Transmission of a <i>TP53</i> germline mutation from unaffected male carrier associated with pediatric glioblastoma in his child and gestational choriocarcinoma in his female partner
Bibliographic record
Abstract
Li–Fraumeni syndrome (LFS) is an autosomal dominant cancer predisposition syndrome caused by germline alterations in the tumor suppressor gene TP53. LFS is associated with numerous malignancies including astrocytoma. Sanger sequencing and chromosomal microarray studies of blood and tumor tissue from a 4-yr-old boy with glioblastoma demonstrated a germline TP53 mutation with loss of heterozygosity for the short arm of Chromosome 17 as the second inactivating event in the tumor. There was no family history of LFS, but the child's mother had recently died from metastatic choriocarcinoma after antecedent normal term delivery of a then 6-mo-old daughter. The choriocarcinoma contained the same TP53 mutation detected in the proband and the 6-mo-old daughter was confirmed to be a carrier. Unexpectedly, the germline TP53 mutation was found to be inherited from the unaffected father. We report here the second genetically confirmed case of TP53-mutated choriocarcinoma in the partner of an LFS patient. Based on this case and recent literature, female partners of LFS patients may have increased risk of choriocarcinoma due to transmission of germline TP53 mutation from male carriers. Although the Toronto protocol has established an effective approach to detect tumors and improve survival in children and adults with LFS, there is a need to expand the current criteria to include surveillance of female partners of LFS patients for choriocarcinoma and other gestational trophoblastic disease. Recognition of this unique mode of transmission of TP53 mutations should be considered in genetic counseling for cancer risk assessment and family planning.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".