Mechanism of Action of Pentostatin and Cladribine in Hairy Cell Leukemia
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
Pentostatin (2'-deoxycoformycin; dCF) and cladribine (2-chlorodeoxyadenosine; CdA) are highly effective agents for the treatment of hairy cell leukemia. Although their precise mechanisms of action in this disease are still unknown, a number of mechanisms have been postulated. dCF is a potent inhibitor of adenosine deaminase (ADA), and treatment results in the accumulation of deoxyadenosine (dAdo) and adenosine (Ado) in the plasma. dAdo is phosphorylated by deoxycytidine kinase in lymphocytes to deoxyadenosine monophosphate (dAMP), which is subsequently converted to deoxyadenosine triphosphate (dATP). CdA is the chlorinated derivative of deoxyadenosine, is resistant to degradation by ADA, and accumulates in lymphocytes as CdATP. Both dATP and CdATP cause an initial accumulation of DNA strand breaks in lymphocytes and this results in the activation of p53, the release of cytochrome c from mitochondria, and apoptosis. CdA has several unique mechanisms of action over dAdo and these include the incorportation of CdATP into DNA, the inhibition of DNA polymerase β, and the phosphorylation of CdA to CdATP by deoxyguanosine kinase in mitochondria. These additional modes of action produce further DNA breaks in CdA-treated cells and explain the more potent activity of CdA compared to dCF and the greater myelosuppression with this agent. The cells die by apoptosis, but the DNA strand breaks also cause the activation of poly(ADP-ribose) polymerase (PARP), with resultant cellular depletion of nicotinamide adenine dinucleotide (NAD) and ATP. The induction of necrosis by PARP activation may explain the activity of these analogs in some patients with p53 mutations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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 it