The overall aim of the REBECCA project is to exploit the potential of "real-world data" to support clinical research and improve existing clinical workflow. The primary aim of the REBECCA-3 study is to use multi-source "real-world data" to monitor the quality of life (QoL) of prostate cancer patients who are affected by cancer-related fatigue during and after treatment. This is to investigate whether the REBECCA monitoring is accepted by male patients and can be used within various forms of cancer. Study design: 40 prostate cancer patients that undergo radiology and/or chemotherapy treatment will be included at the time of diagnosis. After end of primary treatment, the patients will receive a smartwatch, and have to download a REBECCA patient app on their mobile and a PC plug-in on their PC so that we can monitor their QoL for 4 months. In addition to collecting digital QoL parameters through the REBECCA-system, patient-reported QoL measures will also be collected through standardized PROMs and self-evaluation forms. Further, biological samples (blood, urine, and faeces) are collected at three time points of the study (i.e., at the time of: diagnosis, completed treatment, and 4 months post treatment), to investigate immunologic biomarkers, DNA methylation patterns and microbiota for assessment of new biological and prognostic information related to the development of cancer-related fatigue in prostate cancer patients.
Study Type
OBSERVATIONAL
Enrollment
40
Stavanger University Hospital
Stavanger, Norway
Evaluation of the average REBECCA system usage rate throughout the monitoring period.
Daily and weekly frequency of participant interactions with the REBECCA system.
Time frame: From the end of treatment to the 4-month post-treatment follow-up.
Quality of life (QoL) measured by the EORTC-QLQ-C30.
The European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC-QLQ) C30 scores patients QoL on a scale of 0-100, where higher values indicate higher QoL.
Time frame: At the time of inclusion, at the end of treatment (3-6 months from time of inclusion) and at the 4-month post-treatment follow-up
Quality of life (QoL) measured by the SF36-questionnaire.
The SF36 scores the patients physical and mental health on a scale of 0-100, where higher values indicate better health.
Time frame: At the time of inclusion, at the end of treatment (3-6 months from time of inclusion) and at the 4-month post-treatment follow-up
Quality of life (QoL) measured by the EPIC-26-questionnaire.
The Expanded Prostate Cancer Index Composite short form 26 (EPIC-26) scores the patients QoL on a scale of 0-100, where higher values indicate better health.
Time frame: At the time of inclusion, at the end of treatment (3-6 months from time of inclusion) and at the 4-month post-treatment follow-up
Fatigue in primary prostate cancer patients measured by the fVAS questionnaire.
The fatigue Visual Analog Scale (fVAS) scores fatigue on a scale of 0-100, where lower values indicate less fatigue, thus a reduction in fVAS score between timepoints indicates a reduction of fatigue.
Time frame: At the time of inclusion, at the end of treatment (3-6 months from time of inclusion) and at the 4-month post-treatment follow-up
Fatigue in primary prostate cancer patients measured by the FSS questionnaire.
The Fatigue Severity Scale (FSS) scores fatigue on a scale of 1-7, where lower values indicate less fatigue, thus a reduction in FSS score between timepoints indicates a reduction of fatigue.
Time frame: At the time of inclusion, at the end of treatment (3-6 months from time of inclusion) and at the 4-month post-treatment follow-up
Fatigue in primary prostate cancer patients measured by the FQ questionnaire.
The Fatigue Questionnaire (FQ) scores fatigue on a scale of 0-33, where lower values indicate less fatigue, thus a reduction in FQ score between timepoints indicates a reduction of fatigue.
Time frame: At the time of inclusion, at the end of treatment (3-6 months from time of inclusion) and at the 4-month post-treatment follow-up
REBECCA system index score
The REBECCA system index score is given as values between 0 and 100, where higher values indicate higher QoL.
Time frame: At the 4-month post-treatment follow-up.
Longitudinal analysis of the effect of the use of REBECCA using Generalized Estimating Equation (GEE)
Weekly measurements over a 4-month period.
Time frame: From the end of treatment to the 4-month post-treatment follow-up.
Fatigue biomarkers in plasma of primary prostate cancer patients.
Measure levels of fatigue biomarkers: HSP90, IL1β, IL6, IL10, IL1βRa, and DNA methylation.
Time frame: At the time of inclusion, at the end of treatment (3-6 months from time of inclusion) and at the 4-month post-treatment follow-up
Gut microbiota composition in primary prostate cancer patients.
Long-read 16S rRNA sequencing of faecal samples to characterize the gut microbiota composition.
Time frame: At the time of inclusion, at the end of treatment (3-6 months from time of inclusion) and at the 4-month post-treatment follow-up
Correlation between the REBECCA system index score and QoL questionnaire scores.
REBECCA score (scale 0-100) correlation to the EORTC-QLQ-C30 (scale 0-100), SF36 (scale 0-100), and EPIC-26 (scale 0-100).
Time frame: At the 4-month post-treatment follow-up.
Correlation between the REBECCA system index score and fatigue questionnaire scores.
REBECCA score (scale 0-100) correlation to the fVAS (scale 0-100), FSS (scale 0-7) and FQ (scale 0-33).
Time frame: At the 4-month post-treatment follow-up.
Correlation between the REBECCA system index score and fatigue biomarker levels in plasma
REBECCA score (scale 0-100) correlation to fatigue biomarker levels of HSP90, IL1β, IL6, IL10, IL1βRa and DNA methylation in plasma.
Time frame: At the 4-month post-treatment follow-up.
Correlation between the REBECCA system index score and fatigue biomarker levels in feces.
REBECCA score (scale 0-100) correlation to fatigue biomarker levels of pro-inflammatory and anti-inflammatory microbes in feces.
Time frame: At the 4-month post-treatment follow-up.
Subjective assessments of system usability measured by the System Usability Scale questionnaire.
The System Usability Scale measures user satisfaction on a scale from 0-100, where a score \>75 indicate system use satisfaction.
Time frame: At the 4-month post-treatment follow-up.
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