HER2 Status in Gastric and Gastroesophageal Junction Cancer: Results of the Large, Multinational HER-EAGLE Study
Why this work is in the frame
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Bibliographic record
Abstract
Human epidermal growth factor receptor 2 (HER2) dysregulation is associated with tumorigenesis in gastric/gastroesophageal junction cancer; however, the number of patients with HER2-positive disease is unclear, possibly due to differing scoring criteria/assays. Data are also lacking for early disease. We aimed to assess the HER2-positivity rate using approved testing criteria in a large, real-life multinational population. HER2-positivity was defined as an immunohistochemistry staining score of 3+, or immunohistochemistry 2+ and HER2 amplification detected by in situ hybridization. A total of 4949 patients were enrolled and results showed that 14.2% of 4920 samples with immunohistochemistry results were HER2-positive. HER2-positivity was significantly higher in males (16.1% vs. 9.6% in females), in gastroesophageal versus stomach tumors (22.1% vs. 12.9%), in biopsy versus surgical samples (18.3% vs. 13.0%), in intestinal tumor subtypes versus diffuse (21.5% vs. 4.8%) and mixed types (21.5% vs. 8.5%) (P<0.001), in mixed versus diffuse types (8.5% vs. 4.8%), and in "other" versus diffuse types (11.7% vs. 4.8%; P=0.002). There were no significant differences between stages. Patients in the youngest age percentile had significantly lower HER2-positivity rates than patients in the remaining percentiles (9.2% vs. 15.9%, 15.7%, and 15.1%; P<0.001). HER2-positivity was highest in France (20.2%) and lowest in Hong Kong (10.4%). In conclusion, HER-EAGLE, the first study of its kind to be conducted in a large, multinational population of almost 5000 patients, gives valuable insights into the real-world HER2-positivity rate in a gastric/gastroesophageal junction cancer patient population not selected for disease stage or histology.
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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 | 0.000 |
| 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) | 0.000 | 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 it