Predictors of cancer-related fatigue in women with breast cancer before, during, and after adjuvant therapy

Biomarkers of fatigue in oncology: A systematic review

Cancer-related fatigue (CRF) is a distressing side effect of cancer and treatment, affecting both patients during active treatment and survivors, negatively impacting quality of life. While its exact cause remains uncertain, various mechanisms such as immune dysfunction, HPA-axis dysfunction, and treatment toxicity are proposed. Inflammatory biomarkers of CRF have been explored in previous research, but non-inflammatory markers have not been comprehensively studied. This systematic review analysed 33 studies to identify non-inflammatory peripheral blood biomarkers associated with CRF. Promising markers included Hb, blood coagulation factors, BDNF, tryptophan, GAA, mtDNA, platinum, CA125, and cystatin-C. Inconsistent findings were observed for other markers like VEGF, leptin, and stress hormones. Most studies focused on adults. Research in pediatrics is limited. This review showed partial evidence for the inflammaging hypothesis (neurotoxicity due to neuro-inflammation) laying at the basis of CRF. Further research, especially in pediatrics, is needed to confirm this hypothesis and guide future biomarker studies.

Multidimensional Predictors of Cancer-Related Fatigue Based on the Predisposing, Precipitating, and Perpetuating (3P) Model: A Systematic Review

Cancer-related fatigue (CRF) is a widespread symptom with high prevalence in cancer patients, seriously affecting their quality of life. In the context of precision care, constructing machine learning-based prediction models for early screening and assessment of CRF is beneficial to this situation. To further understand the predictors of CRF for model construction, we conducted a comprehensive search in PubMed, Web of Science, Embase, and Scopus databases, combining CRF with predictor-related terms. A total of 27 papers met the inclusion criteria. We evaluated the above studies into three subgroups following the predisposing, precipitating, and perpetuating (3P) factor model. (1) Predisposing factors-baseline fatigue, demographic characteristics, clinical characteristics, psychosocial traits and physical symptoms. (2) Precipitating factors-type and stage of chemotherapy, inflammatory factors, laboratory indicators and metabolic changes. (3) Perpetuating factors-a low level of physical activity and poorer nutritional status. Future research should prioritize large-scale prospective studies with emerging technologies to identify accurate predictors of CRF. The assessment and management of CRF should also focus on the above factors, especially the controllable precipitating factors, to improve the quality of life of cancer survivors.

Characteristics of Cancer-Related Fatigue and an Efficient Model to Identify Patients with Gynecological Cancer Seeking Fatigue-Related Management

Cancer-related fatigue (CRF) is the most common somatic discomfort in patients with gynecological cancers. CRF is often overlooked; however, it can impair the patients’ quality of life considerably. This cross-sectional study aimed to identify the clinical characteristics of CRF in gynecological cancer patients. Questionnaires and the International Classification of Diseases 10th Revision (ICD-10) criteria were used to identify CRF. The enrolled patients were further categorized according to the amount of fatigue-related management received. Of the enrolled 190 patients, 40.0% had endometrial cancer, 28.9% had cervical cancer, and 31.1% had ovarian cancer. On the basis of the ICD-10 diagnostic criteria, 42.6% had non-cancer-related fatigue, 10% had CRF, and 51% had BFI-T questionnaire-based fatigue. Moreover, 77.9% of the study cohort had ever received fatigue-related management. Further analysis showed that patients with endometrial/cervical cancer, International Federation of Gynecology and Obstetrics stage >1, Eastern Cooperative Oncology Group performance status score ≥1, inadequate cancer treatment response, and receiving cancer treatment in the past week had a higher probability of receiving more fatigue-related management. The five-item predictive model developed from these factors may help physicians recognize patients seeking more fatigue-related management more efficiently. This is important as they may suffer from a more profound CRF.

Higher Stress in Oncology Patients is Associated With Cognitive and Evening Physical Fatigue Severity

CONTEXT

Cognitive and physical fatigue are common symptoms experienced by oncology patients. Exposure to stressful life events (SLE), cancer-related stressors, coping styles, and levels of resilience may influence the severity of both dimensions of fatigue.

OBJECTIVES

Evaluate for differences in global, cancer-specific, and cumulative life stress, as well as resilience and coping in oncology patients (n=1332) with distinct cognitive fatigue AND evening physical fatigue profiles.

METHODS

Latent profile analysis, which combined the two symptom scores, identified three subgroups of patients with distinct cognitive fatigue AND evening physical fatigue profiles (i.e., Low, Moderate, High). Patients completed measures of global, cancer-specific, and cumulative life stress as well measures of resilience and coping. Differences among the latent classes in the various measures were evaluated using parametric and nonparametric tests.

RESULTS

Compared to Low class, the other two classes reported higher global and cancer-specific stress. In addition, they reported higher occurrence rates for sexual harassment and being forced to touch prior to 16 years of age. Compared to the other two classes, High class reported lower resilience scores and higher use of denial, substance use, and behavioral disengagement.

CONCLUSION

To decrease both cognitive and evening physical fatigue, clinicians need to assess for relevant stressors and initiate interventions to increase resilience and the use of engagement coping strategies. Additional research is warranted on the relative contribution of various social determinants of health to both cognitive and physical fatigue in oncology patients receiving chemotherapy.

Predictors of cancer-related fatigue in women with breast cancer undergoing 21 days of a cyclic chemotherapy

BACKGROUND

Breast cancer is the most common diagnosis and the leading cause of cancer death among women worldwide and ranks first among Asian and Taiwanese women. Cancer-related fatigue (CRF) affects patients' functioning significantly.

AIMS

The aim of this study was to examine changes in cancer-related fatigue (CRF) and related factors among women with breast cancer undergoing a single chemotherapy, and to identify predictors of CRF's change over the course of the chemotherapy cycle.

METHODS

Four self-report questionnaires were administered to assess CRF, sleep quality, depression and anxiety, and symptom distress. Heart rate variability (HRV) was assessed to evaluate autonomic nervous system activation related to CRF. Data were collected four times: (1) before initiation of the single chemotherapy cycle (T0), (2) after completion of the single cycle (T1), (3) 1 week post-chemo (T2), and (4) 3 weeks post-chemo (T3). Repeated measurement of variance and generalized estimating equations (GEE) were conducted to estimate the trajectories and predictors.

RESULTS

One-hundred women with breast cancer (mean age 50.4 ± 9.42) participated. CRF (F = 7.46), sleep quality (F = 2.74), symptom distress (F = 9.99), anxiety (F = 5.72), and depression (F = 4.14) varied significantly over the single cycle of chemotherapy (p < .001), which the trajectories showed exacerbating at T2. HRV indicated a higher variation only on the day of injection (T0, T1). Results of the GEE revealed that anxiety, depression, and symptom distress were predictors of CRF's change over the single cycle of chemotherapy.

LINKING EVIDENCE TO ACTION

CRF worsens at 1 week after a chemotherapy injection among Taiwanese women with breast cancer. Based on the risk predictors in CRF that included anxiety, depression, and symptom distress, multistrategy CRF-alleviating interventions should be provided prior to chemotherapy and targeted at the most disturbed period, that is, 1 week after injection.

