Relationships among Inflammatory Biomarkers and Self-Reported Treatment-Related Symptoms in Patients Treated with Chemotherapy for Gynecologic Cancer: A Controlled Comparison

Author:

Hoogland Aasha I.1ORCID,Small Brent J.2ORCID,Oswald Laura B.1ORCID,Bryant Crystal1,Rodriguez Yvelise1,Gonzalez Brian D.1ORCID,Li Xiaoyin1ORCID,Janelsins Michelle C.3,Bulls Hailey W.4ORCID,James Brian W.5,Arboleda Bianca5,Colon-Echevarria Claudia6,Townsend Mary K.6,Tworoger Shelley S.6,Rodriguez Paulo C.7,Bower Julienne E.8,Apte Sachin M.9,Wenham Robert M.10,Jim Heather S. L.1ORCID

Affiliation:

1. Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL 33612, USA

2. School of Aging Studies, University of South Florida, Tampa, FL 33612, USA

3. Department of Surgery and Neuroscience, University of Rochester Medical Center, Rochester, NY 14642, USA

4. Department of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA

5. Morsani College of Medicine, University of South Florida, Tampa, FL 33602, USA

6. Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL 33612, USA

7. Department of Immunology, Moffitt Cancer Center, Tampa, FL 33612, USA

8. Department of Psychology, University of California Los Angeles, Los Angeles, CA 90095, USA

9. Department of Obstetrics and Gynecology, Huntsman Cancer Institute, Salt Lake City, UT 84132, USA

10. Department of Gynecologic Oncology, Moffitt Cancer Center, Tampa, FL 33612, USA

Abstract

Previous research suggests that inflammation triggers cancer-treatment-related symptoms (i.e., fatigue, depression, and disruptions in sleep and physical activity), but evidence is mixed. This study examined relationships between inflammatory biomarkers and symptoms in patients with gynecologic cancer compared to age-matched women with no cancer history (i.e., controls). Patients (n = 121) completed assessments before chemotherapy cycles 1, 3, and 6, and 6 and 12 months later. Controls (n = 105) completed assessments at similar timepoints. Changes in inflammation and symptomatology were evaluated using random-effects mixed models, and cross-sectional differences between patients and controls in inflammatory biomarkers and symptoms were evaluated using least squares means. Associations among inflammatory biomarkers and symptoms were evaluated using random-effects fluctuation mixed models. The results indicated that compared to controls, patients typically have higher inflammatory biomarkers (i.e., TNF-alpha, TNFR1, TNFR2, CRP, IL-1ra) and worse fatigue, depression, and sleep (ps < 0.05). Patients reported lower levels of baseline physical activity (p = 0.02) that became more similar to controls over time. Significant associations were observed between CRP, depression, and physical activity (ps < 0.05), but not between inflammation and other symptoms. The results suggest that inflammation may not play a significant role in fatigue or sleep disturbance among gynecologic cancer patients but may contribute to depression and physical inactivity.

Funder

National Cancer Institute

Publisher

MDPI AG

Subject

Cancer Research,Oncology

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