Prospective Analyses of Cytokine Mediation of Sleep and Survival in the Context of Advanced Cancer

Racial differences in treatment adherence and response to acupuncture and cognitive behavioral therapy for insomnia among Black and White cancer survivors

BACKGROUND

Racial disparities in sleep are well-documented. However, evidence-based options for addressing these disparities are lacking in cancer populations. To inform future research on sleep interventions, this study aims to understand racial differences in treatment responses to acupuncture and cognitive behavioral therapy for insomnia (CBT-I) among Black and White cancer survivors.

METHODS

We conducted a secondary analysis of a comparative effectiveness trial evaluating acupuncture versus CBT-I for insomnia in cancer survivors. We compared insomnia severity, sleep characteristics, and co-morbid symptoms, as well as treatment attitudes, adherence, and responses among Black and White participants.

RESULTS

Among 156 cancer survivors (28% Black), Black survivors reported poorer sleep quality, longer sleep onset latency, and higher pain at baseline, compared to White survivors (all p < 0.05). Black survivors demonstrated lower adherence to CBT-I than White survivors (61.5% vs. 88.5%, p = 0.006), but their treatment response to CBT-I was similar to white survivors. Black survivors had similar adherence to acupuncture as white survivors (82.3% vs. 93.4%, p = 0.16), but they had greater reduction in insomnia severity with acupuncture (-3.0 points, 95% CI -5.4 to 0.4, p = 0.02).

CONCLUSION

This study identified racial differences in sleep characteristics, as well as treatment adherence and responses to CBT-I and acupuncture. To address racial disparities in sleep health, future research should focus on improving CBT-I adherence and confirming the effectiveness of acupuncture in Black cancer survivors.

Sleep Composition of Patients With Colorectal Cancer and Their Sleep-Partner Caregivers: Physical Health Correlates of Sleep Diary and Actigraphy Measurements

BACKGROUND

Disturbed sleep is frequently identified in adult patients with cancer and their caregivers, with detrimental impact on physical health. Less known is the extent to which self-reported and actigraph-measured sleep patterns are similar between patients and their sleep-partner caregivers, and how these different modes of sleep measurements are related to physical health.

METHODS

Patients diagnosed with colorectal cancer and their sleep-partner caregivers (81 dyads) completed a questionnaire for physical functioning and collected saliva samples for seven consecutive days, from which cortisol slope was quantified. Additionally, participants completed a daily sleep diary and wore actigraph for 14 consecutive days, from which sleep duration, sleep onset latency (SOL), and duration of wake after sleep onset (WASO) were calculated.

RESULTS

Participants reported sleep patterns that fell within or close to the optimal range, which were similar between patients and their caregivers. Self-reported and actigraph-measured sleep duration had moderate levels of agreement (ICC = 0.604), whereas SOL and WASO had poor agreement (ICC = 0.269). Among patients, longer self-reported WASO was associated with poorer physical health and flatter cortisol slope (p ≤ 0.013). Among caregivers, longer self-reported SOL was associated with poorer physical functioning, actigraph-measured WASO was associated with steeper cortisol slope, and longer self-reported sleep markers studied than actigraph-measured were associated with poorer physical functioning (p ≤ 0.042).

CONCLUSION

Findings suggest that employing multiple assessment modes for sleep and physical health is vital for comprehensive understanding of sleep health. Furthermore, when addressing patients' sleep health, it may be beneficial to include their sleep-partner caregivers who may experience similar disturbed sleep.

Sleep Disturbance as a Mediator of Lung Cancer Stigma on Psychological Distress and Physical Symptom Burden

OBJECTIVE

This study tested sleep disturbance as a mediator through which stigma and discrimination predict psychological distress and physical symptom burden in adults with lung cancer.

METHODS

Lung cancer patients on active oncological treatment ( N = 108; 74.1% stage IV) completed questionnaires on lung cancer stigma, sleep, distress, and physical symptoms at study entry and at 6- and 12-week follow-up. Mediation analyses were conducted to investigate whether stigma and discrimination predicted distress and physical symptoms at study entry and across 12 weeks through disrupted sleep.

