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Record W2056901969 · doi:10.1158/1538-7445.am10-5566

Abstract 5566: Phosphoproteomic profiling of Met / K-Ras signaling in colorectal cancer by label-free LTQ-Orbitrap mass spectrometry

2010· article· en· W2056901969 on OpenAlexaff
Shawna Organ, Jiefei Tong, Paul Taylor, Roya Navab, Jonathan St. Germain, Michael F. Moran, Ming‐Sound Tsao

Bibliographic record

VenueCancer Research · 2010
Typearticle
Languageen
FieldChemistry
TopicAdvanced Proteomics Techniques and Applications
Canadian institutionsHospital for Sick ChildrenOntario Institute for Cancer Research
Fundersnot available
KeywordsChemistryReceptor tyrosine kinaseOrbitrapCancer researchSignal transductionColorectal cancerAutocrine signallingCancer cellMolecular biologyMass spectrometryCancerReceptorBiochemistryBiologyGenetics

Abstract

fetched live from OpenAlex

Abstract Background: Colorectal cancer (CRC) is the second leading cause of death from cancer overall. Mutations in the K-ras oncogene are the most frequently observed mutations in CRC. Activation of receptor tyrosine kinases, including Met, is also common in CRC. Co-activation of both Met and K-Ras could result in preferential over-activation of specific downstream cascade(s). To address the potential importance of Met and K-Ras tandem activation, we use the DLD1 CRC cell line model. DLD1 cells contain one mutated K-ras allele, resulting in a constitutively active protein. These cells express a relatively low level of Met. A derivative of this cell line, DKO4, has its mutant K-ras allele inactivated by somatic recombination. Our lab has previously shown that overexpression of Met in DLD1 cells (DLD1-Met) enhances the tumorigenicity and metastatic potential of these cells. This did not occur in DKO4-Met cells, suggesting that activated K-Ras is necessary for these Met-mediated processes. We hypothesize that Met and K-Ras co-operate to activate novel tumourigenic and metastatic signaling pathways. Methods: We undertook a label-free mass spectrometry (MS)-based proteomics examination of protein-phosphotyrosine (pY) in the DLD1 CRC model. DLD1-Met and DKO4-Met cells were enriched for pY-containing peptides and then analyzed by LC-MS/MS using an LTQ-Orbitrap mass spectrometer. Peptide quantification was achieved by using both peptide ion spectral counting and normalized extracted ion current methods. To determine ligand-dependent vs. -independent differences in Met signaling, the parental DLD1 and DKO4 cells were stimulated with an HGF time course. Previous results in the lab show that DLD1 cells with activated K-Ras have prolonged MAPK signaling in response to HGF compared to DKO4 cells. Results: 9 proteins were found to be differentially regulated in these DLD1-Met vs. DKO4-Met. Validation by Western blotting in the empty vector and Met-overexpressing lines confirmed MS findings, as well as uncovered some pY changes mediated by both Met and K-Ras. Results from temporal analyses of pY in response to HGF stimulation will be presented to address this occurrence and suggest mechanisms of Met and K-Ras dependent tumourigenesis. Conclusions: We have identified a phosphoproteomic network associated with Met/K-Ras signaling. It may include novel therapeutic targets or prognostic markers for CRC. Supported by the CIHR MOP-64345 and the CIHR Banting and Best Doctoral Research Graduate Scholarship to SO Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 5566.

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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.034
GPT teacher head0.382
Teacher spread0.348 · 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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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