Intralesional recombinant α‐interferon for localized prostate cancer: a pilot study with follow‐up of >10 years
Bibliographic record
Abstract
OBJECTIVE: To report the long-term results of the intralesional administration of an immune modifier, interferon-alpha (IFN-alpha) in men with localized prostate cancer, providing a method for drug delivery within the gland under ultrasonographic control. PATIENTS AND METHODS: Ten men with localized prostate cancer participated in a study involving the intraprostatic injection of IFN-alpha, weekly for 5 weeks. Prostate biopsies were taken and prostate-specific antigen (PSA) levels were measured bi-annually or until the men had an alternative treatment. RESULTS: The pretreatment mean Gleason score was 7 and the mean PSA level 11 ng/mL. Biopsies after treatment were negative in three patients. Of the remaining seven, six chose to continue watchful waiting. With time, five went on to alternative treatment; one had radical prostatectomy (at 3 months), two had external beam radiotherapy (at 3 and 6 months), and two had androgen suppression (at 3 and 24 months). Of the three men with initial negative biopsies, one died from unrelated causes 13 years later, with an undetectable PSA level; the second remains asymptomatic 13 years later but has an elevated PSA level. The last patient has a low (<4 ng/mL) PSA level, negative biopsies and had 'no cancer' in a resection specimen, 64 months after treatment. These two men remain under active surveillance with no intervention. CONCLUSIONS: After delivery of IFN-alpha directly into the prostate gland, and a long follow-up, it appears that there was some antitumour activity in some patients. The doses used were small and the schedule of administration short. Further evaluation of this, and other agents alone and in combination, might be worthwhile.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".