The selenoenzyme type I iodothyronine deiodinase: a new tumor suppressor in ovarian cancer.
Adi AlfandariDotan MoskovichAvivit WeiszAviva KatzavDebora KidronMario BeinerDana JosephyAula AsaliYael HantsYael YagurOmer WeitznerMartin EllisGilad ItchakiOsnat Ashur-FabianPublished in: Molecular oncology (2024)
The selenoenzyme type I iodothyronine deiodinase (DIO1) catalyzes removal of iodine atoms from thyroid hormones. Although DIO1 action is reported to be disturbed in several malignancies, no work has been conducted in high-grade serous ovarian carcinoma (HGSOC), the most lethal gynecologic cancer. We studied DIO1 expression in HGSOC patients [The Cancer Genome Atlas (TCGA) data and tumor tissues], human cell lines (ES-2 and Kuramochi), normal Chinese hamster ovarian cells (CHO-K1), and normal human fallopian tube cells (FT282 and FT109). To study its functional role, DIO1 was overexpressed, inhibited [by propylthiouracil (PTU)], or knocked down (KD), and cell count, proliferation, apoptosis, cell viability, and proteomics analysis were performed. Lower DIO1 levels were observed in HGSOC compared to normal cells and tissues. TCGA analyses confirmed that low DIO1 mRNA expression correlated with worse survival and therapy resistance in patients. Silencing or inhibiting the enzyme led to enhanced ovarian cancer proliferation, while an opposite effect was shown following DIO1 ectopic expression. Proteomics analysis in DIO1-KD cells revealed global changes in proteins that facilitate tumor metabolism and progression. In conclusion, DIO1 expression and ovarian cancer progression are inversely correlated, highlighting a tumor suppressive role for this enzyme and its potential use as a biomarker in this disease.
Keyphrases
- cell cycle arrest
- induced apoptosis
- high grade
- end stage renal disease
- signaling pathway
- poor prognosis
- endoplasmic reticulum stress
- cell death
- chronic kidney disease
- newly diagnosed
- mass spectrometry
- gene expression
- single cell
- oxidative stress
- pi k akt
- squamous cell carcinoma
- magnetic resonance imaging
- peritoneal dialysis
- magnetic resonance
- binding protein
- cell therapy
- electronic health record
- induced pluripotent stem cells
- squamous cell
- lymph node metastasis
- artificial intelligence