What does this research mean for the field?

Specific gut microbiome genera are significantly associated with the severity of psychoneurological symptoms, such as fatigue and pain, in patients receiving immune checkpoint inhibitors for melanoma. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To characterize changes in psychoneurological symptoms over 12 weeks and evaluate their associations with gut microbiome composition in cancer patients initiating immune checkpoint inhibitors.

September 6, 2026Oncology nursing forum

Longitudinal Analysis of Psychoneurological Symptoms and the Gut Microbiome in Patients With Melanoma Receiving Immune Checkpoint Inhibitors

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Authors

GYGee Su Yang UHUpendra P. Hegde ZGZhe Guan

Discussion

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Overview

Longitudinal study reveals links between gut microbiome shifts, fatigue, and pain in patients on immune checkpoint inhibitors, highlighting gut health as a target to manage treatment symptoms.

Key Points

To characterize changes in psychoneurological symptoms over 12 weeks and evaluate their associations with gut microbiome composition in cancer patients initiating immune checkpoint inhibitors.
Enrolled 15 patients with solid tumors (n = 9 males, n = 6 females; mean age = 70.9 years) initiating immune checkpoint inhibitor therapy at a single cancer center.
Assessed psychoneurological symptoms using self-report questionnaires and profiled gut microbial communities from stool samples via 16S rRNA sequencing at baseline and 12 weeks post-treatment.
Applied least absolute shrinkage and selection operator (LASSO) regression models to identify associations between individual symptom scores and log-ratios of genus abundance.
Average patient fatigue levels progressively increased during the 12-week treatment timeframe.
At 12 weeks post-treatment, fatigue was significantly associated with Oscillibacter (beta = -0.141), Limosilactobacillus (beta = 0.088), and Erysipelotrichaceae (beta = -0.021; all p < 0.05).
Pain severity at 12 weeks was significantly associated with Tannerellaceae (beta = -0.011), Bacteroides (beta = 0.474), and Acidaminococcus (beta = 0.193; all p < 0.05).

Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/6a9d1df228139818eab20af1 https://doi.org/10.1188/26.onf.e26535372

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September 6, 2026Oncology nursing forum

Longitudinal Analysis of Psychoneurological Symptoms and the Gut Microbiome in Patients With Melanoma Receiving Immune Checkpoint Inhibitors

View Full Paper

Ask AI

Bookmark

Authors

GYGee Su Yang UHUpendra P. Hegde ZGZhe Guan

Discussion

Member takes

Overview

Longitudinal study reveals links between gut microbiome shifts, fatigue, and pain in patients on immune checkpoint inhibitors, highlighting gut health as a target to manage treatment symptoms.

Key Points

To characterize changes in psychoneurological symptoms over 12 weeks and evaluate their associations with gut microbiome composition in cancer patients initiating immune checkpoint inhibitors.
Enrolled 15 patients with solid tumors (n = 9 males, n = 6 females; mean age = 70.9 years) initiating immune checkpoint inhibitor therapy at a single cancer center.
Assessed psychoneurological symptoms using self-report questionnaires and profiled gut microbial communities from stool samples via 16S rRNA sequencing at baseline and 12 weeks post-treatment.
Applied least absolute shrinkage and selection operator (LASSO) regression models to identify associations between individual symptom scores and log-ratios of genus abundance.
Average patient fatigue levels progressively increased during the 12-week treatment timeframe.
At 12 weeks post-treatment, fatigue was significantly associated with Oscillibacter (beta = -0.141), Limosilactobacillus (beta = 0.088), and Erysipelotrichaceae (beta = -0.021; all p < 0.05).
Pain severity at 12 weeks was significantly associated with Tannerellaceae (beta = -0.011), Bacteroides (beta = 0.474), and Acidaminococcus (beta = 0.193; all p < 0.05).

Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/6a9d1df228139818eab20af1 https://doi.org/10.1188/26.onf.e26535372

View Full Paper

Ask AI

Bookmark