Modulating NF-κB Activity as a Therapeutic Strategy against Lymphoma with Analogs of Curcumin
Bibliographic record
Abstract
It is estimated that 2 in 5 Canadians will develop cancer in their lifetimes and 1 in 4 will die of this disease. Lymphoma is the fifth most common cancer in Canada and it has the fastest raising incident rate in young adults. Current cancer treatment includes chemotherapy, surgery and radiation. The majority of chemotherapeutics target DNA or tubulin, which is not selective against cancer cells. One possible target for lymphoma is the increased expression and activation of the nuclear transcription factor NF-κB. This protein causes the expression of cell cycle and cell survival genes. Curcumin is isolated from Tumeric root, which has already shown to target NF-κB and selectively induce apoptosis in cancer cells. Curcumin has a low bioavailability but this problem can be solved with a synthetic analog. Our objective is to determine if any of our ten Curcumin analogs have the anti-cancer activity. Two of these analogs that have shown anti-cancer activity and have been evaluated with the WST-1 metabolic assay and the Annexin V binding assay for apoptosis. Further illustration of the mechanism is needed. These compounds seem to target non-genomic metabolic targets and have a potential for non-toxic cancer treatment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".