Sarcomatoid Urothelial Carcinoma Arising in Autosomal Dominant Polycystic Kidney Disease: A Case Report and Literature Review
Bibliographic record
Abstract
Autosomal dominant polycystic kidney disease (ADPKD) may be associated with various epithelial malignancies. The most reported ones are papillary renal cell carcinoma (RCC) and clear cell RCC. Only one noninvasive urothelial carcinoma arising in the renal pelvis has been previously reported in the setting of ADPKD in the English literature. A 52-year-old patient with ADPKD and a history of renal transplant presented with a poorly differentiated sarcomatoid neoplasm in his native left polycystic kidney. A recognizable urothelial or renal cell carcinoma differentiation was not identified in the resected neoplasm microscopically. The initial diagnosis for this specimen was challenging on morphology and immunohistochemistry, but targeted next-generation sequencing provided molecular evidence in support of urothelial origin, indicating a hotspot mutation −124 C > T in the TERT promoter (C228 T) and loss of heterozygosity on chromosomes 9p and 8p. This tumor is unique because, to our knowledge, this is the first report of upper tract sarcomatoid urothelial carcinoma in a patient with ADPKD.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".