Clinicopathological features and treatment outcomes of young patients with gastric and esophageal cancers.
Bibliographic record
Abstract
e16577 Background: Gastric and esophageal (GE) cancers most commonly occur in older adults in their 60’s.However, there are inconsistent reports about prognosis in adolescent and young adult (AYA) pts, and treatment patterns and outcomes in this population have not been well characterized. Methods: A retrospective analysis was performed for AYA (age 18-40 years) pts with histologic diagnosis of GE cancers who presented to Princess Margaret Cancer Centre from 2008 to 2016. The Kaplan-Meier method was used to analyze progression free (PFS) and overall survival (OS). Results: We identified 57 AYA GE cancer pts (30 gastric, 27 esophageal). Baseline features included: median age 35 years, 51% female (70% in gastric, 30% in esophageal), 82% with Eastern Cooperative Oncology Group performance status 0-1, 82% Charlson Comorbidity Index 0, 54% stage IV. For gastric pts, 53% had diffuse subtype and 47% had signet ring adenocarcinoma. Most had negative family history (77%). Curative intent and palliative treatment was used in 23 (40%) and 34 pts (60%) respectively. In curative pts, 48% had neoadjuvant therapy, 52% had upfront surgery. Of pts who underwent curative resection, 62% had pT3/T4 and 38% had pN2/N3 disease; 5-year OS rate was 37% (95% CI 20-67). Of the palliative pts, 91% received systemic therapy. First-line regimen included triplet (81%) and doublet chemotherapy (13%), administered for a median of 6 cycles. Median PFS was 7.4 months. Second- and third-line treatments were administered in 14 and 3 pts respectively, 1 pt was treated beyond third-line. Median OS in palliative pts was 12.1 months (95% CI 8-21.3). Conclusions: Our gastric AYA pts had increased female predominance and diffuse histology. Many AYA pts had advanced GE cancer at diagnosis, with over half of pts presenting with metastatic disease. In both the curative and palliative setting, AYA pts did not appear to have better survival outcomes despite having few comorbidities, suggesting they may have more aggressive biology.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".