Evidence map›Paper›PMID 42211052›Full record

ReviewGenes & diseases2026

Pan-cancer analysis and mechanistic insights of tuft cell-like tumors.

Mengling Ye, Yuyang Liu, Hui Li

Abstract readReview
In one paragraph

Review in Genes & diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

3 authors.

Mengling YeDepartment of Pathology, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA.
Yuyang LiuDepartment of Research, Guangxi Medical University Cancer Hospital, Nanning, Guangxi 530000, China.
Hui LiDepartment of Pathology, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuft cells are rare, chemosensory epithelial cells present in various tissues, including the respiratory and gastrointestinal tracts. Recent studies have revealed their significant role in cancer biology, particularly through the expression of the transcription factor POU2F3, which serves as a master regulator of tuft cell lineage. In several cancer types, including small cell lung cancer, gastric cancer, and breast cancer, POU2F3 expression defines a distinct molecular subtype termed "tuft cell-like" tumors. These tumors exhibit unique transcriptional programs and altered tumor-immune interactions, contributing to their distinct therapeutic sensitivities. In this review, we first analyze the expression patterns of POU2F3 across cancer types using the TCGA datasets, revealing differential expression profiles and supporting the classification of tuft cell-like subtypes. We further explore cancer-type-specific signaling pathways regulating tuft cell differentiation and function, such as IL-25, acetylcholine, and taste receptor-related pathways. Finally, we propose that tuft cell-like signatures may serve as promising biomarkers for diagnosis, prognosis, and treatment stratification. Understanding the tuft cell-like-POU2F3 axis could open new avenues for targeted therapies in lineage-defined cancers.

Indexed as

BiomarkersCancer classificationPOU2F3Tuft cellTuft cell-like tumors

Identifiers

PMID42211052
PMCPMC13213766

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.