Gliomas in the context of Li-Fraumeni syndrome: An international cohort.
Bibliographic record
Abstract
1517 Background: Li-Fraumeni syndrome (LFS) is a cancer predisposition syndrome associated with germline mutation in the TP53 tumor suppressor gene. As a result of increased awareness and surveillance imaging, more asymptomatic low-grade brain lesions are being identified, raising important questions regarding the management of those patients. Sporadic low-grade gliomas (LGG) in the pediatric age rarely transform to malignant lesions, whereas the prognosis of high-grade gliomas (HGG) is grim in all age groups. Although HGG is a hallmark of LFS, little is known of the natural history of these lesions in this syndrome. Methods: For this multi-institutional retrospective study, anonymized clinicopathologic data from TP53 mutation carriers with gliomas were collected and analysed. Results: Our cohort included 61 patients, of whom 71% (n = 45) were children or young adults (age < 25 years). 39% of patients with known family history of cancer had a close relative with a brain tumor. Of 31 patients with low grade lesions at presentation, 83% (n = 26) were identified through surveillance. Five-year progression free survival (PFS) for these patients was 48%, though two patients progressed later. Furthermore, at 5 years 25% of these patients had biopsy proven malignant transformation to HGG. This “transformation free survival” rate did not plateau, as at 7 years 56% of patients transformed. When considering death from a brain tumor, the 5- and 10- year overall survival (OS) for the LGG group was 100% and 83%, respectively. Additional 3 patients succumbed to other LFS related malignancies. For the HGG group, consisting of 30 patients, the 5 year OS was 35% (median follow-up 19.5 months), comparing favorably with the sporadic HGG population as reported in the literature. Almost all of these patients presented with clinical symptoms. Notably, 12 (40%) of them had a prior malignancy. Conclusions: Our analysis suggests that the risk of transformation of LGG in the setting of LFS is high and warrants ongoing surveillance. Interestingly, there are a considerable number of long- term survivors in our HGG group, although the median follow up is still short. Further study to examine potential genotype- phenotype correlations in germline TP53 mutation carriers will inform strategies to identify those patients at highest risk of glioma progression.
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 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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".