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Record W2315182050 · doi:10.1158/0008-5472.fbcr09-b29

Abstract B29: Inactivation of suppressor of fused alone is not sufficient to cause medulloblastoma

2009· article· en· W2315182050 on OpenAlexaff
Thevagi Satkunendran, Ryan Ward, Peter B. Dirks, Chi‐chung Hui

Bibliographic record

VenueCancer Research · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHedgehog Signaling Pathway Studies
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedulloblastomaPatchedNestinSuppressorBiologyCerebellumCancer researchPTCH1Tumor suppressor geneProgenitor cellNeural stem cellHedgehog signaling pathwaySonic hedgehogCell biologyCarcinogenesisEndocrinologySignal transductionStem cellGeneticsCancer

Abstract

fetched live from OpenAlex

Abstract Hedgehog (Hh) signaling is essential for embryonic development and adult homeostasis. Aberrant pathway activity can result in various developmental disorders and tumors. The Hh receptor Patched (PTCH1) is a negative regulator of the pathway and acts as a tumor suppressor. We and others have shown that suppressor of fused (SU(FU)) and KIF7 are two major negative regulators of the pathway downstream of PTCH1. Medulloblastoma (MB), the most common and aggressive pediatric brain tumor arising in the cerebellum, involves deregulation of Hh signaling. Similar to those observed in patients with PTCH1 mutations, Ptc1+/− mice spontaneously develop MB. In Ptc1+/− mice, the incidence of MB increases upon exposure to DNA damaging agents or a compounded loss of other tumor suppressor genes, such as p53. SU(FU) mutations have been found in MB, suggesting that SU(FU) is also a tumor suppressor in the cerebellum. However, we found that Su(fu)+/− mice do not develop any spontaneous MB, and that upon neonatal exposure to X-ray irradiation as well as a chemical carcinogen, these mice do not form any tumors. To examine the potential tumor suppressor function of Su(fu) in the brain, we performed conditional deletion of Su(fu) in neural progenitors. In mice, deletion of Su(fu) in neural progenitors using the Nestin-Cre line resulted in a disorganized cerebellum and motor defects. Unexpectedly, unlike Nestin-Cre;Ptc1f/- mice which developed MB, MB formation was not observed in Nestin-Cre;Su(fu)f/- mice. In contrast, similar to those reported previously, 100% of Su(fu)+/−;p53−/− mice developed MB between 2.5–4 months of age. Molecular analysis of primary tumor cell lines from these MBs revealed a loss of the wild type Su(fu) allele in the tumors. Together, these observations indicate that loss of Su(fu) alone is not sufficient for transformation into MB and suggest that other molecules, such as Kif7, may possess compensatory functions in the suppression of the tumor phenotype. Currently, we are examining the effects of Kif7 inactivation alone and in conjunction with Su(fu) inactivation on MB formation. Citation Information: Cancer Res 2009;69(23 Suppl):B29.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.377

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.087
GPT teacher head0.409
Teacher spread0.323 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

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