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Record W1986594613 · doi:10.1158/1538-7445.am2012-2251

Abstract 2251: Loss of epithelial PTEN affects gastric homeostasis and leads to spasmolytic polypeptide-expressing metaplasia in the mouse

2012· article· en· W1986594613 on OpenAlexaff
Faïza Maloum, Sébastien Roy, Marie Josée Langlois, Nathalie Perreault

Bibliographic record

VenueCancer Research · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPI3K/AKT/mTOR signaling in cancer
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsPTENBiologyTensinCancer researchProtein kinase BPI3K/AKT/mTOR pathwayCell biologyPathologySignal transductionMedicine

Abstract

fetched live from OpenAlex

Abstract AIMS: The phosphatase and tensin homolog (PTEN), a negative regulator of the phosphatidylinositol 3-kinase/ AKT pathway, is one of the most frequently mutated/deleted gene in various human cancers. PTEN has also been shown to regulate numerous cellular processes such as genomic stability, stem cell renewal, senescence and cell differentiation. However, the potential effects of Pten on gastric organogenesis and homeostasis have not yet been explored. The aim of our study is to investigate the role of epithelial Pten signaling in the maintenance and specification of gastric epithelium. METHODS: Using the Cre/loxP system, we have generated a mouse model with a deletion of Pten exclusively in the foregut endoderm (PtenαGEC). Glandular architecture was assessed with H&E staining. Analysis of cell proliferation was performed by immunofluorescence with a PCNA antibody. Gastric cell type patterns from control and mutant mice were analyzed by antibody- specific immunostaining, alcian blue and Periodic Acid Schiff stainings. RESULTS: PtenαGEC mice are viable and have no severe abnormality in gastric organogenesis. Loss of Pten in the stomach epithelium was confirmed by IHC and, as expected, leads to an increase of p-Akt in the mutant gastric glands. Histological analysis by H&E staining demonstrates a disorganized glandular architecture associated with cystic regions in the corpus from 4 months of age. The PtenαGEC mice display a delocalization and upregulation in epithelial proliferation associated to an increase of the glands length. Analysis of the different cell lineages shows an increase in the mucus cell population. Furthermore, chromogranin A immunostaining shows an increase in the number of enteroendocrine cells in Pten mutant mice. Analysis of parietal cells reveals a significant decrease in this cell population in PtenαGEC mice. Surprisingly, zymogenic cells are absent from the glandular epithelium in mutant mice, whereas GSII positive cells, specific for neck cells, are increased and delocalized to the basal region. The latter observations suggest a possible induction of SPEM (spasmolytic polypeptide-expressing metaplasia) in these mice. Furthermore with aging, loss of PTEN leads to an increasing inflammatory process demonstrated by the expression of myeloperoxidase positive cells in the cystic regions and the mesenchyme. CONCLUSION: Altogether, our results indicate that PTEN in the gastric epithelium impacts on gastric gland architecture, negatively regulates the proliferation and plays an important role in the regulation of the cytodifferentiation and maturation of gastric cells. Finally loss epithelial Pten is sufficient for SPEM development and presence of inflammatory markers with age. 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 2251. doi:1538-7445.AM2012-2251

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 score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.002

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 head0.051
GPT teacher head0.372
Teacher spread0.320 · 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
Published2012
Admission routes1
Has abstractyes

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