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Protocol for the “Chemobrain in Motion – study” (CIM – study): a randomized placebo-controlled trial of the impact of a high-intensity interval endurance training on cancer related cognitive impairments in women with breast cancer receiving first-line chemotherapy

Abstract

Background

Up to 80% of breast cancer patients suffer from Cancer Related Cognitive Impairments (CRCI). Exercise is suggested as a potential supportive care option to reduce cognitive decline in cancer patients. This study will investigate the effects of a high-intensity interval endurance training (HIIT) on CRCI in breast cancer patients. Potentially underlying immunological and neurobiological mechanisms, as well as effects on patients’ self-perceived cognitive functioning and common cancer related side-effects, will be explored.

Methods

A single-blinded randomized controlled trial will be carried out. The impact of HIIT on CRCI will be compared to that of a placebo-intervention (supervised myofascial release training). Both interventions will be conducted simultaneously with the patients’ first-line chemotherapy treatment typically lasting 12–18 weeks. Fifty-nine women with breast cancer will be included in each of the two groups. The study is powered to detect (α = .05, β = .2) a medium effect size difference between the two groups (d = .5) in terms of patients’ change in cognitive testing performances, from baseline until the end of the exercise-intervention. The cognitive test battery, recommended by the International Cancer and Cognition Task Force to assess CRCI, will be used as primary measure. This includes the Hopkins Verbal Learning Test (learning/verbal memory), the Controlled Oral Word Association Test (verbal fluency) and the Trail-Making-Test A/B (attention/set-switching). The following endpoints will be assessed as secondary measures: Go-/No-Go test performance (response inhibition), self-perceived cognitive functioning, serum levels of pro- and antiinflammatory markers (tumor necrosis factor alpha, Interleukin-6, Interleukin-1 alpha, Interleukin-1 beta, C-reactive protein, Interleukin-1 receptor antagonist and Interleukin-10), serum levels of neurotrophic and growth factors (brain-derived neurotrophic factor, insulin-like growth factor 1 and vascular endothelial growth factor), as well as common cancer-related side effects (decrease in physical capacity, fatigue, anxiety and depression, sleep disturbances, quality of life and chemotherapy compliance).

Discussion

This study will provide data on the question whether HIIT is an effective supportive therapy that alleviates CRCI in breast cancer patients. Moreover, the present study will help shed light on the underlying mechanisms of potential CRCI improving effects of exercise in breast cancer patients.

Trial registration

DRKS.de, German Clinical Trials Register (DRKS), ID: DRKS00011390, Registered on 17 January 2018.

Peer Review reports

Background

Up to 80% of breast cancer patients demonstrate a decrease in their cognitive capacity [1,2,3,4,5]. Most frequently reported are mild to moderate deficits in processing speed, attention, memory and executive functions (1–3, 5). In about 35% of affected patients, cognitive symptoms persist for months, or even years, after completion of medical treatments [6, 7], impairing daily functioning [8], limiting ability to return to work [9] and decreasing overall quality of life [8, 10,11,12]. Cognitive decline in breast cancer patients is mostly attributed to chemotherapy [13,14,15] leading to the expression of “Chemobrain” [16]. However, recent research shows that other factors, besides chemotherapy, can adversely impact cognition of breast cancer patients [17,18,19,20,21,22,23]. Consequently, the term “Cancer Related Cognitive Impairment” (CRCI) is currently preferred in the scientific literature [24, 25].

The underlying mechanisms of CRCI are still not fully understood. Recent findings indicate a key role of inflammatory pathways in the genesis of CRCI [26]. Affected patients show increased levels of proinflammatory markers, such as tumor necrosis factor alpha (TNF-α), Interleukin-6 (IL-6), Interleukin-1 Alpha (IL-1α), Interleukin-1 Beta (IL-1β) and C-reactive protein (CRP) [27,28,29,30]. At the same time, antiinflammatory cytokines, such as Interleukin-1 receptor antagonist (IL-1RA) and Interleukin-10 (IL-10) are decreased [30]. Hypothesized mechanisms of CRCI also include decreased levels of neurotrophic and growth factors, such as brain-derived neurotrophic factor (BDNF), insulin-like growth factor 1 (IGF-1) and vascular endothelial growth factor (VEGF) [31,32,33,34,35].

Research on therapeutic interventions alleviating CRCI in breast cancer patients is still scarce [25]. Recently, exercise increasingly gains attention as a potential supportive care option to reduce CRCI [24, 25, 36, 37]. In healthy elderly adults [38,39,40] and patients suffering from neurodegenerative diseases [41,42,43], there is substantial evidence that underlines the benefits of aerobic endurance training for functioning and structure of the central nervous system (CNS). However, initial studies, which are testing the effects of endurance exercise programs on CRCI in patients with breast cancer, show only small beneficial effects, if at all [44,45,46,47,48]. One reason could be that the applied training regimens, with low to moderate exercise intensities, were not intense enough to have meaningful effects on patients’ cognition. Moreover, recent research, in patients with breast cancer, shows that high-intensity endurance training is not only safe and feasible [49, 50], but is also more efficient than low to moderate endurance exercise, in terms of cognitive benefits [51]. The assumption, that higher intense exercise regimens have superior beneficial effects on CRCI, is supported by research demonstrating a positive dose-response relationship among exercise intensity and exercise induced anti-inflammatory effects/neurotrophin expression [52,53,54].

High-intensity interval endurance training (HIIT) seems to be an especially promising and time-efficient regimen, as potential supportive care option for CRCI, among the more intense exercise interventions. High-intensity interval endurance training increases peak aerobic fitness, it alleviates cardiovascular risk and fatigue in cancer patients [55, 56]. All the aforementioned are associated with CRCI [24]. HIIT increases anti-inflammatory markers [57] and neurotrophic factors [58], in a particularly effective and efficient way.

The main objective of this study will be to investigate the effects of a HIIT program on CRCI in breast cancer patients undergoing first-line chemotherapy, compared to a placebo-control group. The cognitive test battery, recommended by the International Cancer and Cognition Task Force to assess CRCI, will be used as primary measure [59]. The following endpoints will be assessed as secondary measures: Go-/No-Go-test performance (response inhibition), self-perceived cognitive performance, serum levels of pro- and antiinflammatory markers (TNF-α, IL-6, IL-1α, IL-1β, CRP, IL-1RA, IL-10), serum levels of neurotrophic and growth factors (BDNF, IGF-1, VEGF) as well as common cancer-related side effects (decrease in physical capacity, fatigue, anxiety and depression, sleep disturbances, quality of life and chemotherapy compliance).

Methods

The present study is designed as a longitudinal randomized interventional study with two study arms. Participants will be allocated randomly to one of two forms of supervised exercise (see “Groups and interventions” section). Exercise will be done simultaneously with patients’ first-line chemotherapy regimen typically lasting 12–18 weeks (parallel group, single-blinded, randomized controlled trial (RCT)). That means that the exercise intervention will stop when chemotherapy stops. The pre-specified objectives and hypotheses are listed in Table 1. The study flowchart is shown in Fig 1. The study protocol was approved by the Ethics Commission of the Legal Department of the Hessen Regional Medical Council (Germany) (reference number: FF175/2016) and is registered at the WHO trial register (ID: DRKS00011390, see also Additional file 1). Any modifications to the protocol which may impact the implementation of the study, or impact any potential patient benefit, or may affect patient safety, including changes of study objectives, study design, patient population, sample sizes, study procedures, or significant administrative aspects, will require a formal amendment at the Ethics Commission. The project adheres to the declaration of Helsinki.

