The role of TRAIL death receptors in the treatment of hematological malignancies
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
Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) is a promising new treatment for the hematological malignancies. TRAIL induces apoptosis by binding to its two death receptors DR4 (TRAIL-R1) and DR5 (TRAIL-R2). The extent of apoptosis by TRAIL is tightly regulated by the expression of these receptors and by downstream signaling. Chemotherapeutic agents increase the expressions of DR4 and DR5 on tumor cells through the activation of various transcription factors and there is enhanced killing on combining these agents with TRAIL. In this review, we will discuss the mechanism of TRAIL death receptor-induced apoptosis and the regulation of DR4 and DR5 expression. In particular, we will focus on the regulation of TRAIL death receptor signaling in hematological malignancies and the mechanisms responsible for the sensitization of leukemia and lymphoma cells to TRAIL-induced apoptosis by chemotherapy. Finally, we shall review the clinical data regarding the use of recombinant TRAIL and activating monoclonal antibodies against the TRAIL death receptors in the hematological malignancies.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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