Mirvetuximab soravtansine, a folate receptor alpha (FRα)-targeting antibody-drug conjugate (ADC), in combination with bevacizumab in patients (pts) with platinum-resistant ovarian cancer: Final findings from the FORWARD II study.
Bibliographic record
Abstract
5520 Background: Mirvetuximab soravtansine is an ADC comprising a FRα-binding antibody, cleavable linker, and the maytansinoid DM4, a potent tubulin-targeting agent. As part of the Phase 1b FORWARD II trial (NCT02606305), the combination of mirvetuximab soravtansine with bevacizumab (BEV) was evaluated in pts with FRα-positive, platinum-resistant ovarian cancer (recurrence within 6 months after last platinum). Methods: Pts received mirvetuximab soravtansine (6 mg/kg; adjusted ideal body weight) and BEV (15 mg/kg) on Day 1 of a 21-day cycle. Responses were assessed according to RECIST 1.1 and adverse events (AEs) evaluated by CTCAE v4.03. Results: In total, 66 pts received combination dosing at this level: 11 during escalation and 55 in expansion. The median age was 63 years, pts received a median of 3 prior lines of systemic therapy (range 1-8), and 62% had received prior therapy with BEV. The most common AEs were diarrhea (58%), nausea (50%), and blurred vision (48%), and were primarily low grade (≤ grade 2). Serious AEs were largely gastrointestinal in nature, with small intestinal obstruction the most frequent individual event (4 pts, 6%). Objective responses were seen in 27 pts for a confirmed overall response rate (ORR) of 41% (95% CI, 29, 54), median progression-free survival (mPFS) interval of 7.1 months (95% CI, 4.9, 9.5), and median duration of response (mDOR) of 8.6 months (95% CI, 4.9, 14.9). In a subset analysis of pts (n = 16) who were bevacizumab-naïve, had 1-2 prior therapies, and medium/high FRα levels (i.e., ≥ 50% of cells with at least moderate staining intensity) the ORR was 56% (95% CI, 30, 80), mPFS 9.9 months (95% CI, 4.1, 15.9), and mDOR 12 months (95% CI, 6.0, 14.9). Conclusions: The combination of mirvetuximab soravtansine with BEV exhibits favorable tolerability in pts with platinum-resistant ovarian cancer, characterized by a manageable side-effect profile. The encouraging efficacy compares favorably to reported outcomes for BEV and chemotherapy seen in similar patient populations. These data support continued exploration of the combination in ovarian cancer. Clinical trial information: NCT02606305.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".