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402.4: The therapeutic potential of targeting nuclear receptor retinoic acid-related orphan receptor gamma in hepatocellular carcinoma.

2024· article· en· W4402798860 on OpenAlexaffabout
Sabrina Leo, Sarita Negi, Iqraa Dhoparee‐Doomah, Ahmed E. Fouda, Steven Paraskevas, Jonathan Cools‐Lartigue, Jean Tchervenkov

Bibliographic record

VenueTransplantation · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinoids in leukemia and cellular processes
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsHepatocellular carcinomaNuclear receptorRetinoic acid receptorCancer researchRetinoic acidOrphan receptorMedicineNeuron-derived orphan receptor 1ReceptorPharmacologyInternal medicineBiologyGeneticsTranscription factorGene

Abstract

fetched live from OpenAlex

Background: Hepatocellular carcinoma (HCC) primarily arises though inflammation-associated etiologic factors that lead to liver cirrhosis. Type 3 immunity which is characterized by cells that produce the pro-inflammatory IL-17A cytokine, which is modulated by the master transcriptional factor retinoid acid-related orphan receptor gamma (RORy), plays a significant role in acute and chronic allograft rejection. Moreover, over-expression of the cytokine and its transcription factor are implicated in inflammatory pathways that lead to metabolic syndrome, cirrhosis and the development of several cancers, including cirrhosis-induced HCC. Currently, liver transplantation is the most effective therapy for HCC. Advanced disease, however, is a contradiction due to the risk of recurrence. We therefore investigated whether RORy is expressed in human and mouse HCC cell lines, and if targeting the receptor affects HCC cell viability, proliferation, and colony formation. Methods: Human HCC cell line HuH-7 and mouse HCC cell lines Hepa1-6 and Hep-55.1c were used. RORy-targeting silencing RNA (siRORC) sequences were designed and a novel RORy inverse agonist (C#10) generated at the McGill University Health Center Research Institute were used to inhibit RORy activity. The assays used to test the effects of siRORC and C#10 inhibition in HCC cells include cell viability assays, colony formation assays, cell proliferation assays, RT-qPCR, immunofluorescence microscopy and western blot. Results: HCC cell lines HuH-7, Hepa1-6, and Hep-55.1c highly express nuclear receptor RORy. siRORC and C#10 reduced RORy expression in all 3 cell lines. Cell viability was decreased significantly in a dose dependent manner upon a 72 hour treatment with siRORC and inverse agonist C#10.Colony formation assays revealed a visible and statistically significant reduction in HCC cell growth with siRORC and increasing concentrations of C#10.In addition, cell proliferation rate is reduced with siRORC and reverse agonist C#10 treatment. Conclusion: Human and mouse HCC cells highly express RORy. Targeting RORy with siRORC or RORy inverse agonist C#10 suppressed cell viability, cell proliferation and colony formation of all three cell lines. This data suggests that RORy is a potential target for HCC and may have the dual benefit of preventing allograft rejection and HCC recurrence after liver transplantation. Avrith Liver Transplant Endowment Fund. MUHC-Foundation. MGH-Foundation Start Up Funds.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.214
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes2
Has abstractyes

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