Predictive biomarkers of placebo response in patients with cancer: an exploratory analysis of the ABCD randomized clinical trial
Clinical Snapshot
PICO Framework
| P — Population | Patients with cancer experiencing dyspnea (n=45) |
| I — Intervention | High-dose dexamethasone |
| C — Comparator | Placebo |
| O — Outcomes | Change in dyspnea intensity (primary); association between baseline plasma cytokine levels (TNF, IL-6, IL-8, IL-10) and placebo response across 10 Edmonton Symptom Assessment System symptoms |
Bottom Line
This exploratory analysis of 45 cancer patients suggests that higher baseline inflammatory cytokine levels may predict reduced placebo response across multiple symptoms. While the research question is novel and potentially important for clinical trial design, the findings are severely limited by the small sample size, multiple comparisons without correction, and lack of validation. The study generates an interesting hypothesis that inflammation may interfere with placebo mechanisms, but these preliminary results require substantial replication in larger, adequately powered studies before any clinical application. Australian clinicians should view this as early-stage biomarker research rather than practice-changing evidence.
Key Findings
P Value: p < 0.05 for individual symptoms; p < 0.001 for day 7 combinations; p = 0.006 for day 14 combinations
Effect Size: Significant negative associations in 5/10 symptoms at day 7 and 3/10 symptoms at day 14
Primary Outcome: Negative association between baseline cytokine levels and placebo response
Nnt Or Sensitivity: Not applicable - biomarker association study
Confidence Interval: Not reported
Clinical Application
Limited by requirement for cytokine measurement and very preliminary nature of findings Relevant to Australian palliative care services; cytokine testing not routinely available through PBS; would require research setting initially Patients with cancer in palliative care settings, particularly those with dyspnea and multiple symptoms
Abstract
PURPOSE: Placebo effect is commonly observed in symptom management randomized clinical trials. However, there are currently no established predictive biomarkers of placebo response. We examined the patterns of association between placebo response and baseline plasma cytokine levels for 10 symptoms in patients with cancer. METHODS: This is an exploratory analysis of the double-blind, randomized ABCD trial, which compared high-dose dexamethasone to placebo for dyspnea treatment in patients with cancer (clinicaltrials.gov; NCT03367156). The primary outcome was change in dyspnea intensity. Four plasma cytokines (TNF, IL-6, IL-8, and IL-10) and 10 Edmonton Symptom Assessment System symptoms were measured at baseline, day 7, and day 14. Generalized additive models and exploratory analyses were used to examine the patterns of association between baseline cytokine levels and symptom responses on day 7 and day 14 in placebo and dexamethasone groups. RESULTS: This analysis included data from 45 patients. In the placebo group, we observed a significant negative association (p < 0.05) between ≥ 1 of the measured cytokines' baseline levels across multiple symptoms on day 7 (5/10 symptoms) and day 14 (3/10 symptoms), including appetite, drowsiness, nausea, and pain. Exploratory analysis revealed a negative association in the placebo group in 33/40 cytokine-symptom response combinations for day 7 (p < 0.001) and 29/40 combinations for day 14 (p = 0.006). CONCLUSION: Our preliminary findings suggest patients with high baseline cytokine levels may be less likely to report placebo response for multiple symptoms. Upon further confirmation, these findings may have implications for future clinical trial design. In this exploratory analysis, we observed that patients with cancer were less likely to report placebo response for multiple symptoms if they had higher levels of baseline cytokines. These preliminary findings have important potential implications for placebo-controlled clinical trials, including patient selection, design of interventional controls, and trial interpretation. Additionally, they invite further research on possible mechanistic links between inflammation and placebo effect.
References
- 1.Hui, D., Jennings, K., Ontai, A., Hanneman, S. K., & Bruera, E. (2026). Predictive biomarkers of placebo response in patients with cancer: an exploratory analysis of the ABCD randomized clinical trial. Supportive Care in Cancer. https://doi.org/10.1097/j.pain.0000000000000700
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