A Designer Peptide to Treat Glioblastoma by Targeting Cancer-neuron Interaction
Bibliographic record
Abstract
Glioblastoma (GBM) is the most common and malignant adult primary brain tumor with patient survival of around 15 months. Temozolomide (TMZ) is the only chemotherapy drug approved by U.S. Food and Drug Administration (FDA) to treat early-diagnosed GBM. It only lengthens patient survival by 2.5 months with more than 50% of patients displaying intrinsic or adaptive resistance. Thus, there is an urgent need to identify novel therapeutic targets to treat GBM. Recent studies demonstrated that neuronal activities promote GBM initiation, proliferation, and invasion. Reciprocally, GBM cells remodel the synaptic constituency and induce hyperactivity of surrounding neurons, thereby creating a pro-tumorigenic microenvironment. These interactions between neurons and glioma cells underlie tumor progression. Thus, targeting cancer-neuron interactions to identify therapeutic opportunities is emerging as an area of intense study.I identified that EAG2 and Kvβ2 are highly expressed at the GBM-brain interface conducive to GBM cell-neuron interaction. Knockdown of EAG2 and Kvβ2 significantly reduced the infiltrative behaviour of GBM cells in xenograft tumor models, resulting in reduced tumor microtube formation and neuron-GBM interaction, collectively leading to a less infiltrative GBM-brain interface. EAG2 localizes at GBM cell-neuron contacts in a Kvβ2-dependent manner. Knockdown of the EAG2-Kvβ2 complex decreased calcium transients of tumor cells, suppressed tumor growth and invasion, and extended the survival of tumor-bearing mice. EAG2 and Kvβ2 physically interact to form a potassium channel complex, their interaction is enriched in GBM due to a specific Kvβ2 isoform. EAG2-Kvβ2 interaction domain-derived designer peptide blocked EAG2-Kvβ2 interaction, prolonged survival of tumor-bearing mice with no detectable toxicity on normal tissues. Single-cell RNA sequencing revealed that a group of GBM cells that closely associate with neurons are highly sensitive to the designer peptide. Neurons upregulate chemoresistant genes in GBM cells to promote TMZ resistance in an EAG2-Kvβ2-dependent manner. Moreover, designer peptide possesses robust efficacy in treating TMZ-resistant GBM.My study uncovered the EAG2-Kvβ2 complex as a unique GBM vulnerability and developed a first-in-class designer peptide to disrupt this protein-protein interaction in GBM treatment. These findings may have profound implications to develop next-generation therapeutics to benefit GBM patients.
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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 | 0.001 |
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".