Liver Metastases From Renal Oncocytoma With Vascular Extension
Bibliographic record
Abstract
The 2016 World Health Organization Renal Tumor Classification defines renal oncocytoma (RO) as a benign epithelial tumor; however, malignant histopathologic features have been documented. Rare cases with metastases have been reported. We describe the case of a 62-year-old woman who was referred to the Urology Clinic for a routine work-up. Magnetic resonance imaging and computerized tomography showed a 7-cm mass in the middle and lower portions of the left kidney and 2 suspected liver metastases. The patient underwent surgery. Microscopically both renal and liver lesions presented solid, solid-nested, and microcystic architecture, composed predominantly of large eosinophilic cells without any worrisome pattern except the vascular extension. The cells were positive for S100A1, CD117, and PAX-8 and negative for CAIX, CK7, and AMACR. Fluorescence in situ hybridization showed a disomic profile for the chromosomes 1, 2, 6, 7, 10, 17. No mutation of coding sequence of the SDHB, SDHC, SDHD, VHL, and BHD genes and no loss of heterozygosity at 3p were found. The final diagnosis was "RO" according to the 2016 World Health Organization Renal Tumor Classification with "liver metastases." This report provides a wide clinical-pathologic, immunophenotypical and molecular documentation of a RO with liver metastases.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".