Safety and efficacy of panitumumab (pmab) in HPV-positive (+) and HPV-negative (-) recurrent/metastatic squamous cell carcinoma of the head and neck (R/M SCCHN): Analysis of the global phase III SPECTRUM trial.
Bibliographic record
Abstract
5504^ Background: SPECTRUM evaluated the safety and efficacy of pmab, a fully human monoclonal antibody against the epidermal growth factor receptor, with platinum‑based chemotherapy (CT) vs CT alone in patients (pts) with R/M SCCHN. This predefined analysis presents outcomes by tumor HPV status. Methods: All tumor samples were centrally reviewed. HPV status was determined using a validated immunohistochemistry assay to p16INK4A by an independent lab blinded to treatment assignments. Tumor samples were scored positive or negative according to prespecified criteria. Results: Of 657 enrolled pts (ITT), 443 (67%) had samples evaluable for HPV testing. Ninety‑nine (22%) tumors were HPV+ and 344 (78%) were HPV-. HPV+ rates varied by site (37% oropharynx, 19% larynx, 15% oral cavity, and 13% hypopharynx) and geographic region (44% N America, 22% W Europe, 21% Asia Pacific, 19% S America, and 18% E Europe). Demographics were generally balanced except pts with HPV+ vs HPV- tumors were more often non‑smokers (31% vs 14%), had oropharyngeal tumors (47% vs 23%), and had poorly differentiated tumors (30% vs 13%). Efficacy results are shown (Table). Adverse events were generally balanced between HPV+ and HPV- pts. Conclusions: Pts with HPV- R/M SCCHN administered pmab + CT had improved overall survival (OS) and progression‑free survival (PFS), whereas no improvement in OS or PFS was observed in pts with HPV+ tumors. [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 | 0.002 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".