Evidence map›Paper›PMID 39863772›Full record

ArticleNPJ precision oncology2025

Adding checkpoint inhibitors to first-line chemotherapy for NUT carcinoma patients.

Sarah Haebe, Gesa Schuebbe, Philipp Jurmeister, Michael von Bergwelt-Baildon, C Benedikt Westphalen, Ulrich M Lauer, Wolfgang G Kunz, Marion Subklewe, Oliver Weigert

Abstract read
In one paragraph

Article in NPJ precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. 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

9 authors.

Sarah HaebeDepartment of Medicine III, LMU University Hospital, Munich, Germany.
Gesa SchuebbeDepartment of Medicine III, LMU University Hospital, Munich, Germany.
Philipp JurmeisterDepartment of Pathology, LMU University Hospital, Munich, Germany.
Michael von Bergwelt-BaildonDepartment of Medicine III, LMU University Hospital, Munich, Germany.
C Benedikt WestphalenDepartment of Medicine III, LMU University Hospital, Munich, Germany.ORCID http://orcid.org/0000-0002-5310-3754
Ulrich M LauerDepartment of Medicine VIII, University Hospital Tübingen, Tübingen, Germany.
Wolfgang G KunzDepartment of Radiology, LMU University Hospital, Munich, Germany.
Marion SubkleweDepartment of Medicine III, LMU University Hospital, Munich, Germany.
Oliver WeigertDepartment of Medicine III, LMU University Hospital, Munich, Germany. oliver.weigert@med.uni-muenchen.de.ORCID http://orcid.org/0000-0002-0987-7373

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rare cancers present significant challenges in diagnosis, treatment, and research, accounting for up to 25% of global cancer cases. Due to their rarity and atypical presentations, they are often misdiagnosed, resulting in late-stage detection and poor outcomes. Here, we describe a patient case with advanced metastatic nasopharynx NUT carcinoma, one of the rarest and most aggressive cancers. We conducted a comprehensive analysis of this patient's tumor, including Tumor Mutation Burden, Microsatellite Instability, and genetic profiling to explore further putative druggable targets. The tumor exhibited high PD-L1 expression and showed a notable response to immune checkpoint inhibitors when combined with platinum-based radio-chemotherapy. Our findings indicate that checkpoint inhibitors could play a critical role in treating NUT carcinoma, offering new therapeutic avenues and hope for patients with this challenging diagnosis. Whether PD-L1 expression may be a useful predictor of immune checkpoint inhibitor efficacy warrants further research.

Identifiers

PMID39863772
PMCPMC11762287

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.