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Record W4393095506 · doi:10.1158/1538-7445.am2024-4281

Abstract 4281: BMP signaling impaired telocytes-Foxl1+disrupt the extracellular matrix network enabling the development of colitis-associated cancer

2024· article· en· W4393095506 on OpenAlexaff
Vilcy Reyes Nicolás, Alain B. Alfonso, Jennifer Raisch, François‐Michel Boisvert, Marc-Antoine Lauzon, Nathalie Perreault

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldMedicine
TopicBone and Dental Protein Studies
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsExtracellular matrixCancerNeuroscienceCancer researchMedicineBiologyCell biologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract The relationship between colon stem cells (SCs), its surrounding niche microenvironment like the extracellular matrix (ECM) and the mesenchymal niche cells is complex and dynamic. ECM proteins are not only a scaffolding system for SCs, but their biophysical properties also contribute to localizing signals and creating gradients leading to the SCs homeostasis. Foxl1+-Telocytes (TCFoxL1+) are mesenchymal niche cells implicated in cell-cell communication and the production of BMP ligands. Upon chronic inflammation, mice lacking BMP signaling in TCFoxL1+ (BmpR1aΔFoxL1+), developed colonic tumors with microenvironment exhibiting abnormal TCFoxL1+ structure, increased BMP expression and myofibroblastic-like cancer-associated fibroblasts (myCAF) subpopulation. Yet, how the TCFoxL1+ influences SCs niche ECM proteins during tumorigenesis is less understood. We aimed to investigate how the loss of BMP signaling in TCFoxL1+ affects ECM network impacting the niche microenvironment promoting the development of CAC. DSS-based chronic inflammatory challenge in mutant and control mice, quantitative-MS-based strategy was performed to determine the proteome of the transformed regions solely in epithelial-mesenchymal tissue following colon deconstruction. Expression of the proteins of interest were validated by Western Blots or immunostainings. Quantitative analysis of collagen network was assessed using phyton pipeline U-net in Sirius red-stained colon analyzed under polarized light. Differential significant expression of 798 proteins, with 342 upregulated and 456 downregulated, were found in the tumors of mutant mice compared to controls. Mfap5 involved in CAF activation was the highest upregulated protein. We found upregulated, laminin subunits α4 and β2, decorin, lumican as well as transgelin (myCAF marker), which are proteins known for contributing to the stiffening of the ECM during colorectal cancer. Adamdec1 which prevents aberrant ECM accumulation and thrombospodin-1, an ECM glycoprotein whose low levels have been related to tumor growth, were both found to be downregulated. Data extracted from Python's U-Net pipeline demonstrated that tumors, in mutant mice, exhibited higher frequencies of straighter collagen fibers compared to wavier fibers in controls. Collagen fiber distribution was shown to present an even angle distribution in controls whereas BmpR1aΔFoxL1+ mice presented a preferential orientation. These results suggest that defective TCFoxL1+ commits the surrounding niche microenvironment, especially its ECM, toward the development and progression of CAC. Citation Format: Vilcy Reyes Nicolas, Alain B. Alfonso, Jennifer Raisch, François M. Boisvert, Marc-Antoine Lauzon, Nathalie Perreault. BMP signaling impaired telocytes-Foxl1+disrupt the extracellular matrix network enabling the development of colitis-associated cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4281.

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 score0.005
Threshold uncertainty score0.018

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)0.0050.001

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 head0.110
GPT teacher head0.422
Teacher spread0.312 · 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
Published2024
Admission routes1
Has abstractyes

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