Phase I/II Study of Biweekly Paclitaxel and Radiation in Androgen-Ablated Locally Advanced Prostate Cancer
Bibliographic record
Abstract
PURPOSE: To determine the maximum-tolerated dose (MTD) of concurrent paclitaxel and radiation therapy (RT) in patients with locally advanced prostate cancer. MATERIALS AND METHODS: Eligible patients had T2-4 tumors with Gleason scores greater than 7 and/or PSA levels greater than 10 ng/mL and/or had tumors with pathologic stage TxN1. Hormonal ablation was initiated 3 months before RT and was given for 9 months. RT was delivered daily (1.8 Gy) with concurrent twice-weekly paclitaxel (30 mg/m(2)). The whole pelvis was irradiated to 39.6 Gy. The radiation dose was escalated as follows: 63 Gy, 66.6 Gy, 70.2 Gy, and 73.8 Gy. The last RT dose level was fixed at 73.8 Gy. RESULTS: Between January 2000 and October 2006, 22 patients were enrolled. The median age was 59 years (range, 48 to 72 years); the median PSA level was 22.4 ng/mL (range, 2.8 to 113 ng/mL). The number of patients per stage was as follows: three with T1, eight with T2, 11 with T3, and five with pN1 = 5. No grade 3 toxicities occurred at 63 Gy. Grade 3 diarrhea occurred in three patients at 66.6 Gy. The protocol then was amended to treat the prostate volume first followed by the whole pelvis. No grade 3 toxicities were observed at 70.2 Gy. One patient experienced grade 3 diarrhea at 73.8 Gy. Five additional patients were treated to 73.8 Gy without grade 3 toxicity, which established the MTD for combined paclitaxel and RT at 73.8 Gy. At 38 months median follow-up (range, 9 to 87 months), 21 (95%) of 22 patients are alive. Six (27%) of 22 experienced recurrence. CONCLUSION: Concurrent biweekly paclitaxel with RT is feasible, with an MTD of 73.8 Gy. Recovery of gonadal function occurs in the majority of patients. These results encourage testing in a phase III setting.
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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 | 0.001 |
| 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) | 0.003 | 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".