Li-Fraumeni Syndrome and p53 in 2015: Celebrating their Silver Anniversary
Bibliographic record
Abstract
In a typical morning in the Cancer Genetics Clinic at The Hospital for Sick Children in Toronto, the following array of patients and families might be seen: a family of three children, all harbouring a mutation of the succinyl dehydrogenase C gene inherited from their father who had had extensive surgery several years ago for a secreting paraganglioma; three families with Li-Fraumeni syndrome, each with at least one child harbouring a TP53 gene mutation conferring a lifetime risk of cancer approaching 100% and currently undergoing surveillance for early tumour detection; two children with Li-Fraumeni syndrome undergoing treatment for cancer - one having had three cancer diagnoses before 19 months of age and the other just completing therapy for metastatic adrenocortical carcinoma at age 3; two children with von Hippel-Lindau disease being monitored for persistent pancreatic neuroendocrine tumors and cerebellar hemangioblastomas, respectively; and one child with Beckwith-Wiedeman syndrome and Wilms tumor and another child completing therapy for a pleuropulmonary blastoma (PPB).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.006 |
| 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".