Evidence map›Paper›PMID 40539054›Full record

ArticleFrontiers in immunology2025

Dissecting the multi-omics landscape of TEAD1 in hepatocellular carcinoma: cycle regulation and metastatic potential.

Ruiping Huai, Canquan Mao, Lili Xiong

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. 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.

Ruiping HuaiSouthwest Jiaotong University, School of Chemistry, Chengdu, China.
Canquan MaoSouthwest Jiaotong University, School of Life Science and Engineering, Chengdu, China.
Lili XiongSouthwest Jiaotong University, School of Chemistry, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The effects exerted by the TEA domain transcription factor family genes on tumorigenesis in various cancers have been extensively investigated. Nevertheless, the potential role of TEAD1 in cancer-related epigenetic alterations, immunological characteristics, and prognosis remains ambiguous. This study aims to clarify the function and potential mechanisms of action of TEAD1 in cancer. Methods: We assessed pan-cancer expression, methylation, and mutation profiles of TEAD1 to determine its prognostic significance in clinical settings. Furthermore, we analyzed the pan-cancer immunological landscape of TEAD1, with a particular focus on liver hepatocellular carcinoma (LIHC), using correlation analysis. We also performed a subtype-specific analysis of TEAD1 in LIHC to identify its expression patterns, immunological traits, and constructed a prognostic model based on disulfidptosis-related genes. Lastly, we assessed the impact of TEAD1 knockdown on LIHC cell lines HepG2 and Huh-7 by using Results: Our findings suggest that TEAD1 is differentially expressed across various cancer types and can act as an independent prognostic factor for multiple cancers. Moreover, we observed that epigenetic changes involving TEAD1 are highly heterogeneous among several cancers; abnormal methylation and copy number variations were associated with a poor prognosis in multiple malignancies, especially in LIHC. Immunoassays demonstrated a significant association between TEAD1 and numerous immune checkpoints in LIHC. Additionally, cellular experiments revealed that knocking down TEAD1 reduced the proliferation, migration, and invasion capabilities of LIHC cells. Conclusions: The results of this study imply that TEAD1 may serve as a promising prognostic biomarker for tumors and an immunotherapy target, while playing a crucial role in the proliferation, migration, and invasion processes within LIHC.

Indexed as

Carcinoma, HepatocellularDNA-Binding ProteinsLiver NeoplasmsNuclear ProteinsTranscription FactorsBiomarkers, TumorCell Line, TumorCell ProliferationDNA Copy Number VariationsDNA MethylationEpigenesis, GeneticGene Expression Regulation, NeoplasticHep G2 CellsHumansMultiomicsMutationBiomarkers, TumorDNA-Binding ProteinsNuclear ProteinsTEAD1 protein, humanTEA Domain Transcription FactorsTranscription Factorsbiomarkercell cycleEMTLIHCsingle-cellTEAD1

Identifiers

PMID40539054
PMCPMC12177558

What Socratic holds

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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.