The Underappreciated Renal Phenotype of EGFR Deficiency: Could It Be that Complex?
Bibliographic record
Abstract
Introduction: Epidermal Growth Factor Receptor (EGFR) is a cell signaling receptor implicated in cell proliferation, survival, and tissue growth. Neonatal inflammatory skin and bowel disease type 2 is caused by EGFR recessive deficiency (OMIM 616069). Among the 22 known cases, nephromegaly is the only notable renal phenotype. A review of published cases and a new case suggests NISBD2 is frequently associated with tubulopathy. Case Description: A 10-year-old girl was diagnosed with NISBD2 caused by homozygous pathogenic EGFR variants (NM_005228.3: c.1283G>A; p.G428D). Ultrasound revealed large echogenic kidneys with poor corticomedullary differentiation and many small cysts. We documented hypomagnesemia 0.5 mmol/L and hypokalemia 2.6 mmol/L caused by excessive urinary magnesium wasting FeMg 14%. We also observed mild chronic hypernatremia 155 mmol/L due to a urinary concentration defect UOsm 400 mOsm/kg water. Finally, low-molecular-weight proteinuria and glucosuria without hyperphosphaturia or aminoaciduria suggest partial proximal tubulopathy. Discussion: In EGFR signaling, there are various downstream pathways, so mutations affect cell proliferation and homeostasis. We will discuss with an in-depth insight into the disease, the potential pathophysiology of the associated tubulopathy and PKD, and its presence in previously reported under-recognized cases. Conclusion: Hypomagnesemia is well-known in EGFR inhibitors but not in EGFR deficiency. Additionally, EGFR deficiency causes enlarged kidneys. The renal phenotype, however, is much more complex, involving hypokalemia, hypernatremia, cystic disorder, and tubulopathy. Electrolytes can be monitored more precisely in cases of EGFR deficiency to determine the significance of this association.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".