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Perspective

Tackling Insomnia Symptoms through Vestibular Stimulation in Patients with Breast Cancer: A Perspective Paper

by
Joy Perrier
1,*,
Melvin Galin
1,2,
Pierre Denise
2,
Bénédicte Giffard
1 and
Gaëlle Quarck
2
1
Neuropsychologie et Imagerie de la Mémoire Humaine U1077, EPHE, INSERM, CHU de Caen, GIP Cyceron, PSL Université, Normandie Univ, Université de Caen Normandie, 14000 Caen, France
2
COMETE U1075, INSERM, CYCERON, CHU de Caen, Normandie Univ, Université de Caen Normandie, 14000 Caen, France
*
Author to whom correspondence should be addressed.
Cancers 2023, 15(11), 2904; https://doi.org/10.3390/cancers15112904
Submission received: 28 March 2023 / Revised: 5 May 2023 / Accepted: 9 May 2023 / Published: 25 May 2023
(This article belongs to the Special Issue Quality of Life and Side Effects Management in Cancer Treatment)
Review Reports Versions Notes

Abstract

:

Simple Summary

Patients with breast cancer frequently complaint from insomnia difficulties that can affect quality of life and cancer progression. Such difficulties may result from rest-activity (i.e., 24 h alternation of sleep and wake) rhythm alterations consistently reported in this pathology. Currently proposed approaches to counter insomnia difficulties in patients with breast cancer have positive effects only on sleep complaints and well-being. Moreover, such approaches may be difficult to implement shortly after chemotherapy. Innovatively, vestibular stimulation would be particularly suited to tackling insomnia symptoms in patients with breast cancer. Indeed, recent reports have shown that vestibular stimulation could improve rest-activity rhythm and sleep in healthy volunteers. This perspective paper aims to support the evidence of using vestibular stimulation to improve rest-activity rhythms and reduce insomnia symptoms in patients with BC, with beneficial effects on quality of life and, potentially, survival.

Abstract

Insomnia symptoms are common among patients with breast cancer (BC; 20–70%) and are predictors of cancer progression and quality of life. Studies have highlighted sleep structure modifications, including increased awakenings and reduced sleep efficiency and total sleep time. Such modifications may result from circadian rhythm alterations consistently reported in this pathology and known as carcinogenic factors, including lower melatonin levels, a flattened diurnal cortisol pattern, and lower rest-activity rhythm amplitude and robustness. Cognitive behavioral therapy and physical activity are the most commonly used non-pharmacological interventions to counter insomnia difficulties in patients with BC. However, their effects on sleep structure remain unclear. Moreover, such approaches may be difficult to implement shortly after chemotherapy. Innovatively, vestibular stimulation would be particularly suited to tackling insomnia symptoms. Indeed, recent reports have shown that vestibular stimulation could resynchronize circadian rhythms and improve deep sleep in healthy volunteers. Moreover, vestibular dysfunction has been reported following chemotherapy. This perspective paper aims to support the evidence of using galvanic vestibular stimulation to resynchronize circadian rhythms and reduce insomnia symptoms in patients with BC, with beneficial effects on quality of life and, potentially, survival.

1. Sleep Is Often Overlooked as a Target to Improve Quality of Life and Survival in Patients with Cancer

We spend around one-third of our lives sleeping, which is critical for learning and memory, the immune system, brain energy, and plasticity [1,2]. Inadequate sleep is associated with numerous illnesses detrimental to metabolic and cardiovascular health, including a predisposition to obesity, diabetes, heart disease, and depression [3,4]. Sleep complaints, in particular, insomnia, are now well recognized in patients with non-central nervous system (CNS) cancers, not only following chemotherapy [5,6] but also before the occurrence of treatments [7,8,9]. Despite the high prevalence of complaints related to sleep disturbances in patients with cancer, such disturbances remain under-evaluated using gold-standard measures and are, thus, misunderstood in this population.
Sleep disturbances have been associated with increased risks of cancer [10,11,12] and tumor progression [13,14] in mouse models. Cancer could also indirectly influence sleep through various pathophysiological processes, including inflammation [15,16,17]. Therefore, a bi-directional relationship between sleep disturbances and inflammatory-associated cancer processes may exist. Sleep is part of one circadian rhythm (i.e., physiological processes regulated over 24 h) called the rest-activity rhythm. Previous reports have consistently shown rest-activity rhythm, and more generally, circadian rhythm, alterations in patients with cancer [18,19,20,21] that have been brought to the fore as a potential carcinogenic factor and are now considered a potential therapeutic target to improve survival in patients with cancer. Targeting not only sleep difficulties but also, more broadly, circadian rhythm alterations in patients with cancer would therefore offer the opportunity to improve their quality of life and also their survival.

2. Insomnia Symptoms and Sleep Structure Modifications in Patients with Breast Cancer

Insomnia is among the most common sleep complaints in patients with cancer, particularly in those with breast cancer (BC; 20–70%) compared to those with other non-CNS cancers and the general population (30%) [22,23]. Moreover, BC has become the most commonly diagnosed cancer in women worldwide [24]. Therefore, this perspective paper will focus on BC. The following section is intended to provide an overview of insomnia difficulties in patients with BC. An in-depth review of such difficulties is beyond the scope of this paper and has been specifically conducted previously [25,26,27].
Recent studies have shown that insomnia complaints are present in patients with BC even before and at diagnosis [28], before treatment initiation [25], and following treatment, mainly radiotherapy and chemotherapy [25,28,29]. Based on these results highlighting sleep complaints in patients with BC, and to tackle such difficulties, there is a need to describe the actual sleep structure modifications associated with BC and its treatments. Sleep structure disturbances in patients with BC have been mainly described using actigraphy, which indirectly measures sleep quality and quantity. However, while polysomnography (PSG) remains the gold standard for evaluating sleep quantity and quality, it has been less used in patients with cancer [30,31].
Two studies using actigraphy reported worse total sleep time and sleep efficiency before initiating chemotherapy treatments for BC [32,33] compared to normative values established in the US using actigraphy data [34]. Kreutz et al. [35] evaluated sleep parameters using actigraphy in patients with BC starting chemotherapy compared to normative data and stratified patients as good and poor sleepers. Patients did not differ from normative data, and no difference was found between good and poor sleepers. Unfortunately, no information was available about the time since the start of chemotherapy at the time of evaluation. However, the significance of these results is limited by the lack of a control group.
Two recent studies [36,37] evaluated sleep parameters using actigraphy in patients with BC at least 12 months after treatment completion (e.g., surgery, radiotherapy, or chemotherapy) or within 12 months after chemotherapy. Trivedi et al. did not find differences in sleep parameters between healthy controls and patients with BC 12 months after chemotherapy completion. Given the variability in treatments in their sample, this study does not permit us to disentangle the effects of each treatment modality. Moreover, since more than half of their sample took endocrine therapy, this could have driven their results. Ratcliff et al. found that patients with BC experienced relatively long waking after sleep onset, poor sleep efficiency, and short total sleep time compared to non-clinical norms [38]. However, no control group was included in this study.
Other studies have performed longitudinal protocols before, during, and/or after chemotherapy [39,40,41,42,43,44,45,46], of which only two included a control group without a history of cancer [42,43]. Their results showed longer total sleep time and nap time during chemotherapy compared to before treatment [39,40,44] and controls [42,43]. Conversely, Li et al. showed that chemotherapy initiation was associated with less sleep time, more arousal, and lower sleep quality compared with pretreatment and at the end of chemotherapy [46]. Beck et al. also reported a shorter sleep time on the first night after initiating chemotherapy than before and after [45]. Finally, Kuo et al. found no difference between assessments before and during chemotherapy [41]. Therefore, reports about the effects of chemotherapy on sleep parameters measured in actimetry are highly variable and do not allow us to draw a definitive conclusion. Nevertheless, a literature review published in 2015 [47] concluded that chemotherapy might accentuate sleep difficulties already present before the initiation of treatment for BC.
To our knowledge, only three studies have investigated the effects of endocrine therapy (anti-aromatase) [48,49] and radiotherapy [50] on sleep parameters measured using actimetry in patients with BC. One study showed no changes in sleep efficiency, total sleep time, and nocturnal arousals at endocrine therapy initiation compared to before [48]. This study’s lack of a control group could explain the lack of significant changes in sleep patterns with endocrine therapy. Conversely, Martin et al. [49] found that patients treated with endocrine therapy had lower sleep efficiency, more time awake, and higher activity levels at night than patients treated only with surgery and radiotherapy. Another study showed that almost half of the patients treated with radiotherapy had wakefulness and total sleep times outside the normal values [50].
Due to its ease of use, actigraphy is the primary approach used to evaluate sleep in patients with cancer. However, it does not facilitate a deep characterization of sleep and its pathophysiological modifications. In contrast, PSG is considered the gold standard for sleep evaluation. It comprises a multimodal recording (electroencephalography, electrooculography, electromyography, cardiac activity, and oximetry) and enables a deeper understanding of sleep modifications.
Previous experimental studies using PSG to evaluate sleep in patients with BC are scarce and have shown either a lack of sleep alterations following chemotherapy [51,52] or deleterious effects of chemotherapy and/or radiotherapy [53,54]. One study reported a longer deep sleep duration after radiotherapy in patients with BC than in healthy controls [53]. However, in this latest study, the delay between the PSG recording and the end of radiotherapy was unclear. In their pioneering study, Silberfab et al. [51] showed no differences between patients with BC and control subjects without a history of cancer for the primary sleep parameters of efficiency, number of awakenings, duration of stages, and sleep latency. Roscoe et al. [52] showed that patients slept more after than before chemotherapy. This result could be explained by poor sleep quality at baseline due to the stress associated with the cancer diagnosis and apprehension about chemotherapy or by an accumulation of fatigue and sleep deprivation during treatment leading to compensation after treatment.
Parker et al. compared the sleep structure of patients treated for advanced non-CNS cancers (stage 3 or 4 cancers), including 32 patients treated for BC (28% of the cohort) [54]. Their results showed that these patients had reduced sleep efficiency and amounts of the different sleep stages outside the norms established by Williams et al. in healthy participants [55]. Tag Eldin et al. [53] analyzed the sleep architecture of treated and untreated patients with BC and control subjects with no history of cancer. Patients treated with chemotherapy or radiotherapy had lower sleep time and efficiency and higher sleep latency and deep sleep duration than untreated patients and controls. Finally, the time spent in rapid eye movement (REM) sleep was lower in these patients.
These studies have shown changes in sleep structure in patients treated for cancer. Such sleep modifications may partly result from the circadian process alterations found in this population.

