Bilateral Nephroblastic Tumors and a Complex Renal Vascular Anomaly in a Patient With a Mosaic RASopathy: Novel Histopathologic Features and Molecular Insights
Bibliographic record
Abstract
Mosaic RASopathies are an emerging group of disorders characterized by mosaic or post-zygotic activating mutations in genes of the RAS/MAPKinase signaling pathway. The phenotype is highly variable, ranging from limited or localized forms to cases with a syndromic presentation with extensive or multiorgan involvement, and also overlaps with other mosaic disorders. While there are several reports of malignancies in patients with mosaic RASopathies, specifically rhabdomyosarcoma and transitional urothelial carcinoma, the lifetime risk and molecular mechanisms that lead to the development of malignancies remain unclear. We report a 22-month-old boy with a somatic RASopathy due to an underlying KRAS p.G12D mutation who presented with a large unilateral epidermal nevus, asymmetric lower limb overgrowth with lytic and sclerotic bone lesions, capillary malformation, bilateral nephrogenic rests and Wilms tumors, and a novel complex renal vascular anomaly that resembles Fibro-Adipose Vascular Anomaly (FAVA). This report further expands the phenotypic spectrum of somatic RASopathies, and discusses the potential phenotypic and pathogenetic overlap with PIK3CA-related overgrowth disorders, specifically CLOVES. The occurrence of a secondary cancer hotspot mutation ( FBXW7 p.R479G ) in the Wilms tumor, but not the associated nephrogenic rest, moreover suggests that additional driver mutations are involved in the development of Wilms tumor in somatic overgrowth disorders.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 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".