Table 1 In- and exclusion criteria
Fig. 1
figure 1

Flowchart of the trial. (1) Baseline measurement will be conducted shortly after diagnosis and 1–3 days before beginning of patients’ medical treatment; (2) Participants allocated to the high-intensity interval endurance training perform 3 × 3 min high-intensive intervals, interspersed by 90 s active rest-intervals during the first 8 weeks of their chemotherapy (duration ≈ 20–25 min). During the second half of participants’ chemotherapy, the number of intervals will be increased to 5 (duration ≈ 30–35 min); (2) Participants allocated to the Placebo Control Group receive a supervised myofascial release training program, inducing hardly any muscular effort and cardiovascular stimulation. Duration of sessions in the Placebo Control Group correspond to the duration of sessions in the high-intensity interval endurance training

Study population and recruitment

Participants will be recruited at the Department for Oncology and Hematology of the Clinic Northwest and at the Department for Gynecology at the University Clinic in Frankfurt (Germany). Patients with initial diagnosis of mammary carcinoma stage I-IIIA and scheduled chemotherapy, not fulfilling any of the listed exclusion criteria in Table 2, will be recommended for study participation by the attending physician to the principal investigator. Patients will receive detailed descriptions of the study and will be given sufficient time to ask any questions. Patients will be included in the planned study only after they will give written informed consent. The participants will be included chronologically.

Table 2 Objectives and hypotheses of the study

Randomization and blinding

Eligible patients will be randomly allocated to one of two experimental groups (see “Groups and treatments” section below). A stratified block randomization with permuted block length will be conducted, using the “Randomization-In-Treatment-Arms” software (RITA, Evident, Germany). The application of neo-adjuvant chemotherapy (neo-adjuvant vs. no neo-adjuvant treatment) will be the stratification factor.

In the present study, participants will be kept blind to the research question, as much as possible. They will be informed that two exercise interventions (HIIT vs. myofascial release training) will be compared, in terms of their effect on cognitive performance, blood parameters and common cancer related side effects, in patients with breast cancer. Accordingly, patients will not know the specific hypotheses of the trial. They will not know if they are allocated to the experimental or to the control group.

Groups and interventions

Patients will be allocated either into a HIIT or a placebo control group. High-intensity interval endurance training and placebo control group will be conducted at the Clinic Northwest in Frankfurt (Germany), simultaneously with the patients’ first-line chemotherapy regimen, typically lasting 12 to 18 weeks.

  • HIIT Group

    Patients will receive a supervised HIIT on a stationary bicycle ergometer (Ergoselect 100 Typ K, Ergoline, Bitz, Germany). Sessions will be carried out 3 times per week with at least 24 h rest between sessions. The first 5 min (min) of each training session will be warm-up at low-intensity (cadence at 60–70 rpm (rpm) and wattage according to 57–63% of patient’s maximum heart rate (HRmax)). During the first 8 weeks of patients’ chemotherapy, HIIT will consist of 3 × 3 min high-intensive intervals (cadence at 80–100 rpm and wattage according to 85–90% of HRmax) interspersed by 90 s active rest-intervals (cadence at 60–70 rpm and wattage according to 57–63% of HRmax). During the second half of patients’ chemotherapy, the number of intervals will be increased to 5 [49]. The last 5 min of each training session will be cool-down at low-intensity (cadence at 60–70 rpm and wattage according to 57–63% of HRmax). Accordingly, duration of each HIIT session will be approximately 20–25 min during the first 8 weeks of patients’ chemotherapy and 30–35 min during the second half of patients’ chemotherapy. In cases of participants showing blunted heart rate response to exercise, (i.e. resulting from medications like beta-blocker medication) ratings of perceived exertion on the Borg scale [60] will be used to control exercise intensity rather than heart rate [61]. In such cases, warm up, cool down and active rest intervals, interspersed between high-intensive intervals, will be conducted at wattage in accordance with a rating of perceived exertion of 10–12 on the Borg scale. High-intensive intervals, in such cases, will be conducted at wattage in accordance with a rating of perceived exertion of 16–18 on the Borg scale. Any deviations from the protocol will be recorded. High-intensity interval endurance training will be conducted in addition to the standard medical treatment and physiotherapy.

  • Placebo Control Group (PCG)

    Patients allocated to the PCG will receive a supervised myofascial release training 3 times per week with at least 24 h rest between sessions. The training sessions consist of seven standardized exercises using a foam roll (Blackroll, Bottighofen, Swiss): self-massage of the soles of the feet (standing on one leg), of the calves (lying in dorsal position), of the hamstrings (lying in dorsal position), of the thighs (manually while lying in dorsal position), of the neck (lying in dorsal position), of the lower and upper back (leaning backwards against a wall in standing position), as well as self-massage of the upper arm and shoulder (leaning sideways against a wall in standing position). During the first 8 weeks of patients’ chemotherapy, each exercise will be repeated 6 times on each side of the body. During the second half of patients’ chemotherapy, each exercise will be repeated 10 times on each side of the body. Between each exercise, participants will do low-intense shoulder and hip mobilization exercises for 2 min. Accordingly, duration of each PCG session will be approximately 20–25 min during the first 8 weeks of patients’ chemotherapy and 30–35 min during the second half of patients’ chemotherapy. Any deviations to this protocol will be recorded. Myofascial release training will also be conducted in addition to the standard medical treatment and physiotherapy.

PCG-training was designed as attention control condition. Both treatments, HIIT and PCG-training, will be carried out individually and will be supervised by independent sport-therapists. Training frequency and duration of HIIT and PCG training sessions will be equal, to ensure that the attention, the treatment contact and the nonspecific therapist effects are balanced between HIIT group and PCG. However, PCG-training (myofascial release training), unlike the HIIT, will induce hardly any muscular effort and cardiovascular stimulation [62].

Exercise-treatments will be carried out neither on chemotherapy days, nor 24 h after a chemotherapy application [63]. Other contraindications that prohibit participation in a training session of HIIT or PCG are described below:

  • Infections

  • Hemoglobin < 8 g per deciliter

  • Platelet counts < 10,000/μl

  • Fever

  • Nausea

  • Dizziness

Patients’ compliance to the exercise program will be strengthened by the individual supervision patients receive. Each patient will have one sport-therapist that will run all the training sessions. The sport-therapist will monitor the patient’s exercise sessions closely and will motivate the patient to apply the protocol. The sport-therapist will provide feedback on patients’ progress and will discuss benefits and barriers of the exercise with the patient. Feedback and support from sport-therapists have been reported to promote adherence to exercise programs in breast cancer patients [64, 65]. To further increase adherence to the training, participants will receive an E-mail every Friday afternoon by their sport-therapist summarizing their previous workout and reinforcing patients’ adherence by praising their attendance and discipline in the program. The E-mail will also contain the training schedule for the following week with the days and times of the planned training sessions.

Data collection and timeline

Data will be collected during the process of enrollment (−t0), at baseline (t0), after completion of the exercise intervention (equivalent to the end of patients’ first-line chemotherapy) (t1) and 6 months after completion of the exercise intervention (follow-up, t2). During the enrolment process, the patients’ medical record and planned therapy, demographic (age, sex, education) and anthropometric data (weight, height, Body Mass Index), as well as past medical history and current medication will be captured. Baseline measurement will be conducted shortly after diagnosis and 1–3 days before beginning of patients’ medical treatment. At t0, primary outcome measures and all secondary outcome measures of the study (see “Primary endpoint” and “Secondary endpoints” section below), will be captured. Following the intervention period, i.e. the end of first-line chemotherapy (t1), and 6 months after that (t2), the primary outcome measures and all the secondary outcome measures will be re-assessed. The detailed study schedule is provided in Fig 2. The “Standard Protocol Items: Recommendations for Interventional Trials” (SPIRIT) checklist [66] is provided as an additional file 2 to this publication.

