Molecular genetic analysis of the hepatocyte growth factor/MET signaling pathway in pediatric medulloblastoma
Bibliographic record
Abstract
The hepatocyte growth factor (HGF)/MET pathway plays a critical role in the development of the nervous system and has been implicated in medulloblastoma pathogenesis. Recent studies have shown a role for gene amplification of activators of this pathway, as well as silencing of its inhibitors in medulloblastoma pathogenesis. We analyzed exon array data from a cohort of 103 primary medulloblastomas to show that HGF/MET pathway elements are dysregulated in tumors compared to normal cerebellum. To determine if mutation of HGF/MET pathway genes is a mechanism for pathway dysregulation, we conducted a mutational analysis by exon resequencing of three key components of this pathway, including serine protease inhibitor Kunitz-type 1 (SPINT1), serine protease inhibitor Kunitz-type 2 (SPINT2), and MET, in 32 primary human medulloblastoma specimens. From this analysis, we identified multiple coding synonymous and nonsynonymous single nucleotide polymorphisms in these genes among the 32 tumor samples. Interestingly, we also discovered two unreported sequence variants in SPINT1 and SPINT2 in two tumors that resulted in Arginine to Histidine amino acid substitutions at codons 418 and 233, respectively. However, conservation assessment and functional assays of these two variants indicate that they involve nonconserved residues and that they do not affect the function of SPINT1 and SPINT2 as tumor suppressor genes. In conclusion, our data suggest that mutation alone plays a minor role in causing aberrancies of the HGF/MET pathway in medulloblastoma in comparison with other malignancies such as breast, hepatocellular, renal, and lung carcinomas.
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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 | 0.000 | 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 | 0.000 |
| 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".