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Record W2027586113 · doi:10.1158/1538-7445.am2012-2590

Abstract 2590: A novel use of E2f and Cdk inhibitors to prevent <i>RB</i>-null tumours in genetically engineered models of retinoblastoma

2012· article· en· W2027586113 on OpenAlexaff
Sean R. McCurdy, Ahmed Aman, Izhar Livne‐Bar, Monika Sangwan, Danian Chen, Rima Al‐awar, Rod Bremner

Bibliographic record

VenueCancer Research · 2012
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsOntario Institute for Cancer ResearchToronto Western Hospital
Fundersnot available
KeywordsRetinoblastomaCyclin-dependent kinaseE2FRetinoblastoma proteinCancer researchBiologyCarcinogenesisCDK inhibitorCyclin-dependent kinase 2Cell cycleCell biologyCancerGeneticsGene

Abstract

fetched live from OpenAlex

Abstract Over the past few decades, extensive mouse and human genetics have implicated deregulated E2f and Cdk activity in cell exit escape and tumorigenesis. In flies, activating E2f or Cdk causes temporary abnormal division, but both must be induced for long-term aberrant proliferation - a hallmark in benign tumor-prone lesions. Almost invariably, defects in the Rb-E2f or Cip/Kip Cdk inhibitor (CKI)-Cdk2/1 cell cycle regulatory pathways occur together in human cancer. Despite this, little is known in regards to whether dual activation is an obligate feature for tumor susceptibility at initiation in vivo. In human retinoblastoma, homozygous RB1 inactivation is sufficient to initiate the disease. However, mouse retinoblastoma requires inactivation of both Rb1 and one of its family members (p107 or p130). Like pRb, p107 and p130 are best known as E2f inhibitors. Unexpectedly, the additional loss of p107 does not elevate E2f targets follow Rb loss. Instead, Rb/p107-deficient cells induce the E3 ubiquitin ligase Skp2 and activate Cdk2 in vivo. Strikingly, Cdk2 activity tightly correlates with susceptibility to retinoblastoma in our mouse models. Compiling this data, tumorigenesis may have two distinct steps: (1) Rb loss initiates abnormal division, and (2) the additional loss of p107 or, as we have found, p27kip1, both of which lead to Cdk2 activation is required to engender cancer susceptibility. Together, E2f and Cdk dual axes activity is essential for retinoblastoma initiation. To test this notion pharmaceutically, we treated retinoblastoma-prone mice with a Cdk or E2f small molecule inhibitor during the birth period of suspected cancer cell-of-origin. Strikingly, one-week exposure to an inhibitor of either axes curtailed retinoblastoma in Rb/p107- null and Rb/p27-null retinas. These therapeutic successes were achieved without disrupting normal proliferation. Thus, E2f inhibitors, untested in vivo, or Cdk inhibitors, largely unproven as therapeutics, may be ideal chemopreventative agents. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 2590. doi:1538-7445.AM2012-2590

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.086
GPT teacher head0.358
Teacher spread0.272 · 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 source (direct Gemma or distilled Codex), 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
Published2012
Admission routes1
Has abstractyes

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