Sorafenib Plus Irinotecan Combination in Patients With RAS-mutated Metastatic Colorectal Cancer Refractory To Standard Combined Chemotherapies: A Multicenter, Randomized Phase 2 Trial (NEXIRI-2/PRODIGE 27)
Bibliographic record
Abstract
BACKGROUND: No treatment option was available for patients with RAS-mutated (RASmt) metastatic colorectal cancer (mCRC) who progress after standard combined chemotherapies at the time of the study. After promising results in phase II, the aim of the present NEXIRI-2/PRODIGE 27 trial was to assess the 2-month non-progression rate for sorafenib (NEX) plus irinotecan (IRI), that is, NEXIRI, treatment. METHODS: ) versus NEX. Primary endpoint was the 2-month non-progression rate. Secondary endpoints included progression-free and overall survival (PFS and OS), safety, and germline cyclin D1 (CCND1) rs9344 polymorphisms analyses. RESULTS: A total of 173 patients were included, 59 in NEXIRI, 57 in IRI, and 57 in NEX arms. The 2-month non-progression rate was 52.6% (95% confidence interval [CI]: 39%-66%), 21.4% (10%-33%), and 19.3% (9%-30%) for NEXIRI, IRI, and NEX. Median PFS was 3.6 (95% CI: 2-4.2), 1.7 (1.7-1.8), and 2 (1.8-2.3) months and the median OS was 7.2 (5.8-9.4), 6.3 (4.8-8), and 5.6 (3.9-7.7) months for NEXIRI, IRI, and NEX, respectively. For NEXIRI rs9344CCND1 A/A genotype patients, OS was 19.6 months (95% CI: 4.8-not reached). Main grade 3 toxicities included neutropenia, febrile neutropenia, diarrhea, hand-foot syndrome, and hypertension. CONCLUSIONS: In patients with RASmt mCRC who progressed after standard combined chemotherapies, the results of 2-month non-progression rate and median PFS in the NEXIRI arm were in favor of an increase of the time before progression.
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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) | 0.002 | 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 | 0.003 |
| 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".