Predictive biomarkers of placebo response in patients with cancer: an exploratory analysis of the ABCD randomized clinical trial

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.

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Publication Details

Journal
Supportive Care in Cancer
Published
2026-04-22
DOI
https://doi.org/10.1007/s00520-026-10689-9
Primary Topic
Pain Management and Placebo Effect
Type
article
Field-Weighted Citation Impact
0.00

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article

Predictive biomarkers of placebo response in patients with cancer: an exploratory analysis of the ABCD randomized clinical trial

Kristofer Jennings, Sandra K. Hanneman, David Hui, Amy Ontai et al.
Supportive Care in Cancer
Pain Management and Placebo Effect
article

Predictive biomarkers of placebo response in patients with cancer: an exploratory analysis of the ABCD randomized clinical trial

Kristofer Jennings, Sandra K. Hanneman, David Hui, Amy Ontai, Eduardo Bruera
article en

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.

Supportive Care in CancerVol. 34(5)
The University of Texas MD Anderson Cancer Center (US), The University of Texas Health Science Center at Houston (US)
National Institutes of Health, National Cancer Institute
Good health and well-being
Openalex Percentile: Top 7%
Pain Management and Placebo Effect
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