3. Circadian Rhythms Alterations in Patients with Cancer

Circadian rhythm alterations in patients with BC have been identified through physiological markers, including melatonin production, temperature, and cortisol rhythms over 24 h, and also using actigraphy. The latter is particularly suited to quantifying rest-activity rhythm (see [56] for rest-activity parameter definitions) over 24 h and is easier to use than physiological measures, although both approaches are complementary. Previous reports have indicated lower melatonin levels before and during chemotherapy administration [46]. Circadian disruptions such as hot flushes (i.e., a sudden wave of mild or intense body heat caused by rapid hormonal changes) [57] and flattened diurnal cortisol patterns [58,59] have been reported, supporting the view of circadian rhythm alterations in patients with BC. Using actigraphy, a lower amplitude, mean activity, and robustness of the rest-activity rhythm were identified in patients with BC during chemotherapy [42,46,60]. For example, Li et al. [46] showed that the first administration of chemotherapy was associated with an altered rest-activity rhythm, with a decrease in its amplitude, mean activity, and robustness compared with pretreatment. These changes appeared to attenuate as the treatment cycles were administered. Conversely, Sultan et al. [61] showed a worsening of alterations in the rest-activity rhythm, with a decrease in mean activity and amplitude and a shift in peak activity over chemotherapy cycles. However, the lack of measurements before chemotherapy initiation leaves open the extent to which these alterations existed before chemotherapy.
In a longitudinal study, Liu et al. found alterations in rest-activity rhythm in patients with BC compared with control subjects before and during chemotherapy [40]. Before and after chemotherapy, the patients’ rhythm showed reduced amplitude, mean activity, and robustness compared to controls. In patients, chemotherapy treatment was also associated with decreased amplitude and mean activity of the rest-activity rhythm compared to before chemotherapy initiation. In addition, two recent studies based on the same cohort showed that changes in rest-activity rhythm associated with chemotherapy, reflected by its decreased amplitude, mean activity, and intradaily variability, appeared to persist for up to five years after BC diagnosis [62,63]. In these two studies, the mean diurnal activity was lower, and its intradaily variability was larger in patients with BC than in healthy controls, suggesting an alteration in the rest-activity rhythm over 24 h in patients, even at a distance from their treatment. Overall, these results suggest that chemotherapy negatively impacts circadian rhythms, notably on the rest-activity rhythm parameters, which appear to persist years after chemotherapy. More recently, our team has shown that the amplitude of the rest-activity rhythm was reduced in patients with BC not treated with chemotherapy compared to healthy controls beyond the effects of endocrine therapy [49]. These results suggest that rest-activity modifications may be altered even before the initiation of adjuvant treatments and could be further exacerbated by chemotherapy. These results are summarized in Table 1.
Rest-activity rhythm modifications might be partly responsible for sleep disturbances in patients with BC. Indeed, associations have been shown between greater fatigue and altered circadian rhythms [64] but with greater time spent in bed [65] in nap periods [39]. These results suggest that fatigue would lead to an adaptation of sleep time over 24 h. Increased fatigue following cancer and its treatment could therefore induce alterations in the rest-activity rhythm and poor sleep habits (i.e., less activity time and more napping time), leading to the development or persistence of sleep disturbances. Moreover, circadian rhythm alterations have been associated with lower survival, calling for further studies to evaluate and address these modifications to improve sleep, quality of life, and also survival.

4. Associations with Survival

The hypothesis that activity-rest rhythm disorders could be carcinogenic (i.e., contribute to the occurrence of cancer) has emerged due to epidemiological studies showing an increased risk of developing BC in individuals performing shift work. It has been proposed that nocturnal exposure to light would suppress melatonin (a key regulator of central and peripheral oscillators) secretion by the pineal gland [12,66,67]. The model developed by Sephton et al. [68,69] has proposed a more precise interconnection about potential pathways through which circadian dysregulation could mediate psychosocial effects on cancer progression. They proposed that altered circadian rhythms and anxiety-depressive factors might contribute to tumor growth by deregulating glucocorticoid secretion by the hypothalamic–pituitary–adrenal axis [70]. In support of this model, a cortisol spike has been observed in patients with advanced BC compared to healthy controls. Such a higher nighttime peak was associated with a poorer prognosis, including more rapid development of metastases [71].
It has also been proposed that altered sleep may be one modifiable factor contributing to breast oncogenesis [10,11,12]. For example, a recent study on patients with advanced BC found that better sleep quality and fewer arousals, measured by actimetry, were associated with significantly reduced mortality risk over six years of follow-up [72]. Sleep disorders appear to be associated with an increased risk and/or higher aggressiveness of cancer [73,74]. However, our understanding of the underlying mechanisms needs further development and requires a multidisciplinary approach.
Screening for sleep disorders could be performed more systematically in patients with BC in the context of research protocols or clinical practice when they complain of difficulties in their daytime functioning. This screening would allow us to better understand to what extent sleep disorders influence the occurrence, aggressiveness, and recovery of BC and non-cerebral cancers in general and to treat sleep pathologies that potentially impact patients’ quality of life.

