Abstract B15: BRCA haploinsufficiency promotes gluconeogenesis in fallopian tube epithelial cells
Bibliographic record
Abstract
Abstract Introduction: High-grade serous ovarian cancer (HGSC) is one of the deadliest gynecologic malignancies due to presentation at advanced stages and the development of chemotherapy resistance. The recent discovery that HGSC arises from fallopian tube epithelia (FTE) and the analysis results obtained from TCGA study are helping in understanding the genes involved in the progression of the disease. HGSC is genetically unstable due to the loss of function mutations in BRCA1, BRCA2, PALB2, ATM, and RAD51 genes involved in DNA damage response. These genes also regulate cellular metabolism, antioxidant, and detoxification responses. Preliminary data show that phase II antioxidant enzymes are significantly reduced in HGSC and there is an increase in reactive oxygen species (ROS) in cells harboring p53 and BRCA1 mutations in precursor lesions of FTE and HGSC. We also observed differential mRNA expression of PCK1 and PCK2, GLUT1 genes involved in gluconeogenesis and glycolysis. Mitochondria are one of the major organelles for the production of ROS, and it is a well-known fact that metabolism is drastically changed in cancer cells compared to normal cells. Our aim was to determine the metabolic and fuel dependency in preneoplastic transformed cells, characterize the mitochondrial phenotype, and link these dependencies to transformation in FTE. Methods: Fallopian tube specimens were obtained from the Biospecimen Shared Resources Core at SCCC. Patients undergoing risk reduction surgery were consent and FTE cells were obtained from BRCA and non-BRCA. Preneoplastic cell lines were then generated by hTERT, p53 mutation (R175H), and HPVE7. To mimic the genetic changes of in vivo HGSC, oncogenes CCNE1 and PIK3CA-H1047R were then overexpressed (OE) in these immortalized cell lines. Xenografts were generated from the transformed FTE cells lines. Agilent Seahorse assays were used to study the fuel dependency, oxidative phosphorylation, and glycolysis. Results: FTE-BRCA1 and FTE-BRCA2 cells showed differences in both glycolytic and oxidative metabolism depending on the oncogenic type. The transformed cells had lower oxidative metabolism and there was also discrepancy in the dependency of metabolites utilized by these cell lines for energy. As seen by mRNA, FTE-BRCA cells had more PCK2 protein and were characterized by higher metabolic rates; these observations were augmented in the presence of PIK3CA-H1047R. However, these FTE preneoplastic and oncogene transformed cells showed no difference in their mitochondrial mass or membrane potential. Conclusion: FTE-BRCA mutant cells utilize glycolysis or gluconeogenesis pathways to overcome metabolic stress depending on which oncogene is driving carcinogenesis. Further work is required to elucidate the mechanism of PCK2 and BRCA link in ovarian cancer carcinogenesis. Citation Format: Iru Paudel, Ramlogan Sowamber, Leah Dodds, Alex Sanchez, Marilyn Huang, Matthew Schlumbrecht, Brian Slomovitz, Sophia George. BRCA haploinsufficiency promotes gluconeogenesis in fallopian tube epithelial cells [abstract]. In: Proceedings of the AACR Special Conference on Advances in Ovarian Cancer Research; 2019 Sep 13-16, 2019; Atlanta, GA. Philadelphia (PA): AACR; Clin Cancer Res 2020;26(13_Suppl):Abstract nr B15.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".