Faculty Bibliography

BACKGROUND: Transforming growth factor ss (TGFss) signaling has been shown to promote myocardial fibrosis and remodeling with coronary artery disease (CAD), and previous studies show a major role for fibrosis in the initiation of malignant ventricular arrhythmias (VA) and sudden cardiac arrest (SCA). Common single nucleotide polymorphisms (SNPs) in TGFss pathway genes may be associated with SCA. OBJECTIVE: We examined the association of common SNPs among 12 candidate genes in the TGFss pathway with the risk of SCA. METHODS: SNPs (n = 617) were genotyped in a case-control study comparing 89 patients with CAD and SCA caused by VA to 520 healthy control subjects. RESULTS: Nineteen SNPs among 5 genes (TGFB2, TGFBR2, SMAD1, SMAD3, SMAD6) were associated with SCA after adjustment for age and sex. After permutation analysis to account for multiple testing, a single SNP in TGFBR2 (rs9838682) was associated with SCA (odds ratio: 1.66, 95% confidence interval: 1.08 to 2.54, P = .02). CONCLUSION: We show an association between a common TGFBR2 polymorphism and risk of SCA caused by VA in the setting of CAD. If validated, these findings support the role of genetic variation in TGFss signaling in SCA susceptibility.

Personal characteristics that interact with both HIV diagnosis and its medical management can influence symptom experience. Little is known about how symptoms in populations with chronic illness vary by age, sex, or socioeconomic factors. As part of an ongoing prospective longitudinal study, this report describes symptoms experienced by 317 men and women living with HIV/AIDS. Participants were recruited at HIV clinics and community sites in the San Francisco Bay Area. Measures included the most recent CD4 cell count and viral load from the medical record, demographic and treatment variables, and the 32-item Memorial Symptom Assessment Scale to estimate prevalence, severity, and distress of each symptom and global symptom burden. The median number of symptoms was nine, and symptoms experienced by more than half the sample population included lack of energy (65%), drowsiness (57%), difficulty sleeping (56%), and pain (55%). Global symptom burden was unrelated to age or CD4 cell count. Those with an AIDS diagnosis had significantly higher symptom burden scores, as did those currently receiving antiretroviral therapy. African Americans reported fewer symptoms than Caucasians or Mixed/Other race, and women reported more symptom burden after controlling for AIDS diagnosis and race. Because high symptom burden is more likely to precipitate self-care strategies that may potentially be ineffective, strategies for symptom management would be better guided by tailored interventions from health care providers.

The purposes of this study were to identify the number and types of symptom clusters using yes/no responses from the Memorial Symptom Assessment Scale, identify the number and types of symptom clusters using severity scores from the Memorial Symptom Assessment Scale, compare the identified symptom clusters derived using severity scores to those derived using occurrence ratings, and evaluate for differences in symptom cluster severity scores between patients with breast and prostate cancer at the end of radiation therapy. Separate exploratory factor analyses were performed to determine the number of symptom clusters based on symptom occurrence rates and symptom severity ratings. Although specific symptoms within each symptom cluster were not identical, 3 very similar symptom clusters (ie, "mood-cognitive" symptom cluster, "sickness-behavior" symptom cluster, "treatment-related" symptom cluster) were identified regardless of whether occurrence rates or severity ratings were used to create the symptom clusters at the end of radiation therapy. However, the factor solution derived using the severity ratings fit the data better. Significant differences in severity scores for all 3 symptom clusters were found between patients with breast and prostate cancer. For all 3 symptom clusters, the patients with breast cancer had higher symptom cluster severity scores than the patients with prostate cancer.

GOALS OF WORK: The goals of the study were to determine the occurrence rates for and the severity of symptoms at the middle, end, and 1 month after the completion of radiation therapy (RT), to determine the number and types of symptom clusters at these three time points, and to evaluate for changes over time in these symptom clusters. MATERIALS AND METHODS: Symptom occurrence and severity were evaluated using the Memorial Symptom Assessment Scale (MSAS) in a sample of patients (n = 160) who underwent RT for breast or prostate cancer. At each time point, an exploratory factor analysis was done to determine the number of symptom clusters (i.e., symptom factors) based on the MSAS symptom severity ratings. MAIN RESULTS: The majority of the patients were male and married with a mean age of 61.1 years. The five symptoms with the highest occurrence rates across all three time points were lack of energy, pain, difficulty sleeping, feeling drowsy, and sweats. Although the number of symptoms and the specific symptoms within each symptom cluster were not identical across the three time points, three relatively similar symptom clusters (i.e., "mood-cognitive" symptom cluster, "sickness-behavior" symptom cluster, "treatment-related", or "pain" symptom cluster) were identified in this sample. The internal consistency coefficients for the mood-cognitive symptom cluster and sickness-behavior symptom cluster were adequate at > or =0.68. CONCLUSIONS: Three relatively stable symptom clusters were found across RT. The majority of the symptom cluster severity scores were significantly higher in patients with breast cancer compared to patients with prostate cancer.

