Assessment of <i>HER2</i> gene amplification in adenocarcinomas of the stomach or gastroesophageal junction in the INT-0116/SWOG9008 clinical trial.
Bibliographic record
Abstract
4010 Background: Trastuzumab has been approved for treatment of patients with HER2-positive metastatic gastric carcinoma; however, relatively little is known about the role of HER2 in the natural history of this disease. Methods: Patients enrolled in the INT-0116/SWOG9008 phase III gastric cancer clinical trial (n=559) were retrospectively evaluated for HER2 gene amplification by fluorescence in situ hybridization (FISH)(n=258), overexpression by immunohistochemistry (IHC)(n=148) and HER2 amplification by silver-enhanced in situ hybridization (n=77) based on availability of tissue specimens. The purpose of the original clinical trial was to evaluate the benefit of post-operative 5-fluorouracil/leucovorin plus radiation therapy compared to surgery alone. Results: HER2 gene amplification rate by FISH was 10.9% in tumor tissue from 258 patients evaluated. HER2 status determined by FISH was 92% concordant with SISH. HER2 overexpression rate by IHC was 12.2% among 148 patients evaluated, with 90% agreement between FISH and IHC. There was a significant interaction between HER2 status by FISH and treatment with respect to both OS (p=0.034) and DFS (p=0.020). Among patients with HER2 non-amplified cancers, treated patients had a median OS of 44 months compared to 24 months for patients in the surgery only arm (34 and 17 months respectively for DFS, p=0.003). Among 28 patients with HER2 amplified cancers, the medians for OS were 16 months in the treated arm, and 22 months in the surgery arm (p=0.55) (13 and 11 months respectively for DFS, p=0.87). We were unable to detect a statistically significant treatment benefit in this small subset of patients with HER2 amplification. HER2 amplification status was not an independent prognostic marker of OS among patients who received no postoperative chemotherapy or radiation therapy (p=0.76). Conclusions: Patients lacking HER2 amplification responded significantly to treatment as indicated by both OS and DFS.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".