c-kit Expression and Mutational Analysis in Medulloblastoma
Bibliographic record
Abstract
The proto-oncogene c-kit is a receptor tyrosine kinase recognized to initiate essential signal transduction pathways that transmit biological signals for cellular proliferation, differentiation, and metastasis. Aberrant expression or mutation of c-kit has been shown to be involved in the pathogenesis of many cancers. Studies using imatinib mesylate (STI 571, Gleevec, Novartis, East Hannover, NJ, USA), an inhibitor of the tyrosine kinases brc-abl, c-kit, and PDGFR, have shown significant response in patients with chronic myelogenous leukemia and gastrointestinal stromal tumor. With the aim of identifying additional groups of tumors that may use the stem cell factor/c-kit pathway and, secondarily, may be responsive to imatinib mesylate treatment, we looked at the expression of c-kit in medulloblastoma. Medulloblastoma, a highly invasive primitive neuroectodermal tumor of the cerebellum, is the most common, malignant central nervous system tumor of childhood. Histologic features of medulloblastoma have failed to provide an accurate prediction of the clinical-biological behavior of these tumors. Characterizing the genetic events that play a role in the biology of these tumors may allow for molecular sub-typing and could lead to the development of novel therapeutic strategies. This study evaluated c-kit expression and mutational status in 10 medulloblastoma tumor samples. All 10 medulloblastoma tumors expressed c-kit by reverse transcriptase-polymerase chain reaction and 9 by immunohistochemical analysis. All tumor samples were screened for mutations in exons 9, 11, and 13 of the c-kit gene by direct sequencing. No sequence abnormalities were detected in these exons. These experiments lead us to the conclusion that c-kit activation in medulloblastoma is independent of mutation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".