Combined effects of vitamin D receptor agonists and histone deacetylase inhibition on vitamin D-resistant squamous carcinoma cells
Bibliographic record
Abstract
The active form of vitamin D, 1,25-dihydroxyvitamin D3 (1,25D), is a key calcium (Ca++) regulatory hormone. It is also associated with functions unrelated to Ca++ homeostasis. Here, special attention is paid towards the anticancer properties of 1,25D. 1,25D strongly inhibits the growth of well-differentiated head and neck squamous cell carcinoma (HNSCC) derived cell lines. However, advanced, less differentiated, HNSCC cell lines (e.g. SCC4) are partially resistant to 1,25D. Resistance to nuclear receptor (NR) agonists is a common event that occurs in other NR-related treatments. For example, some leukemias develop resistance to the usually effective retinoic acid (RA) treatment. However, treating RA-resistant cells with HDAC inhibitors (HDACi) sensitizes them to RA. Thus, this study aims to investigate how treatment with TSA, an HDACi, would affect the response of SCC4 cell lines to 1,25D. We found that TSA had a variety of effects on 1,25D-regulated gene expression. Combined treatment with 1,25D and TSA increased the expression of cell-cycle regulating proteins, but also enhanced the downregulation of key target genes. Given the potential of the 1,25D/HDACi combination in combating cancers, two chimeric compounds, each containing parts of 1,25D and an HDACi, were synthesized in collaboration with Dr. James Gleason (Dept. of Chemistry, McGill). These 1,25D analogs have the HDACi-like structure replacing the 1,25D side chain. Both compounds proved to be agonists of the vitamin D receptor. Moreover, the TSA-substituted compound, called triciferol, effectively induced a-tubulin as well as histones acetylation. This study underlines the potential of combining 1,25D and TSA in cancer treatment, and reveals that bi-functional 1,25D analogs can be produced with potentially enhanced therapeutic activity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".