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Record W1971805819 · doi:10.1158/1538-7445.am2013-5160

Abstract 5160: Claudin1 induces cell motility and invasion through PI3K/Akt/NFkB signaling in keratin-depleted carcinoma cell lines.

2013· article· en· W1971805819 on OpenAlexaff
Anne-Marie Fortier, Monique Cadrin, Éric Asselin

Bibliographic record

VenueCancer Research · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicKruppel-like factors research
Canadian institutionsUniversité du Québec à Trois-RivièresInnovation and Economic Development Trois Rivières
Fundersnot available
KeywordsKeratin 8Epithelial–mesenchymal transitionKeratinBiologyCell biologyKeratin 5Cancer cellCancer researchIntermediate filamentCell migrationPI3K/AKT/mTOR pathwayCellSignal transductionCytoskeletonCancerMetastasis

Abstract

fetched live from OpenAlex

Abstract In the early steps of metastasis, carcinoma cells undergo through a dedifferentiation process called ‘epithelial-mesenchymal transition’ (EMT). Among all phenotypic changes associated with this transition, the reduction or loss of keratin expression is often considered as a histological and biochemical feature for tumor cells that are going through an EMT. Keratins are epithelial-specific intermediate filament proteins which are expressed in a tissue-specific manner. Keratins 8 and 18 (K8/18) are typically co-expressed as the primary keratin pair in simple epithelial cells and their expression is maintained during malignant transformation until the tumor become invasive. As part of the cytoskeleton, keratins are important for the integrity of epithelial cells and tissues. Moreover, a number of keratins are involved in intracellular signaling pathways which regulates cell growth and death. In recent years, studies provided evidence that keratins should not be considered only as markers but also as regulators of cancer cell signaling.In the present study, we investigated whether K8/18 expression play an active role in EMT. We used RNA interference approach targeted against K8/18 to mimic keratin loss during EMT in two different epithelial cancer cell lines. Using in vitro wound healing and matrigel invasion assays, we observed that K8/18 stable knockdown increases collective migration and invasiveness of epithelial cancer cells without modulating EMT markers. Interestingly, we identified the tight junction protein claudin1 as a regulator of these processes. Indeed, claudin1 is highly increased and mislocalized in K8/18-depleted cells and it promotes membrane targeting and activation of Akt1 and Akt3. Claudin1 also induces NFkB nuclear translocation in a PI3K dependent manner. Therefore, NFkB transcriptional activity is increased in K8/18-knockdown cells as shown by luciferase reporter assay, leading to MMP2 and MMP9 expression. This led to our proposal of a model in which K8/18 loss promotes collective migration of epithelial cancer cell in a different way than an EMT, by increasing directional migration and intercellular cohesion. At the leading edge of the migrating cell sheet, K8/18 loss improves PI3K/Akt activation involved in the direction of movement and local matrix degradation through NFkB activity. In the following rows, K8/18 knockdown increases claudin1 at the cell membrane which strengthens cell cohesion.To our knowledge, these results represent the first indication that K8/18 can influence the phenotype of epithelial cancer cells at a transcriptional level and strongly indicate that in cancer, keratins should not be considered only as markers of differentiation but also as key regulators in cancer progression. Citation Format: Anne-Marie Fortier, Monique Cadrin, Eric Asselin. Claudin1 induces cell motility and invasion through PI3K/Akt/NFkB signaling in keratin-depleted carcinoma cell lines. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 5160. doi:10.1158/1538-7445.AM2013-5160

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 categoriesMeta-epidemiology (narrow)
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 score0.038
Threshold uncertainty score1.000

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 science0.0010.001
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 head0.078
GPT teacher head0.361
Teacher spread0.284 · 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.

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

Citations1
Published2013
Admission routes1
Has abstractyes

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