Role of a lipid metabolism-related lncRNA signature in risk stratification and immune microenvironment for colon cancer

• DOI: 10.1186/s12920-022-01369-8
• Publication Date: 2022-10-24T08:03:13Z
• Authors: Yaobin Lin; Yu Xiao; Shan Liu; Liang Hong; Lingdong Shao; Junxin Wu
• Keywords: Long non-coding RNAs; 0303 health sciences; Research; Programmed Cell Death 1 Receptor; QH426-470; Lipid Metabolism; Ligands; Prognosis; RC31-1245; Risk Assessment; B7-H1 Antigen; Colon cancer; 3. Good health; Gene Expression Regulation, Neoplastic; 03 medical and health sciences; Lipid metabolism; Tumor microenvironment; Colonic Neoplasms; Genetics; Biomarkers, Tumor; Tumor Microenvironment; Humans; RNA, Long Noncoding; Internal medicine

Abstract Background Energy metabolism disorder, especially lipid is an important biological characteristic of colon cancer. This research sought to examine the association between metabolism-related long non-coding RNAs (lncRNAs) and prognoses among cancer patients. Methods The transcriptome profile clinical data patients with were retrieved from Cancer Genome Atlas database. Using consensus clustering, cases divided into two clusters Kaplan–Meier analysis was executed analyze differences in their prognoses. gene set enrichment (GSEA) used discover processes signaling pathways. A lncRNA prognostic model (lipid metabolism-LncRM) created utilizing least absolute shrinkage selection operator (LASSO) regression. tumor microenvironment evaluated on basis composition immune stromal cells. Results Cluster 2 found have a better prognosis higher expression programmed cell death 1 (PD-1) ligand (PD-L1) relative 1. results GSEA showed energy pathways 2. LASSO regression identify five LncRNAs that shown be most substantially linked patient prognosis. These NSMCE1-DT, LINC02084, MYOSLID, LINC02428, MRPS9-AS1. Receiver operating (ROC) curves survival illustrated metabolism-LncRM had significant value. Further high- low-risk groups significantly different terms characteristics cells infiltration. Conclusions Lipid lncRNAs could predict might biomarkers relevant immunotherapy.