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Record W4323351222 · doi:10.1093/jcag/gwac036.026

A26 BMP-SIGNALING IMPAIRED TELOCYTES CREATE A DISRUPTED NICHE GRADIENT FOSTERING COLITIS-ASSOCIATED CANCER

2023· article· en· W4323351222 on OpenAlexaff
Vanessa Reyes, V Pomerleau, P Granger, N Perreault

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2023
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsWnt signaling pathwayMesenchymal stem cellBone morphogenetic proteinCancer researchBiologyColorectal cancerEpithelial–mesenchymal transitionVimentinPathologyCancerCell biologyMedicineSignal transductionInternal medicineMetastasisImmunohistochemistry

Abstract

fetched live from OpenAlex

Abstract Background The colonic stem cell niche is established by a gradient of WNT, R-spondin, BMP factors and their antagonists along the colonic epithelial vertical axis. Telocytes (TCFoxL1+) are mesenchymal cell forming a 3D hub underneath the epithelium, identified as an important source of niche factors. Specifically, they express non-canonical (nc) WNT factors and are the richest source of BMPs. Disruption of the BMPs gradient has been shown to be related to the development of several gastrointestinal diseases like Inflammatory Bowel Diseases (IBD). Such chronic inflammation drives the onset of Colitis-Associated Cancer (CAC) in about 60% of IBD patients. We previously showed that following a chronic inflammatory stress, 50% of the KO mouse for the BMP receptor 1a in colon telocytes (Bmpr1a△FoxL1+) presented malignant epithelial transformations. These cancer-like regions showed an aberrant epithelial b-catenin localization and an enlargement of the double positive α-SMA+/Vimentin+ mesenchymal population. Purpose: Loss of BMP signaling in TCFoxL1+ affects the mesenchymal-epithelial crosstalk and makes the colonic epithelium vulnerable to injuries, promoting/perpetuating inflammation fostering CAC onset. Method Following a DSS-based chronic inflammatory challenge in mutant and control mice, TCFoxL1+ ultrastructure was analyzed using transmission electron microscopy. Expression levels of members of the WNT-BMP axis (BMPs, WNTs and associated antagonists) were evaluated by qPCR in tumor-like areas and adjacent tissue. YAP cellular localization was evaluated by immunofluorescence in colon after chronic DSS challenge in Bmpr1a△FoxL1+ mice and controls. To differentiate cancer-associated fibroblasts (CAFs) subtypes, myCAF (myofibroblastic) and iCAF (inflammatory), in tumor-like region and adjacent tissue, we used co-staining against gp38, ICAM, Tagln and αSMA. Result(s) Following a chronic DSS-challenge, electron microscopy analysis demonstrated that TCFoxL1+ in the control mice exhibited a shortening and erosion in their telopodes (Tp). TCFoxL1+ in Bmpr1a△FoxL1+ mice tumor-like regions presented an expanded endoplasmic reticulum with fragmented and dilated Tp. A significant increase in BMP 4, 5 and 7 and in Wnt5 (nc) was detected in Bmpr1a△FoxL1+ mice compared to controls. Confocal analysis revealed a strong nuclear accumulation of YAP in cancer-like regions in mutant mice compared to controls. Finally, tumour-like regions presented an heterogeneous distribution of iCAF and myCAF compared to controls. Conclusion(s) These results exposed that the disruption of TCFoxL1+ associated BMP signaling disturbs the WNT-BMP gradient essential for the optimal maintenance of the SC niche and thus impacting epithelial regeneration when under stress. Thus, defective TCFoxL1+ assume a key role in the poor regeneration process of the epithelium which in the end promotes the development and progression of CAC. Please acknowledge all funding agencies by checking the applicable boxes below CIHR Disclosure of Interest None Declared

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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0040.001

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 head0.026
GPT teacher head0.272
Teacher spread0.246 · 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
Published2023
Admission routes1
Has abstractyes

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