Diindolilmethane (DIM) selectively inhibits cancer stem cells
Bibliographic record
Abstract
Epidemiologic studies repeatedly have shown chemopreventive effects of cruciferous vegetables. Indole-3-carbinol (I3C) and its metabolite diindolylmethane (DIM) were identified in these plants as active ingredients and theirs anti-tumor activities were confirmed in multiple in vitro and in vivo experiments. Here, we demonstrate that DIM is a selective and potent inhibitor of cancer stem cells (CSCs). In several cancer cell lines, DIM inhibited tumor sphere formation at the concentrations 30-300 times lower than concentrations required for growth inhibition of parental cells cultured as adherent culture. We also found that treatment with DIM overcomes chemoresistance of CSCs to cytotoxics, such as paclitaxel, doxorubicin, and SN-38. Pre-treatment of tumor spheres with DIM before implantation to mice significantly retarded the growth of primary tumors compared to tumors formed by untreated tumor spheres. The concentrations of DIM required to suppress CSCs formation are in the close range to those achievable in human plasma after oral dosing of the compound. Therefore, DIM can potentially be used in cancer patients, either alone, or in combinations with existing drugs.
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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) | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".