Capecitabine (X) compared to X + erlotinib (E) as first-line treatment in patients (pts) with metastatic colorectal cancer (MCRC): Interim efficacy results from a randomized phase II study
Bibliographic record
Abstract
14560 Background: The oral fluoropyrimidine X (Xeloda®) has efficacy, safety and convenience benefits vs. 5-FU/LV in adjuvant / first-line CRC. E (Tarceva®) inhibits epidermal growth factor receptor (EGFR), which predicts poor prognosis. A randomized open-label phase II study was performed to establish activity of X alone vs. X + E (XE) in first-line. Methods: Pts (ECOG PS 0–2 and/or elevated LDH) with MCRC not eligible for immediate surgical metastatectomy and unwilling/unable to undergo combination chemotherapy were randomized to X (1000mg/m2/d bid d1–14 q3w) or XE (X 1000mg/m2/d bid d1–14 q3w + E 150mg/d). A third arm (E alone) was included but dropped after 13 pts, following safety committee review of progressions at first CT scan. Primary endpoint: time to progression (TTP). Results: 59 pts (median age 65y, range 46–84; 44 M, 15 F) have been accrued (X=21; XE=25; E=13). Mean time on study: 3.8 months (range 0.2–12). 9 pts are on active treatment, 21 pts on follow-up and 29 pts have died. Interim efficacy results are available for 50 pts (X n=15; XE n=22, E n=13). There were no significant differences in response rate, median TTP (4.9 vs. 9.2 months) and median overall survival (18.2 vs. 15.1 months) for X vs. XE. Grade 3 adverse events (AEs) with X were diarrhea, nausea, hand-foot syndrome (HFS), angina, dyspnea (all 5%). Corresponding rates of grade 3 AEs with XE were diarrhea (20%), fatigue (16%), stomatitis (12%), HFS (8%), vomiting (8%), dehydration (8%), thrombosis, weight loss, decreased appetite, dry eyes, headache, anxiety, abdominal pain, anorexia, hyponatremia (all 4%). The only grade 4 AEs were skin rash (4%) and subjective weakness (4%) - both XE. Conclusions: Interim results indicate that XE is at least as effective as X alone in first-line MCRC. Recruitment is continuing and further follow-up may help fully determine the potential benefits of adding E to X. [Table: see text] No significant financial relationships to disclose.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".