5. Perspective of Using Vestibular Stimulation to Improve Sleep in Patients with BC

Commonly prescribed drugs such as benzodiazepines have well-known adverse side effects [75,76,77]. Therefore, non-pharmacological interventions have gained increasing attention as an alternative first-line approach in recent years. Current non-drug approaches have been tested and partly validated to improve the quality of life and sleep complaints of patients with BC during and after treatments [78]. Such therapies include adapted physical activity or cognitive behavioral therapy that appear to positively affect quality of life, self-esteem [79,80,81,82], and subjective reports of insomnia symptoms even in the long term [83,84,85,86,87,88]. However, previous studies have provided a low quality of evidence [89].
However, while positively affecting well-being and self-reported sleep difficulties, these approaches are not explicitly targeting potential carcinogenic modifiable factors such as circadian rhythms and sleep. A challenge also remains when making non-drug therapies available and easily accessible to patients to improve adherence [90,91], highlighting the need for other approaches, such as vestibular stimulation. Indeed, previous reports suggest that chemotherapy for BC may affect vestibular function [92,93,94,95]. Moreover, considering the implication of the vestibular system in circadian regulation, its stimulation may offer a unique opportunity to regulate circadian rhythms and improve sleep in patients with BC.
The vestibular system is located within the inner ear next to the cochlear organ. It comprises three semi-circular canals detecting three-dimensional angular head velocity and two otolithic sensors detecting linear acceleration.
Besides its known role in detecting head movements and orientation, promising findings from lesion studies have also suggested that the vestibular system could constitute an input to the circadian clock or be involved in circadian regulation and synchronization [96,97,98]. Fuller et al. reported an association between the vestibular system and the circadian pacemaker based on animal studies [99,100,101]. In support of this hypothesis, bilateral vestibular lesions in rats led to a sharp fall in their core temperature and a disruption in their daily rhythmicity [96]. Similarly, a study in healthy volunteers reported a significant phase advance in the rest-activity rhythm using vestibular stimulation through a rotary chair at 18:00 compared to sham stimulation (i.e., lack of chair inclination and movement) [102]. These results support the hypothesis of the involvement of vestibular inputs in rest-activity rhythm regulation.
Since sleep is intimately associated with the rest-activity rhythm, these results suggested a potential association between sleep and the vestibular system. Patients with bilateral vestibular loss had abnormal sleep patterns and shorter sleep duration than healthy controls [97]. A recent study used actigraphy to quantify sleep in patients with unilateral vestibular hypofunction, finding that they slept less and took longer to fall asleep than healthy controls [103]. Recent epidemiological evidence has also shown abnormal sleep duration in patients with vestibular vertigo [104]. In addition, several studies have highlighted a potential association between sleep apnea (i.e., one of the most frequent sleep disorders) and vestibular impairments. However, this association remains to be clearly established [105,106].
The putative causal link between the vestibular system and sleep is strengthened by recent reports showing that the rehabilitation or stimulation of the vestibular system could promote sleep. In-hospital vestibular rehabilitation for chronic dizziness improved sleep complaints compared to before therapy [107]. Participants were taught to perform the rehabilitation program for 30 min four times a day over five days when they were in the hospital, and this program was conducted in groups. Similarly, compared to a stationary condition, continuous rocking (at 0.25 Hz) during an afternoon nap or the night promoted sleep by reducing latency into and maintenance of deep sleep (non-REM) in healthy volunteers [108,109]. Finally, a study evaluating the effects of a recliner chair with a rocking motion on sleep in healthy volunteers reported a decrease in light sleep and an increase in deep sleep when the chair moved compared to being stationary [110].
Positive effects of vestibular stimulation appear to be mediated by a decrease in the arousal level resulting from cholinergic tonus modulation and rhythmic entrainment of thalamocortical activity [111]. Older adults are more prone to experience sleep difficulties and are therefore of particular interest in using vestibular stimulation as a sleep-promoting intervention. However, three recent studies did not report sleep improvements using night or afternoon nap vestibular stimulation through rocking [112,113,114]. While this lack of significant effects of rocking on sleep may be due to the already high sleep efficiency of the participants, it could also be argued that the stimulation protocol was inadequate for efficiently stimulating the vestibular system.
Altogether, these results partly support (1) the involvement of the vestibular system as an input to circadian regulation and (2) the positive effects of vestibular rehabilitation and stimulation on sleep. The mechanisms involved remain to be understood, which will be required to form a consensus about such beneficial effects. Indeed, it might be argued that sleep and circadian disorders are not specific to vestibular lesions. Therefore, there is a need to highlight functional associations between the vestibular system and cortical/sub-cortical regions involved in sleep regulation. The association between the vestibular system and circadian rhythms is currently supported by neuro-anatomical pathways between the median vestibular nuclei and the suprachiasmatic nucleus (i.e., circadian pacemaker) [98,115].
Considering that patients with BC could have both circadian rhythm and sleep difficulties that could negatively influence their recovery after chemotherapy, innovative approaches targeting both phenomena are needed. Galvanic vestibular stimulation (GVS) could be particularly well suited for this purpose [116]. Indeed, GVS is based on stimulation of the peripheral vestibular organ via direct activation of vestibular nerve afferent fibers at the spike trigger zone, bypassing hair cell synapses [117,118] using electrical stimulation at the back of each ear. The question of which parts of the vestibule GVS activates has been debated over the past decade. A recent review proposed that GVS’s effects would result from a central semi-circular canal-otolith signal convergence and integration, further converging in central vestibular neurons [119]. Based on previous literature, working hypotheses can be proposed for GVS’s specific effects on circadian rhythms and sleep. Notably, the orexinergic system shares a bi-directional relationship with the vestibular system [119] and could mediate these effects. A functional hypothesis is that the vestibular system monitors the daily motion quantity and informs the orexinergic neurons, influencing the sleep–wake state switch [98].
Altogether, these previous reports support using GVS to limit circadian rhythms and sleep disturbances in patients with BC. Compared to other non-drug approaches currently available, GVS has the additional benefit of offsetting the decrease in vestibular stimulation resulting from hair cell impairments caused by chemotherapy agents.

6. Conclusions and Research Agenda

This perspective paper has highlighted sleep and circadian rhythm disturbances in patients with BC before and after chemotherapy. Several studies also suggest sleep difficulties and circadian rhythm alterations due to chemotherapy effects. Moreover, results from previous studies have repeatedly shown that sleep difficulties are associated with a lower quality of life and that circadian rhythm alterations and, to a lesser extent, sleep difficulties are associated with lower survival. These results call for approaches targeting circadian rhythm alterations and sleep difficulties that could be implemented shortly after chemotherapy in patients with BC.
Given the beneficial effects of vestibular stimulation on circadian rhythms and sleep and knowing the potential vestibulotoxic effects of chemotherapy, we have proposed using vestibular stimulation as a new non-pharmacological intervention. Vestibular stimulation is expected to specifically reduce circadian rhythm alterations and sleep difficulties in patients with BC after chemotherapy. GVS would be of particular interest since it has three potential benefits. Firstly, it allows remote vestibular stimulation to be performed at home. Patients with BC may have difficulties attending oncological support due to increased fatigue or distance between home and the hospital. Therefore, having a remote approach is of interest to increase adherence. Secondly, it is a safe and easy-to-use approach. Several systems can currently be used to pre-program stimulation and avoid patients doing so, avoiding accidental mishandling. Thirdly, videoconferencing during the stimulation could be considered to ensure social support and increase patient adherence.
Overall, this perspective paper supports using vestibular stimulation, particularly GVS, in patients with BC to resynchronize their circadian rhythms and improve their sleep, benefiting their quality of life and, potentially, survival.

7. Research Agenda

In laboratory settings:
  • Quantify the beneficial effects of GVS on circadian rhythms and sleep in patients with BC after chemotherapy as a proof of concept.
  • Compare the quality-of-life outcomes between patients using GVS and those not using stimulation.
  • Compare the survival outcomes between patients using GVS and those not using stimulation.
  • Determine the best time to use GVS in patients (e.g., before, during, or after [and how long after] chemotherapy).
  • Determine and quantify such beneficial effects in other cancer populations.
  • Explore the physiological and neurofunctional correlates of GVS to clarify its underlying mechanisms.
The above steps will further facilitate the implementation of GVS in oncological support in close partnership with clinical oncologists.
This research agenda requires close collaboration between several scientific disciplines (i.e., neuroscientists, neuropsychologists, and neurophysiologists) and clinicians that frequently work in different departments and speak different scientific languages. Moreover, this topic would benefit from translational studies that are currently rarely conducted, mainly for the same reasons.