Analyzing the symptoms in colorectal and breast cancer patients with or without type 2 diabetes using EHR data

This research extracted patient-reported symptoms from free-text EHR notes of colorectal and breast cancer patients and studied the correlation of the symptoms with comorbid type 2 diabetes, race, and smoking status. An NLP framework was developed first to use UMLS MetaMap to extract all symptom terms from the 366,398 EHR clinical notes of 1694 colorectal cancer (CRC) patients and 3458 breast cancer (BC) patients. Semantic analysis and clustering algorithms were then developed to categorize all the relevant symptoms into eight symptom clusters defined by seed terms. After all the relevant symptoms were extracted from the EHR clinical notes, the frequency of the symptoms reported from colorectal cancer (CRC) and breast cancer (BC) patients over three time-periods post-chemotherapy was calculated. Logistic regression (LR) was performed with each symptom cluster as the response variable while controlling for diabetes, race, and smoking status. The results show that the CRC and BC patients with Type 2 Diabetes (T2D) were more likely to report symptoms than CRC and BC without T2D over three time-periods in the cancer trajectory. We also found that current smokers were more likely to report anxiety (CRC, BC), neuropathic symptoms (CRC, BC), anxiety (BC), and depression (BC) than non-smokers.

Research Progress on Main Symptoms of Novel Coronavirus Pneumonia Improved by Traditional Chinese Medicine

Novel coronavirus (COVID-19) pneumonia has become a major threat to worldwide public health, having rapidly spread to more than 180 countries and infecting over 1.6 billion people. Fever, cough, and fatigue are the most common initial symptoms of COVID-19, while some patients experience diarrhea rather than fever in the early stage. Many herbal medicine and Chinese patent medicine can significantly improve these symptoms, cure the patients experiencing a mild 22form of the illness, reduce the rate of transition from mild to severe disease, and reduce mortality. Therefore, this paper summarizes the physiopathological mechanisms of fever, cough, fatigue and diarrhea, and introduces Chinese herbal medicines (Ephedrae Herba, Gypsum Fibrosum, Glycyrrhizae Radix et Rhizoma, Asteris Radix et Rhizoma, Ginseng Radix et Rhizoma, Codonopsis Radix, Atractylodis Rhizoma, etc.) and Chinese patent medicines (Shuang-huang-lian, Ma-xing-gan-shi-tang, etc.) with their corresponding therapeutic effects. Emphasis was placed on their material basis, mechanism of action, and clinical research. Most of these medicines possess the pharmacological activities of anti-inflammatory, antioxidant, antiviral, and immunity-enhancement, and may be promising medicines for the treatment or adjuvant treatment of COVID-19 patients.

Patient-reported acute fatigue in elderly breast cancer patients treated with and without regional nodal radiation

PURPOSE

Although regional nodal irradiation (RNI) improves outcomes in breast cancer (BC) patients, it is associated with increased toxicity. Therefore, controversy still exists surrounding its indications. The purpose of this study was to evaluate and compare patient-reported acute fatigue in elderly BC patients with and without regional nodal radiation (RNI).

METHODS

Elderly breast cancer patients (≥ 65 years) treated with adjuvant radiotherapy (RT) between 2012 and 2017 were identified from a prospective database. The validated Edmonton Symptom Assessment System-revised (ESAS-r) questionnaire, which assesses fatigue, was completed prior to (baseline), during, at end of RT and first follow-up (3-6 months). Symptoms were rated on a 10-point Likert scale, with higher scores indicating higher fatigue. Patient's treatment characteristics were also recorded prospectively. This was a retrospective study which identified elderly breast cancer patients who had received adjuvant radiation, completed ESAS-r prospectively and provided research consent for using ESAS-r. Patients were divided into two cohorts: those who received RNI (cohort 1) and those who did not (cohort 2). A minimal clinically important difference (MID) was defined using an anchor of ≥ 1-point compared to baseline. The proportion of patients reporting a change in fatigue at the end of RT was evaluated. To test the robustness of the results, dynamic changes of fatigue scores over time were further compared between the cohorts using a general linear mixed model (GLMM) after assuming individual patient with random effect. Univariate and multivariable logistic regression were conducted to assess the association between RNI and MID after adjusting for potential confounders. In addition to longitudinal analysis, a multivariable mixed effect model was developed to determine the association of RNI with fatigue after adjusting for potential confounders. A two-tailed p value ≤ 0.05 was considered statistically significant.

RESULTS

Of the 1198 patients, 859 had provided research consent and completed the ESAS-r at baseline and any other time-point and were included in the longitudinal analysis (cohort 1 = 159, cohort 2 = 700), while 637 (cohort 1 = 135, cohort 2 = 502) patients completed the ESAS-r at baseline and end of radiotherapy and were included in the anchor-based analysis. Mean age at diagnosis was similar between the groups: cohort 1; 71.5 ± 5.7 vs. cohort; 2 72 ± 5.4 years (total 71.8 ± 5.5). Overall, cohort 1 had higher stage (Stage 3: 32.7% vs 3.6%, p < 0.001) and reception of chemotherapy (68.6% vs. 16.1%, p < 0.001). Mean baseline fatigue was higher for cohort 1 vs. 2 (2.7 ± 2.5 vs. 2.1 ± 2.3, p = 0.006). On univariate and multivariable analyses, RNI was not associated with an increased odd of MID for fatigue at the end of RT (44% vs. 47%; OR 0.89, 95% CI 0.61-1.30, p = 0.56). After adjusting for confounders (age, duration of RT, endocrine therapy), treatment with RNI was not associated with increased odds of worse fatigue at the end of RT (OR 1.33, 95% CI 0.85-2.10, p = 0.22). Higher baseline fatigue (OR 0.86, 95% CI 0.79-0.92, p < 0.001) and receipt of chemotherapy had decreased odds (OR 0.50, 95% CI 0.32-0.86, p = 0.001) and were the only factors associated with decreased odds of MID. Dynamic changes showed a significant worsening of fatigue scores over time (p < 0.001) towards the end of RT and recovery at first follow-up (p < 0.001) with no difference between the cohorts (p = 0.38); both experienced parallel worsening of fatigue levels over time (cohort*time p = 0.71 and cohort*time²p = 0.78). On multivariable analysis earlier stage, the absence of chemotherapy and higher baseline depression were independent predictors of worse fatigue scores over time (p = 0.01, p = 0.003, and p = 0.02, respectively).

CONCLUSION

The addition of RNI in elderly BC patients is not associated with a significant worsening of patient-reported fatigue. Predictors of acute fatigue will enable shared decision making between patients and clinicians.

Impact of Diabetes on the Symptoms of Breast Cancer Survivors

OBJECTIVES

To examine the impact of diabetes on the symptoms of women with breast cancer.

SAMPLE & SETTING

121 women with breast cancer who self-identified as having a diabetes diagnosis and 1,006 women with breast cancer without diabetes from 97 sites across the United States.

METHODS & VARIABLES

Symptom scores for depression, anxiety, sexual function, peripheral neuropathy, physical function, attention function, sleep disturbance, and fatigue were compared between women with breast cancer and diabetes and women with breast cancer without diabetes, controlling for age, education, income, marital status, and body mass index (BMI).

RESULTS

Women with breast cancer and diabetes who were three to eight years postdiagnosis reported poorer physical and attention function, more sleep disturbance, and greater fatigue than women with breast cancer without diabetes. Age, education, income, and BMI were independent predictors of symptoms experienced by women with breast cancer.

IMPLICATIONS FOR NURSING

Oncology nurses can assess and monitor women with breast cancer and diabetes for increased post-treatment sequelae. If problematic symptoms are identified, implementing treatment plans can decrease symptom burden and increase quality of life for women with breast cancer and diabetes.

Higher levels of stress and different coping strategies are associated with greater morning and evening fatigue severity in oncology patients receiving chemotherapy

PURPOSE

A cancer diagnosis and associated treatments are stressful experiences for most patients. Patients' perceptions of stress and their use of coping strategies may influence fatigue severity. This study extends our previous work describing distinct profiles of morning (i.e., Very Low, Low, High, and Very High) and evening (i.e., Low, Moderate, High, and Very High) fatigue in oncology patients by evaluating for differences in stress and coping strategies among these fatigue classes.

