Research Paper Volume 15, Issue 19 pp 10322—10346

Analysis and experimental validation of fatty acid metabolism-related genes prostacyclin synthase (PTGIS) in endometrial cancer

Bo Wang1, , Shuwen Ge1, , Zihao Wang1, , Wantong Wang1, , Yuting Wang1, , Hongrui Leng1, , Xiaoxin Ma1, ,

  • 1 Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110000, Liaoning, People’s Republic of China

Received: July 11, 2023       Accepted: September 9, 2023       Published: October 4, 2023
How to Cite

Copyright: © 2023 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


The deregulation of fatty acid metabolism plays a pivotal role in cancer. Our objective is to construct a prognostic model for patients with endometrial carcinoma (EC) based on genes related to fatty acid metabolism-related genes (FAMGs). RNA sequencing and clinical data for EC were obtained from The Cancer Genome Atlas (TCGA). Lasso-Penalized Cox regression was employed to derive the risk formula for the model, the score = esum(corresponding coefficient × each gene’s expression). Gene set enrichment analysis (GSEA) was utilized to examine the enrichment of KEGG and GO pathways within this model. Correlation analysis of immune function was conducted using Single-sample GSEA (ssGSEA). The “ESTIMATE” package in R was utilized to evaluate the tumor microenvironment. The support vector machine recursive feature elimination (SVM-RFE) and randomforest maps were employed to identify key genes. The effects of PTGIS on the malignant biological behavior of EC were assessed through CCK-8 assay, transwell invasion assay, cell cycle analysis, apoptosis assay, and tumor xenografts in nude mice. A novel prognostic signature comprising 10 FAMGs (INMT, ACACB, ACOT4, ACOXL, CYP4F3, FAAH, GPX1, HPGDS, PON3, PTGIS) was developed. This risk score serves as an independent prognostic marker validated for EC. According to ssGSEA analysis, the low- and high-risk groups exhibited distinct immune enrichments. The key gene PTGIS was screened by SVM-RFE and randomforest method. Furthermore, we validated the expression of PTGIS through qRT-PCR. In vitro and in vivo experiments also confirmed the effect of PTGIS on the malignant biological behavior of EC.


EC: endometrial cancer; UCEC: uterine corpus endometrial cancer; FAMGs: fatty acid metabolism-related genes; DEFAMGs: differentially expressed fatty acid metabolism-related genes; TCGA: The Cancer Genome Atlas; TME: the tumor microenvironment; CSCs: Cancer stem cells; LASSO: Least absolute shrinkage and selection operator; KM: Kaplan-Meier; ROC: receiver operating characteristic; AUCs: areas under the ROC curves; ssGSEA: Single-sample Gene Set Enrichment Analysis; RNAss: RNA stemness scores; DNAss: DNA stemness scores; qRT-PCR: quantitative real-time PCR; mRNA: messenger RNA; OS: overall survival; GO: Gene Ontology; KEGG: Kyoto Encyclopedia of Genes and Genomes; PTGIS: prostacyclin synthase.