Bibliographic record
Abstract
INTRODUCTION: Aurora kinases are key regulators of mitosis and inhibition of Aurora kinase activity is a rational therapeutic strategy in the treatment of solid tumors and hematological malignancies. AREAS COVERED: This paper will provide an updated summary of preclinical and clinical experience with ENMD-2076 in hematological malignancies. The MEDLINE (OVID) (1980 through 31 January 2012) was searched with the term combinations including Aurora, multiple myeloma, leukemia, lymphoma, myelodysplastic syndrome and myeloproliferative neoplasms. In addition, the American Society of Clinical Oncology (ASCO) (1997 - 2011) and the American Society of Hematology (ASH) (1997 - 2011) conference proceedings were searched for reports of new or ongoing trials. EXPERT OPINION: ENMD-2076 is a multi-kinase inhibitor, with activity against Aurora A kinase, FLT3, c-KIT, c-FMS and VEGFR-2 and -3. It appears to be tolerable, exhibits favorable pharmacokinetic profiles and has activity in patients with acute myeloid leukemia and multiple myeloma. Further evaluation with cytotoxic chemotherapy and targeted agents, which affect different pathways and have non-overlapping toxicities, in patients with hematological malignancies are warranted.
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.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".