Abstract 3174: PLK4 is a rational target for very high-risk medulloblastoma
Bibliographic record
Abstract
Abstract Medulloblastoma (MB) is the most common malignant pediatric brain tumor. Despite aggressive therapy (maximal safe surgical resection, craniospinal irradiation and/or chemotherapy) only 65% of patients survive, and survivors are left with severe neuro-cognitive sequelae. MB is comprised of at least four distinct molecular subgroups (SHH, Wnt, Group 3 and Group 4). Within the Sonic hedgehog (SHH) subgroup, a subset harboring inactivating mutations within TP53 represent a very high-risk group with almost universally fatal outcome. TP53 mutated SHH tumors have a high degree of genomic instability with frequent chromothripsis and are resistant to the current generation of SHH pathway inhibitors. The protein PLK4 has a key role in the maintenance of chromosome numeral integrity and as such dysregulation of PLK4 expression causes genomic instability. The PLK4 inhibitor (CFI-400945, produced by the Campbell Family Institute for Breast Cancer Research) was shown to increase genomic instability in aneuploid cells from adult solid tumors and induce these cells to die through mitotic catastrophy. Here we leverage a sporadic transposon based metastatic mouse model (Ptch+/-/Math1-SB11/T2Onc) that faithfully mimics very high-risk MB in children. In order to mimic treatment in children, tumors are microsurgically subtotally resected, followed with the oral administration of CFI-400945 and cranial MRI to monitor response. Blood brain barrier penetration of CFI-400945 was confirmed using mass spectroscopy, specifically pharmacokinetics study revealed an expected availability of CFI-400945 in the circulating blood and concentrated compound in the tumor compared to the normal brain. The administration of CFI-400945 confers an advantage of survival to the mice in this model, median of 18.5 days for surgery group and 49 days for surgery plus CFI-400945 group (p=0.005). In human tumor datasets PLK4 is highly expressed across a variety of malignancies, including MB. Specifically, across two independent, non-overlapping datasets higher PLK4 levels correlate with a trend toward worse outcome, however, when restricting this analysis only to SHH tumors, there is a significant survival difference between high and low PLK4 expression (p=0.012). In paired primary-metastatic MB PLK4 expression is retained at the time of recurrence, specifically in metastatic recurrences, suggesting PLK4 inhibition is a suitable treatment option at the time of recurrence. Taken together, the data reveals PLK4 inhibition as a novel and rational therapeutic target for a subset of very high risk MB and a broad range of other pediatric cancers. Citation Format: Carolina Nor, Mark Bray, Tak Mak, Michael Taylor. PLK4 is a rational target for very high-risk medulloblastoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 3174.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".