METHODS

This longitudinal study evaluated for changes in morning and evening fatigue in oncology patients (n = 1332) over two cycles of chemotherapy (CTX). Patients completed measures of cumulative exposure to stressful life events (SLEs) (i.e., the Life Stressor Checklist-Revised), general stress (i.e., Perceived Stress Scale [PSS]), cancer-specific stress (i.e., Impact of Event Scale-Revised [IES-R]), and coping strategies (i.e., Brief Cope). Differences among the latent classes were evaluated using analyses of variance, Kruskal-Wallis, or chi-square tests.

RESULTS

Patients in both the Very High morning and evening fatigue classes reported higher numbers of and a higher impact from previous SLEs and higher PSS scores than the other fatigue classes. The IES-R scores for the Very High morning fatigue class met the criterion for subsyndromal PTSD. Patients in the Very High evening fatigue class used a higher number of engagement coping strategies compared with the Very High morning fatigue class.

CONCLUSIONS

Our findings suggest that interventions to reduce stress and enhance coping warrant investigation to decrease fatigue in patients undergoing CTX.

Symptom Trajectories Are Associated With Co-occurring Symptoms During Chemotherapy for Breast Cancer

CONTEXT

Symptoms are reported to co-occur during treatment for breast cancer. We previously identified three patterns of fatigue and two patterns of disturbed sleep, depressed mood, and anxiety in women undergoing chemotherapy for breast cancer using a Latent Growth Mixture Model.

OBJECTIVES

The purpose of this study was to explore whether membership in symptom classes of fatigue, disturbed sleep, depressed mood, and anxiety is associated with other symptoms at moderate-to-severe levels.

METHODS

Using data from three longitudinal studies, Wilcoxon rank-sum tests and Jonckheere-Terpstra tests for trend were used to distinguish between classes of women on co-occurring symptoms. Summative scores were calculated, including the number of days subjects reported moderate-to-severe levels (4 or higher on a 0-10 scale) of seven symptoms during two cycles of chemotherapy and compared to class membership.

RESULTS

Participants (n = 166) in the higher fatigue severity class reported more days with moderate-to-severe disturbed sleep, depressed mood, anxiety, nausea, and trouble thinking. Women in the higher severity disturbed sleep class reported more days with moderate-to-severe fatigue, depressed mood, anxiety, and trouble thinking. Women in the higher depressed mood severity class reported more days with moderate-to-severe fatigue, disturbed sleep, anxiety, and nausea. Women in the higher anxiety severity class reported more days with moderate-to-severe fatigue, disturbed sleep, and depressed mood.

CONCLUSION

Moderate-to-severe symptoms co-occur during cancer treatment for breast cancer. The dynamic process of multiple symptoms may be altered by future identification of a shared etiology.

Distinct Trajectories of Fatigue and Sleep Disturbance in Women Receiving Chemotherapy for Breast Cancer

PURPOSE/OBJECTIVES

To examine self-reported severity of fatigue and disturbed sleep experienced daily by women with breast cancer during multiple cycles of chemotherapy, exploring potential classes of women experiencing similar symptom trajectories.
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DESIGN

In a secondary analysis, classes of women experiencing similar patterns of fatigue and disturbed sleep were identified.
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SETTING

Oncology clinics in the United States.
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SAMPLE

166 women with breast cancer receiving chemotherapy. 
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METHODS

Severity scores were self-reported daily using an automated system. Classes of fatigue and disturbed sleep severity were identified using latent growth mixture modeling.
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MAIN RESEARCH VARIABLES

Fatigue, disturbed sleep, age, stage of disease, education, employment, marital status, chemotherapy regimen, hours lying down, and missed work.
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FINDINGS

Three fatigue classes were identified.

CONCLUSIONS

Patterns of symptom trajectories for fatigue and disturbed sleep were distinguished by baseline symptom severity.
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IMPLICATIONS FOR NURSING

Identification of women at risk for fatigue and disturbed sleep may allow clinicians to intensify symptom management.

A Pilot Study of Proinflammatory Cytokines and Fatigue in Women With Breast Cancer During Chemotherapy

BACKGROUND

Fatigue remains a prevalent, persistent, and debilitating side effect of chemotherapy for stage I and II breast cancer patients. Severity of fatigue varies among patients. Evidence suggests that proinflammatory cytokines contribute to the development of fatigue.

OBJECTIVE

The aim of this study is to investigate predictors of fatigue and cytokine levels in women undergoing chemotherapy for stage I or II breast cancer.

METHODS

Piper Fatigue Scales and blood samples for interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) levels were collected at baseline and days 7, 14, and 21 for each chemotherapy cycle. Descriptive statistics, general linear mixed models, and graphic analysis were used to analyze the data.

RESULTS

The predominantly white convenience sample was composed of 11 women with stage I or II breast cancer who were 37 to 72 years old (mean, 52 years). Predictors of fatigue were type of chemotherapy drugs, time, and IL-6 levels. A predictor of IL-6 and TNF-α levels was whether chemotherapy was administered at the visit. Type of chemotherapy significantly predicted TNF-α levels. Fatigue patterns were characterized by chaotic pattern of peaks and troughs unique to each woman.

CONCLUSIONS

Women with stage I and II breast cancer experienced variability in the severity of fatigue and levels of IL-6 and TNF-α throughout their treatment trajectories. The presence and role of genetic variants related to cancer-related fatigue may explain the individual variation and warrant further research.

IMPLICATIONS FOR PRACTICE

These findings highlight the importance of symptom assessments including fatigue at each clinic visit and individualized interventions throughout the cancer trajectory.

Interleukin-1 as a mediator of fatigue in disease: a narrative review

Fatigue is commonly reported in a variety of illnesses, and it has major impact on quality of life. Previously, it was thought that fatigue originates in the skeletal muscles, leading to cessation of activity. However, more recently, it has become clear that the brain is the central regulator of fatigue perception. It has been suggested that pro-inflammatory cytokines, especially interleukin-1 alpha (IL-1α) and interleukin-1 beta (IL-1β), play a prominent role in the development of central fatigue, and several studies have been performed to elucidate the connection between inflammation and these central processes.In this narrative review, mechanisms of action of IL-1 are described, with special attention to its effect on the central nervous system. In addition, we present a summary of studies that (i) investigated the relationship between circulating IL-1α and IL-1β and fatigue severity and/or (ii) evaluated the effect of inhibiting IL-1 on fatigue. We aim to improve the understanding of fatigue in both inflammatory and non-inflammatory illnesses, which could help develop strategies to treat fatigue more effectively.Reviewing the studies that have been performed, it appears that there is a limited value of measuring circulating IL-1. However, inhibiting IL-1 has a positive effect on severe fatigue in most studies that have been conducted.

