Cytotoxicity of 2‐chlorodeoxyadenosine and arabinosylcytosine in leukaemic lymphoblasts from paediatric patients: significance of cellular nucleoside transporter content
Bibliographic record
Abstract
2-chlorodeoxyadenosine (2-CdA) and arabinosylcytosine (araC) are nucleoside drugs that are used to treat various leukaemias, although 2-CdA has not been tested extensively in children with acute lymphoblastic leukaemia (ALL). Nucleoside cytotoxicity depends on the conversion of these agents to 5'-phosphate derivatives, following drug entry into cells via nucleoside transport (NT) processes. This study compared es nucleoside transporter content, determined using a flow cytometric assay with SAENTA [5'-S-(2-aminoethyl)-N6-(4-nitrobenzyl)-5'-thioadenosine] fluorescein, and cytotoxicities of 2-CdA and araC in fresh lymphoblasts from previously untreated paediatric ALL patients and the human T-lymphoblast cell line, CCRF-CEM. Lymphoblast samples from individual patients ranged widely in sensitivity to both 2-CdA (IC50, 6 nmol/l to > 5 micromol/l; mean = 418 nmol/l; n = 8) and araC (IC50, 59 nmol/l to > 5 micromol/l; mean = 1050 nmol/l; n = 7), although IC50 values for the two drugs were correlated (r = 0.78, P = 0.032, n = 7). Cellular es nucleoside transporter content varied more than 35-fold among samples from 10 patients. The correlation between es nucleoside transporter content and drug sensitivity was statistically significant for araC (r = -0.93, P = 0.023, n = 5), but not for 2-CdA (r = -0.57, P = 0.23, n = 6). Exposure of CCRF-CEM cells to araC resulted in a substantial araC concentration-dependent increase in the relative survival of es transporter-deficient cells, whereas the increase was slight following exposure to 2-CdA. We conclude that, in ALL lymphoblasts, es nucleoside transporter content is a determinant of araC sensitivity and that a deficiency in NT may impart resistance to araC.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".