RESULTS

Higher discrimination ( b = 5.52, 95% confidence interval [CI] = 2.10-8.94) and constrained disclosure ( b = 0.45, 95% CI = 0.05-0.85) were associated significantly with higher sleep disruption at study entry. Sleep disruption, in turn, was associated with higher distress ( b = 0.19, 95% CI = 0.09-0.29) and physical symptoms ( b = 0.28, 95% CI = 0.17-0.40) at study entry. Sleep disruption significantly mediated relationships between higher discrimination and the outcomes of distress (indirect effect = 1.04, 95% CI = 0.13-1.96) and physical symptoms (indirect effect = 1.58, 95% CI = 0.37-2.79) at study entry. Sleep disruption also mediated relationships between constrained disclosure and the outcomes of distress (indirect effect = 0.85, 95% CI = < 0.01-0.17) and physical symptoms (indirect effect = 0.13, 95% CI = 0.01-0.25).

CONCLUSIONS

Lung cancer patients evidenced pronounced sleep disruption, which mediated relationships between indicators of lung cancer stigma and distress and physical symptoms at study entry. Research is needed to test additional mechanisms through which lung cancer stigma predicts these outcomes longitudinally.

A latent profile analysis of resilience and their relation to differences in sleep quality in patients with lung cancer

PURPOSE

Sleep problems are a significant issue in patients with lung cancer, and resilience is a closely related factor. However, few studies have identified subgroups of resilience and their relationship with sleep quality. This study aimed to investigate whether there are different profiles of resilience in patients with lung cancer, to determine the sociodemographic characteristics of each subgroup, and to determine the relationship between resilience and sleep quality in different subgroups.

METHODS

A total of 303 patients with lung cancer from four tertiary hospitals in China completed the General Sociodemographic sheet, the Connor-Davidson Resilience Scale, and the Pittsburgh Sleep Quality Index. Latent profile analysis was applied to explore the latent profiles of resilience. Multivariate logistic regression was used to analyze the sociodemographic variables in each profile, and ANOVA was used to explore the relationships between resilience profiles and sleep quality.

RESULTS

The following three latent profiles were identified: the "high-resilience group" (30.2%), the "moderate-resilience group" (46.0%), and the "low-resilience group" (23.8%). Gender, place of residence, and average monthly household income significantly influenced the distribution of resilience in patients with lung cancer.

CONCLUSION

The resilience patterns of patients with lung cancer varied. It is suggested that health care providers screen out various types of patients with multiple levels of resilience and pay more attention to female, rural, and poor patients. Additionally, individual differences in resilience may provide an actionable means for addressing sleep problems.

Various interventions for cancer-related fatigue in patients with breast cancer: a systematic review and network meta-analysis

Purpose

To investigate the effects of various intervention approaches on cancer-related fatigue (CRF) in patients with breast cancer.

Method

Computer searches were conducted on PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP), and Wanfang databases from their establishment to June 2023. Selection was made using inclusion and exclusion criteria, and 77 articles were included to compare the effects of 12 interventions on patients with breast cancer.

Results

Seventy-seven studies with 12 various interventions were examined. The network findings indicated that cognitive behavioral therapy (CBT) (SMD, -1.56; 95%CI, -3.08~-0.04), Chinese traditional exercises (CTE) (SMD, -0.85; 95%CI, -1.34~-0.36), aerobic exercise (AE) (SMD, -0.77; 95%CI, -1.09~-0.45), multimodal exercise (ME) (SMD, -0.75; 95%CI, -1.26~-0.25), music interventions (MI) (SMD, -0.74; 95%CI, -1.45~-0.03), and yoga (YG) (SMD, -0.44; 95%CI, -0.83 to -0.06) can reduce CRF more than the control group (CG). For relaxation exercises (RE) (MD, -6.69; 95%CI, -9.81~-3.57), MI (MD, -5.45; 95%CI, -7.98~-2.92), AE (MD, -4.34; 95%CI, -5.90~-2.78), ME (MD, -3.47; 95%CI, -4.95~-1.99), YG (MD, -2.07; 95%CI, -3.56~-0.57), and mindfulness training (MD, -1.68; 95%CI, -2.91~-0.46), PSQI improvement was superior to CG. In addition, for CTE (MD, 11.39; 95%CI, 4.11-18.66), YG (MD, 11.28; 95%CI, 1.63-20.93), and AE (MD, 9.34; 95%CI, 0.26~18.42), Functional Assessment of Cancer Therapy-Breast improvement was superior to CG.

Conclusion

Cognitive behavioral therapy (CBT) is the most effective measure for alleviating CRF in patients with breast cancer and Relaxation exercises (RE) is the most effective measure for improving sleep quality. In addition, Chinese traditional exercises (CTE) is the best measure for enhancing quality of life. Additional randomized controlled trials (RCTs) are expected to further investigate the efficacy and mechanisms of these interventions.

