Tirapazamine, Cisplatin, and Radiation Versus Cisplatin and Radiation for Advanced Squamous Cell Carcinoma of the Head and Neck (TROG 02.02, HeadSTART): A Phase III Trial of the Trans-Tasman Radiation Oncology Group
Bibliographic record
Abstract
PURPOSE: Promising results in a randomized phase II trial with the hypoxic cytotoxin tirapazamine (TPZ) combined with cisplatin (CIS) and radiation led to this phase III trial. PATIENTS AND METHODS: Patients with previously untreated stage III or IV (excluding T1-2N1 and M1) squamous cell carcinoma of the oral cavity, oropharynx, hypopharynx, or larynx were randomly assigned to receive definitive radiotherapy (70 Gy in 7 weeks) concurrently with either CIS (100 mg/m(2)) on day 1 of weeks 1, 4, and 7 or CIS (75 mg/m(2)) plus TPZ (290 mg/m(2)/d) on day 1 of weeks 1, 4, and 7 and TPZ alone (160 mg/m(2)/d) on days 1, 3, and 5 of weeks 2 and 3 (TPZ/CIS). The primary end point was overall survival (OS). The planned sample size was 850, estimated to result in 334 deaths, which would provide 90% power to detect a difference in 2-year survival rates of 60% v 70% for CIS versus TPZ/CIS, respectively (hazard ratio = 0.69). RESULTS: Eight hundred sixty-one patients were accrued from 89 sites in 16 countries. In an intent-to-treat analysis, the 2-year OS rates were 65.7% for CIS and 66.2% for TPZ/CIS (TPZ/CIS--CIS: 95% CI, -5.9% to 6.9%). There were no significant differences in failure-free survival, time to locoregional failure, or quality of life as measured by Functional Assessment of Cancer Therapy-Head and Neck. CONCLUSIONS: We found no evidence that the addition of TPZ to chemoradiotherapy, in patients with advanced head and neck cancer not selected for the presence of hypoxia, improves OS.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| 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) | 0.006 | 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".