What are the investigators trying to do? By most measures, humans consume more food than needed. Over several decades, overconsumption has led to an increase in a number of diseases, including cancer. What if this could be reversed, or slowed down, by fasting? Would that improve how cancer patients respond to chemotherapy? Could simply changing eating patterns to reduce overall intake be a way to prevent and/or manage cancer? All of these are important questions and the investigators are undertaking a new initiative to study how nutrition and dietary behaviours affect cancer patients. Fasting: A way to improve overall health and increase our defenses to cancer Fasting in various forms has been shown to have a number of health benefits. Intermittent fasting, or time restricted feeding, has been shown to reverse or improve various diseases such as diabetes, heart disease and metabolic syndrome, decrease the risk of cancer, and significantly extend the life of an individual. In previous studies, fasting was well-tolerated with notable improvements in energy levels, sense of well-being, and sleep quality. In cancer patients, clinical trials have demonstrated intermittent fasting to lessen some of the short-term side effects of chemotherapy such as nausea, fatigue, and sleep quality. How fasting alters the course of cancer or improve immune defenses is not yet known but may be an alternative way to treat or manage cancer. The study plan The investigators plan to examine the effects of intermittent fasting (time restricted feeding) in patients with chronic lymphocytic leukemia (CLL). CLL is the most common chronic leukemia and is presently incurable. The advantage of choosing this patient population is that the cancer is easily assessed with a blood test measuring the amount of cancerous white cells (lymphocytes). Patients who consent to participate in this study will, through the support of an oncology dietitian and after a period of transition, split their daily feeding into a fasting period and a non-fasting period. This regime is as simple as skipping or having a late breakfast. At this time, participants will not be required to limit their total caloric intake. What is required from the participant? The investigators will assess whether intermittent fasting reduces the cancer by measuring the lymphocyte count in the blood over a period of 3 months. Study participants will complete questionnaires to help determine if fasting causes any change in their quality of life. The effects of intermittent fasting on a cancer control system called autophagy, as well as its effects on inflammation will be studied in the Deeley Research Centre laboratory at BC Cancer. What is the short- and long-term impact? In the short-term, if intermittent fasting can have an effect cancer lymphocyte count or on autophagy, then investigators will proceed with further studies to try and optimize the effects of intermittent fasting. In the long-term, this study is expected to be the first-ever to shed light on how intermittent fasting may be linked to cancer survival and/or growth. If true, this will open up new avenues to re-evaluate the inclusion of diet into cancer treatment protocols.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
TREATMENT
Masking
NONE
Enrollment
15
16/8 fasting method: fast for 16 hours of the day with an 8 hours feeding window for a duration of 3 months.
Eleah Stringer
Victoria, British Columbia, Canada
Change in lymphocyte count
Changes in lymphocyte count will be measured between each peripheral blood draw.
Time frame: Within 3 months pre-intervention, monthly during intervention, 1 month post-intervention
Change in quality of life
A quality of life questionnaire, European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Cancer 30 (EORTC QLQ-C30) version 3, will be administered to assess to subjective changes in well-being. It comprises 30 items (i.e. single questions), 24 of which are aggregated into nine multi-item scales, that is, five functioning scales (physical, role, cognitive, emotional and social), three symptom scales (fatigue, pain and nausea/vomiting) and one global health status scale. The remaining six single-item scales assess symptoms. All of the scales and single-item measures range in score from 0 to 100. Higher score for the functioning scales and global health status denote a better level of functioning (i.e. a better state of the patient), while higher scores on the symptom and single-item scales indicate a higher level of symptoms (i.e. a worse state of the patient).
Time frame: Pre-intervention, day 90 of intervention, 1 month post-intervention
Change in inflammation
Changes in c-reactive protein (CRP) will be measured between each peripheral blood draw.
Time frame: Within 3 months pre-intervention, monthly during intervention, 1 month post-intervention
Change in metabolic profiles
Changes in metabolomic profiles will be measured between each peripheral blood draw.
Time frame: Within 3 months pre-intervention, monthly during intervention, 1 month post-intervention
Change in autophagy status
This includes standard flow cytometric analysis of lymphocyte subsets: a panel established by the Human Immunology Consortium Project as well as additional in-house markers to enumerate the frequency of lymphocytes before and at various time points post-treatment. The extent of autophagy will be tested by performing cytometry and western blotting assays using LC3II and p62 as readouts. Total cell counts in different lymphocyte subsets including, but not limited to, cluster of differentiation (CD) 3, CD8, CD4, CD20, CD19, and forkhead box P3 (FoxP3) will be assayed in conjugation with glucose uptake and mitochondrial function.
Time frame: Within 3 months pre-intervention, monthly during intervention, 1 month post-intervention
Immune cell gene expression profiles
Expression profiles of selected immune cell genes
Time frame: Within 3 months pre-intervention, monthly during intervention, 1 month post-intervention
Change in gut microbiome (optional)
Stool samples to identify baseline and fasting-induced changes in abundance and repertoire of the gut microbiota
Time frame: 1 month pre-intervention, day 30 of intervention, day 90 of intervention
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