An Open-label, Phase II Trial of Entospletinib (GS-9973), a Selective Spleen Tyrosine Kinase Inhibitor, in Diffuse Large B-cell Lymphoma
Bibliographic record
Abstract
BACKGROUND: Entospletinib (GS-9973) is an oral, selective inhibitor of spleen tyrosine kinase. Entospletinib monotherapy was evaluated in a multicenter, phase II study of subjects with relapsed or refractory B-cell malignancy. PATIENTS AND METHODS: The study included 43 patients with relapsed or refractory diffuse large B-cell lymphoma (DLBCL). The participants received 800 mg of the original, monomesylate formulation of entospletinib twice daily as a starting dose; the doses could be reduced because of toxicity throughout the study. RESULTS: No patient achieved a complete or partial response, 5 patients (12%) had stable disease, and 26 patients (60%) had progressive disease. Progression-free survival (PFS) at 16 weeks was 3.6% (95% confidence interval [CI], 0.3%-15.3%), and the median PFS was 1.5 months (95% CI, 1-1.7 months). The independent review committee-assessed nodal response for 27 evaluable patients showed a reduced tumor burden in 6 patients (22%). The median duration of entospletinib treatment for these 6 patients was 9 weeks (range, 3-24 weeks). One patient (4%) had a decrease of ≥ 50% in the sum of the product of the nodal diameters. The treatment-emergent adverse events occurring in ≥ 20% of the cohort were fatigue, nausea, decreased appetite, constipation, dyspnea, diarrhea, dehydration, cough, insomnia, and peripheral edema. The common laboratory abnormalities occurring in ≥ 20% of the subjects were lymphocytopenia, anemia, creatinine (chronic kidney disease), increased aspartate aminotransferase, hypoalbuminemia, total bilirubin, hyponatremia, leukopenia, increased alanine aminotransferase, increased alkaline phosphatase, and hyperglycemia. CONCLUSION: Entospletinib monotherapy at 800 mg twice daily demonstrated limited activity in patients with advanced, relapsed DLBCL.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".