Androgen Receptor Activation Induces Senescence in Thyroid Cancer Cells.
Anvita GuptaMichelle CarnazzaMelanie E JonesZbigniew DarzynkiewiczDorota HalickaTimmy O'ConnellHong ZhaoSina DadafarinEdward ShinMonica D SchwarczAugustine MoscatelloRaj K TiwariJan GeliebterPublished in: Cancers (2023)
Thyroid cancer (TC) is the most common endocrine malignancy, with an approximately three-fold higher incidence in women. TCGA data indicate that androgen receptor (AR) RNA is significantly downregulated in PTC. In this study, AR-expressing 8505C (anaplastic TC) (84E7) and K1 (papillary TC) cells experienced an 80% decrease in proliferation over 6 days of exposure to physiological levels of 5α-dihydrotestosterone (DHT). In 84E7, continuous AR activation resulted in G1 growth arrest, accompanied by a flattened, vacuolized cell morphology, with enlargement of the cell and the nuclear area, which is indicative of senescence; this was substantiated by an increase in senescence-associated β-galactosidase activity, total RNA and protein content, and reactive oxygen species. Additionally, the expression of tumor suppressor proteins p16, p21, and p27 was significantly increased. A non-inflammatory senescence-associated secretory profile was induced, significantly decreasing inflammatory cytokines and chemokines such as IL-6, IL-8, TNF, RANTES, and MCP-1; this is consistent with the lower incidence of thyroid inflammation and cancer in men. Migration increased six-fold, which is consistent with the clinical observation of increased lymph node metastasis in men. Proteolytic invasion potential was not significantly altered, which is consistent with unchanged MMP/TIMP expression. Our studies provide evidence that the induction of senescence is a novel function of AR activation in thyroid cancer cells, and may underlie the protective role of AR activation in the decreased incidence of TC in men.
Keyphrases
- dna damage
- endothelial cells
- lymph node metastasis
- induced apoptosis
- papillary thyroid
- stress induced
- oxidative stress
- risk factors
- poor prognosis
- cell cycle arrest
- reactive oxygen species
- single cell
- high glucose
- endoplasmic reticulum stress
- middle aged
- squamous cell carcinoma
- type diabetes
- cell therapy
- machine learning
- young adults
- stem cells
- metabolic syndrome
- signaling pathway
- cell migration
- diabetic rats
- deep learning
- skeletal muscle
- polycystic ovary syndrome
- pi k akt
- big data
- long non coding rna
- binding protein
- cell death
- pregnancy outcomes
- mesenchymal stem cells