Molecular and morphological correlation in gastrointestinal stromal tumours (GISTs): an update and primer
Bibliographic record
Abstract
Gastrointestinal stromal tumours (GISTs) are a commonly encountered tumour in routine practice. In the main, the morphology of spindle, epithelioid or mixed are well recognised along with mutations of c-kit However, there are other genes that are mutated resulting in characteristic clinicopathological correlations. GISTs harbouring platelet-derived growth factor receptor α (PDGFRα) gene mutations lead to a typical morphological constellation of findings: gastric and omental location, gross tumour that is cystic and haemorrhagic, composed of epithelioid, plasmacytoid cells exhibiting pleomorphism, low mitotic count and containing characteristic giant cells with peripherally placed nuclei. These cells are set in a myxoid stroma containing several mast cells. In addition, perivascular/intratumoural hyalinisation is often seen. These tumours are CD117 and DOG-1 positive. GISTs with SDH mutations are multinodular/bilobed/dumb-bell shape tumour masses with mucosal ulceration and histologically characterised by fibrous bands around and within nodules of epithelioid or mixed epithelioid/spindle cells. Lymphovascular invasion with lymph node metastases are usual. Immunohistochemically, the GISTs are CD117, DOG-1 positive, SDHA negative (if SDHA mutated), SDHA positive (if SDHA intact) and SDHB negative. BRAF and NF-1 mutated GISTs do not have any characteristic morphological features.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".