Author Contributions

J.P. wrote the manuscript. G.Q. and J.P. initiated the purpose of the paper. P.D., M.G., B.G. and G.Q. provided feedback on the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Région Normandie (Chair of Excellence, 2021–2024, 20E04944; Réseaux d’Intérêts Normands—RIN, 2022–2025) and the Fondation ARC for Cancer Research—Fondation Arc pour al recherche sur le cancer (ARCPJA2021060003783).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Frank, M.G.; Heller, H.C. The Function(s) of Sleep. Handb. Exp. Pharmacol. 2019, 253, 3–34. [Google Scholar] [CrossRef] [PubMed]
  2. Krueger, J.M.; Frank, M.G.; Wisor, J.P.; Roy, S. Sleep Function: Toward Elucidating an Enigma. Sleep Med. Rev. 2016, 28, 46–54. [Google Scholar] [CrossRef] [PubMed]
  3. Maquet, P. Sleep Function(s) and Cerebral Metabolism. Behav. Brain Res. 1995, 69, 75–83. [Google Scholar] [CrossRef] [PubMed]
  4. van Mill, J.G.; Vogelzangs, N.; van Someren, E.J.W.; Hoogendijk, W.J.G.; Penninx, B.W.J.H. Sleep Duration, but Not Insomnia, Predicts the 2-Year Course of Depressive and Anxiety Disorders. J. Clin. Psychiatry 2014, 75, 119–126. [Google Scholar] [CrossRef]
  5. Lowery-Allison, A.E.; Passik, S.D.; Cribbet, M.R.; Reinsel, R.A.; O’Sullivan, B.; Norton, L.; Kirsh, K.L.; Kavey, N.B. Sleep Problems in Breast Cancer Survivors 1–10 Years Posttreatment. Palliat. Support. Care 2018, 16, 325–334. [Google Scholar] [CrossRef]
  6. Howell, D.; Oliver, T.K.; Keller-Olaman, S.; Davidson, J.R.; Garland, S.; Samuels, C.; Savard, J.; Harris, C.; Aubin, M.; Olson, K.; et al. Sleep Disturbance in Adults with Cancer: A Systematic Review of Evidence for Best Practices in Assessment and Management for Clinical Practice. Ann. Oncol. 2014, 25, 791–800. [Google Scholar] [CrossRef]
  7. Fox, R.S.; Ancoli-Israel, S.; Roesch, S.C.; Merz, E.L.; Mills, S.D.; Wells, K.J.; Sadler, G.R.; Malcarne, V.L. Sleep Disturbance and Cancer-Related Fatigue Symptom Cluster in Breast Cancer Patients Undergoing Chemotherapy. Support. Care Cancer 2020, 28, 845–855. [Google Scholar] [CrossRef]
  8. Van Onselen, C.; Paul, S.M.; Lee, K.; Dunn, L.; Aouizerat, B.E.; West, C.; Dodd, M.; Cooper, B.; Miaskowski, C. Trajectories of Sleep Disturbance and Daytime Sleepiness in Women Before and After Surgery for Breast Cancer. J. Pain Symptom Manag. 2013, 45, 244–260. [Google Scholar] [CrossRef]
  9. Fortner, B.V.; Stepanski, E.J.; Wang, S.C.; Kasprowicz, S.; Durrence, H.H. Sleep and Quality of Life in Breast Cancer Patients. J. Pain Symptom Manag. 2002, 24, 471–480. [Google Scholar] [CrossRef]
  10. Erren, T.C.; Morfeld, P.; Foster, R.G.; Reiter, R.J.; Groß, J.V.; Westermann, I.K. Sleep and Cancer: Synthesis of Experimental Data and Meta-Analyses of Cancer Incidence among Some 1,500,000 Study Individuals in 13 Countries. Chronobiol. Int. 2016, 33, 325–350. [Google Scholar] [CrossRef]
  11. Mogavero, M.P.; DelRosso, L.M.; Fanfulla, F.; Bruni, O.; Ferri, R. Sleep Disorders and Cancer: State of the Art and Future Perspectives. Sleep Med. Rev. 2021, 56, 101409. [Google Scholar] [CrossRef]
  12. Samuelsson, L.B.; Bovbjerg, D.H.; Roecklein, K.A.; Hall, M.H. Sleep and Circadian Disruption and Incident Breast Cancer Risk: An Evidence-Based and Theoretical Review. Neurosci. Biobehav. Rev. 2018, 84, 35–48. [Google Scholar] [CrossRef] [PubMed]
  13. Papagiannakopoulos, T.; Bauer, M.R.; Davidson, S.M.; Heimann, M.; Subbaraj, L.; Bhutkar, A.; Bartlebaugh, J.; Vander Heiden, M.G.; Jacks, T. Circadian Rhythm Disruption Promotes Lung Tumorigenesis. Cell Metab. 2016, 24, 324–331. [Google Scholar] [CrossRef] [PubMed]
  14. De Lorenzo, B.H.P.; E Brito, R.R.N.; Paslar Leal, T.; Piqueira Garcia, N.; Martins Dos Santos, R.M.; Alvares-Saraiva, A.M.; Perez Hurtado, E.C.; Braga Dos Reis, T.C.; Duarte Palma, B. Chronic Sleep Restriction Impairs the Antitumor Immune Response in Mice. Neuroimmunomodulation 2018, 25, 59–67. [Google Scholar] [CrossRef] [PubMed]
  15. Irwin, M.R.; Olmstead, R.; Carroll, J.E. Sleep Disturbance, Sleep Duration, and Inflammation: A Systematic Review and Meta-Analysis of Cohort Studies and Experimental Sleep Deprivation. Biol. Psychiatry 2016, 80, 40–52. [Google Scholar] [CrossRef]
  16. Raison, C.L.; Rye, D.B.; Woolwine, B.J.; Vogt, G.J.; Bautista, B.M.; Spivey, J.R.; Miller, A.H. Chronic Interferon-Alpha Administration Disrupts Sleep Continuity and Depth in Patients with Hepatitis C: Association with Fatigue, Motor Slowing, and Increased Evening Cortisol. Biol. Psychiatry 2010, 68, 942–949. [Google Scholar] [CrossRef]
  17. Besedovsky, L.; Lange, T.; Haack, M. The Sleep-Immune Crosstalk in Health and Disease. Physiol. Rev. 2019, 99, 1325–1380. [Google Scholar] [CrossRef]
  18. Perrier, J.; Duivon, M.; Rauchs, G.; Giffard, B. Le sommeil dans les cancers non-cérébraux: Revue de la littérature, mécanismes potentiels et perspectives pour mieux comprendre les troubles cognitifs associés. Médecine Du Sommeil 2021, 18, 90–103. [Google Scholar] [CrossRef]
  19. Ancoli-Israel, S.; Liu, L.; Natarajan, L.; Rissling, M.; Neikrug, A.B.; Youngstedt, S.D.; Mills, P.J.; Sadler, G.R.; Dimsdale, J.E.; Parker, B.A.; et al. Reductions in Sleep Quality and Circadian Activity Rhythmicity Predict Longitudinal Changes in Objective and Subjective Cognitive Functioning in Women Treated for Breast Cancer. Support. Care Cancer 2022, 30, 3187–3200. [Google Scholar] [CrossRef]
  20. Lin, H.-H.; Farkas, M.E. Altered Circadian Rhythms and Breast Cancer: From the Human to the Molecular Level. Front. Endocrinol. 2018, 9, 219. [Google Scholar] [CrossRef]
  21. Cash, E.; Sephton, S.E.; Chagpar, A.B.; Spiegel, D.; Rebholz, W.N.; Zimmaro, L.A.; Tillie, J.M.; Dhabhar, F.S. Circadian Disruption and Biomarkers of Tumor Progression in Breast Cancer Patients Awaiting Surgery. Brain Behav. Immun. 2015, 48, 102–114. [Google Scholar] [CrossRef] [PubMed]
  22. Roth, T. Insomnia: Definition, Prevalence, Etiology, and Consequences. J. Clin. Sleep Med. 2007, 3, s7–s10. [Google Scholar] [CrossRef] [PubMed]
  23. Fiorentino, L.; Ancoli-Israel, S. Insomnia and Its Treatment in Women with Breast Cancer. Sleep Med. Rev. 2006, 10, 419–429. [Google Scholar] [CrossRef] [PubMed]
  24. Sung, H.; Ferlay, J.; Siegel, R.L.; Laversanne, M.; Soerjomataram, I.; Jemal, A.; Bray, F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J. Clin. 2021, 71, 209–249. [Google Scholar] [CrossRef]
  25. Leysen, L.; Lahousse, A.; Nijs, J.; Adriaenssens, N.; Mairesse, O.; Ivakhnov, S.; Bilterys, T.; Van Looveren, E.; Pas, R.; Beckwée, D. Prevalence and Risk Factors of Sleep Disturbances in Breast Cancersurvivors: Systematic Review and Meta-Analyses. Support. Care Cancer 2019, 27, 4401–4433. [Google Scholar] [CrossRef]
  26. Ancoli-Israel, S. Sleep Disturbances in Cancer: A Review. Sleep Med. Res. 2015, 6, 45–49. [Google Scholar] [CrossRef]
  27. Savard, J.; Savard, M.-H. Insomnia and Cancer: Prevalence, Nature, and Nonpharmacologic Treatment. Sleep Med. Clin. 2013, 8, 373–387. [Google Scholar] [CrossRef]
  28. Fleming, L.; Randell, K.; Stewart, E.; Espie, C.A.; Morrison, D.S.; Lawless, C.; Paul, J. Insomnia in Breast Cancer: A Prospective Observational Study. Sleep 2019, 42, zsy245. [Google Scholar] [CrossRef]
