Evidence map›Paper›PMID 40210482›Full record

ReviewZhongguo fei ai za zhi = Chinese journal of lung cancer2025

[Research Advances in Targeting the YAP/TAZ Signaling Pathway 
to Improve Cancer Immunotherapy].

Pingxu Zhang, Yiyi Zhan

Abstract readReviewEnglish Abstract
In one paragraph

Review in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

2 authors.

Pingxu ZhangTumor Hospital Affiliated to Xinjiang Medical University, Urumqi 830000, China.
Yiyi ZhanTumor Hospital Affiliated to Xinjiang Medical University, Urumqi 830000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the groundbreaking advances in cancer immunotherapy achieved by immune checkpoint inhibitors (ICIs), their efficacy remains limited by the immunosuppressive tumor microenvironment (TME). Yes-associated protein (YAP) and transcriptional coactivator with PDZ-binding motif (TAZ), key effectors of the Hippo signaling pathway, play pivotal roles in tumor immune evasion. They directly regulate the expression of immune checkpoints, mediate the formation of an immunosuppressive microenvironment, inhibit T cell function, and interact with other signaling pathways to promote immune escape. Diverse strategies targeting YAP/TAZ have been developed, including direct inhibition, modulation of upstream regulators, and suppression of downstream target genes. Preclinical studies have demonstrated that combining YAP/TAZ inhibition with ICIs significantly enhances therapeutic efficacy across various tumor models. This review summarizes recent advances in understanding the role of YAP/TAZ in immune evasion within the TME and explores the potential of targeting this pathway to improve immunotherapy outcomes. Furthermore, it discusses the translational value of combination therapies based on YAP/TAZ inhibition, providing a theoretical framework and practical guidance for the development of innovative immunotherapeutic strategies and precision medicine approaches.
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Indexed as

Adaptor Proteins, Signal TransducingImmunotherapyNeoplasmsSignal TransductionTranscription FactorsAnimalsHumansTranscriptional Coactivator with PDZ-Binding Motif ProteinsTumor MicroenvironmentYAP-Signaling ProteinsAdaptor Proteins, Signal TransducingTranscriptional Coactivator with PDZ-Binding Motif ProteinsTranscription FactorsWWTR1 protein, humanYAP-Signaling ProteinsImmune evasionImmunotherapyTAZTumor microenvironmentYAP

Identifiers

PMID40210482
PMCPMC11986679

What OpenQuestion holds

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LicenceCC BY
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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.