<i>In Situ</i> Analysis of Mutant EGFRs Prevalent in Glioblastoma Multiforme Reveals Aberrant Dimerization, Activation, and Differential Response to Anti-EGFR Targeted Therapy
Bibliographic record
Abstract
Aberrations in epidermal growth factor receptor (EGFR/ErbB1) are the most common oncogenic alterations in glioblastoma multiforme (GBM), the most common primary brain tumor. Interactions between wild-type (wt) and mutant EGFRs and their subsequent activation are of biologic and potential therapeutic importance in GBMs. We recently showed that in situ proximity ligation assay (PLA) allows for quantitative evaluation of EGFR dimerization and activation in intact cells. Using this in situ platform, we show the aberrant homo-/heterodimeric properties of EGFRvIII and EGFRc958 mutants, the two most common EGFR mutants in GBMs. In addition, dimer phosphoactivation status could be detected by PLA with superior signal-noise ratio (>17-fold) and sensitivity (>16-fold) than immunofluorescence-based phospho-EGFR measurements. Dimer activation analysis indicated quantitative activation differences of mutant dimers. These aberrant features were not overexpression dependent but appeared independent of cellular expression levels, suggesting inherent properties of the mutant receptors. Moreover, we observed in situ detection of EGFRwt-EGFRvIII heterodimerization in GBM specimens, supporting our cell line observations. Notably, currently used anti-EGFR therapeutics, such as cetuximab, matuzumab, and panitumumab, could effectively block EGFRwt dimerization and activation but did not equally impair EGFRvIII homodimers, EGFRwt-EGFRvIII, or EGFRvIII-EGFRc958 heterodimers. EGFRvIII appears to have intrinsic phosphoactivation independent of dimerization as matuzumab blockade of homodimerization had no effect on receptor phosphorylation levels. These data suggest differences in the dimerization-blocking efficacy of EGFR monoclonal antibodies as mutant EGFR dimer configurations prevalent in GBMs can evade blockade by anti-EGFR treatments. Further studies are warranted to evaluate whether this evasion contributes to poor therapeutic response or resistance.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| 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) | 0.000 | 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".