Systematic review registration

https://www.crd.york.ac.uk/prospero/, identifier CRD42023471574.

Predictors and Consequences of Cancer and Non-Cancer-Related Pain in Those Diagnosed with Primary and Metastatic Cancers

OBJECTIVES

The aims of the study were to (1) describe types of pain in cancer patients, (2) examine the predictors and consequences of pain, (3) investigate the association between type of pain and survival, and (4) examine potential biological mediators of pain and survival.

METHODS

This was a secondary analysis of baseline data from patients diagnosed with cancer. Patients answered questionnaires that assessed sociodemographic characteristics, pain, depression, sleep, and fatigue. Blood was collected and cytokine assays were performed. Analysis of variance, Kaplan-Meier, and Cox regression survival analyses were used to test the aims.

RESULTS

Of the 779 patients diagnosed with cancer, the mean age was 63.5 years, 57.8% male, and 90.6% White. Of those who reported pain (total 70.3%), 46.5% stated their pain was cancer-related while 53.5% stated their pain was non-cancer-related. While both cancer and non-cancer-related pain was associated with depressive symptoms, fatigue, and sleep duration, those with cancer-related pain had significantly higher rates of depressive symptoms (F(1,516) = 21.217, p < 0.001) and fatigue (F(1,516) = 30.973, p < 0.001) but not poorer sleep (F(1,497) = 0.597, p = 0.440). After adjusting for sociodemographic, disease-related characteristics, depression, sleep duration, and morphine milligram equivalent, patient reports of cancer-related pain were significantly associated with poorer survival (HR = 0.646, 95% CI = 0.459-0.910, p = 0.012) compared to those with non-cancer-related pain, which was not associated with survival (HR = 1.022, 95% CI = 0.737-1.418, p = 0.896). Cytokines did not significantly mediate the link between pain and survival.

CONCLUSION

While nearly half of the pain reported was cancer-related, both types of pain resulted in greater symptom burden, but only cancer-related pain was associated with survival.

The Association Between Sleep Disturbance and Proinflammatory Markers in Patients With Cancer: A Meta-analysis

BACKGROUND

Sleep disturbance is one of the symptoms with high incidence and negative influence in patients with cancer. A better understanding of the biological factors associated with sleep disturbance is critical to predict, treat, and manage this condition.

OBJECTIVE

The aim of this study was to determine the correlation between sleep disturbance and proinflammatory markers in adult patients with cancer.

METHODS

A systematic search was conducted in 7 databases from inception to March 1, 2020, for this meta-analysis. Two reviewers independently screened the studies, extracted data, and appraised the quality of the studies. Meta-analyses were conducted using Stata 12.0 software.

RESULTS

Sixteen studies were included. Results indicated that sleep disturbance was associated with higher levels of the overall proinflammatory markers and that the effect size was small yet significant. Further subgroup analyses suggested that sleep disturbance was significantly associated with interleukin-6 and C-reactive protein, but not with interleukin-1β or tumor necrosis factor-α. Meta-regression results indicated that only the sample source affected the association between sleep disturbance and proinflammatory markers.

CONCLUSION

There was a positive relationship between sleep disturbance and selected proinflammatory markers in adult patients with cancer.

IMPLICATION FOR PRACTICE

This review provides empirical support for the association between sleep disturbance and certain proinflammatory markers. Healthcare providers can further explore specific biomarkers to precisely identify the individuals at risk of sleep disturbance and develop targeted strategies for therapeutic and clinical interventions.

Protocol of a dyadic sleep intervention for adult patients with cancer and their sleep-partner caregivers

Background

Sleep disturbance is common and problematic among both patients with cancer and their sleep partner caregivers. Although 70% of the general adult population sleep in the same bed with a significant other, as do adult cancer patients and their spousal/partner caregivers, and one's sleep affect the partner's sleep, existing psychobehavioral interventions have targeted patients' and caregivers' sleep problems independently.

