Validation of inflammatory genetic variants associated with long-term cancer related fatigue in a large breast cancer cohort

Biological mechanisms of cancer-related fatigue in breast cancer survivors after treatment: a scoping review

PURPOSE

Cancer-related fatigue (CRF) is the most common symptom experienced by cancer survivors. It is a multidimensional symptom affecting physical, emotional, and/or cognitive spheres, different from other types of fatigue. Characteristically is not alleviated by sleep or rest. CRF could have specific features in breast cancer survivors (BCS), because of sex, hormones, and distinct treatments. On the other hand, more than 25% of BCS report persistent CRF for 10 years or more after the diagnosis. The present study aims to recapitulate the knowledge about the biological mechanisms that potentially drive CRF in BCS after treatment.

METHODS

To answer a broad question, a scoping review methodology was used. Data were collated from three bibliographic databases: PubMed, Embase, and Cochrane Central Register of Controlled Trials (CENTRAL). Studies were selected if they had included more than 20 BCS, after finishing their treatment, fatigue was measured with a quantitative scale and biomarkers were analyzed.

RESULTS

The final database was composed of 1896 records. Sixty-four studies finally met the eligibility criteria. Inflammation (61%), hypothalamic-pituitary-adrenal (HPA) axis dysregulation (14%), autonomic nervous system (ANS) dysfunction (11%), and diet (9%) were the biological pathways most frequently studied. Unfortunately, results from studies about inflammation and HPA axis show many inconsistencies.

CONCLUSION

More research about the role of ANS dysfunction and diet on the pathogenesis of CRF would be warranted according to the results of the review. There are some fields such as endocannabinoid systems, mitochondrial dysfunction, gut microbiota, and oxidative stress that have been insufficiently explored.

IMPLICATIONS FOR CANCER SURVIVORS

To widen the scope of future research in the physiopathology of CRF, it is necessary to identify mechanisms that would be potentially involved and have been insufficiently explored. Because of the high prevalence of CRF in BCS and the tremendous impact that fatigue has in their quality of life, it is essential to improve the efficacy of the treatments through a good knowledge of the biological basis of CRF.

The Cancer Genomic Integration Model for Symptom Science (CGIMSS): A Biopsychosocial Framework

Current nursing research has characterized symptom clusters and trajectories in individuals with breast cancer. The existing literature describes the relationship between symptoms and biological variables and the potential moderating effects of individual and social factors. The genomic profiling of breast cancer has also been an area of much recent research. Emerging evidence indicates that incorporating cancer genomics into symptom science research can aid in the prognostication of symptoms and elucidate targets for symptom management interventions. The aim of this paper is to outline a model to integrate cancer genomics into symptom science research, illustrated using breast cancer and psychoneurological (PN) symptoms as an example. We present a review of the current literature surrounding breast cancer genomics (specifically cancer genomic instability) and the biological underpinnings of the PN symptom cluster. Advances in both of these areas indicate that inflammation may serve as the bridge between cancer genomics and the PN symptom cluster. We also outline how the integration of cancer genomics into symptom science research synergizes with current research of individual and social factors in relation to symptoms. This model aims to provide a framework to guide future biopsychosocial symptom science research that can elucidate new predictive methods and new targets for intervention.

Tumor Necrosis Factor-α Gene Polymorphism is Associated with Short- and Long-Term Kidney Allograft Outcomes

Introduction

Kidney transplantation has excellent short-term results with current immunosuppression regimes, but long-term outcomes have barely improved over the past two decades. Hence, there is a need for new therapeutic options to increase long-term survival of kidney grafts. Drug development for kidney transplantation has slowly plateaued, limiting progress while making drug repurposing an attractive alternative. We, therefore, investigated the impact of tumor necrosis factor-alpha (TNF-α) gene (TNF) polymorphisms on kidney graft survival after transplantation.

Methods

We performed a prospective cohort study to assess the association of TNF polymorphisms (rs1800629 G>A and rs3093662 A>G) with primary non-function and death-censored kidney allograft survival in 1271 kidney transplant pairs from the University Medical Center Groningen in The Netherlands.

Results

The G-allele of the TNF rs3093662 polymorphism in donor kidneys was associated with a higher risk of immediate graft loss (odds ratio: 2.05; 95%-CI: 1.06–3.97; P = 0.032). Furthermore, the G-allele of this TNF rs3093662 polymorphism in the donor was also associated with worse 5-year, 10-year, and 15-year death-censored kidney graft survival (P < 0.05). The cumulative incidence of graft loss was 15.9% in the reference AA-genotype group and 25.2% in the AG/GG-genotype group, respectively. In multivariable analysis, the association between the TNF rs3093662 polymorphism in the donor and 15-year death-censored kidney graft survival remained significant (hazard ratio: 1.51; 95%-CI: 1.05–2.19, P = 0.028).

Discussion

In conclusion, kidney allografts possessing a high-producing TNF polymorphism have a greater risk of immediate and late graft loss. Our study adds to a growing body of literature indicating the potential of TNF-α blockade in improving kidney transplantation outcomes.

