Characterization of the typical multidrug resistance profile in human uveal melanoma cell lines and in mouse liver metastasis derivatives
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Uveal melanoma is the most common intraocular malignancy. To study its biology, stable cell lines provide a useful tool, but these are very difficult to obtain. A stable and rapidly growing human choroidal melanoma cell line composed of pure epithelioid cells was established and maintained for at least 4 years. In vivo transplantation into BALB/cByJ nude mice induced vascularized tumours at the injection sites. Interestingly, two of three cases produced a liver metastasis. Other uveal melanoma cell lines displaying different morphological aspects were also obtained. To avoid the bias due to uncertain immunologically based staining approaches, several methods were juxtaposed to establish the multidrug resistance (MDR) profile. All the uveal melanomas studied expressed significant levels of the MDR-related MDR1, MRP1 (MDR-related protein 1) and LRP/MVP (lung resistance protein/major vault protein) messenger RNAs (mRNAs), produced their corresponding proteins and were able to functionally extrude daunomycin. When compared with the established MEWO skin melanoma cell line, our data showed that both primary and metastatic uveal melanomas intrinsically expressed the typical MDR phenotype, which precludes the use of any anticancer drugs known to be substrates of MDR-related proteins to treat the disease. Moreover, it appears that the metastasizing process does not change the status of the MDR phenotype.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 it