Tumor-Induced Hyperlipidemia Contributes to Tumor Growth
Bibliographic record
Abstract
The known link between obesity and cancer suggests an important interaction between the host lipid metabolism and tumorigenesis. Here, we used a syngeneic tumor graft model to demonstrate that tumor development influences the host lipid metabolism. BCR-Abl-transformed precursor B cell tumors induced hyperlipidemia by stimulating very low-density lipoprotein (VLDL) production and blunting VLDL and low-density lipoprotein (LDL) turnover. To assess whether tumor progression was dependent on tumor-induced hyperlipidemia, we utilized the VLDL production-deficient mouse model, carboxylesterase3/triacylglycerol hydrolase (Ces3/TGH) knockout mice. In Ces3/Tgh(-/-) tumor-bearing mice, plasma triglyceride and cholesterol levels were attenuated. Importantly tumor weight was reduced in Ces3/Tgh(-/-) mice. Mechanistically, reduced tumor growth in Ces3/Tgh(-/-) mice was attributed to reversal of tumor-induced PCSK9-mediated degradation of hepatic LDLR and decrease of LDL turnover. Our data demonstrate that tumor-induced hyperlipidemia encompasses a feed-forward loop that reprograms hepatic lipoprotein homeostasis in part by providing LDL cholesterol to support tumor growth.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".