  29. Costa, A.R.; Fontes, F.; Pereira, S.; Gonçalves, M.; Azevedo, A.; Lunet, N. Impact of Breast Cancer Treatments on Sleep Disturbances—A Systematic Review. Breast 2014, 23, 697–709. [Google Scholar] [CrossRef]
  30. Otte, J.L.; Carpenter, J.S.; Manchanda, S.; Rand, K.L.; Skaar, T.C.; Weaver, M.; Chernyak, Y.; Zhong, X.; Igega, C.; Landis, C. Systematic Review of Sleep Disorders in Cancer Patients: Can the Prevalence of Sleep Disorders Be Ascertained? Cancer Med. 2015, 4, 183–200. [Google Scholar] [CrossRef]
  31. Jakobsen, G.; Gjeilo, K.H.; Hjermstad, M.J.; Klepstad, P. An Update on Prevalence, Assessment, and Risk Factors for Sleep Disturbances in Patients with Advanced Cancer-Implications for Health Care Providers and Clinical Research. Cancers 2022, 14, 3933. [Google Scholar] [CrossRef] [PubMed]
  32. Ancoli-Israel, S.; Liu, L.; Marler, M.R.; Parker, B.A.; Jones, V.; Sadler, G.R.; Dimsdale, J.; Cohen-Zion, M.; Fiorentino, L. Fatigue, Sleep, and Circadian Rhythms Prior to Chemotherapy for Breast Cancer. Support. Care Cancer 2006, 14, 201–209. [Google Scholar] [CrossRef] [PubMed]
  33. Berger, A.M.; Farr, L.A.; Kuhn, B.R.; Fischer, P.; Agrawal, S. Values of Sleep/Wake, Activity/Rest, Circadian Rhythms, and Fatigue Prior to Adjuvant Breast Cancer Chemotherapy. J. Pain Symptom Manag. 2007, 33, 398–409. [Google Scholar] [CrossRef]
  34. Barreira, T.V.; Schuna, J.M.; Chaput, J.-P. Normative reference values for actigraphy-measured total nocturnal sleep time in the us population. Am. J. Epidemiol. 2022, 191, 360–362. [Google Scholar] [CrossRef] [PubMed]
  35. Kreutz, C.; Müller, J.; Schmidt, M.E.; Steindorf, K. Comparison of Subjectively and Objectively Assessed Sleep Problems in Breast Cancer Patients Starting Neoadjuvant Chemotherapy. Support. Care Cancer 2021, 29, 1015–1023. [Google Scholar] [CrossRef] [PubMed]
  36. Trivedi, R.; Man, H.; Madut, A.; Mather, M.; Elder, E.; Dhillon, H.M.; Brand, A.; Howle, J.; Mann, G.; DeFazio, A.; et al. Irregular Sleep/Wake Patterns Are Associated with Reduced Quality of Life in Post-Treatment Cancer Patients: A Study Across Three Cancer Cohorts. Front. Neurosci. 2021, 15, 700923. [Google Scholar] [CrossRef]
  37. Ratcliff, C.G.; Zepeda, S.G.; Hall, M.H.; Tullos, E.A.; Fowler, S.; Chaoul, A.; Spelman, A.; Arun, B.; Cohen, L. Patient Characteristics Associated with Sleep Disturbance in Breast Cancer Survivors. Support. Care Cancer 2021, 29, 2601–2611. [Google Scholar] [CrossRef]
  38. Natale, V.; Plazzi, G.; Martoni, M. Actigraphy in the Assessment of Insomnia: A Quantitative Approach. Sleep 2009, 32, 767–771. [Google Scholar] [CrossRef]
  39. Liu, L.; Rissling, M.; Natarajan, L.; Fiorentino, L.; Mills, P.J.; Dimsdale, J.E.; Sadler, G.R.; Parker, B.A.; Ancoli-Israel, S. The Longitudinal Relationship between Fatigue and Sleep in Breast Cancer Patients Undergoing Chemotherapy. Sleep 2012, 35, 237–245. [Google Scholar] [CrossRef]
  40. Liu, L.; Rissling, M.; Neikrug, A.; Fiorentino, L.; Natarajan, L.; Faierman, M.; Sadler, G.R.; Dimsdale, J.E.; Mills, P.J.; Parker, B.A.; et al. Fatigue and Circadian Activity Rhythms in Breast Cancer Patients Before and After Chemotherapy: A Controlled Study. Fatigue 2013, 1, 12–26. [Google Scholar] [CrossRef]
  41. Kuo, H.-H.; Chiu, M.-J.; Liao, W.-C.; Hwang, S.-L. Quality of Sleep and Related Factors during Chemotherapy in Patients with Stage I/II Breast Cancer. J. Formos. Med. Assoc. 2006, 105, 64–69. [Google Scholar] [CrossRef] [PubMed]
  42. Ancoli-Israel, S.; Liu, L.; Rissling, M.; Natarajan, L.; Neikrug, A.B.; Palmer, B.W.; Mills, P.J.; Parker, B.A.; Sadler, G.R.; Maglione, J. Sleep, Fatigue, Depression, and Circadian Activity Rhythms in Women with Breast Cancer before and after Treatment: A 1-Year Longitudinal Study. Support. Care Cancer 2014, 22, 2535–2545. [Google Scholar] [CrossRef] [PubMed]
  43. Payne, J.; Piper, B.; Rabinowitz, I.; Zimmerman, B. Biomarkers, Fatigue, Sleep, and Depressive Symptoms in Women with Breast Cancer: A Pilot Study. Oncol. Nurs. Forum 2006, 33, 775–783. [Google Scholar] [CrossRef]
  44. Liu, L.; Mills, P.J.; Rissling, M.; Fiorentino, L.; Natarajan, L.; Dimsdale, J.E.; Sadler, G.R.; Parker, B.A.; Ancoli-Israel, S. Fatigue and Sleep Quality Are Associated with Changes in Inflammatory Markers in Breast Cancer Patients Undergoing Chemotherapy. Brain Behav. Immun. 2012, 26, 706–713. [Google Scholar] [CrossRef]
  45. Beck, S.L.; Berger, A.M.; Barsevick, A.M.; Wong, B.; Stewart, K.A.; Dudley, W.N. Sleep Quality after Initial Chemotherapy for Breast Cancer. Support. Care Cancer 2010, 18, 679–689. [Google Scholar] [CrossRef]
  46. Li, W.; Kwok, C.C.-H.; Chan, D.C.-W.; Ho, A.W.-Y.; Ho, C.-S.; Zhang, J.; Wing, Y.K.; Wang, F.; Tse, L.A. Disruption of Sleep, Sleep-Wake Activity Rhythm, and Nocturnal Melatonin Production in Breast Cancer Patients Undergoing Adjuvant Chemotherapy: Prospective Cohort Study. Sleep Med. 2019, 55, 14–21. [Google Scholar] [CrossRef] [PubMed]
  47. Madsen, M.T.; Huang, C.; Gögenur, I. Actigraphy for Measurements of Sleep in Relation to Oncological Treatment of Patients with Cancer: A Systematic Review. Sleep Med. Rev. 2015, 20, 73–83. [Google Scholar] [CrossRef]
  48. Bhave, M.A.; Speth, K.A.; Kidwell, K.M.; Lyden, A.; Alsamarraie, C.; Murphy, S.L.; Henry, N.L. Effect of Aromatase Inhibitor Therapy on Sleep and Activity Patterns in Early-Stage Breast Cancer. Clin. Breast Cancer 2018, 18, 168–174.e2. [Google Scholar] [CrossRef]
  49. Martin, T.; Duivon, M.; Bessot, N.; Grellard, J.M.; Emile, G.; Polvent, S.; Raoul, L.; Viader, F.; Eustache, F.; Joly, F.; et al. Rest Activity Rhythms Characteristics of Breast Cancer Women Following Endocrine Therapy. Sleep 2021, 45, zsab248. [Google Scholar] [CrossRef]
  50. Dhruva, A.; Paul, S.M.; Cooper, B.A.; Lee, K.; West, C.; Aouizerat, B.E.; Dunn, L.B.; Swift, P.S.; Wara, W.; Miaskowski, C. A Longitudinal Study of Measures of Objective and Subjective Sleep Disturbance in Patients with Breast Cancer before, during, and after Radiation Therapy. J. Pain Symptom Manag. 2012, 44, 215–228. [Google Scholar] [CrossRef]
  51. Silberfarb, P.M.; Hauri, P.J.; Oxman, T.E.; Schnurr, P. Assessment of Sleep in Patients with Lung Cancer and Breast Cancer. J. Clin. Oncol. 1993, 11, 997–1004. [Google Scholar] [CrossRef] [PubMed]
  52. Roscoe, J.A.; Perlis, M.L.; Pigeon, W.R.; O’Neill, K.H.; Heckler, C.E.; Matteson-Rusby, S.E.; Palesh, O.G.; Shayne, M.; Huston, A. Few Changes Observed in Polysomnographic-Assessed Sleep before and after Completion of Chemotherapy. J. Psychosom. Res. 2011, 71, 423–428. [Google Scholar] [CrossRef]
  53. Tag Eldin, E.-S.; Younis, S.G.; Aziz, L.M.A.E.; Eldin, A.T.; Erfan, S.T. Evaluation of Sleep Pattern Disorders in Breast Cancer Patients Receiving Adjuvant Treatment (Chemotherapy and/or Radiotherapy) Using Polysomnography. J. Buon 2019, 24, 529–534. [Google Scholar] [PubMed]