Methods

We developed a new sleep intervention, My Sleep Our Sleep (MSOS), for both adult patients with cancer and their sleep-partner caregivers together. This protocol is to test the feasibility and acceptability as well as to provide preliminary efficacy of the MSOS intervention, which is a dyadic intervention designed to reduce sleep disturbance and improving sleep quality of both adult cancer patients and their sleep-partner caregivers (dyads). The intervention will be delivered weekly for 4 weeks. Questionnaire and daily sleep logs will be collected at baseline (T1) and one-week after conclusion of the intervention (T2). Satisfaction with the intervention will be assessed weekly for 4 weeks.

Results

We estimate 43 dyads be enrolled (43 patients and 43 sleep-partner caregivers). We expect >75% of eligible and screened dyads will enroll within the enrollment period, >80% of enrolled dyads will complete the intervention, and >80% of participants will report satisfaction across all acceptability measures. We also expect MSOS will reveal a small-to-medium effect on sleep efficiency (primary outcome), overall sleep disturbance, subjective sleep quality, and insomnia severity (secondary outcomes).

Conclusions

Results will inform the feasibility and acceptability of conducting a dyadic sleep intervention, and provide preliminary efficacy data to guide further refinement of the intervention content and procedure for adult patients with cancer and their sleep-partner caregivers.

Trial registration

NCT04712604 Clinicaltrials.gov.

Pre-Diagnosis Sleep Status and Survival after a Diagnosis of Ovarian Cancer: A Prospective Cohort Study

Objective: To explore if pre-diagnosis sleep status is associated with overall survival (OS) of ovarian cancer (OC). Methods: This is a prospective cohort study of 853 OC patients newly diagnosed between 2015 and 2020. Sleep status was measured by the Pittsburgh Sleep Quality Index (PSQI). Vital status of patients was obtained through active follow-up and linkage to medical records and cancer registry. The Cox proportional hazards regression model was utilized to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for aforementioned associations. Results: During the follow-up period (median: 37.57 months, interquartile: 25.00 to 50.17 months), 123 (18.39%) OC patients died. The HR (95%CI) for OS of OC was 2.13 (1.42−3.18) for sleeping after 22:00, compared with sleeping before 22:00; 2.43 (1.64−3.62) for poor sleep quality, compared to good sleep quality; 2.26 (1.37−3.72) for late bed-early rise and 1.93 (1.09−3.42) for late bed-late rise, compared with early bed-early rise; 0.40 (0.24−0.67) for night sleep duration of ≥7.5 h/day, compared with 7−7.5 h/day; 0.53 (0.29−0.98) for total sleep duration of ≥8 h/day, compared with 7.5−8 h/day. Further, the interaction effects were significant between residual lesions and wake-up time, night bedtime, sleep pattern, and between total sleep duration and menopausal status, parity. Additionally, there was a significant curvilinear association between PSQI score and OS (p nonlinear <0.05). Conclusions: Pre-diagnosis longer total and night sleep duration were associated with better OS, whereas later sleeping time, poor sleep quality, and bad sleep patterns were associated with poor OS among OC survivors.

Prevalence of Sleep Disturbance in Patients With Cancer: A Systematic Review and Meta-Analysis

Sleep disturbance is one of the most common and troubling symptoms that harm the quality of life throughout all phases of treatment and stages of the illness among patients with cancer. The aim of this meta-analysis is to examine the present status of sleep disturbance prevalence in patients with cancer. The following databases were searched: PubMed, CINAHL, MEDLINE, EMBASE, PsycINFO, from inception to April 2021. Prevalence rates were pooled with meta-analysis using a random-effects model. A total of 160 studies (N = 46,279) published between 1998 and 2021 met the inclusion criteria. The overall prevalence of sleep disturbance was 60.7% (26,448/46,279 participants, 95% CI 58.1-63.3%) with significant heterogeneity between studies (p < .000, τ2 = .0000, I2 = 96.4%). This meta-analysis highlights the importance of developing optimal monitoring strategies to reduce sleep disturbance and improve the quality of life of cancer patients.

