Successes and Challenges in Translational Research: The Development of Targeted Therapy for Gastrointestinal Stromal Tumours
Bibliographic record
Abstract
Gastrointestinal stromal tumors (GISTs) are mesenchymal neoplasms that most commonly affect the stomach or small intestine, but that can occur anywhere within the gastrointestinal tract. The annual incidence of GISTs is estimated to be 10 to 20 cases per million. Traditionally, the only effective treatment was surgical resection, and recurrences were common even with complete removal of tumor. Systemic therapy with standard cytotoxic chemotherapeutic agents was completely ineffective. A series of exciting laboratory developments led to the discovery that the small molecule tyrosine kinase inhibitor STI571 (imatinib mesylate) has significant clinical activity in GISTs, representing one of the first therapeutic uses of a targeted agent directed against a solid tumor. In this article we will describe the key steps that led to the initial clinical trials of imatinib in GISTs, and we will also discuss the process of incorporating this novel therapy into mainstream oncologic practice.
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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 | 0.105 | 0.052 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.011 | 0.017 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.008 | 0.014 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".