  54. Parker, K.P.; Bliwise, D.L.; Ribeiro, M.; Jain, S.R.; Vena, C.I.; Kohles-Baker, M.K.; Rogatko, A.; Xu, Z.; Harris, W.B. Sleep/Wake Patterns of Individuals with Advanced Cancer Measured by Ambulatory Polysomnography. J. Clin. Oncol. Off. J. Am. Soc. Clin. Oncol. 2008, 26, 2464–2472. [Google Scholar] [CrossRef] [PubMed]
  55. Williams, R.L.; Karacan, I.; Hursch, C.J. Electroencephalography (EEG) of Human Sleep: Clinical Applications; John Wiley & Sons: Hoboken, NJ, USA, 1974. [Google Scholar]
  56. Gonçalves, B.; Adamowicz, T.; Louzada, F.M.; Moreno, C.R.; Araujo, J.F. A Fresh Look at the Use of Nonparametric Analysis in Actimetry. Sleep Med. Rev. 2015, 20, 84–91. [Google Scholar] [CrossRef] [PubMed]
  57. Carpenter, J.S.; Gautam, S.; Freedman, R.R.; Andrykowski, M. Circadian Rhythm of Objectively Recorded Hot Flashes in Postmenopausal Breast Cancer Survivors. Menopause 2001, 8, 181–188. [Google Scholar] [CrossRef]
  58. Abercrombie, H.C.; Giese-Davis, J.; Sephton, S.; Epel, E.S.; Turner-Cobb, J.M.; Spiegel, D. Flattened Cortisol Rhythms in Metastatic Breast Cancer Patients. Psychoneuroendocrinology 2004, 29, 1082–1092. [Google Scholar] [CrossRef]
  59. Hsiao, F.-H.; Jow, G.-M.; Kuo, W.-H.; Wang, M.-Y.; Chang, K.-J.; Lai, Y.-M.; Chen, Y.-T.; Huang, C.-S. A Longitudinal Study of Diurnal Cortisol Patterns and Associated Factors in Breast Cancer Patients from the Transition Stage of the End of Active Cancer Treatment to Post-Treatment Survivorship. Breast 2017, 36, 96–101. [Google Scholar] [CrossRef]
  60. Savard, J.; Liu, L.; Natarajan, L.; Rissling, M.B.; Neikrug, A.B.; He, F.; Dimsdale, J.E.; Mills, P.J.; Parker, B.A.; Sadler, G.R.; et al. Breast Cancer Patients Have Progressively Impaired Sleep-Wake Activity Rhythms during Chemotherapy. Sleep 2009, 32, 1155–1160. [Google Scholar] [CrossRef]
  61. Sultan, A.; Choudhary, V.; Parganiha, A. Worsening of Rest-Activity Circadian Rhythm and Quality of Life in Female Breast Cancer Patients along Progression of Chemotherapy Cycles. Chronobiol. Int. 2017, 34, 609–623. [Google Scholar] [CrossRef]
  62. Roveda, E.; Bruno, E.; Galasso, L.; Mulè, A.; Castelli, L.; Villarini, A.; Caumo, A.; Esposito, F.; Montaruli, A.; Pasanisi, P. Rest-Activity Circadian Rhythm in Breast Cancer Survivors at 5 Years after the Primary Diagnosis. Chronobiol. Int. 2019, 36, 1156–1165. [Google Scholar] [CrossRef] [PubMed]
  63. Galasso, L.; Montaruli, A.; Mulè, A.; Castelli, L.; Bruno, E.; Pasanisi, P.; Caumo, A.; Esposito, F.; Roveda, E. Rest-Activity Rhythm in Breast Cancer Survivors: An Update Based on Non-Parametric Indices. Chronobiol. Int. 2020, 37, 946–951. [Google Scholar] [CrossRef] [PubMed]
  64. De Rooij, B.H.; Ramsey, I.; Clouth, F.J.; Corsini, N.; Heyworth, J.S.; Lynch, B.M.; Vallance, J.K.; Boyle, T. The Association of Circadian Parameters and the Clustering of Fatigue, Depression, and Sleep Problems in Breast Cancer Survivors: A Latent Class Analysis. J. Cancer Surviv. 2022, 1–11. [Google Scholar] [CrossRef]
  65. Komarzynski, S.; Huang, Q.; Lévi, F.A.; Palesh, O.G.; Ulusakarya, A.; Bouchahda, M.; Haydar, M.; Wreglesworth, N.I.; Morère, J.-F.; Adam, R.; et al. The Day after: Correlates of Patient-Reported Outcomes with Actigraphy-Assessed Sleep in Cancer Patients at Home (InCASA Project). Sleep 2019, 42, zsz146. [Google Scholar] [CrossRef] [PubMed]
  66. Stehle, J.H.; von Gall, C.; Korf, H.-W. Melatonin: A Clock-Output, a Clock-Input. J. Neuroendocr. 2003, 15, 383–389. [Google Scholar] [CrossRef]
  67. Cherrie, J.W. Shedding Light on the Association between Night Work and Breast Cancer. Ann. Work Expo. Health 2019, 63, 608–611. [Google Scholar] [CrossRef]
  68. Sephton, S.; Spiegel, D. Circadian Disruption in Cancer: A Neuroendocrine-Immune Pathway from Stress to Disease? Brain Behav. Immun. 2003, 17, 321–328. [Google Scholar] [CrossRef]
  69. Sephton, S.E.; Sapolsky, R.M.; Kraemer, H.C.; Spiegel, D. Diurnal Cortisol Rhythm as a Predictor of Breast Cancer Survival. J. Natl. Cancer Inst. 2000, 92, 994–1000. [Google Scholar] [CrossRef]
  70. Eismann, E.A.; Lush, E.; Sephton, S.E. Circadian Effects in Cancer-Relevant Psychoneuroendocrine and Immune Pathways. Psychoneuroendocrinology 2010, 35, 963–976. [Google Scholar] [CrossRef]
  71. Zeitzer, J.M.; Nouriani, B.; Rissling, M.B.; Sledge, G.W.; Kaplan, K.A.; Aasly, L.; Palesh, O.; Jo, B.; Neri, E.; Dhabhar, F.S.; et al. Aberrant Nocturnal Cortisol and Disease Progression in Women with Breast Cancer. Breast Cancer Res. Treat. 2016, 158, 43–50. [Google Scholar] [CrossRef]
  72. Palesh, O.; Aldridge-Gerry, A.; Zeitzer, J.M.; Koopman, C.; Neri, E.; Giese-Davis, J.; Jo, B.; Kraemer, H.; Nouriani, B.; Spiegel, D. Actigraphy-Measured Sleep Disruption as a Predictor of Survival among Women with Advanced Breast Cancer. Sleep 2014, 37, 837–842. [Google Scholar] [CrossRef] [PubMed]
  73. Lu, C.; Sun, H.; Huang, J.; Yin, S.; Hou, W.; Zhang, J.; Wang, Y.; Xu, Y.; Xu, H. Long-Term Sleep Duration as a Risk Factor for Breast Cancer: Evidence from a Systematic Review and Dose-Response Meta-Analysis. Biomed. Res. Int. 2017, 2017, 4845059. [Google Scholar] [CrossRef] [PubMed]
  74. Song, C.; Zhang, R.; Wang, C.; Fu, R.; Song, W.; Dou, K.; Wang, S. Sleep Quality and Risk of Cancer: Findings from the English Longitudinal Study of Aging. Sleep 2021, 44, zsaa192. [Google Scholar] [CrossRef]
  75. Rosenberg, R.P.; Benca, R.; Doghramji, P.; Roth, T. A 2023 Update on Managing Insomnia in Primary Care: Insights From an Expert Consensus Group. Prim. Care Companion CNS Disord. 2023, 25, 22nr03385. [Google Scholar] [CrossRef] [PubMed]
  76. Yue, J.-L.; Chang, X.-W.; Zheng, J.-W.; Shi, L.; Xiang, Y.-J.; Que, J.-Y.; Yuan, K.; Deng, J.-H.; Teng, T.; Li, Y.-Y.; et al. Efficacy and Tolerability of Pharmacological Treatments for Insomnia in Adults: A Systematic Review and Network Meta-Analysis. Sleep Med. Rev. 2023, 68, 101746. [Google Scholar] [CrossRef] [PubMed]
  77. Amato, J.-N.; Marie, S.; Lelong-Boulouard, V.; Paillet-Loilier, M.; Berthelon, C.; Coquerel, A.; Denise, P.; Bocca, M.-L. Effects of Three Therapeutic Doses of Codeine/Paracetamol on Driving Performance, a Psychomotor Vigilance Test, and Subjective Feelings. Psychopharmacology 2013, 228, 309–320. [Google Scholar] [CrossRef] [PubMed]
  78. Greenlee, H.; DuPont-Reyes, M.J.; Balneaves, L.G.; Carlson, L.E.; Cohen, M.R.; Deng, G.; Johnson, J.A.; Mumber, M.; Seely, D.; Zick, S.M.; et al. Clinical Practice Guidelines on the Evidence-Based Use of Integrative Therapies during and after Breast Cancer Treatment. CA A Cancer J. Clin. 2017, 67, 194–232. [Google Scholar] [CrossRef]
  79. Lahart, I.M.; Metsios, G.S.; Nevill, A.M.; Carmichael, A.R. Physical Activity for Women with Breast Cancer after Adjuvant Therapy. Cochrane Database Syst. Rev. 2018, 1, CD011292. [Google Scholar] [CrossRef]
  80. Landry, S.; Chasles, G.; Pointreau, Y.; Bourgeois, H.; Boyas, S. Influence of an Adapted Physical Activity Program on Self-Esteem and Quality of Life of Breast Cancer Patients after Mastectomy. Oncology 2018, 95, 188–191. [Google Scholar] [CrossRef]
  81. Savard, J.; Ivers, H.; Savard, M.-H.; Morin, C.M. Long-Term Effects of Two Formats of Cognitive Behavioral Therapy for Insomnia Comorbid with Breast Cancer. Sleep 2016, 39, 813–823. [Google Scholar] [CrossRef]
