CCL5-CCR5 interactions modulate metabolic events during tumor onset to promote tumorigenesis
Bibliographic record
Abstract
In earlier studies we have shown that CCL5 activation of CCR5 induces the proliferation and survival of breast cancer cells in a mechanistic target of rapamycin (mTOR)-dependent manner and that this is in part due to CCR5-mediated increases in glycolytic metabolism. Using the MDA-MB-231 triple negative human breast cancer cell line and mouse mammary tumor virus – polyomavirus middle T-antigen (MMTV-PyMT) mouse primary breast cancer cells, we conducted in vivo tumor transplant experiments to examine the effects of CCL5-CCR5 interactions in the context of regulating tumor metabolism. Additionally, we employed Matrix-Assisted Laser Desorption/Ionization Fourier Transform Ion Cyclotron Resonance Mass Spectrometry imaging (MALDI-FTICR-MSI) to evaluate tumor utilization of cellular metabolites. We provide evidence that, in the absence of CCR5, the early events associated with rapid tumor growth in the MMTV-PyMT mouse model of spontaneous breast cancer development, are diminished, as demonstrated by a delay in tumor onset. In tumor transplant studies into immunocompromised mice we identify a direct correlation between reduced tumor proliferation and decreased metabolic activity, specifically associated with tumor expression of CCR5. The reduction in tumorigenesis is accompanied by decreases in glucose uptake, glucose transporter-1 (GLUT-1) cell surface expression, intracellular ATP and lactate levels, as well as reduced CCL5 production. Using MALDI-FTICR-MS, we show that the rapid early tumor growth of CCR5 +/+ triple negative breast cancer cells in vivo is attributable to increased levels of glycolytic intermediates required for anabolic processes, in contrast to the slower growth rate of their corresponding CCR5 −/− cells, that exhibit reduced glycolytic metabolism. These findings suggest that CCL5-CCR5 interactions in the tumor microenvironment modulate metabolic events during tumor onset to promote tumorigenesis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".