Sensitization of ara‐C‐resistant lymphoma cells by a pronucleotide analogue
Bibliographic record
Abstract
Adequate intracellular concentrations of ara-CMP, the monophosphorylated derivative of ara-C, are essential for its cytotoxicity. The critical step for ara-CMP formation is intracellular phosphorylation of ara-C by deoxycytidine kinase (dCK). A common nucleoside resistance mechanism is mutation affecting the expression or the specificity of dCK. We describe the ability of a tert-butyl S-acyl-thioethyl (SATE) derivative of ara-CMP (UA911) to circumvent ara-C resistance in a dCK-deficient human follicular lymphoma cell line (RL-G). The RL-G cell line was produced by continuous exposure to gemcitabine and displayed low dCK mRNA and protein expression that conferred resistance both to ara-C (2,250-fold) and to gemcitabine (2,092-fold). RL-G cells were able to take up the UA911 pronucleotide by diffusion and metabolize it to the corresponding ara-CMP and ara-CTP nucleotides, exhibiting a 199-fold reduction in resistance ratios, and a similar cell cycle arrest to the parental RL-7 cells. Exposures to 10, 50 or 100 microM concentrations of UA911 produced 160 +/- 7, 269 +/- 8 and 318 +/- 62 pmol ara-CTP/mg protein in RL-7 cells, and 100 +/- 12, 168 +/- 10 and 217 +/- 39 pmol ara-CTP/mg protein in RL-G cells, respectively. Exposure of RL-G cells to underivatized, radiolabeled ara-C produced no detectable amounts of the active triphosphate metabolites. We conclude that the UA911 pronucleotide is capable of overcoming dCK-mediated resistance. This result can be attributed to the unique cellular metabolism of the SATE pronucleotides giving rise to the intracellular delivery of ara-CMP to dCK-deficient cells.
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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 | 0.001 |
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".