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Record W2561747224 · doi:10.1158/1538-7445.am2015-1958

Abstract 1958: Interaction between keratin intermediate filament proteins K8/18 and cancer related signal transduction proteins in epithelial cells

2015· article· en· W2561747224 on OpenAlexaff
Stéphanie Lamontagne, Anne-Marie Fortier, Sophie Parent, Éric Asselin, Monique Cadrin

Bibliographic record

VenueCancer Research · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSkin and Cellular Biology Research
Canadian institutionsUniversité du Québec à Trois-RivièresInnovation and Economic Development Trois Rivières
Fundersnot available
KeywordsKeratin 8Intermediate filamentKeratinEpithelial–mesenchymal transitionCell biologyProtein kinase BBiologyVimentinPI3K/AKT/mTOR pathwayGene knockdownSignal transductionCellCancer researchWnt signaling pathwayKeratin 14CytoskeletonCancerCell cultureImmunologyMetastasisGeneticsTransgene

Abstract

fetched live from OpenAlex

Abstract Intermediate filaments (IFs) are cytoskeletal polymers formed by a large family of proteins that are expressed in a cell differentiation and tissue specific manner. Keratins (K) are the IF proteins present in epithelial cells. They are known to provide structural supports to cells and play roles in maintaining cellular integrity against mechanical and toxic stresses. More recently, keratins have been recognized to play non-mechanical functions which include the regulation of signaling pathways that control cell growth and survival. In tumor pathology, K8 and K18 which are the only keratin present in hepatocytes were, for a long time, just considered as cell type markers. However, in recent years various studies have provided evidence that keratins should be considered as regulators of cancer cell signaling. For instance, K8/18 loss is a hallmark of epithelial mesenchymal transition (EMT) but their role in tumor progression is unclear. In an attempt to bring more insight into the function of keratins in this process, we first investigated whether K8/18 expression played an active role in EMT. Using shRNA, we produced new K8/18 stable knockdown cell lines (human endometrial carcinoma KLE, human hepatocellular carcinoma HepG2 and human cervical carcinoma HeLa cell). Our K8/18 stable knockdown model presented a hyperactivation of the PI3K/Akt/NF-κB axis. Moreover, these changes were associated with an increase in collective cell migration and invasiveness. Because of these results, we considered whether NF-κB and its activators (PI3K, Akt (1, 2, 3), pAkt, IKK (α, β, γ), IκB-α and pIκB-α) are associated with keratins in epithelial cells. Using immunoprecipitation and immunofluorescence, our current results show that pAkt, NF-κB and IKKβ are indeed associated with keratins. Taken together, these results support the hypothesis that keratin intermediate filament proteins provide a platform for these proteins involved in signal transduction. Further studies will be done to determine if posttranslational modifications that affect keratins (K8/18 phosphorylation on specific serines and/or K18 O-glycosylation) interfere with their association to signaling protein and transcription factors previously found. Changes in K8/18 posttranlational modifications and their association with different proteins could be important determinants in cancer progression of epithelial cells. This work was supported by CRSNG grants to MC and EA. Citation Format: Stephanie Lamontagne, Anne-Marie Fortier, Sophie Parent, Eric Asselin, Monique Cadrin. Interaction between keratin intermediate filament proteins K8/18 and cancer related signal transduction proteins in epithelial cells. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 1958. doi:10.1158/1538-7445.AM2015-1958

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)0.001
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 score0.026
Threshold uncertainty score0.654

Codex and Gemma teacher scores by category

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

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 head0.066
GPT teacher head0.377
Teacher spread0.311 · 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
Published2015
Admission routes1
Has abstractyes

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