Inflammatory pathway genes associated with inter-individual variability in the trajectories of morning and evening fatigue in patients receiving chemotherapy

Fatigue, a highly prevalent and distressing symptom during chemotherapy (CTX), demonstrates diurnal and interindividual variability in severity. Little is known about the associations between variations in genes involved in inflammatory processes and morning and evening fatigue severity during CTX. The purposes of this study, in a sample of oncology patients (N=543) with breast, gastrointestinal (GI), gynecological (GYN), or lung cancer who received two cycles of CTX, were to determine whether variations in genes involved in inflammatory processes were associated with inter-individual variability in initial levels as well as in the trajectories of morning and evening fatigue. Patients completed the Lee Fatigue Scale to determine morning and evening fatigue severity a total of six times over two cycles of CTX. Using a whole exome array, 309 single nucleotide polymorphisms SNPs among the 64 candidate genes that passed all quality control filters were evaluated using hierarchical linear modeling (HLM). Based on the results of the HLM analyses, the final SNPs were evaluated for their potential impact on protein function using two bioinformational tools. The following inflammatory pathways were represented: chemokines (3 genes); cytokines (12 genes); inflammasome (11 genes); Janus kinase/signal transducers and activators of transcription (JAK/STAT, 10 genes); mitogen-activated protein kinase/jun amino-terminal kinases (MAPK/JNK, 3 genes); nuclear factor-kappa beta (NFkB, 18 genes); and NFkB and MAP/JNK (7 genes). After controlling for self-reported and genomic estimates of race and ethnicity, polymorphisms in six genes from the cytokine (2 genes); inflammasome (2 genes); and NFkB (2 genes) pathways were associated with both morning and evening fatigue. Polymorphisms in six genes from the inflammasome (1 gene); JAK/STAT (1 gene); and NFkB (4 genes) pathways were associated with only morning fatigue. Polymorphisms in three genes from the inflammasome (2 genes) and the NFkB (1 gene) pathways were associated with only evening fatigue. Taken together, these findings add to the growing body of evidence that suggests that morning and evening fatigue are distinct symptoms.

Polymorphisms in Cytokine Genes Are Associated With Higher Levels of Fatigue and Lower Levels of Energy in Women After Breast Cancer Surgery

CONTEXT

Little is known about the phenotypic and molecular characteristics associated with changes over time in fatigue and lack of energy in patients with breast cancer.

OBJECTIVES

The aim of this study was to identify subgroups (i.e., latent classes) of women with distinct fatigue and energy trajectories; evaluate for differences in phenotypic characteristics between the latent classes for fatigue and energy; and evaluate for associations between polymorphisms in genes for pro- and anti-inflammatory cytokines, their receptors, and their transcriptional regulators and latent class membership.

METHODS

Patients were enrolled before and followed for six months after breast cancer surgery. Latent class analyses were done to identify subgroups of patients with distinct fatigue and energy trajectories. Candidate gene analyses were done to identify cytokine genes associated with these two symptoms.

RESULTS

For both fatigue and lack of energy, two distinct latent classes were identified. Phenotypic characteristics associated with the higher fatigue class were younger age, higher education, lower Karnofsky Performance Status score, higher comorbidity, higher number of lymph nodes removed, and receipt of chemotherapy (CTX). Polymorphisms in interleukin (IL) 1β and IL10 were associated with membership in the higher fatigue class. Phenotypic characteristics associated with the lower energy class included: a lower Karnofsky Performance Status score and a higher comorbidity score. A polymorphism in IL1R1 was associated with membership in the lower energy class.

CONCLUSION

Within each latent class, the severity of fatigue and decrements in energy were relatively stable over the first six months after breast cancer surgery. Distinct phenotypic characteristics and genetic polymorphisms were associated with membership in the higher fatigue and lower energy classes.

Symptom burden and quality of life in survivorship: a review of the literature

BACKGROUND

Cancer has a great impact on the well-being of affected persons and their caregivers long into survivorship.

OBJECTIVE

This article reviews the state of science on the survivorship experience of cancer survivors and caregivers, with a focus on symptom burden and quality of life (QOL) after treatment termination.

METHODS

The primary databases utilized included PubMed and CINAHL. Search results were limited to human participants, English language, and publications from 2008 to 2013. The articles retrieved included studies of prostate, breast, colorectal, and gynecologic cancers during adulthood.

RESULTS

As many as a third of cancer survivors experienced symptoms after treatment cessation equivalent to those experienced during treatment. Fatigue, depression or mood disturbance, sleep disruption, pain, and cognitive limitation were commonly reported by survivors across various malignancies; depression, anxiety, and sleep disturbance affected some caregivers. The studies indicated residual symptoms that extend into survivorship have a great impact on QOL and are associated with disability and healthcare utilization. Younger age, lower socioeconomic status, and increased comorbidities are associated with poorer QOL and higher symptom distress in cancer survivors. Younger age and lower income are associated with greater distress and poorer QOL in caregivers.

CONCLUSIONS

Survivors and caregivers struggle with symptom burden and diminished QOL long into survivorship. Longitudinal studies are needed to investigate the persistence and severity of symptom burden over time as well as long-term and late effects of these symptoms.

IMPLICATIONS FOR PRACTICE

Interventions designed to help alleviate symptom burden in those most affected are needed.

Predictors and Trajectories of Morning Fatigue Are Distinct From Evening Fatigue

CONTEXT

Fatigue is the most common symptom in oncology patients during chemotherapy. Little is known about the predictors of interindividual variability in initial levels and trajectories of morning fatigue severity in these patients.

OBJECTIVES

An evaluation was done to determine which demographic, clinical, and symptom characteristics were associated with initial levels as well as the trajectories of morning fatigue and to compare findings with our companion paper on evening fatigue.

METHODS

A sample of outpatients with breast, gastrointestinal, gynecological, and lung cancer (n = 586) completed demographic and symptom questionnaires a total of six times over two cycles of chemotherapy. Fatigue severity was evaluated using the Lee Fatigue Scale. Hierarchical linear modeling was used to answer the study objectives.

RESULTS

A large amount of interindividual variability was found in the morning fatigue trajectories. A piecewise model fit the data best. Patients with higher body mass index, who did not exercise regularly, with a lower functional status, and who had higher levels of state anxiety, sleep disturbance, and depressive symptoms reported higher levels of morning fatigue at enrollment. Variations in the trajectories of morning fatigue were predicted by the patients' ethnicity and younger age.

CONCLUSION

The modifiable risk factors that were associated with only morning fatigue were body mass index, exercise, and state anxiety. Modifiable risk factors that were associated with both morning and evening fatigue included functional status, depressive symptoms, and sleep disturbance. Using this information, clinicians can identify patients at higher risk for more severe morning fatigue and evening fatigue, provide individualized patient education, and tailor interventions to address the modifiable risk factors.

Trajectories of Evening Fatigue in Oncology Outpatients Receiving Chemotherapy

CONTEXT

Fatigue is a distressing persistent sense of physical tiredness that is not proportional to a person's recent activity. Fatigue impacts patients' treatment decisions and can limit their self-care activities. Although significant interindividual variability in fatigue severity has been noted, little is known about predictors of interindividual variability in initial levels and trajectories of evening fatigue severity in oncology patients receiving chemotherapy.

OBJECTIVES

To determine whether demographic, clinical, and symptom characteristics were associated with initial levels and the trajectories of evening fatigue.

METHODS

A sample of outpatients with breast, gastrointestinal, gynecological, and lung cancer (N = 586) completed demographic and symptom questionnaires a total of six times over two cycles of chemotherapy. Fatigue severity was evaluated using the Lee Fatigue Scale. Hierarchical linear modeling was used to answer the study objectives.

RESULTS

A large amount of interindividual variability was found in the evening fatigue trajectories. A piecewise model fit the data best. Patients who were white, diagnosed with breast, gynecological, or lung cancer, and who had more years of education, childcare responsibilities, lower functional status, and higher levels of sleep disturbance and depression reported higher levels of evening fatigue at enrollment.

CONCLUSION

This study identified both nonmodifiable (e.g., ethnicity) and modifiable (e.g., childcare responsibilities, depressive symptoms, sleep disturbance) risk factors for more severe evening fatigue. Using this information, clinicians can identify patients at higher risk for more severe evening fatigue, provide individualized patient education, and tailor interventions to address the modifiable risk factors.

