Estrogen-related receptor alpha promotes thyroid tumor cell survival via a tumor subtype-specific regulation of target gene networks.
Wenjing ChenYoung Shin SongHan Sai LeeChien-Wei LinJunguee LeeYea Eun KangSeon-Kyu KimSeon-Young KimYoung Joo ParkJong-In ParkPublished in: Oncogene (2024)
Mortalin (encoded by HSPA9) is a mitochondrial chaperone often overexpressed in cancer through as-yet-unknown mechanisms. By searching different RNA-sequencing datasets, we found that ESRRA is a transcription factor highly correlated with HSPA9 in thyroid cancer, especially in follicular, but not C cell-originated, tumors. Consistent with this correlation, ESRRA depletion decreased mortalin expression only in follicular thyroid tumor cells. Further, ESRRA expression and activity were relatively high in thyroid tumors with oncocytic characteristics, wherein ESRRA and mortalin exhibited relatively high functional overlap. Mechanistically, ESRRA directly regulated HSPA9 transcription through a novel ESRRA-responsive element located upstream of the HSPA9 promoter. Physiologically, ESRRA depletion suppressed thyroid tumor cell survival via caspase-dependent apoptosis, which ectopic mortalin expression substantially abrogated. ESRRA depletion also effectively suppressed tumor growth and mortalin expression in the xenografts of oncocytic or ESRRA-overexpressing human thyroid tumor cells in mice. Notably, our Bioinformatics analyses of patient data revealed two ESRRA target gene clusters that contrast oncocytic-like and anaplastic features of follicular thyroid tumors. These findings suggest that ESRRA is a tumor-specific regulator of mortalin expression, the ESRRA-mortalin axis has higher significance in tumors with oncocytic characteristics, and ESRRA target gene networks can refine molecular classification of thyroid cancer.
Keyphrases
- poor prognosis
- transcription factor
- heat shock protein
- single cell
- oxidative stress
- endothelial cells
- genome wide
- long non coding rna
- cell death
- machine learning
- case report
- magnetic resonance imaging
- deep learning
- squamous cell carcinoma
- young adults
- drug delivery
- endoplasmic reticulum stress
- signaling pathway
- big data
- cancer therapy
- stem cells
- mesenchymal stem cells
- dna binding
- contrast enhanced
- single molecule