Polatuzumab vedotin (Pola) + obinutuzumab (G) and lenalidomide (Len) in patients (pts) with relapsed/refractory (R/R) follicular lymphoma (FL): Interim analysis of a phase Ib/II trial.
Bibliographic record
Abstract
7505 Background: Pola-G-Len may enhance anti-tumor immune response in R/R FL. We report a pre-planned interim analysis of the safety/efficacy of induction and maintenance with Pola-G-Len in pts with R/R FL in a phase Ib/II study. Methods: Pts received induction treatment with 6x 28-D cycles of: G 1000mg IV (C1: D1, D8, D15; C2–6: D1); Pola 1.4mg/kg or 1.8mg/kg (dose escalation [DE]) or RP2D (expansion) IV (D1); and Len 10–20mg (DE) or RP2D (expansion) PO (D1–21). Pts with CR/PR/SD at the end of induction (EOI) received G 1000mg (D1 every 2mo, for 24mo), and Len (10mg, D1–21 monthly, 12mo). Primary endpoints: C1 DLTs, safety/tolerability, CR rate at EOI (modified Lugano criteria). Results: At the interim data cut-off (7/6/2018), 52 pts were enrolled: 9 discontinued the study (adverse events [AE], n=3; death due to PD, n=4; pt withdrawal, n=1; other, n=1). Median pt age was 62 (range 32–87) years; 58% FLIPI 3–5; 79% ≥2 prior therapy lines; 50% refractory to last treatment. Grade ≥3 AEs were experienced by 75% of pts: neutropenia (46%), thrombocytopenia (17%), anemia (12%) and infections (12%) were most common. AEs leading to Len dose reduction/interruption occurred in 31%/52% of pts. One Grade 5 AE was reported (septic shock after PD in pt receiving subsequent therapy). RP2D: Pola 1.4mg/kg + Len 20mg. Preliminary efficacy data suggest high activity (Table). Median PFS not reached (median follow-up duration 8.95mo; efficacy-evaluable population [EEP]). Conclusions: The safety profile of Pola-G-Len is consistent with known profiles of the individual drugs. Response rates at EOI with Pola-G-Len are promising, with high CR compared with available R/R FL treatments. Responses at EOI (EEP; RP2D; N=18). Clinical trial information: NCT02600897. [Table: see text]
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".