Cotargeting Ephrin Receptor Tyrosine Kinases A2 and A3 in Cancer Stem Cells Reduces Growth of Recurrent Glioblastoma
Bibliographic record
Abstract
Abstract Glioblastoma (GBM) carries a dismal prognosis and inevitably relapses despite aggressive therapy. Many members of the Eph receptor tyrosine kinase (EphR) family are expressed by GBM stem cells (GSC), which have been implicated in resistance to GBM therapy. In this study, we identify several EphRs that mark a therapeutically targetable GSC population in treatment-refractory, recurrent GBM (rGBM). Using a highly specific EphR antibody panel and CyTOF (cytometry by time-of-flight), we characterized the expression of all 14 EphR in primary and recurrent patient-derived GSCs to identify putative rGBM-specific EphR. EPHA2 and EPHA3 coexpression marked a highly tumorigenic cell population in rGBM that was enriched in GSC marker expression. Knockdown of EPHA2 and EPHA3 together led to increased expression of differentiation marker GFAP and blocked clonogenic and tumorigenic potential, promoting significantly higher survival in vivo. Treatment of rGBM with a bispecific antibody against EPHA2/A3 reduced clonogenicity in vitro and tumorigenic potential of xenografted recurrent GBM in vivo via downregulation of AKT and ERK and increased cellular differentiation. In conclusion, we show that EPHA2 and EPHA3 together mark a GSC population in rGBM and that strategic cotargeting of EPHA2 and EPHA3 presents a novel and rational therapeutic approach for rGBM. Significance: Treatment of rGBM with a novel bispecific antibody against EPHA2 and EPHA3 reduces tumor burden, paving the way for the development of therapeutic approaches against biologically relevant targets in rGBM. Cancer Res; 78(17); 5023–37. ©2018 AACR.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".