cml Biology for the Clinician in 2011: Six Impossible Things to Believe before Breakfast on the Way to Cure
Bibliographic record
Abstract
Chronic myeloid leukemia (cml) is a model disease in oncology: it is the first human cancer linked to a distinct chromosomal abnormality, ultimately causing constitutive overactivity of a known oncogenic tyrosine kinase that represents a drug target. The introduction of the tyrosine kinase inhibitor imatinib into clinical practice has far exceeded expectations and resurrected hope that the fundamental insights from the "war on cancer" can lead to significant therapeutic advances. Nevertheless, the current perception among clinicians is that imatinib and its newer more potent cousins offer superb long-term disease control for most patients, but that cure without transplantation has remained elusive. However, several important laboratory-based observations over the last few years have changed those perceptions. Several of those developments are discussed here, including direct manipulation of the apoptosis pathway in cancer cells and prevention of disease progression with the use of antioxidants. Intriguing results from a French study indicate that, if disease progression is halted, a small but significant group of patients may be able to stop imatinib therapy without disease recurrence. And for patients whose disease, because of resistant stem cells, needs a more direct attack than tyrosine kinase inhibitors alone, several approaches investigated in laboratory and animal models seem promising, and some are ripe for clinical testing, including inhibitors of Smoothened and 5-lipoxygenase, and suppression of autophagy. Thus, there is realistic hope that true cure of cml, without transplantation, may be a feasible goal in the near future.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.014 |
| Insufficient payload (model declined to judge) | 0.022 | 0.013 |
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".