Human papillomavirus type 16-immortalized endocervical cells selected for resistance to cisplatin are malignantly transformed and have a multidrug resistance phenotype
Bibliographic record
Abstract
Cis-diamminedichloroplatinum (II) (cisplatin, CDDP) is a highly effective chemotherapeutic agent against cervical cancer, but drug resistance is a major obstacle in its clinical application. The mechanism of drug resistance in human cervical cancer is not well understood. Here, we established an in vitro endocervical, cisplatin-resistant cell system that mimics the development of cisplatin resistance in the human cervix. Human papillomavirus (HPV) type 16-immortalized human endocervical cells (HEN-16-2) were treated with cisplatin, and the cisplatin-selected cells (HEN-16-2/CDDP) were resistant to cisplatin, paclitaxel, actinomycin D, doxorubicin, etoposide, and 5-fluorouracil, thus demonstrating a multidrug resistance (MDR) phenotype. Furthermore, compared with a similar passage of drug-sensitive HEN-16-2 cells, HEN-16-2/CDDP cells exhibited the general growth characteristics of cancer cell lines: faster growth in medium containing serum and high calcium levels, higher saturation density, anchorage-independent growth, and formation of tumors in nude mice. These results provided the first in vitro evidence that cisplatin selection can transform HPV-immortalized endocervical cells and cause a phenotype of MDR.
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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) | 0.002 | 0.001 |
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".