Perceived Fatigue Interference and Depressed Mood: Comparison of Chronic Fatigue Syndrome/Myalgic Encephalomyelitis Patients with Fatigued Breast Cancer Survivors

OBJECTIVE

Persistent fatigue and depressive symptoms are both highly prevalent among patients with Chronic Fatigue Syndrome/Myalgic Encephalomyelitis (CFS/ME) as well as breast cancer survivors. This study aimed to assess and directly compare perceptions of fatigue as highly interfering in one's daily functioning in both patient populations to better understand their relationships with depressed mood.

METHODS

Participants were 95 female CFS/ME patients and 67 females who were approximately 5 years post-treatment for stage 0-III breast cancer presenting with clinically elevated fatigue severity. Self-report measures were obtained on participants' fatigue-related interference in daily functioning and fatigue severity as well as depressed mood. Hierarchical regression was used to test effects controlling for relevant demographic, psychosocial, and medical covariates.

RESULTS

CFS/ME patients endorsed greater depressed mood and fatigue interference than did fatigued breast cancer survivors, p's<.001. These factors were significantly positively correlated among CFS/ME patients (β=.36, p<.001), but not the fatigued breast cancer survivors (β=.18, p=.19).

CONCLUSIONS

CFS/ME patients reported elevated fatigue symptoms and depression relative to fatigued breast cancer survivors. In the former group, greater depressed mood was highly and significantly associated with greater fatigue-related inference in daily activities. Potential targets for cognitive behavioral interventions are discussed.

Development and psychometric testing of a breast cancer survivor self-efficacy scale

PURPOSE/OBJECTIVES

To describe the development of a self-efficacy instrument that measures perceived ability to manage symptoms and quality-of-life problems resulting from the diagnosis and treatment of breast cancer.

DESIGN

Items were developed and content validity assessed. A 14-item scale was psychometrically evaluated using internal consistency reliability and several types of construct validity.

SAMPLE

1,127 female breast cancer survivors (BCSs).

METHODS

Written consents were mailed to the research office. Data were collected via mail and telephone.

MAIN RESEARCH VARIABLES

Demographics, symptom bother, communication with healthcare provider, attention function, fear of recurrence, depression, marital satisfaction, fatigue, sexual functioning, trait and state anxiety, and overall well-being.

FINDINGS

Data demonstrated that the breast cancer self-efficacy scale (BCSES) was reliable, with an alpha coefficient of 0.89, inter-item correlations ranging from 0.3-0.6, and item-total correlation coefficients ranging from 0.5-0.73. Three of 14 items were deleted because of redundancy as identified through high (> 0.7) inter-item correlations. Factor analysis revealed that the scale was unidimensional. Predictive validity was supported through testing associations between self-efficacy and theoretically supported quality-of-life variables, including physical, psychological, and social dimensions, as well as overall well-being.

CONCLUSIONS

The BCSES demonstrated high internal consistency reliability, unidimensionality, and excellent content and construct validity. This scale should be integrated into interventions that target self-efficacy for managing symptoms in BCSs.

IMPLICATIONS FOR NURSING

Nurses working with BCSs may use this tool to assess areas in which survivors might need to build confidence to adequately cope with their specific survivorship concerns.

KNOWLEDGE TRANSLATION

The use of the BCSES can inform nurse researchers about the impact of an intervention on self-efficacy in the context of breast cancer survivorship, improving the ability to deliver effective interventions. The scale is brief and easy to administer. Results of this study demonstrate clear psychometric reliability and validity, suggesting that the BCSES should be put to use immediately in interventions targeting the quality of life of BCSs.

Living with cancer-related uncertainty: associations with fatigue, insomnia, and affect in younger breast cancer survivors

PURPOSE

Uncertainty in cancer patients and survivors about cancer-related symptoms, treatment, and disease course has been related to poorer mental and physical health. However, little is known about whether cancer-related uncertainty relates with specific disease and treatment-related outcomes such as fatigue, insomnia, and affect disruptions. In this paper, we report these associations in younger survivors aged 50 years or less, a population increasing in prevalence.

METHODS

Participants included 313 breast cancer survivors (117 African-Americans and 196 Caucasians) who were aged 24 to 50 years and were 2 to 4 years posttreatment. Self-reported cancer-related uncertainty (Mishel Uncertainty in Illness Scale-Survivor Version), fatigue (Piper Fatigue Scale-Revised), insomnia (Insomnia Severity Index), and negative and positive affect (Positive and Negative Affect Schedule (PANAS)) measures were collected upon study entry.

RESULTS

Hierarchical regression analyses controlled for relevant sociodemographic variables include the following: race, age, years of education, number of children, employment status, marital status, monthly income, smoking status, family history of cancer, endorsement of treatment-induced menopause, and religiosity. Over and above these factors, higher cancer-related uncertainty was significantly associated with more self-reported fatigue (β = .43), insomnia (β = .34), negative affect (β = .43), as well as less positive affect (β = -.33), all ps < .01.

CONCLUSIONS

Younger breast cancer survivors who are 2-4 years posttreatment experience cancer-related uncertainty, with higher levels associated with more self-reported psychophysiological disruptions. Cancer survivors who present in clinical settings with high uncertainty about recurrence or management of long-term effects of treatment may thus benefit from assessment of fatigue, insomnia, and affect.

Avaliação da intervenção cognitivo-comportamental em gestão do stress em pacientes com fadiga oncológica, em radioterapia

Apresentam-se os resultados relativos a padrões de regulação emocional, percepção e satisfação com o suporte social após intervenção cognitivo-comportamental em gestão do stress (IGSCC) em pacientes em radioterapia com fadiga oncológica. Compara-se o grupo de controlo (n=35 radioterapia sem IGSCC) e o grupo experimental (n=35 radioterapia com IGSCC) no início e fim do tratamento tendo em conta variáveis sociodemográficas, Escala de ansiedade, depressão e stress, Escala de perceção e satisfação com o suporte social e o Termómetro da emoção. No grupo experimental, após IGSCC, há descida significativa (p<.001) da ansiedade, depressão e stress e aumento da percepção e satisfação com o suporte social. No grupo de controlo há subida significativa (p<.001) da desregulação emocional (ansiedade, depressão e stress) e subida da insatisfação com o suporte social. Salienta-se a eficácia da IGSCC sobre estados emocionais e percepção e satisfação com o suporte social em pacientes em radioterapia e com fadiga oncológica.

C-reactive protein predicts fatigue independently of depression in breast cancer patients prior to chemotherapy

Heightened inflammatory activity has been proposed as a mechanism for the development of cancer-related fatigue (CRF), a common and distressing condition that can negatively affect quality of life. Inflammation is also implicated in the pathogenesis of depression, and depression is a strong predictor of CRF. Thus, the role of the pro-inflammatory cytokine network in CRF may be mediated by depression or both conditions may share similar underlying physiological processes. The current study investigated associations between fatigue, depression and inflammatory cytokine (IFN-γ, IL-6, TNF-α) and CRP concentrations, as well as kynurenine pathway (KP) activation, in 61 breast cancer patients prior to chemotherapy. Changes in inflammatory markers and KP activation over time were also explored, and associations with changes in fatigue and depression were examined. Higher levels of CRP were significantly correlated with fatigue and depression before chemotherapy; nevertheless, CRP predicted fatigue independently of depression. Although greater kynurenine concentrations were associated with increased immune activation, there was no evidence that the KP played a role in fatigue or depression. Furthermore, no relationships emerged between either fatigue or depression and IFN-γ, IL-6, or TNF-α before chemotherapy. Nevertheless, kynurenine levels pre- and post-treatment significantly predicted changes in depression, suggesting that heightened KP activation may contribute to depressive symptoms in patients treated for cancer. In addition, IL-6 significantly covaried with fatigue. These preliminary findings provide some support for the idea that low-grade inflammation contributes to the development of CRF, independently of depression; however, there was no evidence that this is mediated by KP activity.

