Charles Brenton Huggins: A historical review of the Nobel laureate’s pioneering discoveries
Bibliographic record
Abstract
Androgen deprivation therapy for prostate cancer was pioneered by Charles Huggins, laureate of the Nobel Prize in Medicine in 1966. The authors tried to understand the scientific context and how previous findings paved Huggins way to his discoveries. With the help of summary or review articles on androgen deprivation therapy, the authors identified key publications and used his Nobel Prize speech as a basis to understand his discoveries. Furthermore, they used a recording of the laboratory-talk interview he gave about his findings to guide them to relevant publications. The authors found that the basis for Huggins' discoveries was the isolation of testosterone in 1935, not long before Huggins' 1941 hallmark publication. Huggins' work follows major experiments in the 19th century in orchiectomy done as a treatment for prostate hypertrophy. Researching the etiology of idiopathic hydrocele, Huggins analyzed the composition of prostate fluid. Further research led to the discovery of the influence of castration, testosterone, and estrogen on acid phosphatase. Recently developed methods facilitated the measurement of the phosphatases. He, therefore, had a biomarker for metastatic prostate cancer to measure treatment response. Very early on, he reported clinical improvements after castration in metastatic patients. Although the effect of orchiectomy on prostate hypertrophy was already known, Huggins was the first to show that testosterone stimulated and estrogen decreased the activity of prostate cancer. Huggins also established phosphatases as a tumor marker to measure disease response.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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".