Abstract PR002: Identification of metabolic adaptation mechanisms that drive anoikis suppression and metastasis in Ewing sarcoma
Bibliographic record
Abstract
Abstract Metastasizing cancer cells must overcome anoikis (detachment-induced death) prior to colonization in distant organs. Ewing sarcoma (EwS) is a highly aggressive bone and soft tissue cancer that mainly occurs in children, adolescents, and young adults. EwS patients with metastatic disease have a 5-year survival rate of only 15-20%, which has not changed for decades. Our recent study identified that EwS cells are highly dependent on augmented cysteine metabolism and glutathione biogenesis in anoikis suppression and metastasis through the IL1RAP protein. Mechanistically, IL1RAP binds the cell surface system Xc- transporter to enhance exogenous cystine uptake, thereby replenishing cysteine and glutathione antioxidant pools. Moreover, under cystine depletion, IL1RAP induces cystathionine gamma lyase (CTH) to activate the transsulfuration pathway for de novo cysteine synthesis. Furthermore, we show that inhibitors of Glutaminase (GLS) and Glutamate cysteine ligase (GCL), two critical enzymes for glutamate and glutathione synthesis, synergistically induce massive anoikis and ferroptosis in EwS cells. However, as a single agent, GLSi or GCLi only had moderate effects on EwS survival. Our global proteomic analysis identified dramatic adaptive changes in response to GLSi and GCLi, which may facilitate EwS cell survival and metastasis upon blockade of these metabolic processes. To further pinpoint critical regulators of anoikis and metastasis, we found that anokis suppression is governed by EWS-FLI1, a driver oncogene in EwS, and depletion of EWS-FLI1 triggered anoikis and led to cell death of EwS tumor spheroids formed in 3D cultures, whereas only a mild cytostatic effect was induced in 2D cultures. Given the predominant role of oncogenic EWS-FLI1 in anoikis suppression, we performed proteomic analysis in EwS cells +/- EWS-FLI1 depletion or gene rescue cultured under either 2D or 3D conditions prior to anoikis onset. We found that the 2D-to-3D transition induced marked global proteomic changes, suggesting a molecular reprogramming in response to 3D-induced anoikis stress that might be crucial for anoikis suppression. Moreover, a significant subset of these adaptive proteomic changes was driven by EWS-FLI1. Among these proteins, we validated that CDH11 is highly expressed in EwS compared with >1000 other human cancer cell lines, and localized on the EwS cell surface, which might be targeted via immunotherapeutic strategies. Thus, these studies provide insights into adaptive mechanisms upon perturbation of glutathione metabolism and oncogenes that drive anoikis suppression and metastasis in EwS. Citation Format: Hai-Feng Zhang, Christopher S. Hughes, Alberto Delaidelli, Yue Zhou Huang, Taras Shyp, Xiaqiu Yang, Poul H. Sorensen. Identification of metabolic adaptation mechanisms that drive anoikis suppression and metastasis in Ewing sarcoma [abstract]. In: Proceedings of the AACR Special Conference: Cancer Metastasis; 2022 Nov 14-17; Portland, OR. Philadelphia (PA): AACR; Cancer Res 2022;83(2 Suppl_2):Abstract nr PR002.
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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) | 0.001 | 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 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".