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Updated: Apr 6, 2026
Implantation and Evaluation of Melanoma in the Murine Choroid via Optical Coherence Tomography
Published on: December 2, 2022
A Subset of Nuclear Receptors are Uniquely Expressed in Uveal Melanoma Cells
Kenneth Edward Huffman1, Ryan Carstens1, Elisabeth D Martinez2
1Hamon Center for Therapeutic Oncology Research , Dallas, TX , USA.
Abstract:
Uveal melanoma (UM) is recognized as the most common intraocular malignancy and the second most common form of melanoma. Nearly 50% of UM patients develop untreatable and fatal metastases. The 48-member nuclear receptor (NR) superfamily represents a therapeutically targetable group of transcription factors known for their regulation of key cancer pathways in numerous tumor types. Here, we profiled the expression of the 48 human NRs by qRT-PCR across a melanoma cell line panel including 5 UM lines, 9 cutaneous melanoma (CM) lines, and normal primary melanocytes. NR expression patterns identified a few key features. First, in agreement with our past studies identifying RXRg as a CM-specific marker, we found that UM cells also exhibit high levels of RXRg expression, making it a universal biomarker for melanoma tumors. Second, we found that LXRb is highly expressed in both UM and CM lines, suggesting that it may be a therapeutic target in a UM metastatic setting as it has been in CM models. Third, we found that RARg, PPARd, EAR2, RXRa, and TRa expressions could subdivide UM from CM. Previous studies of UM cancers identified key mutations in three genes: GNAQ, GNA11, and BRAF. We found unique NR expression profiles associated with each of these UM mutations. We then performed NR-to-NR and NR-to-genome expression correlation analyses to find potential NR-driven transcriptional programs activated in UM and CM. Specifically, RXRg controlled gene networks were identified that may drive melanoma-specific signaling and metabolism. ERRa was identified as a UM-defining NR and genes correlated with its expression confirm the role of ERRa in metabolic control. Given the plethora of available NR agonists, antagonists, and selective receptor modulators, pharmacologic manipulation of these NRs and their transcriptional outputs may lead to a more comprehensive understanding of key UM pathways and how we can leverage them for better therapeutic alternatives.
Insights
Nuclear receptors (NRs) are key in uveal melanoma (UM) and cutaneous melanoma (CM). RXRg is a universal melanoma biomarker, while others like LXRb and ERRa offer potential therapeutic targets for UM metastasis and metabolic control.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Uveal melanoma (UM) is the most common intraocular cancer and a significant cause of melanoma-related deaths due to metastasis.
- The nuclear receptor (NR) superfamily, comprising 48 transcription factors, regulates critical cancer pathways and presents therapeutic opportunities.
- Understanding NR expression in UM is crucial for developing targeted therapies.
Purpose of the Study:
- To profile the expression of all 48 human nuclear receptors (NRs) in uveal melanoma (UM) and cutaneous melanoma (CM) cell lines.
- To identify NR expression patterns that distinguish UM from CM and correlate with known UM mutations (GNAQ, GNA11, BRAF).
- To explore NR-driven gene networks and their potential as therapeutic targets in melanoma.
Main Methods:
- Quantitative reverse transcription PCR (qRT-PCR) was used to profile NR expression across 5 UM lines, 9 CM lines, and normal melanocytes.
- NR expression data was correlated with NR-to-NR and NR-to-genome expression to identify regulatory networks.
- Analysis focused on identifying NR biomarkers and potential therapeutic targets in UM.
Main Results:
- Retinoid X receptor gamma (RXRg) is highly expressed in both UM and CM, serving as a universal melanoma biomarker.
- Liver X receptor beta (LXRb) is highly expressed in both UM and CM, indicating its potential as a therapeutic target for UM metastasis.
- Specific NR expression profiles, including RARg, PPARd, EAR2, RXRa, and TRa, differentiated UM from CM. ERRa was identified as a UM-defining NR involved in metabolic control.
- NR expression patterns correlated with key UM mutations (GNAQ, GNA11, BRAF).
- RXRg-controlled gene networks potentially drive melanoma-specific signaling and metabolism.
Conclusions:
- NRs play a significant role in melanoma pathogenesis, with distinct expression profiles differentiating UM from CM.
- RXRg serves as a universal biomarker for melanoma, while LXRb and ERRa represent promising therapeutic targets for UM treatment and metastasis.
- Pharmacological targeting of NRs and their downstream pathways offers a promising avenue for developing novel UM therapies.
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