42 Use of Alisertib in an adult patient with recurrent atypical teratoid/thaboid tumor: A case report and literature review of AT/RT in adults
Bibliographic record
Abstract
Atypical Teratoid Rhabdoid Tumors (AT/RTs) often affect children under the age of 3 and are the most common malignant CNS tumors in children younger than 6 months. It is very rare to see these tumors in patients older than 6 years of age. We discuss the case of a 14 year old male with AT/RT of the right insula. He had a prior diagnosis of Dysembryoplastic Neuroectodermal Tumor (DNET) at the age of 10, after two years of intermittent headaches, nausea, and seizures, which was treated with conformal radiation and chemotherapy for a year. Following the diagnosis of AT/RT, he underwent radiotherapy, multiple lines of chemotherapy, and two additional debulking surgeries of the left temporal lobe due to continuing progression. He was then treated with Alisertib (an Aurora-A kinase inhibitor) with good response on sequential MRIs after the first three cycles. He progressed after nine cycles of Alisertib and required further debulking surgery. Six years after his AT/RT diagnosis (and 10 years after his DNET diagnosis), the patient expired at the age of 20 due to ongoing progression. To our knowledge, this is only the second reported case of Alisertib use in a non-pediatric AT/RT case. We also performed a literature review of all reported cases of AT/RT in adults between the years 2000 – 2017 and discuss treatment options, patient demographics, and survival.
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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 | 0.001 |
| 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 | 0.003 |
| 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 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".