ACAT2 may be a novel predictive biomarker and treated target in lung
adenocarcinoma
Abstract
Background: Acyl-coenzyme A cholesterol acyltransferase (ACAT) is a
membrane-binding enzyme, which localizes in the endoplasmic reticulum.
ACAT2 can promote the progression of colon cancer, but its efficacy in
lung adenocarcinoma(LUAD) is still not sure. Method: ACAT2 expression
analysis was performed by TIMER2.0 database. GEPIA database was utilized
to analyse co-relations between expression of ACAT2 and pathological
stage of tumor. Kaplan-Meier analysis was analyzed its potential in
clinical prognosis. CancerSEA database analysed correlations between
expression of ACAT2 and functional status of different tumor displayed
as a heatmap. The molecule interaction network analysis performed by the
STRING tool. Results: ACAT2 was upregulated in patients with LUAD, and
high expression of ACAT2 had a poor DFS and OS. Cox regression analysis
indicated that the poor outcomes might be related to the tumour stage,
nodal stage, distant metastatic stage. ACAT2 participated in biological
process of cell cycle, DNA repair, DNA damage, proliferation. Enrichment
pathway analysis showed four ACAT2-correlated genes, ACOX1, EHHADH,
OXCT1, DLAT. Conclusion: ACAT2 might be a novel predictive biomarker and
treated target.