Autophagy, ferroptosis, pyroptosis, and necroptosis in tumor immunotherapy

In recent years, immunotherapy represented by immune checkpoint inhibitors (ICIs) has led to unprecedented breakthroughs in cancer treatment. However, the fact that many tumors respond poorly or even not to ICIs, partly caused by the absence of tumor-infiltrating lymphocytes (TILs), significantly limits the application of ICIs. Converting these immune “cold” tumors into “hot” tumors that may respond to ICIs is an unsolved question in cancer immunotherapy. Since it is a general characteristic of cancers to resist apoptosis, induction of non-apoptotic regulated cell death (RCD) is emerging as a new cancer treatment strategy. Recently, several studies have revealed the interaction between non-apoptotic RCD and antitumor immunity. Specifically, autophagy, ferroptosis, pyroptosis, and necroptosis exhibit synergistic antitumor immune responses while possibly exerting inhibitory effects on antitumor immune responses. Thus, targeted therapies (inducers or inhibitors) against autophagy, ferroptosis, pyroptosis, and necroptosis in combination with immunotherapy may exert potent antitumor activity, even in tumors resistant to ICIs. This review summarizes the multilevel relationship between antitumor immunity and non-apoptotic RCD, including autophagy, ferroptosis, pyroptosis, and necroptosis, and the potential targeting application of non-apoptotic RCD to improve the efficacy of immunotherapy in malignancy.

Neisseria sicca and Corynebacterium matruchotii inhibited oral squamous cell carcinomas by regulating genome stability

Periodontitis is a risk factor for the development of oral squamous cell carcinomas (OSCC). Both DNA damage response (DDR) and activation of inflammasomes induced by the microbiome might play important roles in the development of tumors, in relation to genome stability of tumor cells. Herein, we explored whether periodontitis negative-associated bacteria (Neisseria sicca and Corynebacterium matruchotii, namely called ‘PNB’), which were highly abundant in healthy populations, could inhibit OSCC by promoting genome stability. Firstly, a murine SCC-7 tumor-bearing model that colonized with PNB was designed and used in this study. Then, cyclin D1 was detected by immunohistochemistry. Levels of DDR, NLRP3 inflammasomes and pro-inflammatory cytokines in tumors were detected by RT-qPCR or Western blot. Immune cells in spleens were detected by immunohistochemistry or immunofluorescence. Finally, the anti-cancer activity of PNB was assessed in vitro using CCK-8 assays and flow cystometry. Compared with the control, PNB decreased tumor weights from 0.77 ± 0.26 g to 0.42 ± 0.15 g and downregulated the expression of Cyclin D1. PNB activated the DDR by up-regulating γ-H2AX, p-ATR, and p-CHK1. PNB activated NLRP3 inflammasome-mediated pyroptosis via increases of NLRP3, gasdermin D, and mRNA levels of apoptosis-associated speck-like protein, Caspase-1. PNB suppressed the inflammatory response by down-regulating mRNA levels of NF-κΒ and IL-6 in tumors as well as the populations of CD4+ T cells and CD206+ immune cells in spleens. PNB inhibited proliferation and promoted cell death of HSC-3 cells. In conclusion, Neisseria sicca and Corynebacterium matruchotii showed a ‘probiotic bacterial’ potential to inhibit OSCC by regulating genome stability.

The interaction of occupational stress, mental health, and cytokine levels on sleep in Xinjiang oil workers: A cross-sectional study

BACKGROUND

Sleep occupies one third of a person's life, and good sleep quality is an important factor to ensure good health.

PURPOSE

This study investigated and analyzed the occupational stress, mental health and sleep quality of oil workers, analyzed the effects of occupational stress and mental health on sleep, and explored the effects of the interaction between occupational stress, mental health and cytokines on sleep.

MATERIALS AND METHODS

In this study, stratified cluster random sampling was used to conduct a cross-sectional survey on the occupational stress, mental health and sleep quality of 1,141 oil workers in the Occupational Health Examination Department of Karamay Central Hospital, from June 2019 to January 2020, and 30% of the participants were randomly selected for measurement of their cytokine levels: interleukin 2 (IL-2), interleukin 6 (IL-6), interleukin 8 (IL-8), and tumor necrosis factor α (TNF-α). The objectives were to analyze the effects of occupational stress and mental health on sleep quality, and to explore the effects of occupational stress, mental disorders and cytokine interactions on sleep.