Recommendations for high-priority research on cancer-related fatigue in children and adults

Over the past decades, some scientific progress has been made in understanding and treating cancer-related fatigue (CRF). However, three major problems have limited further progress: lack of agreement about measurement, inadequate understanding of the underlying biology, and problems in the conduct of clinical trials for CRF. This commentary reports the recommendations of a National Cancer Institute Clinical Trials Planning Meeting and an ongoing National Cancer Institute working group to address these problems so that high-priority research and clinical trials can be conducted to advance the science of CRF and its treatment. Recommendations to address measurement issues included revising the current case definition to reflect more rigorous criteria, adopting the Patient Reported Outcomes Measurement Information System fatigue scales as standard measures of CRF, and linking legacy measures to the scales. With regard to the biology of CRF, the group identified the need for longitudinal research to examine biobehavioral mechanisms underlying CRF and testing mechanistic hypotheses within the context of intervention research. To address clinical trial issues, recommendations included using only placebo-controlled trial designs. setting eligibility to minimize sample heterogeneity or enable subgroup analysis, establishing a CRF severity threshold for participation in clinical trials, conducting dissemination trials of efficacious interventions (such as exercise), and combining nonpharmacologic and pharmacologic interventions to exploit the potential synergy between these approaches. Accomplishing these goals has the potential to advance the science of CRF and improve the clinical management of this troubling symptom.

Genetic variations in interleukin-8 and interleukin-10 are associated with pain, depressed mood, and fatigue in lung cancer patients

CONTEXT

A report by the National Cancer Institute identified that an important gap in symptom research is the investigation of multiple symptoms of cancer that might identify common biological mechanisms among cancer-related symptoms.

OBJECTIVES

We applied novel statistical methods to assess whether variants of 37 inflammation genes may serve as biologic markers of risk for severe pain, depressed mood, and fatigue in non-Hispanic white patients with non-small cell lung cancer.

METHODS

Pain, fatigue, and depressed mood were assessed before cancer treatment. We used a generalized, multivariate, classification tree approach to explore the influence of single-nucleotide polymorphisms in the inflammation genes in pain, depressed mood, and fatigue in lung cancer patients.

RESULTS

Among patients with advanced-stage disease, interleukin (IL)-8-T251A was the most relevant genetic factor for pain (odds ratio [OR] = 2.18, 95% CI = 1.34-3.55, P = 0.001), depressed mood (OR = 0.37, 95% CI = 0.14-1.0), and fatigue (OR = 2.07, 95% CI = 1.16-3.70). Among those with early-stage non-small cell lung cancer, variants in the IL-10 receptor were relevant for fatigue among women. Specifically, women with Lys_Glu or Glu_Glu genotype in the IL-10 gene had a 0.49 times lower risk of severe fatigue compared with those with Lys_Lys genotype (OR = 0.49, 95% CI = 0.25-0.92, P = 0.027). Among men with early-stage lung cancer, a marginal significance was observed for IL-1A C-889T, C/T, or T/T genotypes. These men had a lower risk of severe fatigue compared with those with C/C genotype (OR = 0.38, 95% CI = 0.13-1.06).

CONCLUSION

The interaction of multiple inflammation genes, along with nongenetic factors, underlies the occurrence of symptoms. IL-8 and IL-10 may serve as potential targets for treating multiple symptoms of cancer.

Symptom clusters of pain, depressed mood, and fatigue in lung cancer: assessing the role of cytokine genes

PURPOSE

Symptom clusters, the multiple, co-occurring symptoms experienced by cancer patients, are debilitating and affects quality of life. We assessed if a panel of immune-response genes may underlie the co-occurrence of severe pain, depressed mood, and fatigue and help identify patients with severe versus non-severe symptom clusters.

METHODS

Symptoms were assessed at presentation, prior to cancer treatment in 599 newly diagnosed lung cancer patients. We applied cluster analyses to determine the patients with severe versus non-severe symptom clusters of pain, depressed mood, and fatigue.

RESULTS

Two homogenous clusters were identified. One hundred sixteen patients (19 %) comprised the severe symptom cluster, reporting high intensity of pain, depressed mood, and fatigue and 183 (30 %) patients reported low intensity of these symptoms. Using Bayesian model averaging methodology, we found that of the 55 single nucleotide polymorphisms assessed, an additive effect of mutant alleles in endothelial nitric oxide synthase (-1474 T/A) (posterior probability of inclusion (PPI) = 0.78, odds ratio (OR) = 0.54, 95 % credible interval (CI) = (0.31, 0.93)); IL1B T-31C (PPI = 0.72, OR = 0.55, 95 % CI = (0.31, 0.97)); TNFR2 Met(196)Arg (PPI = 0.70, OR = 1.85, 95 % CI = (1.03, 3.36)); PTGS2 exon 10+837T > C (PPI = 0.69, OR = 0.54, 95 % CI = (0.28, 0.99)); and IL10RB Lys(47)Glu (PPI = 0.68; OR = 1.74; 95 % CI = (1.04, 2.92)) were predictive for symptom clusters.

CONCLUSIONS

Genetic polymorphisms may facilitate identification of high-risk patients and development of individualized symptom therapies.

Changes over time in occurrence, severity, and distress of common symptoms during and after radiation therapy for breast cancer

CONTEXT

Little is known about changes over time in multiple dimensions of the symptom experience in patients with breast cancer undergoing radiation therapy (RT).

OBJECTIVES

This study evaluated for changes in and predictors of occurrence, severity, and distress of six common symptoms (lack of energy, worrying, difficulty sleeping, feeling drowsy, sweats, and pain) during RT for breast cancer.

METHODS

Patients (n = 188) completed the Memorial Symptom Assessment Scale before, during, and after the completion of RT, over a six-month period. Changes in symptom occurrence were evaluated using multilevel logistic regression analysis. Changes in severity and distress scores were evaluated using multilevel proportional odds ordinal logistic regression. The impact of five demographic and clinical characteristics (age, functional status, comorbidities, axillary lymph node dissection, and previous chemotherapy) was evaluated in these analyses.

RESULTS

The trajectories for occurrence, severity, and distress for the six symptoms followed similar patterns. For three of the six symptoms (lack of energy, feeling drowsy, and worrying), all three dimensions changed over time. For the other three symptoms (difficulty sleeping, sweats, and pain), no changes over time occurred for any of the symptom dimensions. The overall effect of the five covariates was to increase symptom burden across all three dimensions.

CONCLUSION

Findings from this study provide a more complete picture of the symptom experience of women who undergo RT for breast cancer. These findings can be used to identify patients at higher risk for more severe symptoms before, during, and after RT.

Predictors of fatigue in cancer patients before and after chemotherapy

Fatigue is a debilitating and common condition in cancer patients. This study examined pretreatment predictors of fatigue before chemotherapy and also assessed whether these could prospectively predict fatigue posttreatment. A total of 100 patients completed questionnaires assessing psychological factors, physical activity and sleep. A subsample of 26 participants wore actigraphs to objectively assess sleep/wake and activity/rest. Fatigue was measured pretreatment and posttreatment and at follow-up several months later. Greater pretreatment pain, depression, stress and sleep disruption significantly predicted greater fatigue before chemotherapy, explaining 55 percent of the variance. Pretreatment fatigue significantly predicted post-treatment fatigue. No other significant prospective predictors of posttreatment fatigue emerged.

Factors associated with fatigue after surgery in women with early-stage invasive breast cancer

PURPOSE

Fatigue is one of the most frequent symptoms in patients with cancer. However, the precise determinants of fatigue are still unknown. This study was conducted to investigate factors correlated with cancer-related fatigue before surgery and just before subsequent adjuvant therapy.

