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Record W2312496231 · doi:10.1158/1538-7445.am2012-1222

Abstract 1222: Met-dependent positive and negative signaling cascades in gastric cancer cells

2012· article· en· W2312496231 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCancer Research · 2012
Typearticle
Languageen
FieldMedicine
TopicCancer Mechanisms and Therapy
Canadian institutionsMcGill University
Fundersnot available
KeywordsSignal transductionAutocrine signallingPhosphorylationCancer researchCell signalingReceptor tyrosine kinaseHepatocyte growth factorC-MetCell biologyBiologyCancerCancer cellCell growthReceptorGenetics

Abstract

fetched live from OpenAlex

Abstract Signaling by the Met, hepatocyte growth factor (HGF) receptor tyrosine kinase (RTK) activates multiple downstream signaling pathways that promote cell migration and invasive growth. Cells that overexpress and are “addicted” to Met also require Met signaling to sustain cell survival. Thus, a number of specific small-molecule inhibitors have been developed to target Met in the clinic. Although several successes of RTK-targeted therapies are acknowledged, several have limited long-term success clinically, due to development of drug resistance. Initiation of RTK signaling cascades leads to the activation of a number of downstream signaling molecules, but prolonged activation also triggers negative feedback loops that function in part to abrogate this signaling. Hence, targeted inhibition of Met, in addition to suppressing Met-dependent signaling, may also release cells from negative feedback mechanisms and allow the reactivation of signaling pathways, that may promote resistance to Met inhibition. As MET amplification occurs in 10-20% of gastric cancers, to identify core Met dependent signaling pathways activated in Met dependent cancers we have used four different gastric cancer cell lines that exhibit amplification, overexpression, and constitutive activation of Met. Upon inhibition of Met with a small-molecule inhibitor, we observe abrogation of several downstream signaling pathways at both the protein phosphorylation and transcript level. Interestingly, as Met has been demonstrated to cross-talk with the EGF receptor family, we also observe a decrease in the phosphorylation of EGFR and HER3 upon treatment with Met inhibitor, and a decrease in expression of EGFR ligands. Conversely, Met inhibition results in an elevation in expression of HER3 transcript and protein in all 4 cell lines, implicating Met signaling in HER3 repression, and inhibition of Met may release HER3 from this negative regulation. As increases in HER3 phosphorylation and expression occur in other models (such as breast or lung cancer cell lines) upon treatment with EGFR, HER2, or AKT inhibitors, and high HER3 expression is strongly associated with tumor progression and poor prognosis in gastric cancer; hence, the loss of negative regulation of HER3, downstream from Met, may ultimately contribute to clinical efficacy, or lack thereof, of Met inhibitors. 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 1222. doi:1538-7445.AM2012-1222

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.049
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.424
Teacher spread0.337 · 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