已发表论文

LPCATs 的综合分析强调了 LPCAT1/4  在肝细胞癌中的预后和免疫学价值

 

Authors Lin T , Zhang E, Lin Z, Peng L 

Received 21 October 2021

Accepted for publication 18 November 2021

Published 30 November 2021 Volume 2021:14 Pages 9117—9130

DOI https://doi.org/10.2147/IJGM.S344723

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Scott Fraser

Background: The prognosis of patients with advanced hepatocellular carcinoma (HCC) remains poor. Lipid remodeling modulators are considered promising therapeutic targets of cancers, owing to their functions of facilitating cancer cells’ adaption to the limited environment. Lysophosphatidylcholine acyltransferases (LPCATs) are enzymes regulating bio-membrane remodeling, whose roles in HCC have not been fully illuminated.
Methods: Multiple bioinformatic tools were applied to comprehensively evaluate the expression, genetic alterations, clinical relevance, prognostic values, DNA methylation, biological functions, and correlations with immune infiltration of LPCATs in HCC.
Results: We found LPCAT1  was significantly overexpressed and the most frequently altered in HCC. The high-expression of LPCAT1/4  indicated clinicopathological advancements and poor prognoses of HCC patients. Even though the global DNA methylation of LPCATs in HCC showed no significant difference with that in normal liver, the hypermethylation of numerous CpG sites of them implied worse survivals of HCC patients. Thirty LPCATs’ interactive genes were identified, which were generally membrane components and partook in phospholipid metabolism pathways. Finally, we found the expression of LPCATs was extensively positively correlated with the infiltration of various stimulatory and suppressive tumor-infiltrating immune cells (TIICs) in the tumor microenvironment.
Conclusion: This study addressed LPCAT1/4 were potential prognostic and immunotherapeutic biomarkers of HCC targeting bio-membrane lipid remodeling.
Keywords: hepatocellular carcinoma, LPCATs, bioinformatics, biomarker, immune infiltration