Changes in Gut Microbiome Associated With Co-Occurring Symptoms Development During Chemo-Radiation for Rectal Cancer: A Proof of Concept Study

Author:

González-Mercado Velda J.12ORCID,Henderson Wendy A.3ORCID,Sarkar Anujit4,Lim Jean5,Saligan Leorey N.6,Berk Lawrence7,Dishaw Larry8,McMillan Susan2,Groer Maureen2ORCID,Sepehri Farrah2,Melkus Gail D’Eramo1

Affiliation:

1. NYU Rory Meyers College of Nursing, New York, NY, USA

2. College of Nursing, University of South Florida, Tampa, FL, USA

3. College of Nursing, University of Connecticut, Storrs, CT, USA

4. College of Nursing and College of Public Health, University of South Florida, Tampa, FL, USA

5. Rosenstiel School of Marine and Atmosphereic Science, University of Miami, FL, USA

6. Symptom Science Center, Symptom Biology Unit, Division of Intramural Research, NINR, NIH, DHHS, Bethesda, MD, USA

7. College of Medicine Radiology, University of South Florida, Tampa, FL, USA

8. Department of Pediatrics, Molecular Genetics Children’s Research Institute, University of South Florida, St. Petersburg, FL, USA

Abstract

Purpose: To examine a) whether there are significant differences in the severity of symptoms of fatigue, sleep disturbance, or depression between patients with rectal cancer who develop co-occurring symptoms and those with no symptoms before and at the end of chemotherapy and radiation therapy (CRT); b) differences in gut microbial diversity between those with co-occurring symptoms and those with no symptoms; and c) whether before-treatment diversity measurements and taxa abundances can predict co-occurrence of symptoms. Methods: Stool samples and symptom ratings were collected from 31 patients with rectal cancer prior to and at the end of (24–28 treatments) CRT. Descriptive statistics were computed and the Mann-Whitney U test was performed for symptoms. Gut microbiome data were analyzed using R’s vegan package software. Results: Participants with co-occurring symptoms reported greater severity of fatigue at the end of CRT than those with no symptoms. Bacteroides and Blautia2 abundances differed between participants with co-occurring symptoms and those with no symptoms. Our random forest classification (unsupervised learning algorithm) predicted participants who developed co-occurring symptoms with 74% accuracy, using specific phylum, family, and genera abundances as predictors. Conclusion: Our preliminary results point to an association between the gut microbiota and co-occurring symptoms in rectal cancer patients and serves as a first step in potential identification of a microbiota-based classifier.

Funder

National Institute of Nursing Research

Publisher

SAGE Publications

Subject

Research and Theory

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