Neoadjuvant chemoradiation (NCRT) for esophageal (EC) or gastroesophageal junction cancer (GEJC): A Canadian single institution real-world experience using the CROSS trial regimen.
Bibliographic record
Abstract
25 Background: NCRT followed by surgery per the CROSS trial regimen is an accepted standard of care in the treatment of EC and GEJC. When treatments are used in the real-world setting, there are often patient, treatment and potential outcome differences compared to the original clinical trial. The study aim was to assess the real-world application and outcomes of the CROSS trial protocol. Methods: A retrospective chart review was undertaken of 83 patients (pts) with EC or GEJC who were treated from June 2012 to June 2018 with CRT. 65 pts were with NCRT intent to proceed to surgery. Pts’ demographics, clinical, pathological, treatment and surgical characteristics were assessed and exploratory analyses were conducted to review these factors and outcomes. Analyses included Chi-square, t-tests and Kaplan-Meier. Results: For pts who underwent NCRT (n = 65): median age was 68 yrs (range 52-80), male 79%, adenocarcinoma 82%, median (m) tumor length 5 cm, GERD 43%, clinical stage II/III 95%, and BMI > 30 in 37%. 80% completed CRT with RT ≥ 41.4 Gy; of these 88% had ≥ 50.4 Gy. Delay/interruption in chemotherapy occurred in 46% and in RT 37%. Pts who underwent surgery were younger (p = 0.04) and weighed more (p = 0.05). mOS was 37 months (M) v 14 M in those who started CRT ≤ 8 weeks (w) from diagnosis v > 8 w (p = 0.10). The median time from CRT to surgery was 8.9 w. 40 pts had surgery with a complete response in 38% and a R0 resection in 98%. Postoperative major and minor complications occurred in 67%. Those < 75 yrs v ≥ 75 yrs had a mOS of 32 M v 15 M respectively (log rank p = 0.46). 25 pts did not get surgery; 28% was due to death/progression. Pts who proceeded to surgery had a mOS of 35 M v 12 M in pts who did not go to surgery (log rank p = 0.002). Further correlative outcome data will be presented. Conclusions: Real-world data in our center showed patient, tumor and treatment differences compared to the CROSS trial protocol. Despite the broadening of eligibility and treatment criteria, survival in a single institution setting is maintained with trimodality therapy compared to NCRT alone. Real-world data is of value in the assessment of therapeutic validity of clinical trial data.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".