A phase II study of capecitabine, irinotecan, and bevacizumab (XELIRI-A) in patients (pts) with previously untreated metastatic colorectal cancer (mCRC)
Bibliographic record
Abstract
e15019 Background: Capecitabine (XEL), irinotecan (IRI) and bevacizumab (A) are all active agents in the treatment of mCRC. However, combining these agents has proven to be problematic due to overlapping toxicities. Optimal dosing strategies for this combination remain unclear. This study prospectively evaluated toxicity and efficacy of the XELIRI-A combination with dose modification. Methods: This was a single-institution, open-label phase II clinical trial. Eligible pts include those with previously untreated metastatic CRC, adequate organ function and ECOG performance status 0–2. IRI (200 mg / m2) and A (7.5 mg / kg) were given on day 1, and XEL (1000 mg / m2 p.o. BID) was given on days 1–14 of every 21-day cycle. The dose of XEL was reduced to 750 mg / m2 BID for pts age ≥ 65. The primary endpoint was progression-free survival (PFS). Secondary endpoints included response rate, time to progression, overall survival and toxicity. Results: 50 pts (ECOG PS 0:1 = 27:23; male:female= 34:16) were enrolled over 19 months. Median age was 58 (range: 35–72). 7 pts had prior adjuvant chemotherapy. A total of 360 cycles were administered, with a median of 6 (range: 1–16). To date, 20 confirmed PR, 3 unconfirmed PR, and 20 SD by RECIST criteria were observed (ORR= 40%, disease control rate 86%). The median PFS was 11.1 months (95% CI: 9.2 months - not reached), and the 1-year progression-free rate was 49%. 7 pts have gone on to have metastatectomy. The most frequently reported related grade 3 or 4 adverse events were neutropenia (6), hand-foot syndrome (6), and diarrhea (5). One death was seen on study, and 1 pt had treatment-emergent grade 3 hypertension. Conclusions: XELIRI-A at doses studied appears to be well- tolerated. Results are favorable compared to those from previous studies. XELIRI-A at reduced doses is safe and effective as first-line treatment for mCRC. [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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".