Evidence map›Paper›PMID 41953500›Full record

ArticleCase reports in oncological medicine2026

Primary Pulmonary NUT Carcinoma: A Case Illustration of Therapeutic Challenges and Review of Emerging Targeted Therapies.

Jessica Y Bae, Xiang Yu Gao, Josephine K Dermawan, Jessica A Hellyer

Abstract read
In one paragraph

Article in Case reports in oncological medicine, 2026. 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

4 authors.

Jessica Y BaeElson S. Floyd College of Medicine, Washington State University, Spokane, Washington, USA, wsu.edu.ORCID https://orcid.org/0009-0009-6602-2011
Xiang Yu GaoElson S. Floyd College of Medicine, Washington State University, Spokane, Washington, USA, wsu.edu.ORCID https://orcid.org/0009-0009-5627-0759
Josephine K DermawanRobert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, Ohio, USA, clevelandclinic.org.ORCID https://orcid.org/0000-0002-1139-2914
Jessica A HellyerSan Juan Cancer Center, Montrose Regional Health, Montrose, Colorado, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pulmonary NUT carcinoma is a rare but highly aggressive malignancy with poor prognosis. It typically affects younger patients with no smoking history. Given its rapid progression, it is crucial to consider it as a differential diagnosis in a poorly differentiated thoracic mass to ensure timely diagnosis and management. Case Presentation: We report a case of primary pulmonary NUT carcinoma diagnosed in a 59-year-old male with a never-smoking history during routine screening for possible occupational asbestos exposure. The preliminary diagnosis of metastatic keratinizing squamous cell carcinoma was later reclassified as NUT carcinoma by immunohistochemistry. Next generation sequencing of ctDNA showed Conclusion: Due to its rarity and poor therapeutic response, there is currently no established standard of treatment for pulmonary NUT carcinoma. Timely and accurate diagnosis remains challenging due to its nonspecific presentation and rarity, resulting in low clinical suspicion, especially in patients outside the typical demographic. Common first-line treatments include platinum-based regimens in combination with etoposide or paclitaxel. Several clinical trials of BET and histone deacetylase inhibitors are active, and clinicians are encouraged to enroll patients to maximize survival outcomes.

Indexed as

BRD4-NUT fusioncase reportlung cancerNUT carcinomaNUTM1 proteinPD-1 inhibitor

Identifiers

PMID41953500
PMCPMC13054950

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.