A Case Report of Congenital Wilms’ Tumor and a Comprehensive Literature Review highlighting the spectrum between Wilms’ Tumor and Nephroblastomata’s
Bibliographic record
Abstract
Abstract Introduction/Objective Wilms’ Tumour (WT) represents the most frequently encountered malignant renal neoplasm within pediatric pathology. To delineate the histopathological features of WT with perilobar nephrogenic rests (PLNR) and intralobar nephrogenic rests (ILNR) from nephroblastomatosis, we report a case with literature review to evaluate the clinical implications of WT with or without nephrogenic rests (NR), and nephroblastomatosis. Methods/Case Report Our patient is a 2-week-old neonate with VACTERL, germline mosaic triple X, and stage 1 WT with PLNR and substantial ILNR. The management approach involved radical nephrectomy exclusively. Obtaining a unifying clinical syndrome as well as deciding between WT or nephroblastomatosis was challenging in this case. The molecular testing with VACTERL panel was indeterminate and WT panel revealed DIS3L2 mutation that is indeterminate but likely pathogenic. She has been stable for 12 months and placed on 4-monthly left kidney ultrasound surveillance. Results (if a Case Study enter NA) Our literature review showed that the most common histologic subtype in WT patients without NR (n=59) and with NR (n=33) were classic triphasic (28.8%) and stromal-predominant (39.3%), respectively. WT patients with or without NR, underwent radical nephrectomy followed by adjuvant chemotherapy. Loss of heterozygosity (LOH) in TRIM28 was 4-fold higher in cases with NR. Mortality and relapse rates (12.5%) were higher in non-NR cohort. Conversely, nephroblastomatosis patients (n=14) underwent neoadjuvant chemotherapy, ipsilateral radical nephrectomy, and contralateral nephron-sparing surgery. Nephroblastomatosis patients had higher mortality (22.2%) and relapse rate (30%), with no identifiable mutations on molecular testing. Conclusion WT patients with NR have an earlier diagnosis and lower mortality and relapse rates compared to those without NR. The higher frequency of LOH in TRIM28 in WT patients with NR warrants future exploration to assess its implication in progression free survival. Nephroblastomatosis exhibits higher mortality and relapse rates, emphasizing the importance of reporting nephroblastomatosis in co-existing WT cases.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".