Fig. 2
figure 2

The schedule of enrolment, interventions and assessments. -t0 during the process of enrolment, t0 baseline, t1 after completion of exercise intervention (equivalent to the end of the patients’ first-line chemotherapy), t2 6 months after completion of exercise intervention, HIIT high-intensity interval endurance training; Placebo control group training (supervised myofascial release training), HVLT-R Hopkins Verbal Learning Test - Revised, COWAT Controlled Oral Word Association Test, TMT Trail Making Test part A/part B, INHIB Response Inhibition Test, FACT-COG Functional Assessment of Cancer Therapy – Cognitive function, TNF-α tumor necrosis factor alpha, IL-6 Interleukin-6, IL-1α Interleukin-1 Alpha, IL-1β Interleukin-1 Beta, CRP C-reactive protein, IL-1RA Interleukin-1 receptor antagonist, IL-10 Interleukin-10, BDNF brain-derived neurotrophic factor, VEGF vascular endothelial growth factor, IGF-1 insulin-like growth factor 1, IXT incremental exercise test, MFI-20 The multidimensional Fatigue Inventory, EORTC-QLQ-C30 core questionnaire 30 items of the European Organization for Research and Treatment of Cancer, HADS-D German version of the Hospital Anxiety and Depression Scale PSQI Pittsburgh Sleeping Quality Index. * As demographic data: age, sex, education, socioeconomic status will be captured. ** As anthropometric data height, weight and BMI will be captured

Primary endpoint

The primary endpoint of the present study will be the change of test-scores from baseline (t0) to after completion of the exercise intervention (t1), in the test battery recommended by the International Cancer and Cognition Task Force (ICCTF) to capture CRCI [59]. The ICCTF test battery comprises of the Hopkins Verbal Learning Test – Revised (HVLT-R), Trail-Making-Test A/B (TMT-A/TMT-B) and the Controlled Oral Word Association Test (COWAT).

  • The HVLT-R

    The HVLT-R was developed to measure forgetfulness in the domain of verbal memory in individuals at the age of 16 and older [67]. The test includes a list of 12 nouns, which will be read to the participants. Then, the participants will be instructed to repeat as many words from that list as they can remember in any order. This process will be repeated three times. The sum of correct recalled words at all 3 learning trials (“Total-Recall”) has been described as measure of learning efficiency and short-term verbal memory [68] and will be used for analyses. The HVLT-R offers six parallel forms. As recommended for repeated testing, the parallel forms 1, 2 and 4 will be used at t0, t1 and t2 [68]. The order of test forms at the 3 measurement time points will be random but counterbalanced across participants. The HVLT-R shows adequate psychometric properties [69, 70].

  • TMT-A/B

    The TMT-A will instruct participants to connect randomly distributed numbers from 1 to 25 as quickly and as correctly as possible, in ascending order. The time participants require for completing TMT part A has been described as a valid measure of selective attention [71] and will be used for analyses in the planned study. TMT-B will instruct participants to connect randomly distributed numbers (1 to 13) and letters (A to L) in ascending order, alternating between numbers and letters as quickly and as correctly as possible. The time participants require for completing TMT part B has been reported as valid measure of executive functioning subdomain set-shifting [71] and will be used for analyses. In the present study, the Langensteinbacher version of the TMT (TMT-L) [72] will be applied. It will be operated via the Wiener Test-System (WTS) (Schuhfried, Vienna, Austria) and adequate psychometric properties have been reported for it [72]. TMT-L parallel versions S1, S2 and S3 will be used in a random order at the 3 measurement time-points, but counterbalanced across participants.

  • COWAT

    The German version of the COWAT will be used in the present study [73]. Participants will be instructed to name as many words as possible in one min, beginning with a given letter. As recommended in the German test-manual [73], the letters S, P and M will be used at the 3 measurement time points. The order of the letters will be random, but counterbalanced across participants. The number of words participants will produce will be used for analyzation. Adequate psychometric properties for the German version of the COWAT have been reported [73].

Secondary endpoints

The following secondary endpoints will be assessed in the present study:

  • Go-/No-Go-test performance

    The Response Inhibition Test (INHIB) [74] will be applied as additional cognitive test in the planned study. It will also be operated via the WTS. The INHIB is a classical Go-/No-go test paradigm. Participants will be presented with Go- and No-Go-stimuli. They will be instructed to push a button, as quickly as possible, as a response to a Go-stimulus. The vast majority of stimuli will be Go-stimuli, forming a response tendency of pushing the button. The number of erroneous reactions to No-go-stimuli has been reported as valid measure of executive functioning subdomain response inhibition [71] and will be used for analyses. Adequate psychometric properties have been reported for the INIHIB [75].

  • Self-perceived cognitive performance

    Self-perceived cognitive performance will be assessed using the FACT-COG questionnaire (German Version 3) [76], which was developed as part of the Functional Assessment of Cancer Therapy-Measurement System [77]. The FACT-Cog version 3 is comprised of 37 items, with 4 subscales: patients’ perceived cognitive impairments, deficits observed or commented by others, perceived cognitive abilities, impact of cognitive changes on quality of life. Respondents will indicate the frequency of each occurrence over the 7 days preceding the test, using a 5-point Likert-type scale ranging from 0 (never) to 4 (several times). For the FACT-Cog adequate psychometric properties have been reported [78].

  • Inflammatory marker, neurotrophin and growth factor expression

    Serum levels of TNF-α, IL-6, IL-1α, IL-1β, CRP, IL-1RA and IL-10 as well as of BDNF, IGF-1 and VEGF will be quantified by using enzyme-linked immunosorbent assay (ELISA). Drawing of 8.5 ml venous blood at resting state will be performed at t0, t1 and t2. Samples will be taken from a peripheral vein of the arm and collected in serum gel tubes (S-Monovette® Serum, Sarstedt, Nümbrecht, Germany). After complete coagulation at 4 °C, samples will be centrifuged for 10 min at 1000 g and 4 °C. The serum will be prepared and aliquoted within 24 h after blood drawing and duplicate samples will be stored at − 80 °C until analyzed when samples of all included participants will be collected.

  • Patients’ physical fitness

    Patients’ physical fitness will be assessed using an incremental exercise test (IXT) on a bicycle ergometer (Ergoselect 100 Typ K, Ergoline, Bitz, Germany). According to recommended guideline [79], a quasi-ramp protocol will be used, starting at 20 W (W) and increasing intensity for 10 W every minute until pulmonic or muscular exhaustion. Patients will be advised to pedal at 60 to 70 rpm. During IXT, blood pressure will be monitored using the ergometer module for automatic blood pressure management. Heart rate and cardiac rhythm will also be monitored during IXT using a 12-lead ECG (Amedtec CardioPart Blue, Amedtec, Aue, Germany). Oxygen uptake and carbon emission during IXT will be recorded using spirometry (Amedtec Ergostik, Amedtec, Aue, Germany). When patients will reach voluntary exhaustion, 20 μl of capillary blood will be withdrawn from patient’s earlobe to determine whole blood lactate concentration. Patients’ maximal performance will be defined reaching one of the following criteria: (1) capillary lactate levels of ≥8 mmol/L; (2) respiratory exchange ratio of ≥1.1; (3) maximum heart rate of 220 minus age ± 10 min− 1; (4) rate of perceived exertion on Borg scale ≥18 [80,81,82]. Incremental exercise test will be conducted under the supervision of a physician. As measures of physical fitness, patients’ maximal performance in watts per kilogram bodyweight (W/kg), as well as their peak of oxygen uptake (VO2peak) in milliliter oxygen uptake per kilogram bodyweight per minute, will be calculated for each participant.

  • Other common cancer related side effects

    Assessment of patients’ anxiety and depression will be done according to the German version of the Hospital Anxiety and Depression Scale (HADS-D, “D” is indicating the German version of the HADS) [83]. Patients’ fatigue will be assessed using the German 20 item version of the Multidimensional Fatigue Inventory (MFI-20) [84]. Patients’ quality of sleep will be assessed using the German version of the Pittsburgh Sleep Quality Index [85]. Patients’ quality of life will be assessed by using the EORTC QLQ-C30 questionnaire and the updated breast cancer module QOL-BR23 [86]. In addition, assessment of the chemotherapy completion rates and adverse effects will be done via medical records.

