Abstract A12: The metabolic stress mediator LKB1 is required for ovarian cancer metastasis
Bibliographic record
Abstract
Abstract Most epithelial ovarian cancer (EOC) patients with metastatic disease initially respond to cytotoxic chemotherapy, yet almost all will relapse with resistant disease. Thus, improving patient outcomes will require novel approaches to limit metastasis and overcome chemo-resistance. Liver Kinase B1 (LKB1), encoded by the STK11 gene, is a key intracellular regulator of metabolic stress and is considered a putative tumor suppressor in some cancers. However, we have demonstrated that LKB1 is intact and required for EOC cell viability and growth in an in vitro spheroid model of ovarian cancer metastasis. We propose that LKB1 signaling enables malignant EOC cells to maintain viability and survive in metabolically challenging environments like that encountered during intraperitoneal metastasis. To further investigate the therapeutic potential of targeting LKB1 activity in metastatic EOC, we generated STK11-knockout cell lines—normal FT190 cells, and EOC cell lines OVCAR8, HeyA8, and iOvCa147—using CRISPR technology. STK11KO resulted in decreased malignant properties of EOC cells in vitro, including clonogenicity and anchorage-independent growth; however, loss of LKB1 in FT190 cells had no effect on cell proliferation, clonogenicity, or anchorage-independent growth, indicating LKB1 does not likely act as a tumor suppressor in EOC. Loss of LKB1 sensitized EOC cells to the growth-inhibiting effects of specific metabolic stresses. OVCAR8-STK11KO cells were more sensitive to nutrient deprivation in adherent culture, and to carboplatin and paclitaxel treatment in spheroid culture, as compared with OVCAR8 cells. Among the three EOC cell lines, STK11KO yielded variable sensitivity to inhibition of mitochondrial ATP production via oligomycin treatment. Interestingly, STK11KO did not affect induction of AMP-activated protein kinase (AMPK) phosphorylation in EOC spheroids, indicating that metabolic stress signaling to support EOC cell survival in spheroids during metastasis may occur via alternative pathways. In support of our previous knockdown results, EOC spheroids completely lacking LKB1 had markedly impaired growth in suspension culture compared to parental cell controls. In contrast, FT190 spheroids exhibited rapid cell attrition in spheroid culture regardless of LKB1 status. These results indicate that LKB1 may be specifically required in EOC cells to evade anoikis during metastatic spread. Finally, to test directly whether loss of LKB1 activity affects the metastatic potential of EOC cells, we performed intraperitoneal injections of OVCAR8-STK11KO and HeyA8-STK11KO cells with their respective parental cell controls. Loss of LKB1 in both aggressive EOC cell lines exhibited a dramatic reduction on tumor burden. STK11KO significantly decreased the establishment of large, solid tumor masses, reduced adhesion of OVCAR8 tumor nodules, and even changed the metastatic trajectory of HeyA8 cells with evidence of tumor cell growth only as a thin layer on peritoneal walls. Histologic analysis revealed evidence of extensive necrosis in STK11KO tumors, which was likely the major contributor to reduced tumor burden. These results strongly indicate that loss of LKB1 activity abrogates the metabolic stress response necessary during EOC metastasis both in spheroids and establishment of intraperitoneal tumors. Overall, LKB1 or its AMPK-independent signaling mediators represent unique yet very potent therapeutic vulnerabilities in metastatic EOC. Citation Format: Adrian Buensuceso, Yudith R. Valdes, Rene Figueredo, Gabriel E. DiMattia, Trevor G. Shepherd. The metabolic stress mediator LKB1 is required for ovarian cancer metastasis. [abstract]. In: Proceedings of the AACR Conference: Addressing Critical Questions in Ovarian Cancer Research and Treatment; Oct 1-4, 2017; Pittsburgh, PA. Philadelphia (PA): AACR; Clin Cancer Res 2018;24(15_Suppl):Abstract nr A12.
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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) | 0.005 | 0.002 |
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".