Antibody-Drug Conjugates in Myeloid Leukemias
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
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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