CSIG-30. EXPLORING THE ROLE OF CAPICUA (CIC) IN RESISTANCE MECHANISMS OF MEK INHIBITORS IN GLIOBLASTOMA
Bibliographic record
Abstract
Abstract Glioblastoma multiforme (GBM) is the most common and fatal primary brain tumor, resistant to conventional therapy. Despite its heterogeneous nature, a key feature of GBM is aberrant kinase signaling. Specifically, hyperactivation of receptor tyrosine kinases (RTK) and their downstream tumorigenic effectors Ras/MEK/Extracellular Signal Regulated Kinase (ERK) pathway are attributed to the aggressive nature of GBM. Capicua (CIC) is a High Mobility Group (HMG) box transcriptional repressor that directly binds to DNA and counteracts the transcription of genes typically expressed only in response to RTK activation such as oncogenic transcription factors ETV1/4/5. Hyperactive MEK/ERK signaling in GBM causes CIC degradation. The mechanism of CIC’s repressor function is not well understood, however, transcriptional repressors (like CIC) typically form co-repressor complexes to repress target genes. We discovered a novel interaction between CIC and the transcriptional regulator yin yang 1 (YY1), a context-dependent transcription factor that can repress or activate gene expression. We uncovered that 90-kDa ribosome S6 protein kinase (p90RSK), a downstream effector of ERK and a known CIC regulator, mediates the CIC/YY1 interaction. Interestingly, we found re-activation of p90RSK following MEK/ERK inhibition implicating p90RSK in the resistance mechanism of RTK/MEK/ERK inhibition in GBM. We hypothesize that p90RSK inhibition will stabilize the CIC/YY1 co-repressor complex and re-sensitize towards MEK/ERK inhibition. Patient-derived glioma stem-like cells (GSCs) were treated with increasing doses of BI-D1870 or LJI308 (p90RSK inhibitors) with and without selumetinib (MEK inhibitor) and various functional assays were performed to examine the effect of p90RSK inhibition on the CIC/YY1 complex and sensitization to MEK/ERK inhibition. Treatment with BI-D1870 and LJI308 markedly reduced viability and mRNA expression of ETV1/4/5 indicating that p90RSK inhibition may mediate CIC /YY1 DNA binding ability. Importantly, inhibiting p90RSK sensitized GSCs to MEK/ERK inhibition. These results highlight the importance of downstream p90RSK inhibition in stabilizing CIC/YY1 repressor complex function and sensitizing cells to RTK/MEK/ERK inhibition.
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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) | 0.003 | 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".