Conversion from unresectable to resectable liver metastases in real-world patients with liver-only metastatic colorectal cancer (mCRC) treated with FOLFOXIRI plus bevacizumab: The Conversion trial.
Bibliographic record
Abstract
TPS147 Background: Patients with mCRC generally have a limited life expectancy, however, a small number of patients with liver-only mCRC could be cured following metastasectomy. In highly selected patients with mCRC, FOLFOXIRI (5FU, oxaliplatin, and irinotecan) plus bev results in high response rates. However, very limited evidence is available about efficacy of this regimen in real-world patients with liver-only mCRC. Furthermore, there is paucity of biomarkers that predict liver metastasectomy in such patients. The current study aims a) to evaluate rate of conversion from unresectable to resectable liver metastases in real-world patients with liver-only mCRC following FOLFOXIRI-bev, b) to identify predictive markers including an early PET-FDG response that correlate with curative surgery, & c) to determine disease control rate, overall survival, quality of life, treatment toxicities, and cost-effectiveness of surgery. Methods: In this pragmatic phase 2 study, 37 patients with liver-only unresectable mCRC who are deemed eligible for FOLFOXIRI-bev by their oncologist will be recruited at the two major cancer centers in Saskatchewan. Patients will receive FOLFOXIRI-bev every two weeks for a total of 12 cycles and will undergo periodic imaging tests. The resectability of liver metastases will be determined by a multidisciplinary team. For those patients who are not able to undergo a curative surgery, a doublet chemotherapy regimen ±bev will be continued at the discretion of treating oncologist. . The prognostic and predictive value of mutations in specific genes involved in cell proliferation, cell death resistance, angiogenesis, and invasion in colorectal cancer along with the relationship between the abundance and characteristics of exRNA and conversion rate and survival will be assessed. Logistic regression and Cox proportional analyses will be performed to assess correlation between an eight-week FDG-PET/CT response to chemotherapy and other biomarkers and rate of removal of metastases and survival, respectively. This pragmatic study will help to determine conversion rate in real-world patients with FOLFOXIRI plus bev and role of early FDG-PET/CT scan response and other biomarkers in predicting metastasectomy along with cost-effectiveness of this approach. Clinical trial information: NCT03401294.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".