Renal Cell Carcinoma Unclassified with Medullary Phenotype in a Patient with Neurofibromatosis Type 2
Bibliographic record
Abstract
We present, to our knowledge, the first reported case of germline neurofibromatosis Type 2 (NF2) associated with renal cell carcinoma unclassified with medullary phenotype (RCCU-MP) with somatic loss by immunohistochemistry of the SMARCB1 tumor suppressor gene located centromeric to NF2 on chromosome 22q. Our patient is a 15-year-old with germline neurofibromatosis Type 2 (NF2) confirmed by pathogenic mutation of c.-854-??46+??deletion. Her NF2 history is positive for a right optic nerve sheath meningioma, CNIII schwannoma requiring radiation therapy and post gross total resection of right frontotemporal anaplastic meningioma followed by radiation. At age 15 she developed new onset weight loss and abdominal pain due to RCCU-MP. Hemoglobin electrophoresis was negative for sickle hemoglobinopathy. Chemotherapy (cisplatin, gemcitabine and paclitaxel) was initiated followed by radical resection. Given the unique renal pathology of a high grade malignancy with loss of SMARCB1 expression via immunohistochemistry, and history of meningioma with MLH1 loss of expression and retained expression of PMS2, MSH2 and MSH6, further germline genetic testing was sent for SMARCB1 and mismatch repair syndromes. Germline testing was negative for mutation in SMARCB1. Therefore, this is the first reported case of RCCU-MP associated with germline NF2 mutation. This suggests the importance of closer surveillance in the adolescent and young adult population with NF2 with any suspicious findings of malignancy outside of the usual scope of practice with NF2.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".