  • Sustainability of effects of HIIT on CRCI

    Six months after completion of the HIIT/placebo intervention (equivalent to the end of the patients’ first-line chemotherapy), the ICCTF test-battery will be additionally applied to assess the sustainability of potential positive effects of the HIIT on CRCI compared to placebo.

Testing procedure

All assessments will take place at the Clinic Northwest in Frankfurt (Germany). In order to control for potential diurnal rhythms of biomarkers, the testing appointments will always be scheduled at 8.00 o’clock in the morning. Patients will be instructed to fast for at least 12 h before the testing appointment and to bring breakfast food along. First, an 8.5 ml fasting venous blood sample will be taken. Subsequently, patients will be given time to have breakfast. Then, patients will fill in the questionnaires (FACT-COG, EORTC QLQ-C30, QOL-BR23, PSQI, HADS-D, MFI-20). After a 15-min break, the first neuropsychological testing block comprising of the HVLT-R and the TMT will take place. It will last approximately 20 min. After another 15-min break, the second neuropsychological testing block will be conducted, applying the COWAT and the INHIB. It will take approximately 15 min. After completion of the neuropsychological testing, the IXT will be conducted lasting approximately 30 min.

Adverse events and compliance assessment

Adverse events (AE), as well as serious adverse events (SAE), related to the exercise intervention will be assessed by the attending physicians at the Clinic Northwest in Frankfurt (Germany). Compliance to HIIT and control group intervention will be protocolled by scientific staff. It is pre-defined that patients need to participate on average in 2 exercise sessions per week following the above described treatment protocol for complete compliance. It has been shown feasible in previously published studies [51]. However, in case of emerging limitations to follow the protocol, these limitations will be addressed. The exercise regimen will be (temporarily) adapted and the patients will continue the program to the maximum extent possible.

Data management and confidentiality

All data will be entered electronically by two independent student assistants. Any deviations between the two independent student assistants will be clarified and corrected. Original study forms will be kept on file. All study-related information will be stored in a secure manner and in accessible place. All participant information will be stored in locked in file cabinets in areas with limited access. Participant files will be kept in storage for a period of 10 years after completion of the study. Blood samples will be disposed after analyses.

All laboratory samples, reports, the data collection, the process, and all administrative forms will be identified by a coded ID number, to maintain participant confidentiality. All records that contain names or other personal identifiers, such as locator forms and informed consent forms, will be stored separately from study records, also identified by code numbers. All local databases will be secured with password-protected access systems. Forms, lists, logbooks, appointment books, and any other listings that link participant ID numbers to other identifying information, will be stored in a separate, locked file in an area with limited access. After completion of the study, raw data of all analyses will be archived in an open access repository.

Sample size calculation

Sample size calculation was done to investigate the effect of exercise-intervention on the primary endpoint (objectively assessed cognitive performance using test battery of the ICCTF), in an analysis of covariance model (ANCOVA) using G*Power 3.1.9.2 software [87]. It was hypothesized that the changes in the test scores in the ICCTF test-battery, from baseline to after completion of the exercise-intervention, differ significantly between the HIIT group and the PCG-training group. Previous studies have shown that regular, low to moderate, exercise exerts rather small beneficial effects on CRCI in breast cancer patients [44,45,46,47,48]. However, pronounced effects of HIIT on fitness, cardiovascular health, fatigue and biomarkers have been reported in cancer patients [55,56,57,58]. Changes in these factors are discussed to play a pivotal role in the genesis of CRCI [24]. In accordance with it, we expect more meaningful effects of HIIT on CRCI compared to low to moderate exercise interventions. A medium effect of d = .5 was defined for sample size calculation. Alpha was set at 5%, but Bonferroni corrected due to multiple testing (4 outcome variables), leading to an adjusted alpha of 1.25%. Test power (1-β) was set at 80%. Participants’ test scores at baseline are included as covariate in the model. Required sample size in such an ANCOVA model can be calculated as (1-ρ2)*n, with ρ representing the correlation between participants’ baseline and post-treatment outcome-scores and n representing the sample size that would have been required, if a t-test of post-treatment outcome-scores was applied [88]. The correlation between patients’ test scores at baseline and at t1 was estimated with ρ = .6. This estimation was based on preliminary results (N = 40) of an ongoing trial of our group [89], indicating correlations between baseline and post-intervention measures of the applied tests of .6 and .8. Under the presuppositions made, the sample size calculation showed that 59 patients would be required in each group (N = 118). Based on attrition rate reported in existing studies applying HIIT in breast cancer patients during chemotherapy [49, 51] we accounted for 15% drop-out rate, leading to a total sample size of N = 136 patients.

Statistical analysis

An intention to treat (ITT) analysis will be performed We will also assess the effect of the complete treatment in a per protocol analysis. Separate 2 × 3 mixed ANCOVAs will be conducted to determine the effects of between-subjects factor exercise-intervention, within-subjects factor measurement time-point and their interaction on primary and secondary outcomes. Patients’ baseline scores of each specific parameter will be used as covariate. A significant main effect, of within-subjects factor measurement time-point, will be further investigated through Bonferroni corrected post hoc pairwise comparisons. Simple effects analyses will be conducted to determine potential group differences at each measurement time-point.

ANCOVA assumptions will be explored. In case of violations of normality assumption, appropriate nonparametric procedures will be used. In case of violations of ANCOVA assumptions of homogenous variances or sphericity, F-test will be adjusted. Eta-square values will be reported as effect size estimates for explained variance, and Cohen’s d values will be reported for post hoc pairwise comparisons.

In addition, an exploratory regression-based mediation analysis will be performed for each intervention induced change in biomarker expression. It will be tested if the change in biomarker expression, from baseline to completion of the exercise intervention, partially mediates the effect of the exercise intervention on the change in cognitive performance. The indirect effect, as combined effect of intervention induced change in biomarker and change in biomarker induced change in cognitive performance (i.e. the effect of mediation), will be calculated (product of regression coefficients). The 95% confidence intervals will be created around the indirect effect using bootstrapping [90, 91].

Statistical analysis will be performed by a statistician blinded to treatment groups. Statistical analyses will be conducted using SPSS 25® (IBM®, Armonk, NY, USA). For mediation analyses, the PROCESS custom dialog box (version 3.1, Model 4) for SPSS [91] will be used. A result will be considered significant at p-value equal to or less than .5 (in case of primary endpoint this will be adjusted to .0125).

Discussion

Despite the high incidence of CRCI among breast cancer patients, knowledge regarding effective supportive care methods is still insufficient. First results on the effects of HIIT interventions on CRCI in breast cancer are promising [49, 51], but further research is needed. The planned study will investigate the effects of a HIIT on CRCI in breast cancer patients comprehensively. The primary endpoint of the planned study will be performance in the test battery recommended by the ICCTF for investigating CRCI [59], supplemented by a classical Go-/No-Go task.

Beyond the investigation of CRCI alleviating effects of a HIIT in breast cancer patients, the present study will explore potentially underlying physiological mechanisms. To reliably attribute changes in cognitive performances, after an exercise intervention, to physiological adaptations to the exercise, exercise treatment and control group treatment must fulfill the ceteris paribus clause. This means that the exercise group and the control group should be equal regarding all factors except for the critical ingredient (here: the physical exertion) [92, 93]. The present study will compare the effects of a HIIT, not just against treatment as usual, but against a placebo control group. HIIT and PCG-training will both be supervised and, therefore, exhibit a comparable amount of social attention to the patients. Accordingly, it will be possible to disentangle the effects of physiological factors clearly from the potential effects of psychosocial factors related to the treatment on patients’ cognitive performances. Thus, placebo and Hawthorne effects can be minimized.

