The impact of HER2 positivity on survival in metastatic gastric and GEJ cancer in the province of British Columbia: An updated analysis.
Bibliographic record
Abstract
e14568 Background: HER2 positive gastric (GC) and GEJ adenocarcinoma has been associated with a worse survival outcome. This study examines the survival rate of patients with metastatic HER2 positive GC and GEJ adenocarcinomas in the province of BC. Methods: Formalin fixed embedded tissue from patients (pts) with resected gastric or GEJ adenocarcinoma from 2004-2011 were identified retrospectively through the BC Cancer Agency registry and prospectively for pts with a new diagnosis of advanced disease. Biopsies and resection samples were analyzed via previously validated methods. IHC scores of 3 were considered positive (+), 2 were equivocal and 0 or 1 were negative (-). A 10% cut-off was used to determine positive samples. Equivocal staining was considered positive via FISH or SISH with a ratio of > 2.2 considered amplified. Patient characteristics were abstracted to an anonymized database. Kaplan-Meier curves were calculated to evaluate overall survival from time of diagnosis or relapse to death for pts with HER2 + or - disease. Results: 179 of 304 pts were identified with metastatic or relapsed gastric or GEJ adenocarcinoma without Traztumumab treatment. 21 (12%) pts were HER2 + either by IHC, FISH or SISH. Refer to the table for characteristics of both groups. Median survival was not significantly different among HER2 + and - pts (4.0 mo vs. 7.3 mo, p=0.089). Conclusions: The rate of HER2 positivity is similar to that seen in trial data. HER2 positivity trends to a worse prognosis but was not significant in this study. [Table: see text]
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".