The Downregulation of LSAMP Expression Promotes Lung Cancer Progression and Is Associated with Poor Survival Prognosis.
Chao-Yuan ChangKuan-Li WuYung-Yun ChangYu-Wei LiuYung-Chi HuangShu-Fang JianYi-Shiuan LinPei-Hsun TsaiYu-Kang TuYing-Ming TsaiYa-Ling HsuPublished in: Journal of personalized medicine (2021)
Lung cancer has been a leading cause of cancer-related death for decades and therapeutic strategies for non-driver mutation lung cancer are still lacking. A novel approach for this type of lung cancer is an emergent requirement. Here we find that loss of LSAMP (Limbic System Associated Membrane Protein), compared to other IgLON family of proteins NTM (Neurotrimin) and OPCML (OPioid-binding Cell adhesion MoLecule), exhibits the strongest prognostic and therapeutic significance in predicting lung adenocarcinoma (LUAD) progression. Lower expression of LSAMP and NTM, but not OPCML, were found in tumor parts compared with normal parts in six LUAD patients, and this was validated by public datasets, Oncomine® and TCGA. The lower expression of LSAMP, but not NTM, was correlated to shorter overall survival. Two epigenetic regulations, including hypermethylation and miR-143-3p upregulation but not copy number variation, were associated with downregulation of LSAMP in LUAD patients. Pathway network analysis showed that NEGR1 (Neuronal Growth Regulator 1) was involved in the regulatory loop of LSAMP. The biologic functions by LSMAP knockdown in lung cancer cells revealed LSMAP was linked to cancer cell migration via epithelial-mesenchymal transition (EMT) but not proliferation nor stemness of LUAD. Our result showed for the first time that LSAMP acts as a potential tumor suppressor in regulating lung cancer. A further deep investigation into the role of LSAMP in lung cancer tumorigenesis would provide therapeutic hope for such affected patients.
Keyphrases
- epithelial mesenchymal transition
- end stage renal disease
- newly diagnosed
- chronic kidney disease
- ejection fraction
- copy number
- signaling pathway
- prognostic factors
- gene expression
- network analysis
- stem cells
- cell migration
- rheumatoid arthritis
- emergency department
- binding protein
- chronic pain
- genome wide
- climate change
- risk assessment