The Overexpression of ABCG2 Reduces the Efficacy of Volasertib (BI 6727) and GSK641364 in Human S1-M1-80 Colon Carcinoma Cells
Bibliographic record
Abstract
The polo-like kinase 1 (Plk1) is one of the key regulators in cell cycle progression. Plk1 is overexpressed in many types of cancer and promotes the proliferation of cancer cells. Inhibition of Plk1 activity induces G2/M cell cycle arrest and reduces cancer cell viability. Volasertib and GSK461364 are selective inhibitors of Plk1, active against a wide range of tumor cells at nanomolar concentrations. In this study, while examining the effectiveness of Plk1 inhibitors against multiple human colon cancer cell lines, we discovered that the overexpression of ATP-binding cassette (ABC) drug transporter ABCG2 in human S1-M1-80 colon cancer cells confers resistance to volasertib and GSK461364. Moreover, we found that ABCG2-transfected HEK293 cells were also resistant to both Plk1 inhibitors. We revealed that volasertib and GSK461364 inhibited the function of ABCG2 in a concentration dependent manner, and had no significant effect on the protein expression of ABCG2. More importantly, we showed that the G2/M cell cycle arrest induced by volasertib or GSK461364 was significantly reduced in S1-M1-80 cells, and that ABCG2-mediated drug resistance to Plk1 inhibitors can be restored by inhibition of ABCG2 function. Therefore, the development of ABCG2-mediated drug resistance to volasertib and GSK461364 in cancer clearly present a significant therapeutic challenge, and a better treatment strategy should be further investigated.
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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 | 0.002 | 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 | 0.001 |
| 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".