Evidence map›Paper›PMID 42065052›Full record

ReviewOncology research2026

Multidimensional Regulatory Network of

Jun-Hui Chen, Si-Run Du, Chang Liu, Bei-Bei Liu, Hai-Ying Xu, Xin-Ying Ji, Bo Feng, Chun-Zheng Ma, Jun-Hui Guo

Abstract readReview
In one paragraph

Review in Oncology research, 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

9 authors.

Jun-Hui ChenThe Second School of Clinical Medicine, Henan University of Traditional Chinese Medicine, Zhengzhou, China.
Si-Run DuThe Second School of Clinical Medicine, Henan University of Traditional Chinese Medicine, Zhengzhou, China.
Chang LiuThe Second School of Clinical Medicine, Henan University of Traditional Chinese Medicine, Zhengzhou, China.
Bei-Bei LiuThe Second School of Clinical Medicine, Henan University of Traditional Chinese Medicine, Zhengzhou, China.
Hai-Ying XuHenan Provincial Research Center of Engineering Technology for Nuclear Protein Medical Detection, Zhengzhou Health College, Zhengzhou, China.
Xin-Ying JiHenan Provincial Research Center of Engineering Technology for Nuclear Protein Medical Detection, Zhengzhou Health College, Zhengzhou, China.
Bo FengDepartment of Oncology, The Second Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, China.
Chun-Zheng MaDepartment of Oncology, The Second Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, China.
Jun-Hui GuoDepartment of Oncology, The Second Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal cancer (EC) ranks among the most lethal gastrointestinal malignancies. Due to challenges in early diagnosis, molecular heterogeneity, and therapeutic resistance, patient prognosis remains extremely poor, necessitating the development of novel biomarkers and therapeutic targets. As a core effector of the Hippo signaling pathway, the potential significance of Yes-associated protein 1 (

Indexed as

Adaptor Proteins, Signal TransducingEsophageal NeoplasmsGene Regulatory NetworksTranscription FactorsAnimalsBiomarkers, TumorDisease ProgressionEpithelial-Mesenchymal TransitionGene Expression Regulation, NeoplasticHumansMolecular Targeted TherapyPhosphoproteinsPrognosisSignal TransductionYAP-Signaling ProteinsAdaptor Proteins, Signal TransducingBiomarkers, TumorPhosphoproteinsTranscription FactorsYAP1 protein, humanYAP-Signaling Proteinsesophageal cancerHippo signaling pathwaymolecular mechanismsprognosistargeted therapyYes-associated protein 1

Identifiers

PMID42065052
PMCPMC13126575

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.