Targeting the Bcl-2 family of proteins in Hodgkin lymphoma:<b><i>in vitro</i></b>cytotoxicity, target modulation and drug combination studies of the Bcl-2 homology 3 mimetic ABT-737
Bibliographic record
Abstract
With currently available treatment, patients with refractory Hodgkin lymphoma (HL) or those who relapse multiple times have an extremely poor prognosis. Therefore, new agents and novel therapeutic approaches are urgently needed. Anti-apoptotic proteins such as Bcl-2 and Bcl-x have been associated with the growth and survival of Hodgkin Reed-Sternberg cells and are potential therapeutic targets. ABT-737 is a small molecule that inhibits the Bcl-2 family of apoptosis regulators. In this study, we show the concentration-dependent and time-dependent cytotoxicity of ABT-737 against cell lines derived from patients with HL. A concurrent reduction in a number of intracellular cell growth and survival related molecules, such as Bcl-2, Bcl-xl, NF-kappaB and survivin was also seen. Drug combination studies using a panel of conventional and novel therapeutic agents show that ABT-737 potentiates the activity of agents that have inherent anti-lymphoma activity and provide support for the evaluation of ABT-737 in the clinical setting.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".