Faculty Bibliography

AIMS: Recent large association studies have revealed associations between genetic polymorphisms and myocardial infarction and coronary heart disease (CHD). We performed a replication study of 10 polymorphisms and CHD in a population with familial hypercholesterolemia (FH), individuals at extreme risk of CHD. METHODS AND RESULTS: We genotyped 10 polymorphisms in 2145 FH patients and studied the association between these polymorphisms and CHD in Cox proportional hazards models. We confirmed the associations between four polymorphisms and CHD, the rs1151640 polymorphism in the olfactory receptor family 13 subfamily G member 1 (OR13G1) gene (HR 1.14, 95% CI 1.01-1.28, P = 0.03), the rs11881940 polymorphism in the heterogeneous nuclear ribonucleoprotein U-like 1 (HNRPUL1) gene (HR 1.27, 95% CI 1.07-1.51, P = 0.007), the rs3746731 polymorphism in the complement component 1 q subcomponent receptor 1 (CD93) gene (HR 1.26, 95% CI 1.06-1.49, P = 0.01), and the rs10757274 polymorphism near the cyclin-dependent kinase N2A and N2B (CDKN2A and CDKN2B) genes (HR 1.39, 95% CI 1.15-1.69, P < 0.001). CONCLUSION: We confirmed previously found associations between four polymorphisms and CHD, but refuted associations for six other polymorphisms in our large FH population. These findings stress the importance of replication before genetic information can be implemented in the prediction of CHD.

Low serum HDL-cholesterol (HDL-C) is a major risk factor for coronary artery disease. We performed targeted genotyping of a 12.4 Mb linked region on 16q to test for association with low HDL-C by using a regional-tag SNP strategy. We identified one SNP, rs2548861, in the WW-domain-containing oxidoreductase (WWOX) gene with region-wide significance for low HDL-C in dyslipidemic families of Mexican and European descent and in low-HDL-C cases and controls of European descent (p = 6.9 x 10(-7)). We extended our investigation to the population level by using two independent unascertained population-based Finnish cohorts, the cross-sectional METSIM cohort of 4,463 males and the prospective Young Finns cohort of 2,265 subjects. The combined analysis provided p = 4 x 10(-4) to 2 x 10(-5). Importantly, in the prospective cohort, we observed a significant longitudinal association of rs2548861 with HDL-C levels obtained at four different time points over 21 years (p = 0.003), and the T risk allele explained 1.5% of the variance in HDL-C levels. The rs2548861 resides in a highly conserved region in intron 8 of WWOX. Results from our in vitro reporter assay and electrophoretic mobility-shift assay demonstrate that this region functions as a cis-regulatory element whose associated rs2548861 SNP has a specific allelic effect and that the region forms an allele-specific DNA-nuclear-factor complex. In conclusion, analyses of 9,798 subjects show significant association between HDL-C and a WWOX variant with an allele-specific cis-regulatory function.

Apolipoprotein A-V (apoA-V) is an important regulator of plasma levels of triglyceride (TG) in mice. In humans, APOA5 genetic variation is associated with TG in several populations. In this study, we determined the effects of the p.185Gly>Cys (c.553G>T; rs2075291) polymorphism on plasma TG levels in subjects of Chinese ancestry living in the United States and in a group of non-Chinese Asian ancestry. The frequency of the less common cysteine allele was 4-fold higher (15.1% vs. 3.7%) in Chinese high-TG subjects compared with a low-TG group (Chi-square = 20.2; P < 0.0001), corresponding with a 4.45 times higher risk of hypertriglyceridemia (95% confidence interval, 2.18-9.07; P < 0.001). These results were replicated in the non-Chinese Asians. Heterozygosity was associated, in the high-TG group, with a doubling of TG (P < 0.001), mainly VLDL TG (P = 0.014). All eleven TT homozygotes had severe hypertriglyceridemia, with mean TG of 2,292 +/- 447 mg/dl. Compared with controls, carriers of the T allele had lower postheparin lipoprotein lipase activity but not hepatic lipase activity. In Asian populations, this common polymorphism can lead to profound adverse effects on lipoprotein profiles, with homozygosity accounting for a significant number of cases of severe hypertriglyceridemia. This specific apoA-V variant has a pronounced effect on TG metabolism, the mechanism of which remains to be elucidated.

