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Record W4414491700 · doi:10.1158/2326-6074.cimm25-b024

Abstract B024: Tumor Resection Status Modulates Cardiometabolic Response to Imatinib in GIST

2025· article· en· W4414491700 on OpenAlexaboutno aff
Allen Seylani, Assal Sadighian, Yohannes Haile, Sadaf Sadighian

Bibliographic record

VenueCancer Immunology Research · 2025
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal Tumor Research and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsImatinibGiSTStromal tumorBody mass indexImatinib mesylateCholesterolCancerHemoglobin

Abstract

fetched live from OpenAlex

Abstract Background: Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal neoplasm of the GI tract. Depending on tumor risk, surgery and imatinib are standard treatment options; however, for metastatic disease, systemic imatinib therapy alone is the standard of care. Notably, imatinib has been shown to influence metabolic effects, especially on lipid and glycemic profiles. In this study, we compare the effects of imatinib on resected versus unresected/metastatic GIST patients, aiming to understand if tumor burden modulates imatinib’s effects on metabolism. Methods: This retrospective cohort study utilizes de-identified patient data from the TriNetX database, which compiles information from over 170 million individuals across 145 healthcare systems in 18 countries. We evaluated metabolic biomarkers including total cholesterol, triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), TG/HDL ratio, low-density lipoprotein cholesterol (LDL-C), hemoglobin A1c, body mass index (BMI), and thyroid-stimulating hormone (TSH). Results: In patients with resected GIST on imatinib (N=148), total cholesterol, TG, and LDL showed significant (p<0.05) negative correlations (R=-0.71, R=-0.73, R=-0.67, respectively) over the 24 month treatment duration. No significant associations were observed for HDL, TGL/HDL ratio, hemoglobin A1c, BMI or TSH (p>0.05). In unresected GIST patients (N=112) on imatinib, TG and TGL/HDL decreased significantly (p<0.05, R=-0.68, R=-0.74) while HDL increased significantly (p<0.05, R=0.90). No significant associations were noted for total cholesterol, LDL, A1c, BMI and TSH (p>0.05). Conclusion: This study found that GIST tumor status may potentiate imatinib’s metabolic effects. In the resected cohort, the significant negative downtrends in total cholesterol and LDL may indicate that tumor removal could be alleviating the chronic inflammatory and metabolic demands utilized by neoplastic tissue - possible due imatinib’s OCTN2 effects on carnitine transport, fatty acid absorption, and total cholesterol and LDL uptake. Conversely, in the unresected cohort, the improvement in TG, HDL and TG/HDL ratio could suggest an anti-inflammatory response driven by ongoing tumor burden. We also suspect that the absence of improvements in LDL or total cholesterol are due to active disease interfering with lipid metabolism. These findings highlight the importance of considering tumor status when evaluating GIST patients’ lipid biomarkers. Citation Format: Allen Seylani, Allen L. Luo, Assal Sadighian, Yohannes Haile, Sadaf Sadighian. Tumor Resection Status Modulates Cardiometabolic Response to Imatinib in GIST [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Mechanisms of Cancer Immunity and Cancer-related Autoimmunity; 2025 Sep 24-27; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Immunol Res 2025;13(9 Suppl):Abstract nr B024.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.664
Threshold uncertainty score0.895

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.059
GPT teacher head0.441
Teacher spread0.382 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2025
Admission routes1
Has abstractyes

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