Evidence map›Paper›PMID 40830878›Full record

ReviewCancer cell international2025

The components and regulation of the Hippo pathway and its relationships with the progression and treatment of Non-small cell lung cancer (NSCLC).

Yuheng Feng, Xueting Gan, Xuezhu Rong, Qiang Han

Abstract readReview
In one paragraph

Review in Cancer cell international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Yuheng FengDepartment of Pathology, the First Hospital and College of Basic Medical Sciences of China Medical University, No. 155 Nanjing North Street, Heping Area, Shenyang, Liaoning Province, P. R. China.
Xueting GanDepartment of Pathology, the First Hospital and College of Basic Medical Sciences of China Medical University, No. 155 Nanjing North Street, Heping Area, Shenyang, Liaoning Province, P. R. China.
Xuezhu RongDepartment of Pathology, the First Hospital of China Medical University, No. 155 Nanjing North Street, Heping Area, Shenyang, Liaoning Province, P. R. China. 20192057@cmu.edu.cn.
Qiang HanDepartment of Pathology, the First Hospital and College of Basic Medical Sciences of China Medical University, No. 155 Nanjing North Street, Heping Area, Shenyang, Liaoning Province, P. R. China. qhan@cmu.edu.cn.

Funding

National Natural Science Foundation of China 81902986National Natural Science Foundation of China 82003119
6 · The paper itself

Abstract

backgroundLung cancer is one of the most common malignant tumours, with non-small cell lung cancer (NSCLC) being the predominant type. The morbidity and mortality rates of lung cancer are increasing worldwide. The Hippo signalling pathway is one of the eight classical human cancer signalling pathways, forming a complex signalling network regulated by intracellular and extracellular signals. Under physiological conditions, it plays a crucial role in inhibiting tumor development. MAIN TEXT: Inhibition of the Hippo signalling pathway leads to abnormal activation of its downstream core components, YAP/TAZ, which in turn enhances tumor cell proliferation, invasion, and migration. Recent studies have identified numerous small-molecule inhibitors that target key proteins within the Hippo signalling pathway, which is highly important for the treatment of tumors.

conclusionThis paper reviews the activation mechanisms of the Hippo signalling pathway, its crosstalk with other pathways, and potential therapeutic targets to provide new therapeutic avenues.

Indexed as

Cancer biologyHippo signalling pathwayTAZTumour regulationYAP

Identifiers

PMID40830878
PMCPMC12366177

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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.