Abstract 792: Super-transactivation TP53 variant in the germline of a family with Li-Fraumeni variant
Bibliographic record
Abstract
Abstract Li-Fraumeni Syndrome (LFS) is a rare autosomal dominant familial cancer syndrome, characterized by multiple malignancies and frequent germline alterations in TP53. In this study, we highlight four unclassified exonic p53 variants detected in patients with a suspected diagnosis of LFS. We report for the first time the discovery of two novel functional variants in codons 191(c.572C>G; p.P191R) and 360 (c.1079G>T; p.G360V), located, respectively, in the DNA binding domain and in a linker region near the tetramerization domain of TP53. Our data revealed that while the P191R variant decreased the transactivation levels of several p53 targets, it failed to segregate with the disease state. The G360V variant, on the other hand, behaved in a paradoxical fashion by causing a stark upregulation in the activity of several p53 response elements. This tumor suppressive effect was also observed at the level of colony formation and c-Caspase 3 activation. While unlikely to be disease-causing, we propose that these variants may represent novel p53 polymorphisms and potential phenotypic modifiers in LFS. In the future, the enhanced transactivation effects of G360V-p53 may also prove useful in designing more efficacious p53-based gene therapies. Citation Format: Badr Id Said, Han Kim, James Tran, Ana Novokmet, David Malkin. Super-transactivation TP53 variant in the germline of a family with Li-Fraumeni variant. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 792.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".