The knowledge about the immunological and neurobiological mechanisms, potentially underlying the CRCI alleviating effects of exercise, is still in its infancy. The positive impact of HIIT on inflammatory pathways, neurotrophin and growth factor expression shown in healthy individuals [57, 58], builds a strong rationale for use of HIIT in therapy of CRCI. The level of systemic inflammation, neurotrophin and growth factor expression are crucial in adult neurogenesis, survival of neurons, neurite growth, synaptic transmission and long-term potentiation [94], as well as in positive brain vasculature changes [95]. However, research on the effects of exercise on inflammatory and neurotrophic markers in breast cancer patients is still scarce. Our study will contribute to filling this knowledge gap. Several markers (TNF-α, IL-6, IL-1α, IL-1β, CRP, IL-1RA, IL-10, BDNF, IGF-1, VEGF) known to be affected by aerobic endurance training in elderly healthy individuals [40] and neurodegenerative patients [96], and believed to cause exercise-induced cognitive benefits, will be captured in the planned study. This will allow researchers to understand better the underlying mechanisms of potentially achieved training-induced cognitive benefits in breast cancer patients.

Beyond potential effects of HIIT on CRCI, HIIT might also be an especially efficient supportive therapy to alleviate other common cancer related side effects. HIIT was shown effective to increase patients’ endurance capacity [50] and, therefore, a particularly suitable method to counteract decline in physical capacity, as often experienced by breast cancer patients [97]. The effects of HIIT on other cancer related side-effects, like anxiety and depression, quality of life, sleeping disturbances, fatigue, as well as compliance to chemotherapy, remain unclear and will, therefore, also be assessed in this study.

Trial status

The recruitment of the patients will start on 1st November, 2018. Recruitment is expected to be completed by 31st January, 2021. The data analysis and- writing of the scientific manuscripts will be carried out after completion of recruitment.

Abbreviations

1-β:

Statistical testing power

AE:

Adverse events

ANCOVA:

Analysis of covariance

BDNF:

Brain-derived neurotrophic factor

CNS:

Central nervous system

COWAT:

Controlled Oral Word Association Test

CRCI:

Cancer Related Cognitive Impairment

CRP:

C-reactive protein

ELISA:

Enzyme-linked immunosorbent assay

EORTC-QLQ-C30:

Core questionnaire 30 items of the European Organization for Research and Treatment of Cancer

HADS-D:

German version of the Hospital Anxiety and Depression Scale

HIIT:

High-intensity interval endurance training

HRmax :

Maximum heart rate

HVLT-R:

Hopkins Verbal Learning Test – Revised

ICCTF:

International Cancer and Cognition Task Force

IGF-1:

Insulin-like growth factor 1

IL-10:

Interleukin-10

IL-1RA:

Interleukin-1 receptor antagonist

IL-1α:

Interleukin 1 Alpha

IL-1β:

Interleukin 1 Beta

IL-6:

Interleukin-6

INHIB:

Response Inhibition Test

ITT:

Intention-to-treat

IXT:

Incremental exercise test

MFI-20:

The multidimensional fatigue inventory

min:

Minutes

PCG:

Placebo control group

PSQI:

Pittsburgh sleeping quality index

QOL-BR23:

Updated breast cancer module

RCT:

Randomized controlled trial

rpm:

Rounds per minute

SAE:

Serious adverse events

SPIRIT:

Standard protocol items: recommendations for interventional trials

t0 :

Baseline measurement

-t0 :

Time-point of enrolment

t1 :

After completion of the exercise-intervention

t2 :

6-months after cessation of patients’ first line therapy

TMT:

Trail-making-test

TNF-α:

Tumor necrosis factor-alpha

VEGF:

Vascular endothelial growth factor

VO2peak :

Peak of oxygen uptake in milliliter oxygen uptake per kilogram bodyweight per minute

W:

Watts

W/kg:

Watts per kilogram bodyweight

WTS:

Wiener Test-System

References

  1. Ahles TA, Saykin AJ, McDonald BC, Li Y, Furstenberg CT, Hanscom BS, et al. Longitudinal assessment of cognitive changes associated with adjuvant treatment for breast cancer: impact of age and cognitive reserve. J Clin Oncol. 2010;28:4434–40.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Biglia N, Bounous VE, Malabaila A, Palmisano D, Torta DME, D’Alonzo M, et al. Objective and self-reported cognitive dysfunction in breast cancer women treated with chemotherapy: a prospective study. Eur J Cancer Care (Engl). 2012;21:485–92.

    Article  CAS  Google Scholar 

  3. Jansen CE, Cooper BA, Dodd MJ, Miaskowski CA. A prospective longitudinal study of chemotherapy-induced cognitive changes in breast cancer patients. Support Care Cancer. 2011;19:1647–56.

    Article  PubMed  Google Scholar 

  4. Tager FA, McKinley PS, Schnabel FR, El-Tamer M, Cheung YKK, Fang Y, et al. The cognitive effects of chemotherapy in post-menopausal breast cancer patients: a controlled longitudinal study. Breast Cancer Res Treat. 2011;126:271–2.

    Article  Google Scholar 

  5. Wefel JS, Saleeba AK, Buzdar AU, Meyers CA. Acute and late onset cognitive dysfunction associated with chemotherapy in women with breast cancer. Cancer. 2010;116:3348–56.

    Article  PubMed  Google Scholar 

  6. Janelsins MC, Kohli S, Mohile SG, Usuki K, Ahles TA, Morrow GR. An update on cancer- and chemotherapy-related cognitive dysfunction: current status. Semin Oncol. 2011;38:431–8.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Koppelmans V, Breteler MMB, Boogerd W, Seynaeve C, Gundy C, Schagen SB. Neuropsychological performance in survivors of breast cancer more than 20 years after adjuvant chemotherapy. J Clin Oncol. 2012;30:1080–6.

    Article  PubMed  Google Scholar 

  8. Wefel JS, Lenzi R, Theriault RL, Davis RN, Meyers CA. The cognitive sequelae of standard-dose adjuvant chemotherapy in women with breast carcinoma: results of a prospective, randomized, longitudinal trial. Cancer. 2004;100:2292–9.

    Article  CAS  PubMed  Google Scholar 

  9. Bradley CJ, Neumark D, Bednarek HL, Schenk M. Short-term effects of breast cancer on labor market attachment: results from a longitudinal study. J Health Econ. 2005;24:137–60.

    Article  PubMed  Google Scholar 

  10. Myers JS. Chemotherapy-related cognitive impairment: the breast cancer experience. Oncol Nurs Forum. 2012;39:E31–40.

    Article  PubMed  Google Scholar 

  11. Reid-Arndt SA, Yee A, Perry MC, Hsieh C. Cognitive and psychological factors associated with early posttreatment functional outcomes in breast cancer survivors. J Psychosoc Oncol. 2009;27:415–34.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Boykoff N, Moieni M, Subramanian SK. Confronting chemobrain: an in-depth look at survivors’ reports of impact on work, social networks, and health care response. J Cancer Surviv. 2009;3:223–32.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Fardell JE, Vardy J, Logge W, Johnston I. Single high dose treatment with methotrexate causes long-lasting cognitive dysfunction in laboratory rodents. Pharmacol Biochem Behav. 2010;97:333–9.

    Article  CAS  PubMed  Google Scholar 

  14. Fardell JE, Vardy J, Johnston IN. The short and long term effects of docetaxel chemotherapy on rodent object recognition and spatial reference memory. Life Sci. 2013;93:596–604.

    Article  CAS  PubMed  Google Scholar 

  15. de Ruiter MB, Reneman L, Boogerd W, Veltman DJ, Caan M, Douaud G, et al. Late effects of high-dose adjuvant chemotherapy on white and gray matter in breast cancer survivors: converging results from multimodal magnetic resonance imaging. Hum Brain Mapp. 2012;33:2971–83.

    Article  PubMed  Google Scholar 

  16. Tangpong J, Cole MP, Sultana R, Estus S, Vore M, St Clair W, et al. Adriamycin-mediated nitration of manganese superoxide dismutase in the central nervous system: insight into the mechanism of chemobrain. J Neurochem. 2007;100:191–201.

