Characterizing Fatigue Experienced by Cancer Patients Receiving Primary Treatment and Cancer Survivors

Summary

Participation Requirements

Description

Although the underlying mechanisms of fatigue have been studied in several disease conditions, the etiology, mechanisms, and risk factors remain elusive, and this symptom remains poorly managed at present. Longitudinal studies related to treatment-related fatigue in cancer patients have been conduct...

Although the underlying mechanisms of fatigue have been studied in several disease conditions, the etiology, mechanisms, and risk factors remain elusive, and this symptom remains poorly managed at present. Longitudinal studies related to treatment-related fatigue in cancer patients have been conducted but there are limited data showing changes in molecular mechanisms before and after cancer therapy which can identify individuals who are at risk to experience fatigue during and after therapy. Fatigue is conceptualized as a multidimensional symptom which incorporates temporal, sensory, cognitive/mental, affective/emotional, behavioral, and physiological dimensions. This prospective, observational study will explore the molecular-genetic mechanisms underlying fatigue experienced by cancer patients receiving various therapies (e.g. immune therapy, hormone therapy, radiation therapy and chemotherapy). The primary objective of the study is to describe the changes in the self-reported fatigue experienced by cancer patients over time. The secondary objectives of this study are to (1) investigate the associations between inflammatory, neurometabolic, stress, and mitochondrial markers with fatigue intensification over time during the course of treatments, (2) determine changes in gene expression from peripheral blood samples over time during the course of treatments, (3) relate changes in the levels of these biological markers (i.e., inflammatory/metabolic/stress profiles and gene expression) to patient reported outcomes (PROs) of self-reported fatigue, sleep disturbance, depression, and health-related quality of life (HRQOL) scores, (4) measure cognitive functioning, skeletal muscle strength, physical activity levels and energy expenditure of patients and relate these findings with changes in PRO scores, the inflammatory/metabolic/stress profiles and gene expression, and (5) investigate the psychometric property of the Saligan-Walitt Integrated Fatigue Tool (SWIFT).

Tracking Information