Although fatigue and sleep disturbance are prevalent symptoms in oncology patients and their family caregivers, little is known about the factors that contribute to interindividual variability in symptom severity ratings as well as in their underlying biological mechanisms. In this study, we sought to determine whether a functional genetic variation in a prominent proinflammatory cytokine, tumor necrosis factor-alpha (TNFA-308G>A [rs1800629] promoter polymorphism) was associated with overall ratings of sleep disturbance and fatigue as well as with the trajectories of these symptoms. Over 6 months, participants completed standardized measures of sleep disturbance and fatigue. Multiple linear regression was used to assess the effect of the TNFA genotype and other covariates on mean sleep disturbance and fatigue scores. Hierarchical linear modeling was used to determine the effect of TNFA genotype on the trajectories of these symptoms. Common allele homozygotes reported higher levels of sleep disturbance (p=.09) and morning fatigue (p=.02) than minor allele carriers. Multivariate analyses demonstrated that age and genotype were predictors of both mean symptom scores and the trajectories of these symptoms. Findings provide preliminary evidence of an association between a functional promoter polymorphism in the TNFA gene and the severity of sleep disturbance and morning fatigue in oncology patients and their family caregivers.

The purpose of this article was to provide a comprehensive review of the epidemiological and genetic factors associated with ovarian cancer. A more complete understanding of the determinants of ovarian cancer may lead to the development of better screening and detection methods for this disease. The first section of this article reviews current literature on screening and early detection of ovarian cancer. The second section reviews the epidemiology of ovarian cancer, specifically highlighting the risk factors associated with the development of this disease. The article concludes with a discussion of how oncology nurses can apply this information to improve patient care.

OBJECTIVE: To evaluate for differences in subjective and objective measures of sleep between physically active and inactive female family caregivers of oncology patients at the initiation of their spouses' radiation therapy and evaluate for differences in demographic, clinical, and symptom characteristics between women in the 2 activity groups. DESIGN: Descriptive, cross-sectional study. SETTING: Two radiation treatment centers. PARTICIPANTS: Female family caregivers of patients who began radiation therapy for prostate, lung, or brain cancer. METHODS: Women were categorized as inactive (n=38) or active (n=30) based on self-report ratings of activity over a period of 2 days. Activity groups were compared on demographic and clinical characteristics, self-reported measures of sleep and other symptoms, and objective measures of sleep using wrist actigraphy. RESULTS: Inactive women had a higher number of comorbid conditions, lower levels of attentional function, less self-reported sleep time, a longer sleep onset latency, and a higher percentage of daytime sleep as measured by actigraphy compared with active women. CONCLUSIONS: Inactivity in female family caregivers of oncology patients is associated with poorer self-reported sleep and decreased attentional function.

OBJECTIVES: To investigate the arachidonate 5-lipoxygenase-activating protein (ALOX5AP) gene as a potential modifier gene for coronary heart disease (CHD) in patients with familial hypercholesterolemia (FH). BACKGROUND: The ALOX5AP gene is required for the synthesis of leukotrienes, a protein family involved in inflammatory responses. Recently, genetic variation in this gene was shown to be associated with myocardial infarction in an Icelandic and British population. Since FH is characterized by severely increased levels of plasma low-density lipoprotein (LDL) cholesterol levels, chronic inflammation of the arterial wall, and subsequent premature CHD, the ALOX5AP gene could be an important modifier gene for CHD in FH. METHODS: In a cohort of 1817 FH patients, we reconstructed two four-marker haplotypes, previously defined in Icelandic (HapA) and British (HapB) individuals. The haplotypes were inferred with PHASE and the associations between the haplotypes and CHD were analyzed with a Cox proportional hazards model, adjusted for year of birth, sex, and smoking. RESULTS: HapB had a frequency of 6.9% and 8.2% in the group without and with CHD, respectively, conferring a hazard ratio of 1.48 (95% CI 1.17-1.89, p=0.001). This association was predominantly found in patients with LDL cholesterol levels above the median (HR 1.82, 95% CI 1.20-2.76, p=0.005). HapA was not associated with CHD. CONCLUSION: We conclude that genetic variation in the ALOX5AP gene contributes to CHD risk in patients with FH. Our findings emphasize the important role of inflammation in the pathogenesis of early CHD in this disorder, particularly in patients with more severely raised LDL cholesterol levels.