    Article  CAS  PubMed  Google Scholar 

  17. Shibayama O, Yoshiuchi K, Inagaki M, Matsuoka Y, Yoshikawa E, Sugawara Y, et al. Association between adjuvant regional radiotherapy and cognitive function in breast cancer patients treated with conservation therapy. Cancer Med. 2014;3:702–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Schilder CM, Seynaeve C, Beex LV, Boogerd W, Linn SC, Gundy CM, et al. Effects of tamoxifen and exemestane on cognitive functioning of postmenopausal patients with breast cancer: results from the neuropsychological side study of the tamoxifen and exemestane adjuvant multinational trial. J Clin Oncol. 2010;28:1294–300.

    Article  CAS  PubMed  Google Scholar 

  19. Abdel-Aziz AK, Mantawy EM, Said RS, Helwa R. The tyrosine kinase inhibitor, sunitinib malate, induces cognitive impairment in vivo via dysregulating VEGFR signaling, apoptotic and autophagic machineries. Exp Neurol. 2016;283(Pt A):129–41.

    Article  CAS  PubMed  Google Scholar 

  20. Debess J, Riis JO, Pedersen L, Ewertz M. Cognitive function and quality of life after surgery for early breast cancer in North Jutland, Denmark. Acta Oncol. 2009;48:532–40.

    Article  PubMed  Google Scholar 

  21. Oh PJ. Predictors of cognitive decline in people with cancer undergoing chemotherapy. Eur J Oncol Nurs. 2017;27:53–59.

    Article  PubMed  Google Scholar 

  22. Jean-Pierre P. Management of cancer-related cognitive dysfunction-conceptualization challenges and implications for clinical research and practice. US Oncol. 2010;6:9–12.

    PubMed  PubMed Central  Google Scholar 

  23. Ahles TA, Saykin AJ, McDonald BC, Furstenberg CT, Cole BF, Hanscom BS, et al. Cognitive function in breast cancer patients prior to adjuvant treatment. Breast Cancer Res Treat. 2008;110:143–52.

    Article  CAS  PubMed  Google Scholar 

  24. Janelsins MC, Kesler SR, Ahles TA, Morrow GR. Prevalence, mechanisms, and management of cancer-related cognitive impairment. Int Rev Psychiatry. 2014;26:102–13.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Wefel JS, Kesler SR, Noll KR, Schagen SB. Clinical characteristics, pathophysiology, and management of noncentral nervous system cancer-related cognitive impairment in adults. CA Cancer J Clin. 2015;65:123–38.

    Article  PubMed  Google Scholar 

  26. Kundu JK, Surh Y-J. Inflammation: gearing the journey to cancer. Mutat Res. 2008;659:15–30.

    Article  CAS  PubMed  Google Scholar 

  27. Cheung YT, Ng T, Shwe M, Ho HK, Foo KM, Cham MT, et al. Association of proinflammatory cytokines and chemotherapy-associated cognitive impairment in breast cancer patients: a multi-centered, prospective, cohort study. Ann Oncol Off J Eur Soc Med Oncol. 2015;26:1446–51.

    Article  CAS  Google Scholar 

  28. Kesler S, Janelsins M, Koovakkattu D, Palesh O, Mustian K, Morrow G, et al. Reduced hippocampal volume and verbal memory performance associated with interleukin-6 and tumor necrosis factor-alpha levels in chemotherapy-treated breast cancer survivors. Brain Behav Immun. 2013;30(Suppl):S109–16.

    Article  CAS  PubMed  Google Scholar 

  29. Pierce BL, Ballard-Barbash R, Bernstein L, Baumgartner RN, Neuhouser ML, Wener MH, et al. Elevated biomarkers of inflammation are associated with reduced survival among breast cancer patients. J Clin Oncol. 2009;27:3437–44.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. van Vulpen JK, Schmidt ME, Velthuis MJ, Wiskemann J, Schneeweiss A, Vermeulen RCH, et al. Effects of physical exercise on markers of inflammation in breast cancer patients during adjuvant chemotherapy. Breast Cancer Res Treat. 2018;168(2):421–31.

  31. Briones TL, Woods J, Wadowska M. Retracted: involvement of insulin-like growth factor-1 in chemotherapy-related cognitive impairment. Behav Brain Res. 2015;279:112–22.

    Article  CAS  PubMed  Google Scholar 

  32. Licht T, Goshen I, Avital A, Kreisel T, Zubedat S, Eavri R, et al. Reversible modulations of neuronal plasticity by VEGF. Proc Natl Acad Sci U S A. 2011;108:5081–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Schagen SB, Klein M, Reijneveld JC, Brain E, Deprez S, Joly F, et al. Monitoring and optimising cognitive function in cancer patients: Present knowledge and future directions. EJC Suppl EJC Off J EORTC, Eur Organ Res Treat Cancer. 2014;12:29–40.

    CAS  Google Scholar 

  34. Ng T, Teo SM, Yeo HL, Shwe M, Gan YX, Cheung YT, et al. Brain-derived neurotrophic factor genetic polymorphism (rs6265) is protective against chemotherapy-associated cognitive impairment in patients with early-stage breast cancer. Neuro-Oncology. 2016;18:244–51.

    Article  CAS  PubMed  Google Scholar 

  35. Janelsins MC, Roscoe JA, Berg MJ, Thompson BD, Gallagher MJ, Morrow GR, et al. IGF-1 partially restores chemotherapy-induced reductions in neural cell proliferation in adult C57BL/6 mice. Cancer Investig. 2010;28:544–53.

    Article  CAS  Google Scholar 

  36. Tang K, Xia FC, Wagner PD, Breen EC. Exercise-induced VEGF transcriptional activation in brain, lung and skeletal muscle. Respir Physiol Neurobiol. 2010;170:16–22.

    Article  CAS  PubMed  Google Scholar 

  37. Zimmer P, Baumann FT, Oberste M, Wright P, Garthe A, Schenk A, et al. Effects of exercise interventions and physical activity behavior on cancer related cognitive impairments: A systematic review. Biomed Res Int. 2016;2016:1820954.

    Article  CAS  Google Scholar 

  38. Hindin SB, Zelinski EM. Extended practice and aerobic exercise interventions benefit untrained cognitive outcomes in older adults: a meta-analysis. J Am Geriatr Soc. 2012;60:136–41.

    Article  PubMed  Google Scholar 

  39. Smith PJ, Blumenthal JA, Hoffman BM, Cooper H, Strauman TA, Welsh-Bohmer K, et al. Aerobic exercise and neurocognitive performance: a meta-analytic review of randomized controlled trials. Psychosom Med. 2010;72:239–52.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Archer T. Physical exercise alleviates debilities of normal aging and Alzheimer’s disease. Acta Neurol Scand. 2011;123:221–38.

    Article  CAS  PubMed  Google Scholar 

  41. Beier M, Bombardier CH, Hartoonian N, Motl RW, Kraft GH. Improved physical fitness correlates with improved cognition in multiple sclerosis. Arch Phys Med Rehabil. 2014;95:1328–34.

    Article  PubMed  Google Scholar 

  42. Paillard T, Rolland Y, de Souto Barreto P. Protective effects of physical exercise in Alzheimer’s disease and Parkinson’s disease: a narrative review. J Clin Neurol. 2015;11:212–9.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Mancuso P. The role of adipokines in chronic inflammation. ImmunoTargets Ther. 2016;5:47–56.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Knobf MT, Thompson AS, Fennie K, Erdos D. The effect of a community-based exercise intervention on symptoms and quality of life. Cancer Nurs. 2014;37:E43–50.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Mustian K, Janelsins M, Peppone L, Kamen C, Guido J, Heckler C. EXCAP exercise effects on cognitive impairment and inflammation: A URCC NCORP RCT in 479 cancer patients. J Clin Oncol. 2015;33(suppl):abstr 9504.

