Ramucirumab and paclitaxel in second or greater lines of therapy in patients with HER2-positive gastroesophageal cancer: a single center study
Bibliographic record
Abstract
BACKGROUND: Human epidermal growth factor receptor 2 (HER2) overexpression is present in approximately 20-25 of patients with advanced gastroesophageal adenocarcinoma (GEA). Upon progression on 1st line therapy, ramucirumab and paclitaxel (rampac) is given in ≥2 line setting regardless of HER2 status. We aim to assess whether ramucirumab is associated with better survival in HER2 positive(+) pts compared to those with HER2(-) disease. METHODS: We reviewed all consecutive adult patients with metastatic/unresectable GEA who were treated with rampac for ≥2nd line therapy at Princess Margaret Cancer Centre from 2010 to 2021. Progression free survival (PFS) and overall survival (OS) were defined as time from starting rampac to progression or death and estimated using the Kaplan-Meier method. RESULTS: There were 126 patients who received rampac following progression of 1st line chemotherapy, 96(76%) were male. The age at time of presentation and starting rampac was 59.0 ± 10.3 years and 59.9 ± 10.3 years, respectively. At the time of diagnosis, 32(25%) patients were HER2+. The majority of patients (n = 99;78%) received rampac in the 2L line setting compared to 28(22%) patients who received it in the 3rd/4th line setting. The median PFS and OS for HER2 + pts were 3.6 months and 9.4 months, respectively, which were similar to HER2- patients (median PFS = 3.6 months; median OS = 8.2 months). There was no statistically significant association between HER2 positivity and PFS (adjusted hazards ratio (HR) = 0.76, 95% confidence interval (CI) 0.48-1.22, P = .26), nor OS (adjusted HR = 0.88, 95% CI, 0.55-1.41, P = .59). CONCLUSION: Rampac remains a valid treatment option for patients who are unable to participate in trials or do not have access to further HER2-directed therapy beyond first line.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".