Rescue chemotherapy using multidrug chronomodulated hepatic arterial infusion for patients with heavily pretreated metastatic colorectal cancer
Bibliographic record
Abstract
BACKGROUND: : Hepatic arterial infusion (HAI) chemotherapy delivers a high concentration of drugs both to liver metastases and to healthy liver with specific, limiting, hepatobiliary toxicities. Relevant detoxification and cellular proliferation pathways are controlled by the molecular circadian clock in normal liver but not in advanced tumors. In this article, the authors report their experience with chronomodulated HAI chemotherapy as rescue therapy in heavily pretreated patients who had metastatic colorectal cancer. METHODS: : Data from all consecutive patients with colorectal cancer liver metastases who received HAI with chronomodulated, multidrug chemotherapy regimens in the authors' center after failure on standard chemotherapy were reviewed for efficacy and safety. RESULTS: : Twenty-nine patients were treated, including 76% with liver metastasis only and 24% with liver and lung metastases. Seventy-five percent of patients had received > or =3 chemotherapy lines, including intravenous, chronomodulated chemotherapy in 59% of patients. Patients received a median of 4 HAI courses (range, 1-9 courses). The most frequent grade (according to National Cancer Institute of Canada Common Toxicity Criteria [version 3]) 3 and 4 nonhematologic toxicities were vomiting, diarrhea, abdominal pain, and fatigue. No severe hematologic or hepatic toxicities and no chemical cholangitis were reported. An objective tumor response was observed in 10 patients (34.5%), including 4 patients who subsequently underwent R0 or R1 hepatic resection. The median progression-free survival and overall survival were 4.5 months (95% confidence limits, 2.4-6.5 months) and 18 months (95% confidence limits, 5.8-30.2 months), respectively. CONCLUSIONS: : HAI chronomodulated chemotherapy had well tolerated activity in selected, heavily pretreated patients, and the authors believe it deserves to be assessed prospectively in clinical trials among patients who have less advanced disease. Cancer 2009. (c) 2009 American Cancer Society.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".