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Abstract B147: P-Rex1 is required for efficient melanoma metastasis.

2011· article· en· W1978648859 on OpenAlexaff
Colin R. Lindsay, Samuel O. Lawn, Andrew D. Campbell, William J. Faller, Florian Rambow, Richard L. Mort, Paul Timpson, Ang Li, Patrizia Cammareri, Máirín Rafferty, Ian Murphy, Enda McDermott, Kieran Sheahan, William Gallacher, Léon C.L.T. van Kempen, Friedrich Beermann, Channing J. Der, Lionel Larue, Heidi C. E. Welch, Brad Ozanne, Owen J. Sansom

Bibliographic record

VenueMolecular Cancer Therapeutics · 2011
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsMetastasisMelanomaCancer researchBiologyCancerMedicineInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background: P-Rex1 is a Rac-specific Rho GTPase guanine nucleotide exchange factor that has recently been implicated in cancer for the first time. As Rac has a central role in control of cell motility, we assessed the role of P-Rex1 in melanoma, a cancer where metastasis is the major cause of death. This was the first evaluation of P-Rex1 in a genetically modified animal model of cancer. We also investigated the function of P-Rex1 in melanoblasts, as the molecular pathways that drive their developmental migration are believed to underpin the movement of metastatic melanoma cells. Methods: P-Rex1−/− mice were crossed to mice carrying the DCT-lacZ transgene, a melanoblast reporter line, and a Tyr::NrasQ61K/°; INK4a−/− metastatic melanoma mouse model. Allograft tail vein (TV) injections were performed to further assess the endogenous function of P-Rex1 in metastasis. Panels of human melanoma cell lines and tissue were investigated with microarray, tissue culture, and immunohistochemical techniques. Results: P-Rex1−/− mice have a melanoblast migration defect during development (p=0.01), evidenced by a white belly. They were resistant to metastasis when crossed to the Tyr::NrasQ61K/°; INK4a−/− murine model of melanoma (1/30 mice with metastases vs 13/30 in control cohort; p=0.001). When melanocytes derived from this model were TV-injected into immune-competent allografts, endogenous P-Rex1 was found to facilitate metastatic incidence, growth, and organ spread following the intravasation stage of the metastatic cascade (p=0.02). Mechanistically, this was associated with P-Rex1 driving invasion in a Rac-dependent manner. In humans, P-Rex1 was elevated in the great majority of melanoma cell lines, with mRNA levels above the median statistically associated with metastasic propensity (p=0.005). Tissue immunohistochemistry revealed an association between tumor progression and P-Rex1 expression. Conclusions: P-Rex1 is a key component of melanoma progression, invasion and metastatic signaling, supporting the value of pharmacological inhibition of P-Rex1 activation of Rac for treatment of metastatic or high risk primary melanomas. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2011 Nov 12-16; San Francisco, CA. Philadelphia (PA): AACR; Mol Cancer Ther 2011;10(11 Suppl):Abstract nr B147.

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 score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.004

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 head0.070
GPT teacher head0.309
Teacher spread0.239 · 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
Published2011
Admission routes1
Has abstractyes

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