  82. Zhang, M.; Huang, L.; Feng, Z.; Shao, L.; Chen, L. Effects of Cognitive Behavioral Therapy on Quality of Life and Stress for Breast Cancer Survivors: A Meta-Analysis. Minerva Med. 2017, 108, 84–93. [Google Scholar] [CrossRef] [PubMed]
  83. Bernard, P.; Savard, J.; Steindorf, K.; Sweegers, M.G.; Courneya, K.S.; Newton, R.U.; Aaronson, N.K.; Jacobsen, P.B.; May, A.M.; Galvao, D.A.; et al. Effects and Moderators of Exercise on Sleep in Adults with Cancer: Individual Patient Data and Aggregated Meta-Analyses. J. Psychosom. Res. 2019, 124, 109746. [Google Scholar] [CrossRef] [PubMed]
  84. Amidi, A.; Buskbjerg, C.R.; Damholdt, M.F.; Dahlgaard, J.; Thorndike, F.P.; Ritterband, L.; Zachariae, R. Changes in Sleep Following Internet-Delivered Cognitive-Behavioral Therapy for Insomnia in Women Treated for Breast Cancer: A 3-Year Follow-up Assessment. Sleep Med. 2022, 96, 35–41. [Google Scholar] [CrossRef] [PubMed]
  85. Kreutz, C.; Schmidt, M.E.; Steindorf, K. Effects of Physical and Mind-Body Exercise on Sleep Problems during and after Breast Cancer Treatment: A Systematic Review and Meta-Analysis. Breast Cancer Res. Treat. 2019, 176, 1–15. [Google Scholar] [CrossRef] [PubMed]
  86. Mercier, J.; Savard, J.; Bernard, P. Exercise Interventions to Improve Sleep in Cancer Patients: A Systematic Review and Meta-Analysis. Sleep Med. Rev. 2017, 36, 43–56. [Google Scholar] [CrossRef] [PubMed]
  87. Ma, Y.; Hall, D.L.; Ngo, L.H.; Liu, Q.; Bain, P.A.; Yeh, G.Y. Efficacy of Cognitive Behavioral Therapy for Insomnia in Breast Cancer: A Meta-Analysis. Sleep Med. Rev. 2021, 55, 101376. [Google Scholar] [CrossRef] [PubMed]
  88. Qiu, H.; Ren, W.; Yang, Y.; Zhu, X.; Mao, G.; Mao, S.; Lin, Y.; Shen, S.; Li, C.; Shi, H.; et al. Effects of Cognitive Behavioral Therapy for Depression on Improving Insomnia and Quality of Life in Chinese Women with Breast Cancer: Results of a Randomized, Controlled, Multicenter Trial. Neuropsychiatr. Dis. Treat. 2018, 14, 2665–2673. [Google Scholar] [CrossRef]
  89. Gao, Y.; Liu, M.; Yao, L.; Yang, Z.; Chen, Y.; Niu, M.; Sun, Y.; Chen, J.; Hou, L.; Sun, F.; et al. Cognitive Behavior Therapy for Insomnia in Cancer Patients: A Systematic Review and Network Meta-Analysis. J. Evid. Based Med. 2022, 15, 216–229. [Google Scholar] [CrossRef]
  90. Matthews, E.E.; Arnedt, J.T.; McCarthy, M.S.; Cuddihy, L.J.; Aloia, M.S. Adherence to Cognitive Behavioral Therapy for Insomnia: A Systematic Review. Sleep Med. Rev. 2013, 17, 453–464. [Google Scholar] [CrossRef]
  91. Johnson, J.A.; Rash, J.A.; Campbell, T.S.; Savard, J.; Gehrman, P.R.; Perlis, M.; Carlson, L.E.; Garland, S.N. A Systematic Review and Meta-Analysis of Randomized Controlled Trials of Cognitive Behavior Therapy for Insomnia (CBT-I) in Cancer Survivors. Sleep Med. Rev. 2016, 27, 20–28. [Google Scholar] [CrossRef]
  92. Wampler, M.A.; Topp, K.S.; Miaskowski, C.; Byl, N.N.; Rugo, H.S.; Hamel, K. Quantitative and Clinical Description of Postural Instability in Women with Breast Cancer Treated with Taxane Chemotherapy. Arch. Phys. Med. Rehabil. 2007, 88, 1002–1008. [Google Scholar] [CrossRef] [PubMed]
  93. Medina, H.N.; Liu, Q.; Cao, C.; Yang, L. Balance and Vestibular Function and Survival in US Cancer Survivors. Cancer 2021, 127, 4022–4029. [Google Scholar] [CrossRef] [PubMed]
  94. Monfort, S.M.; Pan, X.; Patrick, R.; Singaravelu, J.; Loprinzi, C.L.; Lustberg, M.B.; Chaudhari, A.M.W. Natural History of Postural Instability in Breast Cancer Patients Treated with Taxane-Based Chemotherapy: A Pilot Study. Gait Posture 2016, 48, 237–242. [Google Scholar] [CrossRef] [PubMed]
  95. Winters-Stone, K.M.; Torgrimson, B.; Horak, F.; Eisner, A.; Nail, L.; Leo, M.C.; Chui, S.; Luoh, S.-W. Identifying Factors Associated With Falls in Postmenopausal Breast Cancer Survivors: A Multi-Disciplinary Approach. Arch. Phys. Med. Rehabil. 2011, 92, 646–652. [Google Scholar] [CrossRef] [PubMed]
  96. Martin, T.; Mauvieux, B.; Bulla, J.; Quarck, G.; Davenne, D.; Denise, P.; Philoxène, B.; Besnard, S. Vestibular Loss Disrupts Daily Rhythm in Rats. J. Appl. Physiol. 2015, 118, 310–318. [Google Scholar] [CrossRef]
  97. Martin, T.; Moussay, S.; Bulla, I.; Bulla, J.; Toupet, M.; Etard, O.; Denise, P.; Davenne, D.; Coquerel, A.; Quarck, G. Exploration of Circadian Rhythms in Patients with Bilateral Vestibular Loss. PLoS ONE 2016, 11, e0155067. [Google Scholar] [CrossRef]
  98. Besnard, S.; Tighilet, B.; Chabbert, C.; Hitier, M.; Toulouse, J.; Le Gall, A.; Machado, M.-L.; Smith, P.F. The Balance of Sleep: Role of the Vestibular Sensory System. Sleep Med. Rev. 2018, 42, 220–228. [Google Scholar] [CrossRef]
  99. Fuller, P.M.; Jones, T.A.; Jones, S.M.; Fuller, C.A. Neurovestibular Modulation of Circadian and Homeostatic Regulation: Vestibulohypothalamic Connection? Proc. Natl. Acad. Sci. USA 2002, 99, 15723–15728. [Google Scholar] [CrossRef]
  100. Fuller, P.M.; Jones, T.A.; Jones, S.M.; Fuller, C.A. Evidence for Macular Gravity Receptor Modulation of Hypothalamic, Limbic and Autonomic Nuclei. Neuroscience 2004, 129, 461–471. [Google Scholar] [CrossRef]
  101. Fuller, P.M.; Fuller, C.A. Genetic Evidence for a Neurovestibular Influence on the Mammalian Circadian Pacemaker. J. Biol. Rhythm. 2006, 21, 177–184. [Google Scholar] [CrossRef]
  102. Pasquier, F.; Bessot, N.; Martin, T.; Gauthier, A.; Bulla, J.; Denise, P.; Quarck, G. Effect of Vestibular Stimulation Using a Rotatory Chair in Human Rest/Activity Rhythm. Chronobiol. Int. 2020, 37, 1244–1251. [Google Scholar] [CrossRef] [PubMed]
  103. Micarelli, A.; Viziano, A.; Pistillo, R.; Granito, I.; Micarelli, B.; Alessandrini, M. Sleep Performance and Chronotype Behavior in Unilateral Vestibular Hypofunction. Laryngoscope 2021, 131, 2341–2347. [Google Scholar] [CrossRef] [PubMed]
  104. Albathi, M.; Agrawal, Y. Vestibular Vertigo Is Associated with Abnormal Sleep Duration. J. Vestib. Res. Equilib. Orientat. 2017, 27, 127–135. [Google Scholar] [CrossRef] [PubMed]
  105. Pace, A.; Milani, A.; Rossetti, V.; Iannella, G.; Maniaci, A.; Cocuzza, S.; Alunni Fegatelli, D.; Vestri, A.; Magliulo, G. Evaluation of Vestibular Function in Patients Affected by Obstructive Sleep Apnea Performing Functional Head Impulse Test (FHIT). Nat. Sci. Sleep 2022, 14, 475–482. [Google Scholar] [CrossRef]
  106. Cheung, I.C.W.; Thorne, P.R.; Hussain, S.; Neeff, M.; Sommer, J.U. The Relationship between Obstructive Sleep Apnea with Hearing and Balance: A Scoping Review. Sleep Med. 2022, 95, 55–75. [Google Scholar] [CrossRef]
  107. Sugaya, N.; Arai, M.; Goto, F. The Effect of Vestibular Rehabilitation on Sleep Disturbance in Patients with Chronic Dizziness. Acta Oto-Laryngol. 2017, 137, 275–278. [Google Scholar] [CrossRef]
  108. Bayer, L.; Constantinescu, I.; Perrig, S.; Vienne, J.; Vidal, P.-P.; Mühlethaler, M.; Schwartz, S. Rocking Synchronizes Brain Waves during a Short Nap. Curr. Biol. 2011, 21, R461–R462. [Google Scholar] [CrossRef]