RESULTS

There were 646 individuals (56.6%) who suffered from sleep disorders; the incidence of sleep disorders differed according to sex, age, professional title, working years, type of work and shift (P < 0.05). The scores for occupational stress, mental health, and sleep quality were positively correlated (P < 0.05). Multivariate logistic regression analysis showed that age (30-45 years) (OR = 1.753, 95% CI: 1.067-2.881), junior college and above (OR = 1.473, 95% CI: 1.025-2.118), borehole operation (OR = 2.689, 95% CI: 1.508-4.792), extraction of oil (OR = 2.405, 95% CI: 1.229-4.705), drilling (OR = 1.791, 95% CI: 1.017-3.155), shift work (OR = 2.144, 95% CI: 1.615-2.846), occupational stress (OR = 1.007, 95% CI: 1.002-1.013), and mental disorders (OR = 1.020, 95% CI: 1.009-1.032) are risk factors for sleep disorders. In the high occupational stress group and the mental disorders group as the control group, the results showed that the interaction between IL-2 and moderate occupational stress (OR = 0.778, 95% CI: 0.778-0.942), IL-2 and non-mental disorders (OR = 0.398, 95% CI: 0.398-0.468) were protective factors for the occurrence of sleep disorders. The results of structural equation modeling analysis showed that occupational stress and mental health had positive predictive effects on IL-2 level and sleep quality [normalized path coefficients (β) were 0.10\0.06\0.05\0.71, respectively]. Occupational stress had a direct positive predictive effect on mental disorder (β = 0.25), and sleep disorder had a direct negative predictive effect on IL-2 concentration (β = -0.21).

CONCLUSION

Oil workers have serious sleep problems, so effective measures should be taken to reduce occupational stress and relieve mental health problems, and cytokine levels can be used as a predictor of sleep disorders.

Factors associated with sleep disturbances in women undergoing treatment for early-stage breast cancer

PURPOSE

The purpose of this study was to examine factors associated with sleep disturbance in women receiving adjuvant therapy for breast cancer.

METHODS

This study employed a cross-sectional design using data collected at 3 months post-surgery from an ongoing longitudinal parent study. Participant data were divided into adjuvant treatment groups (chemotherapy, radiation, and aromatase inhibitors) and no adjuvant treatment groups. Symptoms were measured using patient self-report measures. Analysis of variance was used to assess between adjuvant treatment group differences in sleep disturbance. Regression analysis was performed to assess the relationship between sleep disturbance and other symptoms within adjuvant treatment groups.

RESULTS

The sample included 156 women diagnosed with early-stage breast cancer. There were significant differences in levels of reported sleep disturbance between treatment groups (p = 0.049), with significantly higher levels of sleep disturbances in those receiving radiation compared to those receiving no adjuvant treatment (p = 0.038) and in those receiving chemotherapy and those receiving no adjuvant treatment (p = 0.027). Increased sleep disturbance was found to be a significant predictor for increased pain severity, nausea severity, anxiety, depressive symptoms, fatigue, decreased physical function, and decreased ability to participate in social roles and activities. Co-occurring symptoms with sleep disturbance differed between adjuvant treatment groups. Sleep disturbance was also associated with younger age (p = 0.008).

CONCLUSIONS

Patients undergoing chemotherapy or radiation for breast cancer report higher levels of sleep disturbance than those not receiving adjuvant therapy. Sleep disturbance is associated with other symptoms experienced by patients with cancer and thus requires continual assessment and future research into effective interventions.

The Role of Tumor Inflammatory Microenvironment in Lung Cancer

Lung cancer is the most common and fatal malignant tumor in the world. The tumor microenvironment (TME) is closely related to the occurrence and development of lung cancer, in which the inflammatory microenvironment plays an important role. Inflammatory cells and inflammatory factors in the tumor inflammatory microenvironment promote the activation of the NF-κB and STAT3 inflammatory pathways and the occurrence, development, and metastasis of lung cancer by promoting immune escape, tumor angiogenesis, epithelial-mesenchymal transition, apoptosis, and other mechanisms. Clinical and epidemiological studies have also shown a strong relationship among chronic infection, inflammation, inflammatory microenvironment, and lung cancer. The relationship between inflammation and lung cancer can be better understood through the gradual understanding of the tumor inflammatory microenvironment, which is advantageous to find more therapeutic targets for lung cancer.

Prevalence, risk factors, and trajectories of sleep disturbance in a cohort of African-American breast cancer survivors

PURPOSE

Sleep disturbance may be an overlooked modifiable risk factor for health disparities among African-American breast cancer survivors (AABCS). This study aimed to identify the prevalence of and risk factors for sleep disturbance in a cohort of AABCS.

METHODS

The study was conducted among participants in the Women's Circle of Health Follow-up Study, a longitudinal study of breast cancer in 10 counties in New Jersey. Cases were identified shortly after diagnosis by the New Jersey State Cancer Registry. Self-reported sleep disturbance (Pittsburgh Sleep Quality Index) and other factors (e.g., socioeconomic status, menopausal status) were assessed at pre-diagnosis (n = 637), 10 months post-diagnosis (n = 261), and 24 months post-diagnosis (n = 632). Clinical data were obtained via medical record abstraction, and height and weight were measured by study staff.

