Evidence map›Paper›PMID 41158242›Full record

ArticleTranslational cancer research2025

Pan-cancer evaluation of ABAT as an emerging biomarker and its implication in lung adenocarcinoma.

Wei Du, Bing-Yu Zhang, Xiao-Wei Wu, Yi-Zhe Gao, Xue Yi

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

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1citing 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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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wei DuDepartment of Basic Medicine, Xiamen Medical College, Xiamen, China.
Bing-Yu ZhangDepartment of Basic Medicine, Xiamen Medical College, Xiamen, China.
Xiao-Wei WuDepartment of Basic Medicine, Xiamen Medical College, Xiamen, China.
Yi-Zhe GaoDepartment of Cardiothoracic Surgery, Second Affiliated Hospital of Xiamen Medical College, Xiamen, China.
Xue YiDepartment of Basic Medicine, Xiamen Medical College, Xiamen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: 4-aminobutyric acid aminotransferase (ABAT) is a pivotal enzyme for mitochondrial metabolism and central nervous system homeostasis, with known links to neurotransmitter regulation and mental illnesses. However, its role in cancer remains understudied. This study aims to comprehensively evaluate ABAT's pan-cancer landscape-including gene expression, diagnostic-prognostic value, epigenetic modifications, immune infiltration, and drug sensitivity-and validate its functional role in lung adenocarcinoma (LUAD). Methods: Using multi-omics data from TCGA (The Cancer Genome Atlas), HPA (Human Protein Atlas), UALCAN (University of Alabama at Birmingham Library Cancer Analysis Portal), TIMER2.0 (Tumor IMmune Estimation Resource 2.0), and other databases, we conducted bioinformatics analyses to characterize ABAT across 33 cancer types. In vitro validation involved quantitative real-time polymerase chain reaction (qRT-PCR) and transwell assays to assess ABAT expression, migration, and invasion in LUAD tissues and cell lines. Results: ABAT was significantly underexpressed in 11 cancers [e.g., kidney renal clear cell carcinoma (KIRC), kidney renal papillary cell carcinoma (KIRP), liver hepatocellular carcinoma (LIHC), LUAD] and overexpressed in [breast invasive carcinoma (BRCA)/pheochromocytoma/paraganglioma (PCPG)], with expression correlating with tumor staging (e.g., stage III LUAD). It exhibited high diagnostic accuracy [area under curve (AUC) >0.8] in 5 cancers [cholangiocarcinoma (CHOL), kidney chromophobe carcinoma (KICH)] and predicted poor prognosis in KIRC, LUAD, etc. Promoter hypermethylation negatively correlated with ABAT expression in most cancers. ABAT associated with CD8 Conclusions: ABAT shows expression heterogeneity in pan-cancer, linking to diagnosis, prognosis, immune microenvironment, and drug response. Its tumor-suppressive role in LUAD highlights ABAT as a potential biomarker and therapeutic target for precision oncology, warranting further clinical validation.

Indexed as

4-aminobutyric acid aminotransferase (ABAT)biomarkersimmune infiltrationlung adenocarcinoma (LUAD)pan-cancer analysis

Identifiers

PMID41158242
PMCPMC12554498

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