  109. Perrault, A.A.; Khani, A.; Quairiaux, C.; Kompotis, K.; Franken, P.; Muhlethaler, M.; Schwartz, S.; Bayer, L. Whole-Night Continuous Rocking Entrains Spontaneous Neural Oscillations with Benefits for Sleep and Memory. Curr. Biol. 2019, 29, 402–411.e3. [Google Scholar] [CrossRef]
  110. Baek, S.; Yu, H.; Roh, J.; Lee, J.; Sohn, I.; Kim, S.; Park, C. Effect of a Recliner Chair with Rocking Motions on Sleep Efficiency. Sensors 2021, 21, 8214. [Google Scholar] [CrossRef]
  111. Kompotis, K.; Hubbard, J.; Emmenegger, Y.; Perrault, A.; Mühlethaler, M.; Schwartz, S.; Bayer, L.; Franken, P. Rocking Promotes Sleep in Mice through Rhythmic Stimulation of the Vestibular System. Curr. Biol. 2019, 29, 392–401.e4. [Google Scholar] [CrossRef]
  112. Van Sluijs, R.M.; Rondei, Q.J.; Schluep, D.; Jäger, L.; Riener, R.; Achermann, P.; Wilhelm, E. Effect of Rocking Movements on Afternoon Sleep. Front. Neurosci. 2019, 13, 1446. [Google Scholar] [CrossRef]
  113. Van Sluijs, R.; Wilhelm, E.; Rondei, Q.; Omlin, X.; Crivelli, F.; Straumann, D.; Jäger, L.; Riener, R.; Achermann, P. Gentle Rocking Movements during Sleep in the Elderly. J. Sleep Res. 2020, 29, e12989. [Google Scholar] [CrossRef] [PubMed]
  114. Omlin, X.; Crivelli, F.; Näf, M.; Heinicke, L.; Skorucak, J.; Malafeev, A.; Fernandez Guerrero, A.; Riener, R.; Achermann, P. The Effect of a Slowly Rocking Bed on Sleep. Sci. Rep. 2018, 8, 2156. [Google Scholar] [CrossRef]
  115. Horowitz, S.S.; Blanchard, J.; Morin, L.P. Medial Vestibular Connections with the Hypocretin (Orexin) System. J. Comp. Neurol. 2005, 487, 127–146. [Google Scholar] [CrossRef]
  116. Cellini, N.; Mednick, S.C. Stimulating the Sleeping Brain: Current Approaches to Modulating Memory-Related Sleep Physiology. J. Neurosci. Methods 2019, 316, 125–136. [Google Scholar] [CrossRef] [PubMed]
  117. Fitzpatrick, R.C.; Day, B.L. Probing the Human Vestibular System with Galvanic Stimulation. J. Appl. Physiol. 2004, 96, 2301–2316. [Google Scholar] [CrossRef]
  118. Utz, K.S.; Dimova, V.; Oppenländer, K.; Kerkhoff, G. Electrified Minds: Transcranial Direct Current Stimulation (TDCS) and Galvanic Vestibular Stimulation (GVS) as Methods of Non-Invasive Brain Stimulation in Neuropsychology—A Review of Current Data and Future Implications. Neuropsychologia 2010, 48, 2789–2810. [Google Scholar] [CrossRef] [PubMed]
  119. Dlugaiczyk, J.; Gensberger, K.D.; Straka, H. Galvanic Vestibular Stimulation: From Basic Concepts to Clinical Applications. J. Neurophysiol. 2019, 121, 2237–2255. [Google Scholar] [CrossRef]
Table
Table 1. The main results related to circadian rhythm modifications in patients with breast cancer (BC), including melatonin, hot flushes, cortisol, and actigraphy-derived (rest-activity rhythm) parameters.
Table 1. The main results related to circadian rhythm modifications in patients with breast cancer (BC), including melatonin, hot flushes, cortisol, and actigraphy-derived (rest-activity rhythm) parameters.
Authors, YearMeasuresNGroupsCancer StagesTreatmentsTime of AssessmentsMain Results
Li et al., 2019 [46]Urinary melatonin180BCI–IIISurgery and CTBefore and during first and last cycles of CTMean levels of melatonin
Before CT < after CT
Carpenter et al., 2004 [57]Hot flashes using skin conductance21BC0–IIISurgery and RT and/or CTAfter treatments, >5 years post-diagnosisHigh variability in the rhythm of hot flashes
Abercrombie et al., 2004 [58,59]Salivary cortisol17
31		BC
HC		MetastaticNANARhythm over 24 h
BC < HC
Hsiao et al., 2017 [58,59]Salivary cortisol85BC0–IIISurgery and RT and/or CTBefore (T0) and
after treatments
(T0 + 2 months;
T0 + 5 months;
T0 + 8 months;
T0 + 14 months)		Flatter cortisol levels tend to recover over the course of treatments
Ancoli-Israël et al., 2014 [42,46,60]Actigraphy (3 h)68BC
HC		I–IIISurgery and RT and/or CTBefore CT and at Cycle 4 of CT and 1 year post-CTNaps time before CT
BC > HC
Robustness *
BC during Cycle 4 < before CT and HC
Naps time and robustness 1 year post-CT
BC = HC
Li et al., 2019 [42,46,60]Actigraphy (7 days)180BCI–IIISurgery and CTBefore and during first and last cycles of CTAmplitude, mean activity, and robustness *
Before CT > after CT
Savard et al., 2009 [42,46,60]Actigraphy (3 days)95BCI–IIISurgery and CT +
ET (27% of the sample)		Before CT and
at Cycle 1 and 4 of CT		Amplitude, mean activity, and robustness *
First week of each CT cycle < before CT
Roveda et al., 2019 [62]Actigraphy (7 days)15
13		BC
HC		NANA5 years post-diagnosisMean activity and amplitude BC < HC
Sultan et al., 2016 [62]Actigraphy (3–4 days)25BCIICTCycles 1, 3, and 6 of CT Mean activity and amplitude decreased over the course of CT
Shift in peak activity over the course of CT
Liu et al., 2013 [40]Actigraphy (3 days)79
61		BC
HC		I–IIISurgery or/and CTBefore CT and at the end of Cycle 4 of CTAmplitude and mean activity
Before CT > Cycle 4 of CT
Amplitude, robustness *, mean activity
Both before and after Cycle 4 of CT, BC < HC
Galasso et al., 2019 [63]Actigraphy (7 days)15
13		BC
HC		NANA5 years post-diagnosisIntradaily variability *
BC > HC
Martin et al., 2021 [49]Actigraphy (15 days)18
18
16		BC with ET
BC without ET
HC		0–IISurgery and RT6 months post-RTAmplitude
BC < HC
Interdaily stability *
ET− < HC
Note: N, number of participants in each group; BC, patients with breast cancer; HC, healthy controls; NA, unavailable; CT, chemotherapy; RT, radiotherapy; ET−, with/without endocrine therapy; *, the robustness of the rest-activity rhythm refers to the relative amplitude that is the relative difference between the 10 h with maximal activity and the 5 h with minimal activity. The interdaily stability is the ratio between the variance of the average 24 h pattern around the mean and the overall variance, with higher values indicative of rhythm stability. The intradaily variability is calculated as the ratio of the mean squares of the difference between successive hours and the mean squares around the grand mean. Comparisons are given in italic for ease of reading. See [56] for rest-activity measure definitions.
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MDPI and ACS Style

Perrier, J.; Galin, M.; Denise, P.; Giffard, B.; Quarck, G. Tackling Insomnia Symptoms through Vestibular Stimulation in Patients with Breast Cancer: A Perspective Paper. Cancers 2023, 15, 2904. https://doi.org/10.3390/cancers15112904

AMA Style

Perrier J, Galin M, Denise P, Giffard B, Quarck G. Tackling Insomnia Symptoms through Vestibular Stimulation in Patients with Breast Cancer: A Perspective Paper. Cancers. 2023; 15(11):2904. https://doi.org/10.3390/cancers15112904

Chicago/Turabian Style

Perrier, Joy, Melvin Galin, Pierre Denise, Bénédicte Giffard, and Gaëlle Quarck. 2023. "Tackling Insomnia Symptoms through Vestibular Stimulation in Patients with Breast Cancer: A Perspective Paper" Cancers 15, no. 11: 2904. https://doi.org/10.3390/cancers15112904

APA Style

Perrier, J., Galin, M., Denise, P., Giffard, B., & Quarck, G. (2023). Tackling Insomnia Symptoms through Vestibular Stimulation in Patients with Breast Cancer: A Perspective Paper. Cancers, 15(11), 2904. https://doi.org/10.3390/cancers15112904

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