Analysis of papillary urothelial carcinomas of the bladder with grade heterogeneity: supportive evidence for an early role of <i><scp>CDKN</scp>2A</i> deletions in the <i><scp>FGFR</scp>3</i> pathway
Bibliographic record
Abstract
AIMS: The dual pathway model of urothelial carcinogenesis does not fully explain grade and stage progression in patients with initial low-grade, non-muscle invasive urothelial carcinomas. Fibroblast growth factor receptor 3 (FGFR3) mutations are a hallmark of the low-grade pathway, with subsequent progression to muscle invasion occurring when FGFR3 mutant tumours exhibit a homozygous CDKN2A deletion. We hypothesized that grade heterogeneity represents the morphological manifestation of molecular changes associated with disease progression. METHODS AND RESULTS: We identified retrospectively 29 non-muscle invasive papillary urothelial carcinomas with grade heterogeneity (<20% high grade). Nineteen had sufficient material for immunohistochemistry, CDKN2A fluorescence in-situ hybridization and FGFR3 mutation analysis. Eight pure low-grade urothelial carcinomas (PLGUC) were also analysed. FGFR3 mutation was seen in 10 of 19 cases. A homozygous CDKN2A deletion was identified in the low-grade areas of eight of nine (88%) technically suitable FGFR3 mutant cases (including five pTa cancers), in five of nine FGFR3 wild-type carcinomas and in none of the PLGUC. Increased MIB-1 expression was seen in low-grade areas of 12 of 19, in high-grade areas of 17 of 19 cases with grade heterogeneity and in none of the PLGUC. p53 staining was increased in one of 19 low-grade and seven of 19 high-grade areas. CONCLUSION: Our findings show that grade heterogeneity in urothelial carcinoma is characterized by increased MIB-1 labelling, and particularly in the FGFR3 mutant pathway, with homozygous deletions of CDKN2A in low- and high-grade areas. This would suggest that CDKN2A deletion occurs prior to grade progression and supports the current convention to assign the highest grade to urothelial carcinomas with grade heterogeneity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".