BACKGROUND: Previous studies suggest that beta-adrenergic receptor (betaAR) single nucleotide polymorphisms (SNPs) are associated with out-of-hospital sudden cardiac death (SCD) and overall mortality, but did not specifically examine risk of ventricular arrhythmias (VA). OBJECTIVE: This study examined the effects of functional SNPs of beta1AR and beta2AR on the risk of VA and SCD in patients with coronary artery disease (CAD). METHODS: beta1AR (Ser49Gly, Arg389Gly) and beta2AR (Gly16Arg, Gln27Glu) SNPs were genotyped in a case-control study comparing 107 patients with CAD and aborted SCD due to VA with 287 CAD control subjects and 101 healthy control subjects. These variants were also examined in the Heart and Estrogen Replacement Study (HERS) cohort of women with CAD followed for SCD (n = 66) and nonfatal VA (NFVA) (n = 33) over 6.8 years. RESULTS: In the case-control study, no statistically significant association was observed for the odds of SCD with any of the SNPs or haplotypes tested. Similarly, HERS revealed null effects for these SNPs and haplotypes in relation to risk of SCD, SCD + NFVA, and all-cause mortality. Point estimates and confidence intervals for risk of SCD associated with beta2AR27 were similar in both populations (Glu27 carriers vs Gln27 homozygotes: adjusted odds ratio 1.23 [95% confidence interval 0.75 to 2.03, P = .41] in the case-control study, and adjusted relative risk (RR) 1.18 [95% confidence interval 0.69 to 2.00, P = .55] in HERS). These null findings trend in the opposite direction and differ from previous published estimates (P = .01 and .07, respectively). CONCLUSION: We did not find an increase in risk of SCD associated with any of these common betaAR polymorphisms.

Fatigue is the most common and distressing symptom reported by patients undergoing radiation therapy (RT). However, limited information is available on the trajectories of fatigue, as well as on the predictors of interindividual variability in fatigue. This study evaluated a sample of patients who underwent RT for prostate cancer to examine how ratings of evening and morning fatigue changed from the time of simulation to four months after the completion of RT and to investigate whether specific patient, disease, and symptom characteristics predicted the initial levels of fatigue and/or characteristics of the trajectories of evening and morning fatigue. Using hierarchical linear modeling, a large amount of interindividual variability was demonstrated in the trajectories of evening and morning fatigue. Findings from this study suggest that younger men with a higher level of fatigue at the time of the simulation visit were at increased risk for higher levels of evening and morning fatigue over the course of RT. In addition, the level of morning fatigue over the course of RT appears to depend on the patient's level of depression at the time of the simulation visit. In future studies, the use of hierarchical linear modeling as an analytic tool will assist in the identification of patients who are most at risk for prolonged fatigue trajectories. This type of analysis may lead to the identification of subgroups of patients who are at higher risk for negative outcomes and who require different types of interventions for the fatigue associated with RT.

PURPOSE/OBJECTIVES: To apply the Hanahan and Weinberg conceptual framework for tumor development to the specific biomarkers observed or expressed in ovarian cancer. DATA SOURCES: Data-based publications, topical reviews, and book chapters. DATA SYNTHESIS: Articles specific to ovarian cancer were reviewed to examine whether the six rules from the Hanahan and Weinberg conceptual framework were applicable to biomarkers of ovarian cancer. This approach allows for the application of a general framework for the development of solid tumors to the development of ovarian cancer. CONCLUSIONS: The six rules for tumor cell development outlined in the Hanahan and Weinberg conceptual framework are applicable to biomarkers expressed or observed in patients with ovarian cancer. IMPLICATIONS FOR NURSING: Oncology nurses can enhance their clinical teaching by integrating this information into their practice. Nurses who conduct research on ovarian cancer can use this framework to guide the selection of biomarker(s) for these studies. Finally, nurse educators can use this framework when teaching students key concepts in the care of patients with cancer.

