PSPH promotes melanoma growth and metastasis by metabolic deregulation-mediated transcriptional activation of NR4A1.
Vipin RawatParmanand MalviDeborah Della MannaEddy Shih-Hsin YangSuresh BugideXuchen ZhangRomi GuptaNarendra WajapeyeePublished in: Oncogene (2021)
Metabolic deregulation, a hallmark of cancer, fuels cancer cell growth and metastasis. Here, we show that phosphoserine phosphatase (PSPH), an enzyme of the serine metabolism pathway, is upregulated in patient-derived melanoma samples. PSPH knockdown using short hairpin RNAs (shRNAs) blocks melanoma tumor growth and metastasis in both cell culture and mice. To elucidate the mechanism underlying PSPH action, we evaluated PSPH shRNA-expressing melanoma cells using global metabolomics and targeted mRNA expression profiling. Metabolomics analysis showed an increase in 2-hydroxyglutarate (2-HG) levels in PSPH knockdown cells. 2-HG inhibits the TET family of DNA demethylases and the Jumonji family of histone demethylases (KDM and JMJD), which is known to impact gene expression. Consistent with these data, PSPH knockdown in melanoma cells showed reduced DNA 5-hydroxymethylcytosine (5hmC) and increased histone H3K4me3 modifications. 2-HG treatment also inhibited melanoma growth. The nCounter PanCancer Pathways Panel-based mRNA expression profiling revealed attenuation of a number of cancer-promoting pathways upon PSPH knockdown. In particular, PSPH was necessary for nuclear receptor NR4A1 expression. Ectopic NR4A1 expression partly rescued the growth of melanoma cells expressing PSPH shRNA. Collectively, these results link PSPH to the facilitation of melanoma growth and metastasis through suppression of 2-HG and thus activation of pro-oncogenic gene expression.
Keyphrases
- gene expression
- dna methylation
- poor prognosis
- skin cancer
- binding protein
- mass spectrometry
- papillary thyroid
- fluorescent probe
- genome wide
- type diabetes
- circulating tumor
- transcription factor
- living cells
- induced apoptosis
- skeletal muscle
- oxidative stress
- adipose tissue
- deep learning
- squamous cell carcinoma
- endoplasmic reticulum stress
- basal cell carcinoma
- big data
- artificial intelligence
- childhood cancer
- smoking cessation
- nucleic acid