HER2 Genetic Heterogeneity in Gastric Cancer
Bibliographic record
Abstract
Gastric and gastroesophageal junction (GEJ) adenocarcinomas have been shown to display significant HER2 genetic heterogeneity (GH). This is typically seen as a cluster of HER2-positive cells but can also take the form of intermingled cells, referred to a "mosaic" pattern. GH is not well defined in gastric/GEJ tumors and the "mosaic" pattern has never been studied. We sought to evaluate the frequency and distribution of the "mosaic" pattern of GH in gastric/GEJ tumors using the College of American Pathologists-endorsed breast criteria of 5% to <50% amplified nuclei. We also postulated that the lower limit of this GH definition might be seen by chance in normal gastric epithelium. A total of 360 consecutive gastric/GEJ tumors were tested for HER2 by immunohistochemistry and in situ hybridization. Individual tumor cell HER2:CEP17 ratios were calculated for each case and the percentage of tumor cells with a ratio ≥2.0 determined. In addition, 300 normal gastric epithelial cells were scored for HER2 and CEP17 signals. Overall, 265 cases (73.4%) showed GH. The percentage of amplified cells in GH cases linearly correlated with the overall HER2:CEP17 ratio. In normal gastric epithelium, a cell with an "amplified" 2:1 ratio was seen in 9.7% (29/300) of cells, thus reaching GH. The chance of "GH" in scoring 20 normal epithelial cells was 87%. We conclude that GH is very common in gastric/GEJ tumors when College of American Pathologists breast criteria are applied and the lower threshold is likely of little clinical significance due to the finding "amplified" 2:1 nuclei in normal cells.
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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) | 0.001 | 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 | 0.001 |
| 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".