L-Type Amino Acid Transporter 1 Regulates Cancer Stemness and the Expression of Programmed Cell Death 1 Ligand 1 in Lung Cancer Cells.
Yi-Heng LiuYu-Ling LiHuan-Ting ShenPeng-Ju ChienGwo-Tarng SheuBing-Yen WangWen-Wei ChangPublished in: International journal of molecular sciences (2021)
The l-type amino acid transporter 1 (LAT1) is a membranous transporter that transports neutral amino acids for cells and is dysregulated in various types of cancer. Here, we first observed increased LAT1 expression in pemetrexed-resistant non-small cell lung cancer (NSCLC) cells with high cancer stem cell (CSC) activity, and its mRNA expression level was associated with shorter overall survival in the lung adenocarcinoma dataset of the Cancer Genome Atlas database. The inhibition of LAT1 by a small molecule inhibitor, JPH203, or by RNA interference led to a significant reduction in tumorsphere formation and the downregulation of several cancer stemness genes in NSCLC cells through decreased AKT serine/threonine kinase (AKT)/mammalian target of rapamycin (mTOR) activation. The treatment of the cell-permeable leucine derivative promoted AKT/mTOR phosphorylation and reversed the inhibitory effect of JPH203 in the reduction of CSC activity in pemetrexed-resistant lung cancer cells. Furthermore, we observed that LAT1 silencing caused the downregulation of programmed cell death 1 ligand 1 (PD-L1) on lung cancer cells. The PD-L1+/LAT1+ subpopulation of NSCLC cells displayed great CSC activity with increased expression of several cancer stemness genes. These data suggest that LAT1 inhibitors can serve as anti-CSC agents and could be used in combination with immune checkpoint inhibitors in lung cancer therapy.
Keyphrases
- induced apoptosis
- papillary thyroid
- small cell lung cancer
- amino acid
- cell proliferation
- signaling pathway
- squamous cell
- small molecule
- cell cycle arrest
- poor prognosis
- stem cells
- advanced non small cell lung cancer
- epithelial mesenchymal transition
- emergency department
- endoplasmic reticulum stress
- oxidative stress
- single cell
- protein kinase
- squamous cell carcinoma
- drug delivery
- genome wide
- childhood cancer
- gene expression
- deep learning
- young adults
- epidermal growth factor receptor
- machine learning
- big data