RESULTS

Most AABCS (57%) reported clinically significant sleep disturbance before diagnosis, and this rate remained largely unchanged at 10 months (53%) and 24 months post-diagnosis (61%). Average sleep disturbance scores indicated clinically significant disturbance at all three assessments (M range = 6.67-7.57). Most reported sleeping fewer than the recommended 7 hours per night at each assessment (range 57-65%). Risk factors for sleep disturbance were identified at each assessment, including pre-diagnosis (less education), 10 months post-diagnosis (lack of insurance, treatment with chemotherapy), and 24 months post-diagnosis (younger age, less education, lower income, obesity, and lymphedema). Treatment with endocrine therapy was a protective factor at 10 months post-diagnosis.

CONCLUSION

Most AABCS report clinically significant sleep disturbance from before diagnosis through 24 months post-diagnosis. These rates appear indicate AABCS experience significant sleep-related disparities.

NAT1 promotes osteolytic metastasis in luminal breast cancer by regulating the bone metastatic niche via NF-κB/IL-1B signaling pathway

Breast cancer is a molecularly heterogeneous disease that can be subdivided into different subtypes. Compared with the other subtypes, luminal breast cancer (LBC) is considered more susceptible to bone metastasis. However, the intrinsic mechanisms remain elusive. Bioinformatics analysis of the preset study showed that N-acetyltransferase 1 (NAT1) was specifically expressed in LBC and closely correlated with bone metastasis. In addition, NAT1 could promote LBC cell migration and clonal formation, induce osteoclast differentiation and raise the Rankl/Opg ratio in osteoblasts. Our in vivo experiment demonstrated that NAT1 promoted LBC bone metastasis and bone destruction, which could be reversed by NAT1 inhibitor treatment. The result of cytokine array showed that NAT1 could significantly over activate the NF-κB signaling pathway and up-regulate the expression of IL-1B, which further worked as downstream factors in these processes. All these results demonstrated NAT1 was up-regulated in LBC and promoted the formation of bone metastatic niche and osteolytic bone metastasis through the NAT1/NF-κB/IL-1B axis. This finding may provide a new pathway to help understand the mechanisms of LBC bone metastasis and suggest a novel therapeutic and diagnostic target for its treatment.

Emotional distress, brain functioning, and biobehavioral processes in cancer patients: a neuroimaging review and future directions

Despite emerging evidence that distress and adversity can contribute to negative health outcomes in cancer, little is known about the brain networks, regions, or circuits that can contribute to individual differences in affect/distress states and health outcomes in treated cancer patients. To understand the state-of-the-science in this regard, we reviewed neuroimaging studies with cancer patients that examined the associations between negative affect (distress) and changes in the metabolism or structure of brain regions. Cancer patients showed changes in function and/or structure of key brain regions such as the prefrontal cortex, thalamus, amygdala, hippocampus, cingulate cortex (mainly subgenual area), hypothalamus, basal ganglia (striatum and caudate), and insula, which are associated with greater anxiety, depression, posttraumatic stress disorder (PTSD) symptoms, and distress. These results provide insights for understanding the effects of these psychological and emotional factors on peripheral stress-related biobehavioral pathways known to contribute to cancer progression and long-term health outcomes. This line of work provides leads for understanding the brain-mediated mechanisms that may explain the health effects of psychosocial interventions in cancer patients and survivors. A multilevel and integrated model for distress management intervention effects on psychological adaptation, biobehavioral processes, cancer pathogenesis, and clinical outcomes is proposed for future research.

Yoga Protocol for Cancer Patients: A Systematic Exploration of Psychophysiological Benefits

BACKGROUND

Several studies report that practicing Yoga may lead to numerous psychophysiological benefits in patients undergoing treatment for cancer. Moreover, it may result in an effective alternative for coping with sleep disturbances, anxiety, depression and fatigue symptoms. A study based on the "Yoga in Oncology" project of the Foundation Poliambulanza was carried out, and it was designed to explore the benefits of Yoga, therefore corroborating Yoga as a therapeutic activity that can have a beneficial impact on patients diagnosed with cancer.

