Anesthetic Technique and the Cytokine and Matrix Metalloproteinase Response to Primary Breast Cancer Surgery
Bibliographic record
Abstract
BACKGROUND: Breast cancer is the most common malignancy in women. Surgery remains the most effective treatment. Several perioperative factors, including the surgical stress response, many anesthetics and opioids, adversely affect immune function. Regional anesthesia-analgesia attenuates perioperative immunosuppression. We tested the hypothesis that patients who receive combined propofol/paravertebral anesthesia-analgesia (propofol/paravertebral) exhibited reduced levels of protumorigenic cytokines and matrix metalloproteinases (MMPs) and elevated levels of antitumorigenic cytokines compared with patients receiving sevoflurane anesthesia with opioid analgesia (sevoflurane/opioid). METHODS: Primary breast cancer surgery patients were randomized to propofol/paravertebral (n = 15) or sevoflurane/opioid (n = 17) and preoperative and postoperative serum concentrations of 11 cytokines (interleukin 1β [IL-1β], IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12p70, IL-13, interferon γ, and tumor necrosis factor α) and 3 MMPs (MMP-1, MMP-3, and MMP-9) were measured. RESULTS: Treatment groups were well balanced for age, weight, surgical procedure, and cancer pathologic diagnosis. Pain scores were lower at 1 and 2 hrs with paravertebral analgesia compared with morphine but similar at 24 hrs. Patients in the propofol/paravertebral group showed a greater percentage decrease in postoperative compared with preoperative IL-1β (median [quartiles], -26% [-15% to -52%] versus -4% [-14% to 2%], P = 0.003), a significant attenuation in elevated MMP-3 (2% [-39% to 12%] versus 29% [23%-59%], P = 0.011) and MMP-9 (26% [13%-54%] versus 74% [50%-108%], P = 0.02), and a significant increase in IL-10 (10% [5%-33%] versus -15% [20% to -2%], P = 0.001) compared with sevoflurane/opioid group. No significantly different changes in IL-2, IL-4, IL-5, IL-6, IL-8, IL-12p70, IL-13, interferon γ, tumor necrosis factor α, or MMP-1 were observed between the 2 groups. CONCLUSIONS: Propofol/paravertebral anesthesia-analgesia for breast cancer surgery alters a minority of cytokines influential in regulating perioperative cancer immunity. Further evaluation is required to determine the significance of these observations.
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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 | 0.000 | 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) | 0.002 | 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".