PURPOSE: The purpose of this pilot study was to examine arachidonate 5-lipoxygenase (ALOX5) and ALOX5-activating protein (ALOX5AP) gene variations in patients with and without acute coronary syndrome (ACS). METHODOLOGY: Four and six single nucleotide polymorphisms spanning the ALOX5 and ALOX5AP genes, respectively, were genotyped in 19 non-Hispanic Caucasian patients with ACS and 27 controls. RESULTS: Presence of the common allele of rs9508835 (ALOX5AP) and the minor allele of rs2029253 (ALOX5) were associated with ACS. After adjustment for age, being a carrier of the rs9508835 common allele was associated with an increased risk of ACS (odds ratio = 2.86). RELEVANCE FOR NURSING PRACTICE: Through the inhibition of the ALOX5AP gene by downregulation of the leukotriene pathway, the risk of ACS may be decreased in individuals that carry susceptibility allele(s). Knowledge of the genetic basis of treatments that downregulate the leukotriene pathway may prove essential to the care of individuals with ACS.

PURPOSE: In a sample of family caregivers (FCs) of patients with prostate cancer who were to begin radiation therapy (RT), the purposes were to determine the prevalence and severity of depression, anxiety, pain, sleep disturbance, and fatigue; determine the relationships among these symptoms and between these symptoms and functional status and quality of life (QOL); evaluate for differences in functional status and QOL between FCs with low and high levels of these symptoms; and determine which factors predicted FCs' functional status and QOL. PATIENTS AND METHODS: FCs were recruited before patients initiated RT and completed self-report questionnaires that evaluated demographic characteristics, symptoms, functional status, and QOL. RESULTS: Sixty female FCs participated in the study. On the basis of established cut point scores for each symptom questionnaire, 12.2% of the FCs had clinically meaningful levels of depression, 40.7% anxiety, 15.0% pain, 36.7% sleep disturbance, 33.3% morning fatigue, and 30.0% evening fatigue. FCs who were older and who had lower levels of state anxiety and higher levels of depression, morning fatigue, and pain reported significantly poorer functional status (R(2) = 38.7%). FCs who were younger, had more years of education, were working, and who had higher levels of depression, morning fatigue, sleep disturbance, and lower levels of evening fatigue reported significantly lower QOL scores (R(2) = 70.1%). CONCLUSION: A high percentage of FCs experienced clinically meaningful levels of a variety of symptoms. These symptoms have a negative impact on the FCs' functional status and QOL.

The aims of this replication study were to determine if subgroups of oncology outpatients receiving active treatment could be identified based on their experience with the symptoms of fatigue, sleep disturbance, depression, and pain; whether patients in these subgroups differed on selected demographic, disease, and treatment characteristics; and if patients in these subgroups differed on functional status and quality of life (QOL). A convenience sample of 228 oncology outpatients was recruited from seven outpatient settings in Israel. Patients completed a demographic questionnaire, a Karnofsky Performance Status score, the Multidimensional Quality of Life Scale-Cancer, the Lee Fatigue Scale, the General Sleep Disturbance Scale, the Center for Epidemiological Studies-Depression Scale, and a numeric rating scale of worst pain intensity. Cluster analysis was used to identify the patient subgroups based on their symptom experience. Four relatively distinct patient subgroups were identified based on their experiences with the above symptoms (i.e., low levels of all four symptoms (32.9%), low levels of pain and high levels of fatigue (18.0%), high levels of pain and moderate levels of fatigue (42.5%), and high levels of all four symptoms (6.6%). No differences were found among the four subgroups on any demographic, disease, or treatment characteristics. The subgroup of patients who reported high levels of all four symptoms reported the worst functional status and poorest QOL. In conclusion, differences in the symptom experience of oncology outpatients suggest that patients may harbor different phenotypic characteristics (e.g., environmental or physiologic) or genetic determinants for experiencing symptoms that are independent of demographic, disease, and treatment characteristics.