METHODS

Seventy patients were recruited, of whom 20% were males and 80% were females 18 years of age and older. All patients were being treated at the oncology department for gastrointestinal, mammary or genital carcinoma, and the disease was metastatic in 80% of patients. Data were collected between April 2013 and May 2017. The protocol consisted of a weekly 90-minute Yoga lesson for 8 consecutive weeks, and the data collection was carried out in 2 phases: (T0) preprotocol assessment and (T1) postprotocol assessment. Psychophysiological assessment was carried out with the following scales: the (BFI) Brief Fatigue Inventory, (HADS) Hospital Anxiety and Depression Scale and (PSQI) Pittsburgh Sleep Quality Index.

RESULTS

Data analysis showed a significant difference between the (T0) and (T1) HADS (Hospital Anxiety and Depression Scale) scores. The constructs of this scale consist of psychological variables for the assessment of anxiety and depression. In contrast, scores from the (BFI) Brief Fatigue Inventory and (PSQI) Pittsburgh Sleep Quality Index did not show significant differences between (T0) and (T1): such scales are relative to psychophysiological variables for an assessment of the perception of fatigue and quality of sleep.

CONCLUSION

It is noteworthy that the data, once analyzed, showed a significant difference between preprotocol and postprotocol levels of anxiety and depression but not for the perception of fatigue or the quality of sleep. In accordance with the scientific literature, data from this study highlight that practicing Yoga may promote changes in the levels of perceived anxiety and depression in patients undergoing treatment for cancer, thus positively affecting their (QoL). It is clear that the difference in significance between the psychological and physiological variables considered here and the statistical significance found only in levels of anxiety and depression encourage further studies to account for the nature of fatigue and sleep disturbances and how to address these symptoms in oncological patients. Moreover, other points of interest for future clinical research regard the evaluation of the reason for the possible denial to participate to this kind of study, as well as the social-cultural differences in patients' behavior.

High expression of IL-1β and NFκB in tumor tissue predicts a low recurrence rate of hepatocellular carcinoma

OBJECTIVE

To study the relationship between interleukin (IL)-1β and nuclear factor kappa-light-chain-enhancer of activated B cells (NFκB) expressions in tumor tissue and the recurrence of hepatocellular carcinoma (HCC) after hepatectomy.

METHODS

The expressions of IL-1β and NFκB in tumor tissues of 92 patients with HCC were measured using immunohistochemical staining. The correlations between IL-1β and NFκB expressions with clinical factors and postoperative recurrence were analyzed.

RESULTS

Compared with the low expression group, the disease-free survival (DFS) of HCC with high expression of IL-1β and NFκB was more significantly prolonged (P < 0.05). NFκB is a key molecule in the downstream signaling pathway of IL-1β, and the expression of IL-1β and NFκB is positively associated with serum total bilirubin (TBIL). IL-1β and NFκB levels and platelet (PLT) levels were independent risk factors for postoperative recurrence of HCC (P < 0.05).

CONCLUSIONS

The low expressions of IL-1β and NFκB in HCC tissues are an independent risk factor for the recurrence of HCC after hepatectomy, but a high expression can significantly prolong DFS.

Interleukin-1 Beta-A Friend or Foe in Malignancies?

Interleukin-1 beta (IL-1β) is induced by inflammatory signals in a broad number of immune cell types. IL-1β (and IL-18) are the only cytokines which are processed by caspase-1 after inflammasome-mediated activation. This review aims to summarize current knowledge about parameters of regulation of IL-1β expression and its multi-facetted role in pathophysiological conditions. IL-1 signaling activates innate immune cells including antigen presenting cells, and drives polarization of CD4+ T cells towards T helper type (Th) 1 and Th17 cells. Therefore, IL-1β has been attributed a largely beneficial role in resolving acute inflammations, and by initiating adaptive anti-tumor responses. However, IL-1β generated in the course of chronic inflammation supports tumor development. Furthermore, IL-1β generated within the tumor microenvironment predominantly by tumor-infiltrating macrophages promotes tumor growth and metastasis via different mechanisms. These include the expression of IL-1 targets which promote neoangiogenesis and of soluble mediators in cancer-associated fibroblasts that evoke antiapoptotic signaling in tumor cells. Moreover, IL-1 promotes the propagation of myeloid-derived suppressor cells. Using genetic mouse models as well as agents for pharmacological inhibition of IL-1 signaling therapeutically applied for treatment of IL-1 associated autoimmune diseases indicate that IL-1β is a driver of tumor induction and development.