Abstract A20: Mitochondrial phosphoenolpyruvate carboxykinase (PCK2) regulates metabolic adaptation and enables glucose-independent tumor cell growth
Bibliographic record
Abstract
Abstract Cancer cells must adapt metabolically to survive and proliferate when nutrients are limiting. Here we used combined transcriptional-metabolomic network analysis to identify metabolic pathways that support glucose-independent tumor cell growth. We found that glucose deprivation stimulated the re-wiring of the tricarboxylic acid (TCA) cycle and early steps of gluconeogenesis to promote cell proliferation under low glucose. Glucose limitation promoted the production of phosphoenolpyruvate (PEP) from glutamine, which was used to fuel biosynthetic pathways normally sustained by glucose, including serine and purine biosynthesis. Mitochondrial PEP-carboxykinase (PCK2) was required for this glutamine-dependent metabolic reprogramming. PCK2 expression was dependent on the hypoxia-inducible factors (HIFs), and required to maintain tumor cell proliferation under limiting glucose availability. Elevated PCK2 expression is observed in several human tumor types, and enriched in tumor tissue from non-small cell lung cancer (NSCLC) patients. Our results define a novel role for PCK2 in cancer cell metabolic reprogramming that promotes glucose-independent cell growth and metabolic stress resistance in human tumors. Citation Format: Emma E. Vincent, Alexey Sergushichev, Takla Griss, Maxime N. Artyomov, Russell G. Jones. Mitochondrial phosphoenolpyruvate carboxykinase (PCK2) regulates metabolic adaptation and enables glucose-independent tumor cell growth. [abstract]. In: Proceedings of the AACR Special Conference: Metabolism and Cancer; Jun 7-10, 2015; Bellevue, WA. Philadelphia (PA): AACR; Mol Cancer Res 2016;14(1_Suppl):Abstract nr A20.
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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 | 0.001 | 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) | 0.000 | 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".