Variant Histology and Clinicopathological Features of Prostate Cancer in Men Younger than 50 Years Treated with Radical Prostatectomy
Bibliographic record
Abstract
PURPOSE: While prostate cancer is primarily a disease of older men, young age prostate cancer represents an important clinical subgroup which has not been adequately studied. We evaluated the histopathological features and associated clinical behavior of prostate cancer in a cohort of younger men treated with radical prostatectomy. MATERIALS AND METHODS: The study included 171 men younger than 50 years with prostate cancer who were treated with radical prostatectomy at an academic institution between 2001 and 2015. Comprehensive pathology review was performed. Clinical and followup data were obtained from a prospectively maintained institutional database. RESULTS: Median age was 43 years (range 38 to 49). Of the tumors 42% were Gleason score 3 + 3 and 45% were 3 + 4 while Gleason score 4 + 3, 4 + 4 and 4 + 5 disease comprised 10.5%, 0.5% and 1% of cases, respectively. Mucinous carcinoma (greater than 25% extracellular mucin), an uncommon histological variant which comprises 0.2% of prostate cancers, was noted in 11 of our cases (6%). A further 21 cases (12%) of acinar adenocarcinoma had a less than 25% mucinous component. Followup data were available on 156 men (91%). Biochemical recurrence developed in 12 patients (19%) but there was no documented postoperative metastasis or death from disease in the cohort. All cases of mucinous carcinoma were associated with favorable clinicopathological characteristics. CONCLUSIONS: Our findings provide additional evidence that younger men with prostate cancer who are treated with radical prostatectomy mostly have favorable disease characteristics and outcomes. While the histopathological features in our series were generally comparable to those of older onset carcinoma, our cohort was enriched for tumors with a mucinous phenotype. Correlation with molecular-genetic analysis in this subset of tumors may be valuable.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".