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Abstract C030: Effect of palmitic acid exposure in normal colon organoids derived from young versus older individuals

2025· article· en· W4417201295 on OpenAlexaboutno aff
Casidhe-Nicole Bethancourt, Yosuke Mitani, Michelle Zhang, Tianxia Li, Yoanna S Pumpalova, Beatrice Dionigi, Joel Gabre

Bibliographic record

VenueClinical Cancer Research · 2025
Typearticle
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsnot available
Fundersnot available
KeywordsOrganoidColorectal cancerMatrigelPalmitic acidCryptRectum

Abstract

fetched live from OpenAlex

Abstract Background: Diet and obesity play a role in the intestinal microenvironment. High-fat diet and metabolic changes associated with obesity has been shown to increased cellular remodeling and local inflammation. Given the rise in early onset colorectal cancer, here we explore the effect of a high-fat environment in colonic organoids derived from young versus older individuals. We propose that organoids derived from younger individuals have more cellular plasticity, allow them to proliferate in high-fat environment at the cost of increased mutational burden and an altered intestinal microenvironment that increases the risk of tumor development and progression. Method: We generated organoids obtained from normal colon tissue from patients undergoing colorectal resection for colon cancer, one £45 years old and the other >60 years old. After sufficient growth, organoids were chemically passaged, counted and seeded at 50,000 cells per 50µl of Matrigel in a 24-well plate. After 2 days of growth in standard organoid media, organoids were treated with 30µM of palmitic acid. Equivalent amounts of ethanol in 1% BSA served as a control. PDOs were examined under Celigo Image Cytometer (Nexcelom) at desired time points to quantify number of organoids per well. Following treatment, RNA was obtained using RNAqueous-Micro Kit and then converted to cDNA using Bio-Rad kit. qRT-PCR Bio-Rad was conducted using iCycler RT–PCR detection system. Results: A high-fat environment led to significantly increased organoid formation in normal colon organoids in £45YO group but not in the >60YO group (mean number of organoids 245 versus 314 in £45YO-control and £45YO-exposed respectively; p-value<0.0001 and 167 versus 197 in >60YO-control and >60YO-exposed respectively; p-value 0.0892). After 96hr of growth, this significant difference was lost. Following passage and despite adjustment to normal organoid media, the £45YO-exposed group had significantly increased organoid formation capacity compared to control (mean number of organoids 94 versus 182 in £45YO-control and £45YO-exposed; p-value=0.006). TLR4 gene expressions levels were quantified and found to be significantly increased by exposure to PA in the <45YO group but not the >60YO group (p-value 0.0299). Conclusion: Using palmitic acid, a known component of a high-fat diet, we demonstrate that exposure leads to increased proliferation in colonic organoids derived from young individuals but not older individuals. Despite normalization of the environment, the second generation of organoids derived from those exposed demonstrated continued proliferation compared to control. TLR4 gene expression was also significantly increased in this group. This receptor likely may modulate inflammation in the tumor microenvironment. Citation Format: Casidhe-Nicole R. Bethancourt, Yosuke Mitani, Michelle Zhang, Tianxia Li, Yoanna Pumpalova, Beatrice Dionigi, Joel Gabre. Effect of palmitic acid exposure in normal colon organoids derived from young versus older individuals [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: The Rise in Early-Onset Cancers—Knowledge Gaps and Research Opportunities; 2025 Dec 10-13; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2025;31(23_Suppl):Abstract nr C030.

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)0.0000.001
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 head0.105
GPT teacher head0.497
Teacher spread0.393 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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