    Google Scholar 

  46. Miki E, Kataoka T, Okamura H. Feasibility and efficacy of speed-feedback therapy with a bicycle ergometer on cognitive function in elderly cancer patients in Japan. Psychooncology. 2014;23:906–13.

    Article  PubMed  Google Scholar 

  47. Baumann FT, Zimmer P, Finkenberg K, Hallek M, Bloch W, Elter T. Influence of endurance exercise on the risk of pneumonia and fever in leukemia and lymphoma patients undergoing high dose chemotherapy. A pilot study. J Sports Sci Med. 2012;11:638–42.

    PubMed  PubMed Central  Google Scholar 

  48. Hartman SJ, Nelson SH, Myers E, Natarajan L, Sears DD, Palmer BW, et al. Randomized controlled trial of increasing physical activity on objectively measured and self-reported cognitive functioning among breast cancer survivors: the memory & motion study. Cancer. 2018;124:192–202.

    Article  PubMed  Google Scholar 

  49. Mijwel S, Backman M, Bolam KA, Olofsson E, Norrbom J, Bergh J, et al. Highly favorable physiological responses to concurrent resistance and high-intensity interval training during chemotherapy: the OptiTrain breast cancer trial. Breast Cancer Res Treat. 2018. https://doi.org/10.1007/s10549-018-4663-8.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Toohey K, Pumpa K, McKune A, Cooke J, Semple S. High-intensity exercise interventions in cancer survivors: a systematic review exploring the impact on health outcomes. J Cancer Res Clin Oncol. 2017. https://doi.org/10.1007/s00432-017-2552-x.

    Article  PubMed  Google Scholar 

  51. Mijwel S, Backman M, Bolam KA, Jervaeus A, Sundberg CJ, Margolin S, et al. Adding high-intensity interval training to conventional training modalities: optimizing health-related outcomes during chemotherapy for breast cancer: the OptiTrain randomized controlled trial. Breast Cancer Res Treat. 2017:1–15. https://doi.org/10.1007/s10549-017-4571-3.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Knaepen K, Goekint M, Heyman EM, Meeusen R. Neuroplasticity - exercise-induced response of peripheral brain-derived neurotrophic factor: a systematic review of experimental studies in human subjects. Sports Med. 2010;40:765–801.

    Article  PubMed  Google Scholar 

  53. Skriver K, Roig M, Lundbye-Jensen J, Pingel J, Helge JW, Kiens B, et al. Acute exercise improves motor memory: exploring potential biomarkers. Neurobiol Learn Mem. 2014;116:46–58.

    Article  CAS  PubMed  Google Scholar 

  54. Szuhany KL, Bugatti M, Otto MW. A meta-analytic review of the effects of exercise on brain-derived neurotrophic factor. J Psychiatr Res. 2015;60:56–64.

    Article  PubMed  Google Scholar 

  55. Adams SC, DeLorey DS, Davenport MH, Stickland MK, Fairey AS, North S, et al. Effects of high-intensity aerobic interval training on cardiovascular disease risk in testicular cancer survivors: a phase 2 randomized controlled trial. Cancer. 2017;123:4057–65.

    Article  PubMed  Google Scholar 

  56. Adams S, DeLorey D, Davenport M, Fairey A, North S, Courneya K. A randomized controlled trial of the effects of high-intensity aerobic interval training on fatigue, psychosocial function, and health-related quality of life in testicular cancer survivors. Psychooncology. 2018;27(Supple November 2017):68.

    Google Scholar 

  57. Ramos JS, Dalleck LC, Tjonna AE, Beetham KS, Coombes JS. The impact of high-intensity interval training versus moderate-intensity continuous training on vascular function: a systematic review and meta-analysis. Sports Med. 2015;45:679–92.

    Article  PubMed  Google Scholar 

  58. Cabral-Santos C, Castrillon CIM, Miranda RAT, Monteiro PA, Inoue DS, Campos EZ, et al. Inflammatory cytokines and BDNF response to high-intensity intermittent exercise: effect the exercise volume. Front Physiol. 2016;7:509.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Wefel JS, Vardy J, Ahles T, Schagen SB. International cognition and Cancer task force recommendations to harmonise studies of cognitive function in patients with cancer. Lancet Oncol. 2011;12:703–8.

    Article  PubMed  Google Scholar 

  60. Borg GA. Psychophysical bases of perceived exertion. Med Sci Sports Exerc. 1982;14:377–81.

    CAS  PubMed  Google Scholar 

  61. Hughes DC, Cox MG, Serice S, Baum G, Harrison C, Basen-Engquist K. Using rating of perceived exertion in assessing cardiorespiratory fitness in endometrial cancer survivors. Physiother Theory Pract. 2017;33:758–65. https://doi.org/10.1080/09593985.2017.1357150.

    Article  PubMed  PubMed Central  Google Scholar 

  62. Oberste M, Bloch W, Hubner ST, Zimmer P. Do reported effects of acute aerobic exercise on subsequent higher cognitive performances remain if tested against an instructed self-myofascial release training control group? A Randomized Controlled Trial. PLoS One. 2016;11:e0167818.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  63. Courneya KS, Segal RJ, McKenzie DC, Dong H, Gelmon K, Friedenreich CM, et al. Effects of exercise during adjuvant chemotherapy on breast cancer outcomes. Med Sci Sports Exerc. 2014;46:1744–51.

    Article  CAS  PubMed  Google Scholar 

  64. McGuire R, Waltman N, Zimmerman L. Intervention components promoting adherence to strength training exercise in breast cancer survivors with bone loss. West J Nurs Res. 2011;33:671–89.

    Article  PubMed  Google Scholar 

  65. Ormel HL, van der Schoot GGF, Sluiter WJ, Jalving M, Gietema JA, Walenkamp AME. Predictors of adherence to exercise interventions during and after cancer treatment: a systematic review. Psychooncology. 2017:713–24. https://doi.org/10.1002/pon.4612.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  66. Chan AW, Tetzlaff JM, Götzsche PC, Altman DG, Mann H, Berlin JA, et al. SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials. BMJ. 2013;346:1–42.

    Article  Google Scholar 

  67. Hess LM, Chin S. Changes in Cognitive Function Related to Chemotherapy. In: Alberts D, Lluria-Prevatt M, Kha S, Weihs K, editors. Supportive Cancer Care. Heidelberg: Springer; 2016. p. 1–346.

  68. Brandt J, Benedict RHB. Hopkins verbal learning test-revised: professional manual. Lutz: PAR; 2001.

    Google Scholar 

  69. Benedict RHB, Schretlen D, Groninger L, Brandt J. Hopkins verbal learning test-revised: normative data and analysis of inter-form and test-retest reliability. Clin Neuropsychol. 1998;12:43–55. https://doi.org/10.1076/clin.12.1.43.1726.

    Article  Google Scholar 

  70. Shapiro AM, Benedict RHB, Schretlen D, Brandt J. Construct and concurrent validity of the Hopkins verbal learning test – revised. Clin Neuropsychol. 1999;13:348–58. https://doi.org/10.1076/clin.13.3.348.1749.

    Article  CAS  PubMed  Google Scholar 

  71. Daamen M, Raab M. Psychological assessments in physical exercise. In: Boecker H, Hillmann CH, Scheef L, Strüder HK, editors. Functional neuroimaging in exercise and sport sciences. New York: Springer; 2012. p. 109–53.

    Chapter  Google Scholar 

  72. Rodewald K, Weisbrod M, Aschenbrenner S. Trail making test Langsteinbacher version - manual. 22nd ed. Mödling: Schuhfried GmbH; 2014.

