Perioperative chemotherapy with bevacizumab (BV) for liver metastases (LM) in colorectal cancer (CRC): McGill University pilot study
Bibliographic record
Abstract
e15027 Background: Colorectal liver metastases treated with perioperative chemotherapy were previously shown to increase progression free survival. Given the survival benefit of bevacizumab in metastatic CRC, the aim of this study was to assess the efficacy and safety of bevacizumab based chemotherapy in the perioperative setting. Methods: In this single arm prospective pilot study, patients with resectable LM eligible to receive perioperative BV and chemotherapy were included. Kaplan Meier survival analysis was used to calculate overall survival and progression free survival. Results: A total of 60 patients were recruited, 41 male, with an average age of 55. Forty-three patients had synchronous LM. All but seven patients received pre and post-operative BV-based chemotherapy (34/60 oxaliplatin based, 22/60 CPT-11 based and 4/60 CPT-11 and oxaliplatin based). All patients underwent hepatectomy 6–8 weeks post last dose of BV. Overall response rate was 80% (48/60), 4pt with stable diseaase; 10% had a complete pathological response and 27% had no evidence of disease post hepatectomy with a median follow up of 33 months.8 patients progressed prior to surgery. Overall survival (OS) rates at 12, 24, 36 and 48 months were: 100%, 86%, 74% and 66% respectively and 5 year median survival of 55%. Progression free survival (PFS) was 14 months. Subgroup analysis of the data according to the chemotherapy pts received showed that PFS in the CPT-11 and the oxaliplatin arm were 13 and 15 months respectively. Most of the adverse events recorded were associated with the post-operative period and included wound healing (8pts), infections (2pts) and thromboemblic (6pts) disease. No sudden deaths or bowel perforations were reported. Conclusions: Bevacizumab-containing chemotherapy regimens in the peri-operative setting is effective in patients with colorectal liver metastases. Our 80% response rate and 10% complete pathological response is one of the highest reported and warrants further investigation in phase III trials. [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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".