID 41111642›Full record

ArticleCureus2025

Safe Treatment of an Extensive-Stage Small-Cell Lung Cancer With Tarlatamab in an Orthotopic Heart Transplantation Patient: A Case Report.

Amr Ismail, Tingting Zhang, Aaron Vickers, Drexell H Boggs, Aakash Desai, Yanis Boumber

Abstract readCase Reports
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Amr IsmailDepartment of Medicine, Division of Hematology and Oncology, University of Alabama at Birmingham School of Medicine, Birmingham, USA.
Tingting ZhangDepartment of Oncology, Shengli Oilfield Central Hospital, Dongying, CHN.
Aaron VickersDepartment of Medicine, Division of Hematology and Oncology, University of Alabama at Birmingham School of Medicine, Birmingham, USA.
Drexell H BoggsDepartment of Radiation Oncology, University of Alabama at Birmingham School of Medicine, Birmingham, USA.
Aakash DesaiDepartment of Medicine, Division of Hematology and Oncology, University of Alabama at Birmingham School of Medicine, Birmingham, USA.
Yanis BoumberDepartment of Medicine, Division of Hematology and Oncology, University of Alabama at Birmingham School of Medicine, Birmingham, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graft rejection is the major challenge that solid organ transplant recipients face. As a consequence, lung cancer patients of this population have been consistently excluded from clinical trials involving the use of immunotherapy agents due to the increased risk of graft rejection. Tarlatamab is a novel bi-specific T-cell recruiter monoclonal antibody targeting delta-like ligand 3 (DLL3) on cancer cells and CD3 on T-cells; hence, it is theoretically much safer than other checkpoint inhibitor immunotherapy agents that boost T-cells non-specifically. Tarlatamab received Food and Drug Administration (FDA) approval in 2024 for the treatment of adults with extensive-stage small-cell lung cancer (ES-SCLC) that has progressed on or after platinum-based chemotherapy. Here, we report safe treatment of an extensive-stage small-cell lung cancer patient with an orthotopic heart transplant with tarlatamab. The patient received four doses between April and June 2025 without evidence of graft rejection or dysfunction. As of August 2025, the patient continues treatment without any adverse events.

Indexed as

bispecific antibodycase reportheart transplantsmall-cell lung cancertarlatamab

Identifiers

PMID41111642
PMCPMC12535221

What OpenQuestion holds

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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.