    Google Scholar 

  73. Aschenbrenner S, Tucha O, Lange M. Regensburger Wortflüssigkeits-test. Göttingen: Hogrefe; 2001. https://www.testzentrale.de/shop/regensburger-wortfluessigkeits-test.html. Accessed 19 Feb 2018

    Google Scholar 

  74. Kaiser S, Aschenbrenner S, Pfüller U, Roesch-Ely D, Weisbrod M, Debelak M. Manual response inhibition: Kurzbeschreibung INHIB. 22nd ed. Mödling: Schuhfried GmbH; 2012.

    Google Scholar 

  75. Kaiser S, Aschenbrenner S, Pfüller U, Roesch-Ely D, Weisbrod M. Manual response inhibition test. Mödling: Schuhfried GmbH; 2012.

    Google Scholar 

  76. Cheung YT, Foo YL, Shwe M, Tan YP, Fan G, Yong WS, et al. Minimal clinically important difference (MCID) for the functional assessment of cancer therapy: cognitive function (FACT-cog) in breast cancer patients. J Clin Epidemiol. 2014;67:811–20.

    Article  PubMed  Google Scholar 

  77. Wagner L, Sweet J, Butt Z, Lai J, Cella D. Measuring patient self-reported cognitive function: development of the functional assessment of cancer ther- apy-cognitive function instrument. J Support Oncol. 2009;7:W32–9.

    Google Scholar 

  78. Cheung YT, Lim SR, Shwe M, Tan YP, Chan A. Psychometric properties and measurement equivalence of the english and chinese versions of the functional assessment of cancer therapy-cognitive in Asian patients with breast cancer. Value Health. 2013;16:1001–13.

    Article  PubMed  Google Scholar 

  79. Scharhag-Rosenberger F, Becker T, Streckmann F, Schmidt K, et al. Studien zu körperlichem Training bei onkologischen Patienten: Empfehlungen zu den Erhebungsmethoden. Dtsch Z Sportmed. 2014;2014:304–13.

    Article  Google Scholar 

  80. Arena R. Exercise Testing. In: Pescatello LS, Arena R, Riebe D, Thompson PD, editors. ACSM’s Guidlines for Exercise Testing and Prescription. 9th ed. Philadelphia: Wolters Kluwer/Lippincott Williams & Wilkens; 2013. p. 39–156.

    Google Scholar 

  81. Midgley AW, McNaughton LR, Polman R, Marchant D. Criteria for determination of maximal oxygen uptake: a brief critique and recommendations for future research. Sports Med. 2007;37:1019–28.

    Article  PubMed  Google Scholar 

  82. Scharhag-Rosenberger F, Schommer K. Die spiroergometrie in der sportmedizin. Dtsch Z Sportmed. 2013;64:362–6.

    Google Scholar 

  83. Herrmann-Lingen C, Buss U, Snaith R. HADS-D. hospital anxiety and depression scale—deutsche version (3. Aktualisierte und neu normierte Auflage). 3rd edition. Göttingen: Hogrefe; 2011.

    Google Scholar 

  84. Smets EMA, Garssen B, Bonke B, de Haes JCJM. The multidimensional fatigue inventory (MFI) psychometric qualities of an instrument to assess fatigue. J Psychosom Res. 1995;39:315–25.

    Article  CAS  PubMed  Google Scholar 

  85. Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28:193–213.

    Article  CAS  PubMed  Google Scholar 

  86. Fayers P, Aaronson N, Bjordal K. EORTC QLQ-C30 scoring manual. Eortc. 2001;1–77. doi:2001/6136/001.

  87. Faul F, Erdfelder E, Lang A-G, Buchner A. G*power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39:175–91.

    Article  PubMed  Google Scholar 

  88. Borm GF, Fransen J, Lemmens WAJG. A simple sample size formula for analysis of covariance in randomized clinical trials. J Clin Epidemiol. 2007;60:1234–8.

    Article  PubMed  Google Scholar 

  89. Zimmer P, Oberste M, Bloch W, Schenk A, Joisten N, Hartig P, et al. Impact of aerobic exercise training during chemotherapy on cancer related cognitive impairments in patients suffering from acute myeloid leukemia or myelodysplastic syndrome - study protocol of a randomized placebo-controlled trial. Contemp Clin Trials. 2016;49:1–5.

    Article  CAS  PubMed  Google Scholar 

  90. Field A. Discovering statistics using IBM SPSS statistics: and sex and drugs and rock “n” roll. 4th editio. Los Angeles and London and New Delhi: Sage; 2013.

    Google Scholar 

  91. Hayes AF. Introduction to meditaion, moderation, and conditional process analysis: a regression-based approach. 2nd editio. New York London: Guilford Press; 2018.

    Google Scholar 

  92. Oberste M, Hartig P, Bloch W, Elsner B, Predel H-G, Ernst B, et al. Control Group Paradigms in Studies Investigating Acute Effects of Exercise on Cognitive Performance–An Experiment on Expectation-Driven Placebo Effects. Front Hum Neurosci. 2017:1–10. https://doi.org/10.3389/fnhum.2017.00600.

  93. Stothart CR, Simons DJ, Boot WR, Kramer AF. Is the effect of aerobic exercise on cognition a placebo effect? PLoS One. 2014;9:e109557.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  94. Joly F, Noal S, Heutte N, Duclos B, Lange M, Longato N. Impact of antiangiogenic treatment on cognitive functions and fatigue in metastatic renal cancer patients. Eur J Cancer. 2013;49:598–768.

    Article  Google Scholar 

  95. Murray PS, Holmes PV. An overview of brain-derived neurotrophic factor and implications for excitotoxic vulnerability in the hippocampus. Int J Pept. 2011;2011:654085.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  96. Zimmer P, Bloch W, Schenk A, Oberste M, Riedel S, Kool J, et al. High-intensity interval exercise improves cognitive performance and reduces matrix metalloproteinases-2 serum levels in persons with multiple sclerosis: A randomized controlled trial. Mult Scler J. 2017;:135245851772834. doi:https://doi.org/10.1177/1352458517728342.

    Article  PubMed  CAS  Google Scholar 

  97. Holmes MD, Chen WY, Feskanich D, Kroenke CH, Colditz GA. Physical activity and survival after breast cancer diagnosis. JAMA. 2005;293:2479–86. https://doi.org/10.1001/jama.293.20.2479.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

The authors thank Rozeta Levkovska for language editing support

Funding

This study does not receive any specific grant form funding agencies in the public, commercial, or not-for-profit sectors.

Availability of data and materials

After completion of the study, raw data of all analyses will be archived in an open access repository.

Author information

Authors and Affiliations

Authors

Contributions

MO and NS contributed equally to this work. MO, NS, KS, EJ, KSt, NJ and PZ have been responsible for the development of the trial. MO and NS have written the manuscript for the study protocol with support of PZ, NJ and KS. WB contributed to the manuscript development and provided clinical expertise. MO, NS and KSt are responsible for designing statistical procedures. PH and NJ contributed to the development of the treatments and its description in the manuscript. All authors read and approved the final manuscript. PZ and NJ share last position authorship.

Corresponding author

Correspondence to Philipp Zimmer.

Ethics declarations

Ethics approval and consent to participate

Ethical approval has been obtained from the Ethics Commission of the Legal Department of the Hessen Regional Medical Council (Germany) (reference number: FF175/2016). The trial is registered at drks.de (ID: DRKS00011390) prior to starting recruitment. Patients will be informed about the possible risks and benefits of the study. Participation in this study will be voluntary. Written informed consent will be obtained from all patients.

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Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Additional files

Additional file 1:

All Items from the World Health Trial Registration Data Set. (PDF 74 kb)

Additional file 2:

SPIRIT 2013 Checklist. (PDF 167 kb)

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Oberste, M., Schaffrath, N., Schmidt, K. et al. Protocol for the “Chemobrain in Motion – study” (CIM – study): a randomized placebo-controlled trial of the impact of a high-intensity interval endurance training on cancer related cognitive impairments in women with breast cancer receiving first-line chemotherapy. BMC Cancer 18, 1071 (2018). https://doi.org/10.1186/s12885-018-4992-3

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