Fat mass and obesity-associated protein (FTO) mediated m 6 A modification of circFAM192A promoted gastric cancer proliferation by suppressing SLC7A5 decay.
Xi WuYuan FangYunru GuHaoyang ShenYangyue XuTingting XuRun ShiDuo XuJingxin ZhangKai LengYongqian ShuPei MaPublished in: Molecular biomedicine (2024)
Gastric cancer (GC) is a common malignant tumor worldwide, especially in East Asia, with high incidence and mortality rate. Epigenetic modifications have been reported to participate in the progression of gastric cancer, among which m 6 A is the most abundant and important chemical modification in RNAs. Fat mass and obesity-associated protein (FTO) is the first identified RNA demethylase but little is known about its role in gastric cancer. In our study, data from TCGA and clinical samples showed that FTO was highly expressed in gastric cancer tissues. Kaplan-Meier plotter suggested that patients with the high level of FTO had a poor prognosis. In vitro and in vivo experiments confirmed the role of FTO in promoting gastric cancer cell proliferation. Mechanistically, we found that FTO bound to circFAM192A at the specific site and removed the m 6 A modification in circFAM192A, protecting it from degradation. CircFAM192A subsequently interacted with the leucine transporter solute carrier family 7 member 5 (SLC7A5) and enhancing its stability. As a result, an increased amount of SLC7A5 was on the membrane, which facilitated leucine uptake and activated the mTOR signaling pathway. Therefore, our study demonstrated that FTO promoted gastric cancer proliferation through the circFAM192A/SLC7A5 axis in the m 6 A-dependent manner. Our study shed new light on the role of FTO in gastric cancer progression.
Keyphrases
- signaling pathway
- poor prognosis
- cell proliferation
- metabolic syndrome
- gene expression
- insulin resistance
- risk factors
- long non coding rna
- cardiovascular disease
- weight gain
- physical activity
- body mass index
- electronic health record
- skeletal muscle
- fatty acid
- artificial intelligence
- endoplasmic reticulum stress
- data analysis