LGG-19. SLIPPED CAPITAL FEMORAL EPIPHYSIS (SCFE): A RARE ADVERSE EVENT ASSOCIATED WITH FGFR TYROSINE KINASE INHIBITOR THERAPY IN A CHILD
Bibliographic record
Abstract
Abstract BACKGROUND FGFR tyrosine kinase inhibitors (FGFR-TKIs) are being increasingly used off-label in children with hard-to-treat tumors harboring specific FGFR alterations. We report a case of Slipped Capital Femoral Epiphysis (SCFE), an on target skeletal toxicity of a pan-FGFR TKI inhibitor, erdafitinib. METHODS Data was extracted from chart review of the patient and literature search for the use of FGFR-TKIs in children and their side effects. RESULTS A 13-year-old boy was diagnosed to have a optic pathway/ hypothalamic glioma with signs of increased intracranial pressure and obstructive hydrocephalus requiring placement of ventriculo-peritoneal (VP) shunt. Sequencing of the tumor showed FGFR1-Tyrosine kinase domain internal tandem duplication (FGFR1-KD-ITD) and was negative for BRAF mutation/ fusion. Two weeks later, he was treated for a VP shunt infection (surgical revision and 6 weeks antibiotics). He developed hypothalamic obesity with rapid weight gain and BMI >30. After a four-month delay from the initial diagnosis, he was started on erdafitinib a pan-FGFR1-4 inhibitor, through a special access program. At 12 weeks of treatment, he developed persistent knee pain. X-ray of the hips showed slipped capital femoral epiphysis (SCFE) of the right hip. Erdafitinib was discontinued and he underwent surgery with in-situ pinning of the right hip and prophylactic pinning of the left hip. MRI at the time of stopping the medication showed a 30% decrease in the size of the tumor, which has remained stable at 6 months follow up. CONCLUSIONS Based on our experience and literature review of pediatric patients who are treated with pan-FGFR TKIs, we recommend: a) monitoring both rate of weight gain/ BMI for obesity and growth velocity while on therapy and b) update the drug toxicity profile of FGFR TKIs to include skeletal toxicities and inform parents/ patients of these toxicities at the time of consent for therapy.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".