Retinoblastoma CSF Metastasis Cured By Multimodality Chemotherapy Without Radiation
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: Cerebrospinal fluid (CSF) metastasis is the most difficult type of retinoblastoma metastasis to cure, even with bone marrow transplant. Most metastatic retinoblastoma cells express P-glycoprotein causing multidrug resistance (MDR). P-glycoprotein-rich blood vessels form blood-brain and blood-eye barriers, inhibit drug entry into central nervous system (CNS) and eyes. High-dose craniospinal radiation is too morbid for treatment of young children. To cure CSF metastasis without radiation, we designed an intensive multimodality chemotherapy regimen. METHOD: After left eye enucleation, a 4-month-old boy with bilateral International Intraocular Retinoblastoma Classification Group E eyes and CSF metastasis was treated with 7-cycle high-dose carboplatin and etoposide, standard-dose vincristine, and high-dose/short-infusion cyclosporine to inhibit P-glycoprotein. Intraventricular drugs, non-substrate of P-glycoprotein (cytarabine), or less susceptible to MDR (topotecan), contributed to treatment of the metastasis. On achieving complete response, he was consolidated with supralethal-dosage carboplatin, etoposide, and cyclophosphamide, and his bone marrow rescued with autologous cord blood stem cells. RESULTS: Following 1-cycle systemic chemotherapy and 2-dose intraventricular chemotherapy, the CSF metastasis cleared. The right eye tumor regressed completely. The patient remains in remission 8.3 years after diagnosis and 7.8 years post-transplant. CONCLUSION: Intensive multimodality chemotherapy can cure CSF metastasis in retinoblastoma without incurring extreme morbidity from craniospinal radiation.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it