SHERLOC: A phase 2 study of MM-121 plus with docetaxel versus docetaxel alone in patients with heregulin (HRG) positive advanced non-small cell lung cancer (NSCLC).
Bibliographic record
Abstract
9036 Background: Seribantumab (MM-121) is a human monoclonal IgG2 antibody that blocks the HRG domain of HER3. Preclinical data suggest that seribantumab reverses HRG mediated drug resistance across multiple cancer models. In prior retrospective analyses, addition of seribantumab to standard of care (SOC) appeared to improve outcomes in pts with HRG+ tumors. Here we tested if seribantumab plus SOC improved progression-free survival (PFS) in pts with HRG+ lung adenocarcinoma who had received prior platinum-based therapy. Methods: SHERLOC was a randomized, open-label, multicenter, Phase 2 study in pts with advanced HRG+ adenocarcinoma of the lung. Archival or pre-treatment tumor samples were assessed for HRG+ by RNA in situ hybridization. Eligibility criteria included prior platinum-based therapy for advanced disease with ≤ 2 total prior lines of therapy (prior IO was allowed) and no EGFR or ALK mutations. Pts were randomized 2:1 to receive seribantumab 3000 mg/docetaxel 75 mg IV q3w (experimental; exp) or docetaxel 75 mg IV q3w alone (control). Primary endpoint was PFS. Key secondary endpoints were overall survival (OS), objective response rate (ORR), and adverse event (AEs) profile. Results: At a pre-specified interim analysis of 75% of total PFS events, 108 pts were enrolled (exp n = 71, control n = 37). Median age was 62y (range 34-83y); female 34%; one prior treatment only 39%. Median PFS was 3.0m for exp and 4.0m for control, HR = 1.66m (p = 0.084). Median OS was 7.9m for exp and 8.4m for control, HR = 1.50 (p = 0.235). ORR was 19.7% for exp and 5.6% for control (p = 0.052). Serious AEs were more frequent in the exp arm (40.8%) vs control (24.3%). Most common treatment emergent AEs (TEAEs) in the exp arm were diarrhea (47%), fatigue (37%), and neutropenia (27%). Based on a determination of futility at interim analysis, the study was terminated early. Conclusions: Seribantumab failed to improve PFS when added to docetaxel among previously treated advanced HRG+ NSCLC pts. A higher response rate and a higher incidence of TEAEs were observed in the exp arm. No further study of seribantumab is planned in NSCLC. Clinical trial information: NCT02387216.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.005 | 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".