Impact of adjuvant therapy in patients with a microscopically positive margin after resection for gastric and esophageal cancers
Bibliographic record
Abstract
BACKGROUND: A microscopically positive (R1) resection margin following resection for gastric and esophageal cancers has been documented to be a poor prognostic factor. The optimal strategy and impact of different modalities of adjuvant treatment for an R1 resection margin remain unclear. METHODS: A retrospective analysis was performed for patients with gastric and esophageal adenocarcinoma treated at the Princess Margaret Cancer Centre (PMCC) from 2006-2016. Electronic medical records of all patients with an R1 resection margin were reviewed. Kaplan-Meier and Cox proportional hazards methods were used to analyze recurrence free survival (RFS) and overall survival (OS) with stage and neoadjuvant treatment as covariates in the multivariate analysis. RESULTS: We identified 69 gastric and esophageal adenocarcinoma patients with a R1 resection. Neoadjuvant chemoradiation was used in 13% of patients, neoadjuvant chemotherapy in 12%, surgery alone in 75%. Margins involved included proximal in 30%, distal in 14%, radial in 52% and multiple margins in 3% of patients. Pathological staging showed 3% with stage I disease, 20% stage II and 74% stage III. Adjuvant therapy was given in 52% of R1 pts (28% CRT, 20% chemotherapy alone, 3% radiation alone, 1% reoperation). Median RFS was 14.1 months [95% confidence interval (CI), 11.1-17.2]. The site of first recurrence was 72% distant, 12% mixed, 16% locoregional alone. Median OS was 34.5 months (95% CI, 23.3-57.9) for all patients. There was no significant difference in RFS (adjusted P=0.26) or OS (adjusted P=0.83) comparing modality of adjuvant therapy. CONCLUSIONS: Most patients with positive margins after resection for gastric and esophageal cancer had advanced pathologic stage and prognosis was poor. Our study did not find improved RFS or OS with adjuvant treatment and only one patient had reresection. The main failure pattern was distant recurrence, suggesting that patients being considered for adjuvant radiotherapy (RT) should be carefully selected. Further studies are required to determine factors to select patients with good prognosis despite a positive margin, or those who may benefit from adjuvant treatment.
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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) | 0.000 | 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 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".