Response to chemotherapy in metastatic colorectal cancer after exposure to oxaliplatin in the adjuvant setting.
Bibliographic record
Abstract
AIM: Oxaliplatin with 5-fluorouracil (5-FU) and leucovorin (FOLFOX and FLOX) or capecitabine (XELOX) is the standard adjuvant treatment for colonic cancer. In metastatic disease, 5-FU/leucovorin/irinotecan (FOLFIRI) and FOLFOX are equivalent in respect to response rates, progression-free and overall survival. Little data are available to compare their efficacy after exposure to oxaliplatin-containing adjuvant chemotherapy. PATIENTS AND METHODS: We carried out a retrospective study of patients who underwent surgery and FOLFOX adjuvant chemotherapy, followed by FOLFIRI or FOLFOX for metastatic disease. Exclusion criteria were: metastatic disease at presentation and no oxaliplatin in adjuvant chemotherapy. The end-point was the overall response rate (ORR) to first-line chemotherapy for metastatic disease after three months, as assessed by computed tomography (CT). RESULTS: A total of 205 patients received FOLFOX as adjuvant treatment for colorectal adenocarcinoma between 2006 and 2010. Metastatic disease was diagnosed later in 32 cases after a median follow-up of three years (range=1-5.5 years). The median time between the beginning of adjuvant chemotherapy and onset of metastatic disease was 1.7 years (range=0.5-5.5 years). Twenty-eight patients were evaluable for effects of treatment: six patients received FOLFOX plus bevacizumab and 22 FOLFIRI plus bevacizumab. The ORR was 17% in the FOLFOX group versus 36% in the FOLFIRI group (p=0.22). This difference was not statistically significant, despite a trend in favor of FOLFIRI. CONCLUSION: Metastatic disease after exposure to oxaliplatin in the adjuvant setting tends to occur early and can be characterized by partial resistance to this agent. Despite insufficient statistical power, our results suggest that FOLFIRI may result in higher response rates than FOLFOX in this situation. However, oxaliplatin re-challenge can also lead to radiological responses and disease stabilization.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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 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".