Evidence map›Paper›PMID 42383289›Full record

ArticleOncology letters2026

A HRH1-YAP1 feedback loop drives pancreatic cancer progression and predicts therapeutic response.

Junliang Chen, Jun Wen

Abstract read
In one paragraph

Article in Oncology letters, 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

2 authors.

Junliang ChenSection for HepatoPancreatoBiliary Surgery, Department of General Surgery, The Third People's Hospital of Chengdu, Chengdu, Sichuan 610014, P.R. China.
Jun WenSection for HepatoPancreatoBiliary Surgery, Department of General Surgery, The Third People's Hospital of Chengdu, Chengdu, Sichuan 610014, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy with a dismal prognosis, characterized by an immunosuppressive tumor microenvironment and rapid development of chemoresistance. The present study investigated the histamine receptor H1 (HRH1), a G protein-coupled receptor, and its functional interplay with the transcriptional coactivator YAP1, a known driver of PDAC progression. Through integrated multi-omics analysis of data from TCGA, ICGC and GEO cohorts, the present study found that HRH1 was consistently overexpressed in PDAC, and its expression correlated with poor prognosis. Mendelian randomization analysis further suggested a causal relationship between the use of fexofenadine, an HRH1 antagonist, and a reduced risk of PDAC. Mechanistically, the present study identified a positive feedback loop in which HRH1 stabilizes and activates YAP1 signaling, while YAP1 knockdown downregulates HRH1 transcription, potentially through direct binding to the HRH1 promoter region. The present study constructed a prognostic model based on the HRH1-YAP1 axis by integrating a panel of 101 machine learning algorithms. The model, which includes HRH1, YAP1, ECT2, ITGB5, SHCBP1, MAML2, YWHAZ and ITGA2, effectively stratified patients into groups with differential risk. Patients in the high-risk group exhibited characteristics associated with worse outcomes, including KRAS mutations, chemoresistance, an immunosuppressive microenvironment and reduced responsiveness to immunotherapy. The present study establishes HRH1 as a novel therapeutic target in PDAC and proposes the repurposing of fexofenadine as a promising strategy to disrupt the oncogenic HRH1-YAP1 feedback loop.

Indexed as

fexofenadineGPCRHRH1pancreatic ductal adenocarcinomaprognostic modelYAP1

Identifiers

PMID42383289
PMCPMC13316642

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.