Tired of feeling tired - The role of circulating inflammatory biomarkers and long-term cancer related fatigue in breast cancer survivors

BACKGROUND

Low-grade inflammation has been associated with cancer related fatigue (CRF). However, most studies focused on CRF during or shortly after treatment. Longitudinal studies are rare with inconsistent results. We assessed the association of inflammatory biomarkers with total CRF and all subdomains (physical, cognitive, affective) in long-term breast cancer survivors.

METHOD

Patients recruited between 2002 and 2005 provided information on CRF at first follow-up (FU1) (N = 1292) and second follow-up (FU2) (N = 1205), after a median of 6.2 years and 11.7 years, respectively. Associations of 11 inflammatory biomarkers with CRF at FU1 and at FU2 were assessed using linear regression models. Logistic regression models were used to compare patients fatigued at both time-points and those never fatigued (N = 932).

RESULTS

C-reactive protein (CRP) was significantly associated with total CRF at FU1 (β = 1.47, 95%CI = 0.62-2.31, p = 0.0007), at FU2 (β = 1.98, 95 %CI = 0.96-2.99, p = 0.0001) and with persistent CRF (OR = 1.29, 95%CI = 1.13-1.47, p < 0.0001). IL-6 levels were associated with total CRF at FU1 (β = 1.01, 95%CI = 0.43-1.59, p = 0.0006), but not with CRF at FU2 or persistent CRF. No association remained significant after adjustment for relevant covariates.

DISCUSSION

CRP and Il-6 were associated with risk of CRF in long-term breast cancer survivors, but were not independent of other known risk factors, suggesting that currently studied inflammatory markers are not suitable to identify patients at risk of long-term CRF.

Excess Body Weight and Cancer-Related Fatigue, Systemic Inflammation, and Serum Lipids in Breast Cancer Survivors

BACKGROUND

Cancer-related fatigue (CRF) is a common side effect impacting breast cancer survivors. Research points to a relationship between obesity and CRF in breast cancer survivors related to elevated systemic inflammation and metabolic alterations.

METHODS

This cross-sectional study examined the relationship of obesity to CRF, inflammatory markers and serum lipids through a secondary analysis of a nationwide randomized controlled trial. Breast cancer survivors with CRF were categorized based on BMI category. Symptoms of CRF, inflammatory markers and serum fatty acids were assessed among groups.

RESULTS

There were 105 breast cancer survivors in the analysis. BMI was positively associated with CRF based on MFSI General (p = 0.020; 95% C.I. 0.024, 0.273) and MFSI Physical (p = 0.013; 95% C.I. 0.035, 0.298) subscales. TNF-α (p = 0.007; 95% C.I. 0.007, 0.044), and IL-6 (p = 0.020; 95% C.I. 0.006, 0.073) were elevated in the obese. Monounsaturated fatty acid levels (p = 0.047; 95% C.I. 0.000, 0.053) and the omega-6 to omega-3 fatty acid ratio were associated with obesity (p = 0.047; 95% C.I. 0.002, 0.322).

CONCLUSIONS

Obese breast cancer survivors had greater levels of CRF, inflammatory markers and certain fatty acids. Inflammatory markers and fatty acids were not found to have any mediating or positive association with CRF variables in this analysis. NCT02352779.

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.

Longitudinal assessment of the impact of higher body mass index on cancer-related fatigue in patients with breast cancer receiving chemotherapy

PURPOSE

To assess the impact of obesity on cancer-related fatigue (CRF) in patients with breast cancer, through a secondary analysis of a large, longitudinal, nationwide study of breast cancer patients beginning chemotherapy.

METHODS

All patients (N = 565; aged 53 ± 10.6) with breast cancer completed the multidimensional fatigue symptom inventory and the symptom inventory to measure CRF symptoms at baseline, post-chemotherapy, and 6 months post-chemotherapy. Height and weight at baseline were used to categorize subjects based on body mass index (BMI): obese (≥ 30.0 kg/m²; n = 294), overweight (25.0-29.9 kg/m²; n = 146), and normal weight (18.5-24.9 kg/m²; n = 125). Multivariate regression models evaluated the relationship of obesity level to CRF over time, controlling for age, menopausal status, race, Karnofsky Performance Status, cancer stage, radiation, and exercise status.

RESULTS

At baseline, the obese had significantly higher CRF symptoms than the normal weight subjects for both the Multidimensional fatigue symptom inventory (MFSI) total (obese = 11.2 vs normal weight = 6.3; p = 0.03) and Symptom Inventory (SI) (obese = 3.5 vs normal weight = 2.9; p = 0.03). Significantly higher SI fatigue scores persisted at post-chemotherapy for the obese (obese = 5.0 vs normal weight = 4.4; p = 0.02). At 6 months post-chemotherapy, the obese patients still had significantly higher SI fatigue scores (obese = 3.5 vs normal weight = 3.0; p = 0.05).

CONCLUSION

Obese patients suffered greater CRF from pre-chemotherapy through 6 months post-chemotherapy. Recommendations for weight loss or weight maintenance may impact CRF levels in obese breast cancer patients before and after chemotherapy.