Evidence map›Paper›PMID 39460738›Full record

ArticleCancer biology & therapy2024

DLAT promotes triple-negative breast cancer progression via YAP1 activation.

Diya Liu, Xuehui Wang, Fengyuan Qian, Danrong Ye, Xiaochong Deng, Lin Fang

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Article in Cancer biology & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Diya LiuDepartment of Thyroid and Breast Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.ORCID 0000-0002-4909-6897
Xuehui WangDepartment of Thyroid and Breast Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Fengyuan QianDepartment of Thyroid and Breast Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Danrong YeDepartment of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Xiaochong DengDepartment of Breast Surgery, Guizhou Provincial People's Hospital, Guiyang, China.
Lin FangDepartment of Thyroid and Breast Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.ORCID 0000-0003-2418-3617

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer (BC) is the most prevalent malignant tumor in women globally. Triple-negative breast cancer (TNBC) represents the most malignant and invasive subtype of BC. New therapeutic targets are urgently needed for TNBC owing to its receptor expression characteristics, which render it insensitive to traditional targeted and endocrine therapies for BC. The role and mechanisms of dihydrolipoamide S-acetyltransferase (DLAT) as a crucial molecule in glycometabolism and cuproptosis-related biological processes in tumors remain to be explored.

methodsDLAT expression was investigated using bioinformatics methods and quantitative real-time polymerase chain reaction. Subsequently, the MTT assay, colony formation assay, and migration-invasion assay were performed to validate the effect of DLAT on TNBC cell viability, proliferation, and migration. Cytoplasmic-nuclear separation experiments, western blot analysis, and co-immunoprecipitation assays were performed to elucidate the underlying molecular mechanisms.

resultsThis study revealed a robust correlation between elevated DLAT expression in BC and unfavorable prognosis in patients, with higher expression of DLAT compared to other subtypes in TNBC. Functional cytology experiments indicated that DLAT plays a tumor-promoting role in TNBC. Mechanistic studies showed that DLAT directly interacts with YAP1, leading to the dephosphorylation and activation of YAP1 and its increased nuclear translocation, thereby transcriptionally activating and regulating downstream oncogenes, promoting the malignant phenotype of TNBC. Rescue experiments indicated that DLAT promotes the malignant behavior of TNBC through a YAP1-dependent pathway.

conclusionsOur research unveiled the significant involvement of DLAT in TNBC, along with the potential for modulating DLAT/YAP1 activity as a targeted treatment strategy for TNBC.

Indexed as

Adaptor Proteins, Signal TransducingTranscription FactorsTriple Negative Breast NeoplasmsYAP-Signaling ProteinsAcetyltransferasesAnimalsCell Line, TumorCell MovementCell ProliferationDisease ProgressionFemaleGene Expression Regulation, NeoplasticHumansMicePrognosisAcetyltransferasesAdaptor Proteins, Signal TransducingTranscription FactorsYAP1 protein, humanYAP-Signaling ProteinsBreast cancerDLATtriple-negative breast cancertumor progressionYAP1

Identifiers

PMID39460738
PMCPMC11520541

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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.