METHODS

Patients completed the Multidimensional Fatigue Inventory (MFI-20), the European Organization for Research and Treatment of Cancer 30-item quality-of-life questionnaire before and after surgery, the Trait Anxiety Inventory and the Life Orientation Test before surgery, and the State Anxiety Inventory before the start of adjuvant therapy. Multiple regression analysis of determinants of change in MFI-20 total score after surgery was conducted.

RESULTS

A series of 466 eligible patients with stage I-III breast cancer with planned surgery were recruited. An increase in MFI-20 total score after surgery was significantly correlated with higher preoperative fatigue and lower role functioning before surgery; a decrease in role functioning, physical functioning, and cognitive functioning after surgery; an increase in insomnia after surgery; and a higher state anxiety after surgery. Disease stage, lymph node metastases, surgical procedure, and demographic characteristics (e.g., age, marital status, having children, educational level) were not correlated with fatigue in multivariate analysis.

CONCLUSION

These results suggest that worsening fatigue after surgery for breast cancer is associated with a decrease in physical functioning and an increase in psychological distress rather than with the cancer characteristics. Therefore, screening measures should be implemented at the time of diagnosis-before starting treatment-to identify psychologically vulnerable patients and to offer them professional support.

Impact of malglycemia on clinical outcomes in hospitalized patients with cancer: a review of the literature

PURPOSE/OBJECTIVES

To examine empirical research regarding the role of malglycemia (hyperglycemia, hypoglycemia, or glycemic variability) on clinical outcomes among hospitalized patients with cancer.

DATA SOURCES

Research articles were obtained from the Ovid, PubMed, and CINAHL® databases. Key words used in the search included hyperglycemia or malglycemia and neoplasm combined with venous thromboembolism, infection, or mortality.

DATA SYNTHESIS

Eleven research articles were examined reporting the impact of malglycemia on various outcomes, including infection, mortality or survival, length of hospital stay, and toxicity.

CONCLUSIONS

Findings suggest that malglycemia may have a negative impact on outcomes for hospitalized patients with cancer. Increased rates of infection, mortality, length of stay, and toxicities, as well as decreased survival, were reported.

IMPLICATIONS FOR NURSING

Oncology nurses play an important role in the identification of patients with malglycemia. Early assessment and intervention for those patients can improve outcomes and quality of life.

Hypothalamic-pituitary-adrenal axis function in survivors of childhood acute lymphoblastic leukemia and healthy controls

Of all malignancies in children, acute lymphoblastic leukemia (ALL) is the most common type. Since survival significantly improves over time, treatment-related side effects become increasingly important. Glucocorticoids play an important role in the treatment of ALL, but they may suppress the hypothalamic-pituitary-adrenal (HPA) axis. The duration of HPA axis suppression is not yet well defined. The present study aimed at assessing the function of the HPA axis by determining the cortisol awakening response (CAR) and the dexamethasone (DEX) suppression test in children that were treated for childhood ALL, compared to a healthy age and sex matched reference group. In addition, questionnaires regarding sleep, fatigue, depression and quality of life were completed by the children and their parents. Fourty-three survivors who finished their treatment for childhood ALL 37 (interquartile range 22-75) months before and 57 healthy controls were included. No differences in CAR were observed between ALL survivors and the reference group, but survivors of ALL had higher morning cortisol levels and an increased cortisol suppression in response to oral dexamethasone. Higher cortisol levels in childhood ALL survivors were associated with more fatigue and poorer quality of life. We conclude that the experience of a stressful life event in the past may have caused a long-term dysregulation of the HPA axis in childhood ALL survivors, as reflected in an increased cortisol production and an enhanced negative feedback mechanism.

A systematic review of the association between immunogenomic markers and cancer-related fatigue

Fatigue, which is one of the most commonly reported symptoms in cancer, can negatively impact the functional status and the health-related quality of life of individuals. This paper systematically reviews 34 studies to determine patterns of associations between immunogenomic markers and levels of cancer-related fatigue (CRF). Findings from the longitudinal studies revealed that elevated fatigue symptoms especially of women with early stages of breast cancer were associated with high levels of neutrophil/monocyte, IL-1ra, and IL-6 during radiation therapy; high levels of CD4+, IL-1β, and IL-6 with stressing stimuli; high levels of IL-1β during chemotherapy; low NK cell levels after chemotherapy; and presence of homozygous IL-6 and TNF alleles. In the cross-sectional studies, associations between levels of fatigue and immune/inflammatory markers were not consistently found, especially when covariates such as BMI, ethnicity, menopausal status, and educational level were controlled in the statistical analyses. However, a number of genomic markers were observed to be elevated mostly in fatigued breast cancer survivors in the cross-sectional studies. Gaps in knowledge and recommendations for future research are discussed.

Impact of partial versus whole breast radiation therapy on fatigue, perceived stress, quality of life and natural killer cell activity in women with breast cancer

Introduction

This pilot study used a prospective longitudinal design to compare the effect of adjuvant whole breast radiation therapy (WBRT) versus partial breast radiation therapy (PBRT) on fatigue, perceived stress, quality of life and natural killer cell activity (NKCA) in women receiving radiation after breast cancer surgery.

Methods

Women (N = 30) with early-stage breast cancer received either PBRT, Mammosite brachytherapy at dose of 34 Gy 10 fractions/5 days, (N = 15) or WBRT, 3-D conformal techniques at dose of 50 Gy +10 Gy Boost/30 fractions, (N = 15). Treatment was determined by the attending oncologist after discussion with the patient and the choice was based on tumor stage and clinical need. Women were assessed prior to initiation of radiation therapy and twice after completion of radiation therapy. At each assessment, blood was obtained for determination of NKCA and the following instruments were administered: Perceived Stress Scale (PSS), Functional Assessment of Cancer Therapy-Fatigue (FACT-F), and Functional Assessment of Cancer Therapy-General (FACT-G). Hierarchical linear modeling (HLM) was used to evaluate group differences in initial outcomes and change in outcomes over time.

Results

Fatigue (FACT-F) levels, which were similar prior to radiation therapy, demonstrated a significant difference in trajectory. Women who received PBRT reported progressively lower fatigue; conversely fatigue worsened over time for women who received WBRT. No difference in perceived stress was observed between women who received PBRT or WBRT. Both groups of women reported similar levels of quality of life (FACT-G) prior to initiation of radiation therapy. However, HLM analysis revealed significant group differences in the trajectory of quality of life, such that women receiving PBRT exhibited a linear increase in quality of life over time after completion of radiation therapy; whereas women receiving WBRT showed a decreasing trajectory. NKCA was also similar between therapy groups but additional post hoc analysis revealed that better quality of life significantly predicted higher NKCA regardless of therapy.

Conclusions

Compared to WBRT, PBRT results in more rapid recovery from cancer-related fatigue with improved restoration of quality of life after radiation therapy. Additionally, better quality of life predicts higher NKCA against tumor targets, emphasizing the importance of fostering quality of life for women undergoing adjuvant radiation therapy.

Factors affecting hope in a sample of fatigued breast cancer outpatients

OBJECTIVE

The aims of this study of women with breast cancer were: to describe the levels of hope and compare hope scores for these patients with a sample from the general Norwegian population; to describe the relationship between hope and fatigue; and finally to evaluate the effect of demographic and clinical characteristics and fatigue on hope.

METHOD

A total of 160 Norwegian outpatients with cancer and fatigue (>2.5 on a 0-10 scale) completed the Herth Hope Index (HHI), Fatigue Questionnaire (FQ), and Self-administered Comorbidity Questionnaire (SCQ).

