Antibody-Drug Conjugates in Myeloid Leukemias
Bibliographic record
Abstract
ABSTRACT: Targeted therapy in oncology brings with it the promise to maximize cancer cell cytotoxicity with minimal off-target effects. Antibody-drug conjugates (ADCs), an important group of such targeted agents, consist of a monoclonal antibody conjugated to a potent cytotoxic drug. In the field of leukemia, ADCs form an important component of therapeutic arsenal through the use of gemtuzumab ozogamicin in acute myeloid leukemia and inotuzumab ozogamicin (InO) in B-cell acute lymphoblastic leukemia, 2 approved agents. A recombinant fusion protein, tagraxofusp, which function similar to ADC, has gained approval for therapy in blastic plasmacytic dendritic cell neoplasm. The use of such agents as monotherapy or as part of a combination therapy has led to improved response rates and outcomes in certain specific disease subtypes and has led to further studies to identify novel cellular targets and improved delivery of cytotoxic agents using ADC. In this review, we will discuss about ADCs in myeloid leukemia and understand their development and current use in the field.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".