Changes in Gut Microbiome Associated With Co-Occurring Symptoms Development During Chemo-Radiation for Rectal Cancer: A Proof of Concept Study
| Autor: | Velda J. González-Mercado, Maureen Groer, Anujit Sarkar, Gail D'Eramo Melkus, Larry J. Dishaw, Jean Lim, Lawrence Berk, Susan C. McMillan, Farrah Sepehri, Leorey N. Saligan, Wendy A. Henderson |
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| Rok vydání: | 2020 |
| Předmět: |
Oncology
Male Sleep Wake Disorders medicine.medical_specialty Colorectal cancer Proof of Concept Study 03 medical and health sciences 0302 clinical medicine Co occurring Predictive Value of Tests Internal medicine medicine Humans Depression (differential diagnoses) Fatigue Aged Special Section Articles Sleep disorder Research and Theory Bacteria business.industry Depression Rectal Neoplasms Chemoradiotherapy Middle Aged medicine.disease Chemo radiation Gut microbiome 030227 psychiatry Gastrointestinal Microbiome Female business 030217 neurology & neurosurgery |
| Zdroj: | Biol Res Nurs |
| ISSN: | 1552-4175 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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