RESULTS

The mean age of the women was 55.3 years (SD = 9.4), 81% lived with someone, and 67% were employed. The most common comorbidities were back pain (42%), osteoarthritis (26%), and headache (19%). The fatigued breast cancer patients reported significantly higher total hope scores than the general Norwegian population (p < .0001). The difference was largest in the individual item "I can see a light in the tunnel," to which the cancer sample reported the highest scores, but they also felt more "scared about the future." Total hope score was negatively correlated with total fatigue (TF), mental fatigue (MF), and chronic fatigue (CF), but not with physical fatigue (PF). Demographic and clinical characteristics were not significantly related to hope, except that patients who were married or living with someone showed significantly higher total hope scores.

SIGNIFICANCE OF RESULTS

The higher levels of hope in breast cancer patients compared with the general Norwegian population may reflect a response shift in patients after getting a cancer diagnosis. The fact that a significant relationship was found between total hope scores and living arrangements may indicate that hope is easier to establish when patients have someone to relate to or receive support from. Hope and total fatigue were significantly, but weakly correlated.

Retrospective study of the effect of disease progression on patient reported outcomes in HER-2 negative metastatic breast cancer patients

BACKGROUND

This retrospective study evaluated the impact of disease progression and of specific sites of metastasis on patient reported outcomes (PROs) that assess symptom burden and health related quality of life (HRQoL) in women with metastatic breast cancer (mBC).

METHODS

HER-2 negative mBC patients (n = 102) were enrolled from 7 U.S. community oncology practices. Demographic, disease and treatment characteristics were abstracted from electronic medical records and linked to archived Patient Care Monitor (PCM) assessments. The PCM is a self-report measure of symptom burden and HRQoL administered as part of routine care in participating practices. Linear mixed models were used to examine change in PCM scores over time.

RESULTS

Mean age was 57 years, with 72% of patients Caucasian, and 25% African American. Median time from mBC diagnosis to first disease progression was 8.8 months. Metastasis to bone (60%), lung (28%) and liver (26%) predominated at initial metastatic diagnosis. Results showed that PCM items assessing fatigue, physical pain and trouble sleeping were sensitive to either general effects of disease progression or to effects associated with specific sites of metastasis. Progression of disease was also associated with modest but significant worsening of General Physical Symptoms, Treatment Side Effects, Acute Distress and Impaired Performance index scores. In addition, there were marked detrimental effects of liver metastasis on Treatment Side Effects, and of brain metastasis on Acute Distress.

CONCLUSIONS

Disease progression has a detrimental impact on cancer-related symptoms. Delaying disease progression may have a positive impact on patients' HRQoL.

Comparison of radiation-induced fatigue across 3 different radiotherapeutic methods for early stage breast cancer

BACKGROUND

Radiation-induced fatigue is a common side effect of breast cancer radiotherapy (RT). This study compares the induction and persistence of radiation-induced fatigue in accelerated partial breast irradiation (APBI), accelerated hypofractionated RT, and standard whole breast RT.

METHODS

Eighty patients were treated with a novel, 3-week accelerated regimen with 333 centigrays (cGy) for 15 fractions to 4995 cGy; of these, 45 were treated using APBI, whereas 35 patients were treated using accelerated hypofractionated RT. These patients were matched with patients receiving 200 cGy for 30 fractions using standard whole breast irradiation. Fatigue score, using Common Terminology Criteria for Adverse Events version 4.0, was obtained at 5 time points: consultation before RT, first on-treatment visit, halfway through treatment, last on-treatment visit, and first follow-up.

RESULTS

Maximum fatigue and average fatigue since treatment were calculated. Maximum fatigue was 1.5, 2.4, and 2.3, and average fatigue was 0.46, 0.81, and 0.92 for the APBI, accelerated hypofractionated RT, and standard whole breast RT groups, respectively. The accelerated schedules did not have significantly less fatigue than standard whole breast RT at first on-treatment visit. Maximum fatigue in APBI was reduced compared with standard whole breast RT. Accelerated hypofractionated RT had fatigue trajectory similar to standard whole breast RT. Multivariate analysis found that increased age and whole breast treatment are associated with more fatigue. Chemotherapy, hormone therapy, race, and T stage were not significant predictors of maximum fatigue. Results were similar for average fatigue, except that magnitudes were smaller.

CONCLUSIONS

Field sizes and age in breast RT were positively associated with maximum radiation-induced fatigue. Accelerated hypofractionated RT and standard whole breast RT had similar fatigue trajectories compared with APBI, which reduced fatigue at all times.

Trajectories of fatigue in patients with breast cancer before, during, and after radiation therapy

BACKGROUND

Fatigue is a significant problem associated with radiation therapy (RT).

OBJECTIVE

This study examined how evening and morning fatigue changed from the time of simulation to 4 months after the completion of RT and investigated whether specific demographic and disease characteristics and baseline severity of symptoms predicted the initial levels of fatigue and characteristics of the trajectories of fatigue.

METHODS

Seventy-three women with breast cancer completed questionnaires that assessed sleep disturbance, depression, anxiety, and pain prior to the initiation of RT and the Lee Fatigue Scale, over 6 months. Descriptive statistics and hierarchical linear modeling were used for data analysis.

RESULTS

Large amounts of interindividual variability were found in the trajectories of fatigue. Evening fatigue at baseline was negatively influenced by having children at home and depression. The trajectory of evening fatigue was worse for women who were employed. Morning fatigue at baseline was influenced by younger age, lower body mass index, and the degree of sleep disturbance and trait anxiety. Trajectories of morning fatigue were worse for patients with a higher disease stage and more medical comorbidities.

CONCLUSION

Interindividual and diurnal variability in fatigue found in women with breast cancer is similar to that found in men with prostate cancer. However, the predictors of interindividual variability in fatigue between these 2 cohorts were different.

IMPLICATIONS FOR PRACTICE

Diurnal variability and different predictors for morning and evening fatigue suggest different underlying mechanisms. The various predictors of fatigue need to be considered in the design of future intervention studies.

One-year outcomes of a behavioral therapy intervention trial on sleep quality and cancer-related fatigue

PURPOSE

To determine 1-year outcomes of a four-component behavioral therapy (BT) sleep intervention (Individualized Sleep Promotion Plan [ISPP]) versus a healthy eating control (HEC) on cancer-related fatigue in women receiving breast cancer adjuvant chemotherapy treatment (CTX).

PATIENTS AND METHODS

A total of 219 participants from 12 oncology clinics were randomly assigned in a clinical trial. Before CTX, research nurses coached intervention participants to develop a BT plan including stimulus control, modified sleep restriction, relaxation therapy, and sleep hygiene. BT plans were revised before each CTX and 30, 60, and 90 days after the last CTX and reinforced 7 to 9 days later. HEC participants received nutritional information and equal attention. Pittsburgh Sleep Quality Index (PSQI), Daily Diary, Wrist Actigraph, and Piper Fatigue Scale measures and Repeated Linear Mixed Model analysis following the Intent to Treat paradigm were used.

RESULTS

Sleep quality differed over 1 years time (F [4,162] = 7.7, P < .001; by group, F [1,173] = 4.8, P = .029; and over time by group, F [4,162] = 3.3, P = .013). Pairwise comparisons revealed significant differences between groups at 90 days (P = .002) but not at 1 year (P = .052). Seven days of diary and actigraphy data did not corroborate with monthly reflections (PSQI). The night awakenings (Actigraph) pattern was significantly different by group over time (P = .046), with no differences between groups at 90 days or at 1 year. Fatigue was lower at 1 year than before CTX; no group effects were found.

CONCLUSION

The BT group, on average, experienced significant improvement on global sleep quality compared with the HEC group, but not on objective sleep or fatigue outcomes.