Etiology Of Cancer-related Fatigue Research Articles

Associations of three differential white blood cell counts, platelet counts, and their derived inflammatory indices with cancer-related fatigue in patients with breast cancer undergoing chemotherapy.

Inflammation is thought to be a vital element in the etiology of cancer-related fatigue (CRF), and circulating blood cell parameters could be important markers of inflammatory response. However, the associations of several major blood cell counts and their derived inflammatory indices with CRF are not well described. The present study aimed to establish whether a relationship exists between the counts of three white blood cell (WBC) types, platelets, and CRF and investigate whether several systemic inflammatory indices were associated with CRF in patients with breast cancer (BC). A cross-sectional survey was conducted with a sample of 824 patients with BC undergoing chemotherapy. The cancer fatigue scale was administered to assess CRF. Hematological indicators, including neutrophils, lymphocytes, monocytes, and platelets, were retrieved from routine blood test. Network analyses were used to examine the associations among them. Among 824 participants, the mean score of CRF was (27 ± 10), ranging from 0 to 57. The results of network models indicated that physical fatigue was negatively linked to lymphocyte counts (weight = - 0.161), and affective fatigue was positively associated with neutrophil counts (weight = 0.070). Additionally, physical fatigue was positively linked to the platelet-to-lymphocyte ratio (PLR) (weight = 0.049). There were preliminary associations of counts of three WBC types, platelet counts, and systemic inflammatory indices, with distinct dimensions of CRF in patients with BC. Findings provide empirical support for the cellular basis of fatigue-associated inflammatory states.

Development and external validation of a machine learning-based prediction model for the cancer-related fatigue diagnostic screening in adult cancer patients: a cross-sectional study in China

Cancer-related fatigue (CRF) is the most common symptom in cancer patients and may interfere with patients' daily activities and decrease survival rate. However, the etiology of CRF has not been identified. Diagnosing CRF is challenging. Thus, our study aimed to develop a CRF prediction model in cancer patients, using data that healthcare professionals routinely obtained from electronic health records (EHRs) based on the 3P model and externally validate this model in an independent dataset collected from another hospital. Between April 2022 and September 2022, a cross-sectional study was conducted on adult cancer patients at two first-class tertiary hospitals in China. Data that healthcare professionals routinely obtained from electronic health records (EHRs) based on the 3P model were collected. The outcome measure was according to ICD-10 diagnostic criteria for CRF. Data from one hospital (n = 305) were used for model development and internal validation. An independent data set from another hospital (n = 260) was utilized for external validation. logistic regression, random forest (RF), Naive Bayes (NB), and extreme gradient boosting (XGBoost) were constructed and compared. The model performance was evaluated in terms of both discrimination and calibration. The prevalence of CRF in the two centers was 57.9% and 56.1%, respectively. The Random Forest model achieved the highest AUC of 0.86 among the four types of classifiers in the internal validation. The AUC of RF and NB were above 0.7 in the external validation, suggesting that the models also have an acceptable generalization ability. The incidence of CRF remains high and deserves more attention. The fatigue prediction model based on the 3P theory can accurately predict the risk of CRF. Nonlinear algorithms such as Random Forest and Naive Bayes are more suitable for diagnosing and evaluating symptoms.

Cardiovascular Autonomic Dysfunction in Patients with Cancer.

Elucidating the mechanisms that contribute to adverse cardiovascular (CV) outcomes and reduce quality of life among patients with cancer is paramount. Cancer, certain cancer drugs, radiation therapy, cancer-associated lifestyle disturbances, and cancer-independent comorbidities combine to predispose oncology patients to autonomic dysfunction (AD). This review will explore the assessment, etiology, and clinical implications of AD in cancer patients and will speculate on therapeutic and research opportunities. AD is particularly prevalent among patients with advanced cancer, but studies suggest increased prevalence across the entire continuum of cancer survivors compared to cancer-free controls. Data on cancer therapy-induced injury to the autonomic nervous system are limited to small studies. AD has been reported after cranial, neck, and mediastinal radiation therapy. Although AD has been shown to confer increased risk of adverse CV outcomes in cancer-free patients, the prognostic relevance of AD in oncology patients is less well investigated. Markers of AD including elevated resting heart rate (HR), reduced HR variability, and abnormal HR recovery have been associated with shorter survival times in various cancer cohorts. Furthermore, AD has been implicated in the etiology of cancer-related fatigue and exercise limitation. Multiple risk factors predispose oncology patients to AD, which is associated with adverse outcomes, including increased mortality, exercise limitation, and fatigue among this cohort. The contribution of AD to overall morbidity and mortality in cancer survivors has largely been overlooked to date. Further investigation is necessary to better understand cancer-treatment specific autonomic injury and to evaluate the role of various pharmacological and non-pharmacological interventions with potential to tackle the sympathovagal imbalance observed in cancer survivors.

