Abstract 2799: Unexpected sustained hypoxic glutamine metabolism and therapeutic opportunities
Bibliographic record
Abstract
Abstract Rationale: As the result of genetic alterations and tumor hypoxia, cancer cells re-program metabolism to meet increased energy demand for enhanced anabolism, cell proliferation, and protection from oxidative damage and cell death signals. Whereas glycolysis and its regulation by the MYC oncogene product (Myc) have been intensively studied, glutaminolysis and anapleurosis, especially under hypoxia, have not been defined. Objectives: We sought to determine whether glutamine, a key source of nitrogen and anabolic carbon skeleton for mammalian cells, is still utilized under hypoxic condition and how it is regulated by MYC. Methods: We used NMR and FT-ICR-MS to resolve 13C and 15N labeling patterns of metabolites derived from labeled glutamine or glucose in the P493 human B lymphoma model that bear a tetracycline-repressible MYC, under normoxic and hypoxic conditions. Levels of specific enzymes, which are involved in glucose and glutamine metabolism, were determined by immunoblotting and LC-MRM-MS and compared with the metabolomic profiles. Measurements and Main Results: Myc regulates almost the entire glycolytic pathway. As expected for hypoxia, many glycolytic enzymes levels and lactate production were elevated, and 13C- glucose catabolism by the TCA cycle was significantly diminished. Myc elevated glutaminase (GLS, which converts glutamine to glutamate and NH4+), the glutamine transporter SLC1A5, and the transaminases GOT1 and GPT2, suggesting that transamination is favored with Myc activation. While GLS-mediated NH4+ release persisted under hypoxia, the Myc-induced transaminases favor the production of α-ketoglutarate without additional NH4+ production. The 13C labeling pattern of Ala is consistent with active mitochondrial GPT2 that transaminates 13C-pyruvate derived from 13C- glucose. Given that mitochondrial function is generally believed to be diminished by hypoxia, glutamine metabolism unexpectedly persisted in hypoxia with continued oxidation of glutamine carbons by the TCA cycle. The key enzymes and main products of 13C labeled glutamine were not decreased by hypoxia, and glutamine contributed to substantial de novo glutathione production in hypoxia. Because glutamine metabolism is sustained in hypoxia, which is pervasive in the tumor microenvironment, we sought to target glutaminase in vivo. We found that small molecule inhibition of glutaminase could diminish lymphoma and pancreatic cancer xenograft growth in vivo. Conclusions: Our studies reveal a previously unsuspected sustained glutamine metabolism in hypoxia. Glutamine contributes to TCA cycle carbons as well as enhances glutathione synthesis in hypoxia, suggesting that cancer cells reprogram metabolism via both glucose and glutamine to adapt to the tumor microenvironment. Our findings indicate that key nodal points in glutamine metabolism in addition to those in glycolysis could be targeted for therapy. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 2799. doi:10.1158/1538-7445.AM2011-2799
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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 | 0.001 |
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.
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".