Investigation of the cytotoxcity of novel jadomycins in drug resistant breast cancer cells
Bibliographic record
Abstract
The drug transporter ABCB1 plays a major role in drug resistance and chemotherapy failure in the treatment of breast cancer. Jadomycins are natural products synthesized by the bacteria S. venezuelae ISP5230 and inhibit the mitotic regulatory protein aurora‐B kinase. The object of our study was to investigate the cytotoxicity of jadomycins towards breast cancer cells. By MTT assay we found that Jadomycin B, DT and G were selectively toxic against MCF7 and T47D breast cancer cells compared to control human kidney (HK2) cells. Jadomycin B, DT and G did not activate ABCB1‐ATPase activity in isolated membrane preparations, suggesting that these molecules may evade the ABCB1 drug resistance transporter. In support of this, Jadomycin B and DT displayed similar cytotoxicity in MCF7 control and taxol resistant MCF7tx400 cells that overexpress ABCB1. Comparatively, MCF7tx400 cells were relatively resistant to the cytotoxic effects of the ABCB1 substrates taxol and etoposide. We conclude that Jadomycin B and DT possess effective chemotherapeutic action against both drug‐sensitive and ABCB1‐expressing drug‐resistant breast cancer cells in culture. This work was supported by the CBCF‐Atlantic chapter.
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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".