PMID- 38021786 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20231201 IS - 2168-8184 (Print) IS - 2168-8184 (Electronic) IS - 2168-8184 (Linking) VI - 15 IP - 10 DP - 2023 Oct TI - An Exosome-Related Long Non-coding RNA (lncRNA)-Based Signature for Prognosis and Therapeutic Interventions in Lung Adenocarcinoma. PG - e47574 LID - 10.7759/cureus.47574 [doi] LID - e47574 AB - Background The poor prognosis of lung adenocarcinoma (LUAD) has been confirmed by a large number of studies, so it is necessary to construct a prognosis model. In addition, exosome is closely related to tumors, but there are few studies on exosome-related long non-coding RNA (lncRNA) (ExolncRNA). Methods In this study, we designed a prognostic model, exosome-related lncRNA-based signature (ExoLncSig), using ExolncRNA expression profiles of LUAD patients from The Cancer Genome Atlas (TCGA). ExolncRNAs were identified through univariate and multivariate and Lasso analyses. Subsequently, based on the ExoLncSig, gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, immune function and immunotherapy analysis, drug screening, and so on were performed. Results AC026355.2, AC108136.1, AL590428.1, and LINC01312 were examined to establish the ExoLncSig. Gene enrichment analysis identified potential prognostic markers and therapeutic targets, including human leukocyte antigen (HLA), parainflammation, chemokine receptor (CCR), antigen-presenting cell (APC) co-inhibition, cancer-associated fibroblast (CAF), and myeloid-derived suppressor cell (MDSC). Moreover, we ascertained that the high-risk subgroup exhibits heightened susceptibility to pharmaceutical agents. Conclusion Our findings indicate that ExoLncSig holds promise as a valuable prognostic marker in LUAD. Furthermore, the immunogenic properties of ExolncRNAs may pave the way for the development of a therapeutic vaccine against LUAD. CI - Copyright (c) 2023, Li et al. FAU - Li, Jinghong AU - Li J AD - Computational Oncology Laboratory, Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, CHN. FAU - Wang, Junhua AU - Wang J AD - Oncology Department, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, CHN. FAU - Chen, Zhihong AU - Chen Z AD - Computational Oncology Laboratory, Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, CHN. FAU - Hu, Pan AU - Hu P AD - Computational Oncology Laboratory, Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, CHN. FAU - Zhang, Xiaodan AU - Zhang X AD - Computational Oncology Laboratory, Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, CHN. FAU - Guo, Xiaojun AU - Guo X AD - Computational Oncology Laboratory, Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, CHN. FAU - Zhu, Xiao AU - Zhu X AD - Genetics Department, Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, CHN. FAU - Huang, Yongmei AU - Huang Y AD - Computational Oncology Laboratory, Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, CHN. LA - eng PT - Journal Article DEP - 20231024 PL - United States TA - Cureus JT - Cureus JID - 101596737 PMC - PMC10666655 OTO - NOTNLM OT - drug therapy OT - exosome-related lncrna OT - lung adenocarcinoma OT - prognostic model OT - tumor microenvironment COIS- The authors have declared that no competing interests exist. EDAT- 2023/11/29 18:42 MHDA- 2023/11/29 18:43 PMCR- 2023/10/24 CRDT- 2023/11/29 15:12 PHST- 2023/10/24 00:00 [accepted] PHST- 2023/11/29 18:43 [medline] PHST- 2023/11/29 18:42 [pubmed] PHST- 2023/11/29 15:12 [entrez] PHST- 2023/10/24 00:00 [pmc-release] AID - 10.7759/cureus.47574 [doi] PST - epublish SO - Cureus. 2023 Oct 24;15(10):e47574. doi: 10.7759/cureus.47574. eCollection 2023 Oct.