Fatigue among patients with brain tumors.

Fatigue is a ubiquitous and an extremely distressing symptom among patients with brain tumors (BT), particularly those with high-grade gliomas. The pathophysiology of cancer-related fatigue (CRF) in the context of patients with BT is multifactorial and complex, involving biological, behavioral, medical and social factors. The etiology of CRF in the general oncology population is pointing to the role of inflammatory cytokines as a key factor in the genesis of CRF, but this research is currently limited in the setting of BT. CRF should be screened, assessed and managed according to clinical practice guidelines. Fatigue has recently emerged as a strong, independent prognostic factor for survival that provides incremental prognostic value to the traditional markers of prognosis in recurrent high-grade gliomas. Therefore, strategies to treat fatigue warrant investigation, not only to improve the QOL of a group of patients with often limited life expectancy, but also possibly to optimize survival.

Low heart rate variability and cancer-related fatigue in breast cancer survivors.

Cancer-related fatigue is a common and often long lasting symptom for many breast cancer survivors. Fatigued survivors show evidence of elevated inflammation, but the physiological mechanisms driving inflammatory activity have not been determined. Alterations in the autonomic nervous system, and particularly parasympathetic nervous system activity, are a plausible, yet understudied contributor to cancer-related fatigue. The goal of this study was to replicate one previous study showing an association between lower parasympathetic activity and higher fatigue in breast cancer survivors (Fagundes et al., 2011), and to examine whether inflammation mediates this association. Study participants were drawn from two samples and included 84 women originally diagnosed with early stage breast cancer prior to age 50. Participants completed questionnaires, provided blood samples for determination of interleukin (IL)-6 and C-reactive protein (CRP), and underwent electrocardiography (ECG) assessment for evaluation of resting heart rate variability (HRV), a measure of parasympathetic activity. Results showed that lower HRV was associated with higher fatigue (p<.05), as predicted. In bivariate analyses, HRV was also correlated with circulating concentrations of IL-6 and CRP. However, path analyses did not support inflammation as a mediator of the association between HRV and fatigue; instead, associations among these variables appeared to be driven by age and BMI. These findings identify HRV as a potential contributor to cancer-related fatigue, but suggest that inflammation does not mediate this association in younger, healthy breast cancer survivors who are several years post-treatment. The autonomic nervous system merits additional attention in research on the etiology of cancer-related fatigue.

Altered Cortisol Response to Psychologic Stress in Breast Cancer Survivors With Persistent Fatigue

Fatigue is one of the most common and distressing symptoms experienced by cancer patients and survivors. However, the etiology of cancer-related fatigue has not been determined. In previous studies, we have shown alterations in morning serum cortisol levels and diurnal cortisol rhythms in fatigued breast cancer survivors compared with nonfatigued control subjects. The purpose of the current study was to evaluate cortisol responses to an experimental psychologic stressor in fatigued and nonfatigued survivors. Participants included 27 breast cancer survivors (11 fatigued, 16 nonfatigued). All had completed cancer treatment at least 3 years previously and were currently healthy with no evidence of recurrence. A standardized laboratory stressor, the Trier Social Stress Test (TSST), was administered during a 90-minute afternoon session. Saliva samples and autonomic measures (heart rate, blood pressure) were collected at 15-minute intervals throughout the session. Fatigued survivors showed a significantly blunted cortisol response to the stressor compared with nonfatigued survivors, controlling for depression and other potential confounds (p <.05). No differences in autonomic measures were observed. These results, together with our earlier findings, suggest a dysregulation in hypothalamic-pituitary-adrenal (HPA) axis responsiveness among breast cancer survivors with enduring fatigue. Although the sample size was small, results suggest that attention to the HPA axis may be important for understanding cancer-related fatigue.