본문으로 건너뛰기
← 뒤로

Prognostic significance and regulatory role of ACOT7 in the tumor immune microenvironment of breast invasive ductal carcinoma: a multi-omics analysis.

Frontiers in immunology 2026 Vol.17() p. 1735908

Song C, Quan Y, Shan Y, Chen Y, Du J, Li K, Li N

📝 환자 설명용 한 줄

[BACKGROUND] Invasive Ductal Carcinoma (IDC), which is the most common histological subtype of breast cancer, is highly aggressive and progresses rapidly.

이 논문을 인용하기

BibTeX ↓ RIS ↓
APA Song C, Quan Y, et al. (2026). Prognostic significance and regulatory role of ACOT7 in the tumor immune microenvironment of breast invasive ductal carcinoma: a multi-omics analysis.. Frontiers in immunology, 17, 1735908. https://doi.org/10.3389/fimmu.2026.1735908
MLA Song C, et al.. "Prognostic significance and regulatory role of ACOT7 in the tumor immune microenvironment of breast invasive ductal carcinoma: a multi-omics analysis.." Frontiers in immunology, vol. 17, 2026, pp. 1735908.
PMID 41822488

Abstract

[BACKGROUND] Invasive Ductal Carcinoma (IDC), which is the most common histological subtype of breast cancer, is highly aggressive and progresses rapidly. Acyl-CoA thioesterase 7 (ACOT7) is a key regulator of cell survival, the cell cycle, and lipid and glucose metabolism. However, the mechanism of ACOT7 in IDC is still unclear. Our study aims to investigate the clinical significance of ACOT7 in IDC.

[METHODS] A comparative analysis of ACOT7 expression in IDC and matched normal tissues was performed using the limma R package on datasets from GEO and TCGA. Prognostic evaluation was conducted using Kaplan-Meier survival curves from the Kaplan-Meier plotter. Furthermore, a protein-protein interaction (PPI) network of ACOT7 was constructed by GeneMANIA, and the correlation between ACOT7 expression and the level of tumor immune infiltration was explored via the TIMER database. In order to further analyze the biological functions of ACOT7, we performed Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and Gene Set Enrichment Analysis (GSEA) using the clusterProfiler package. To validate this, we profiled ACOT7 mRNA expression across clinical samples (tumor and adjacent normal) and models (cell lines) via Real-Time quantitative Polymerase Chain Reaction (RT-qPCR).

[RESULTS] Bioinformatic analysis of public databases revealed that ACOT7 mRNA expression was significantly upregulated in IDC patients compared to normal tissues. Elevated ACOT7 expression was associated with poorer overall survival, a finding further validated in cell lines and clinical tissue samples. Furthermore, ACOT7 transcriptional levels showed a significant correlation with the degree of tumor immune infiltration. Functional enrichment analysis indicated that ACOT7 is primarily involved in cancer-related regulation, autoimmune diseases, and multiple metabolic pathways.

[CONCLUSION] Our study indicates that elevated ACOT7 expression is a significant marker of adverse clinical outcomes. This effect it likely mediated through the remodeling of the tumor immune microenvironment and the reprogramming of metabolic pathways, which collectively fuel the malignant procession of IDC. These results provide a solid theoretical foundation for targeting ACOT7 as both a prognostic biomarker and a potential therapeutic target in IDC.

MeSH Terms

Humans; Tumor Microenvironment; Female; Breast Neoplasms; Prognosis; Carcinoma, Ductal, Breast; Gene Expression Regulation, Neoplastic; Biomarkers, Tumor; Protein Interaction Maps; Thiolester Hydrolases; Computational Biology; Gene Expression Profiling; Kaplan-Meier Estimate; Multiomics

같은 제1저자의 인용 많은 논문 (5)