Aflibercept Plus FOLFIRI for Second-line Treatment of Metastatic Colorectal Cancer: Observations from the Global Aflibercept Safety and Health-Related Quality-of-Life Program (ASQoP)
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: The objectives of this study were to evaluate the safety profile of aflibercept and health-related quality of life (HRQL) in patients with metastatic colorectal cancer (mCRC) provided with aflibercept access before marketing authorization. PATIENTS AND METHODS: Patients received aflibercept followed by FOLFIRI (fluorouracil, leucovorin, irinotecan) on day 1 of a 2-week cycle until disease progression, unacceptable toxicity, death, or patient/investigator decision to discontinue. Treatment-emergent adverse events (TEAEs) were evaluated, and HRQL was assessed at baseline, cycle 3, and every other cycle using the European Organisation for Research and Treatment of Cancer (EORTC) QLQ-C30, EORTC QLQ-CR29, and EuroQol 5-Dimensions 3-Levels questionnaires (NCT01571284). RESULTS: Overall, 779 adult patients with mCRC, who received ≥ 1 prior oxaliplatin-based regimen and had disease progression during or following their last administration of oxaliplatin-based chemotherapy, were enrolled. At data cutoff, all patients had discontinued treatment, mainly owing to disease progression (51.7%). The most common TEAEs of any grade were diarrhea (61.6%), hypertension (48.4%), and nausea (43.3%). The most common grade 3/4 TEAEs were hypertension (24.1%), neutropenia (23.1%), and diarrhea (15.3%). Clinically meaningful changes in HRQL were reported for all measures. Most patients either had an improvement in their HRQL scores or remained stable during the treatment period based on patient-reported outcomes. CONCLUSION: The data from this study support the tolerability of the combination of aflibercept and FOLFIRI in a setting that more closely approximates real life in patients with mCRC who failed to respond to oxaliplatin-based chemotherapy, and also suggest an improvement in HRQL.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it