Bevacizumab in Combination with FOLFIRI in the First-Line Treatment of Patients with Advanced Colorectal Cancer: A Single-Institution Experience
Bibliographic record
Abstract
Introduction: Bevacizumab combined with IFL (irinotecan, bolus 5-fluorouracil, and leucovorin) has been shown to improve outcomes for patients with metastatic colorectal cancer (mCRC). However, infusional 5-fluorouracil-based combinations are now considered optimal in this setting. We analyzed the efficacy and toxicity of FOLFIRI (irinotecan, infusional 5-fluorouracil, and leucovorin)-bevacizumab in an unselected cohort of consecutive patients with mCRC. Materials and Methods: Patients with unresectable mCRC received bevacizumab 5 mg/kg and irinotecan 180 mg/m² on day 1, leucovorin 200 mg/m² on days 1 and 2, 5-fluorouracil 400 mg/m² bolus, and 600 mg/m² continuous infusion on days 1 and 2, every 14 days. Overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and safety were assessed. Results: Overall, 127 patients were included (69% male, median age 64 years); 15 patients had diabetes, 40 had hypertension, and 23 were undergoing anticoagulant/antiplatelet therapy. Median PFS was 11.0 months (95% CI 10.0-12.0); median OS was 26.0 months (95% CI 21.9-30.1). The ORR was 55.1% (95% CI 46.3-63.6%), with 12 complete responses, 58 partial responses, and 44 patients with stable disease. Salvage surgery was performed in 31 patients (24%), including 23 with liver metastases and one with lung metastases. Grade 3/4 toxicities included neutropenia (17%), vomiting (6%), and diarrhea (17%); grade 3/4 bevacizumab-related toxicities included hypertension (2%), hemorrhage (2%), and venous (7%) and arterial thromboembolic events (5%). Conclusion: FOLFIRI-bevacizumab was active and tolerable in this cohort of unselected patients with mCRC, resulting in a high surgical rescue rate and prolonged survival.
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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) | 0.001 | 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".