Un pilote avec groupe témoin : effets de la méditation de pleine conscience sur la qualité de vie, le sommeil et l’humeur chez des adolescents atteints de cancer

L’annonce d’un diagnostic de cancer provoque souvent une forte réaction émotionnelle et un stress important tant chez les adultes que chez les adolescents et leurs parents. Certains d’entre eux cherchant à soulager cette détresse se tournent vers des méthodes alternatives positives de gestion de stress, dans le but d’atténuer les effets psychologiques indésirables du cancer. Les thérapies ciblant à la fois le corps et l’esprit gagnent en popularité dans ces populations. Une avenue prometteuse est la méditation de pleine conscience (MPC), inspirée de la philosophie bouddhiste et adaptée dans le cadre d’interventions thérapeutiques pour améliorer la qualité de vie des patients souffrant de maladies chroniques. À ce jour, des études dans le domaine de la santé ont suggéré que la MPC pouvait avoir des effets bénéfiques sur les symptômes et la gestion de plusieurs maladies chroniques dont le cancer, faisant d’elle une avenue thérapeutique intéressante dans le traitement des effets psychologiques indésirables liés à ces maladies. La recherche émergente en pédiatrie suggère des effets comparables chez les enfants et adolescents. L’objectif de la présente thèse a été de développer un essai clinique randomisé visant à évaluer les effets de la MPC sur la qualité de vie, le sommeil et l’humeur chez des adolescents atteints de cancer, en documentant les étapes d’implantation du projet, les embuches qui ont été rencontrées durant son implantation et les résultats obtenus. La thèse est présentée sous la forme de deux articles scientifiques. Le premier article présente la méthodologie qui avait été planifiée pour ce projet mais qui n’a pu être réalisée en raison d’embuches rencontrées dans la complétion de ce pilote. Ainsi, les étapes préliminaires du développement de ce projet de recherche, en accordant une place prépondérante au manuel d’intervention rédigé à cette fin. La mise en place et la structure de ce projet, nommément le devis méthodologique employé, la taille d’échantillon visée, les méthodes de recrutement mises en place et les stratégies de randomisation prévues, sont décrites en détail dans cet article. Pour les fins de ce projet, un manuel d’intervention de MPC a été rédigé. L’intervention en MPC, menée par deux instructeurs formés en MPC, s’est échelonnée sur une durée de huit semaines, à raison d’une séance d’une heure trente par semaine. Une description détaillée de chaque séance est incluse dans cet article, dans un but de dissémination du protocole de recherche. Des analyses intragroupe serviront à évaluer l’impact de l’intervention en méditation de pleine conscience sur la qualité de vie, le sommeil et l’humeur pré-à-post intervention et au suivi à six mois. Des analyses intergroupes prévues sont décrites afin de comparer les effets de l’intervention entre les participants du groupe contrôle et du groupe expérimental. Les limites potentielles de ce projet, notamment la participation volontaire, le risque d’attrition et la petite taille d’échantillon sont décrites en détail dans cet article. Le deuxième article présente, dans un premier temps, le déroulement du projet de recherche, en mettant en lumière les embuches rencontrées dans son implantation. Ainsi, les leçons à tirer de l’implantation d’un tel essai clinique en milieu hospitalier au Québec sont décrites selon trois axes : 1) les défis liés au recrutement et à la rétention des participants; 2) l’acceptabilité et la compréhensibilité de l’intervention en pleine conscience; et 3) le moment où l’intervention s’est déroulée (timing) et l’impact sur l’engagement requis des participants dans le projet. Durant une période de recrutement de neuf mois, 481 participants potentiels ont été filtrés. 418 (86,9 %) d’entre eux ont été exclus. 63 participants potentiels, vivant à moins d’une heure de Montréal, ont été approchés pour prendre part à ce projet. De ce nombre, seulement 7 participants (1,4%) ont accepté de participer aux rencontres de MPC et de compléter les mesures pré-post intervention. Un bassin d’éligibilité réduit, ainsi que des taux de refus élevés et des conflits d’horaire avec les activités scolaires ont eu un impact considérable sur la taille d’échantillon de ce projet et sur l’absentéisme des participants. Malgré l’intérêt manifeste des équipes médicales pour la recherche psychosociale, les ressources requises pour mener à terme de tels essais cliniques sont trop souvent sous- estimées. Les stratégies de recrutement et de rétention des participants méritent une attention spéciale des chercheurs dans ce domaine. Dans un deuxième temps, le deuxième article de cette thèse a pour objectif de présenter les résultats de l’intervention en MPC chez des jeunes ayant le cancer, en examinant spécifiquement l’impact de l’intervention sur la qualité de vie, le sommeil et l’humeur des jeunes pré-post intervention et lors du suivi à six mois. Faisant écho aux embuches décrites préalablement décrites, les analyses statistiques n’ont permis de déceler aucun effet statistiquement significatif de notre intervention. Aucune différence significative n’est notée entre les participants du groupe expérimental et les participants du groupe contrôle. Les difficultés rencontrées dans de la complétion des devoirs et de la pratique de techniques de méditation entre les séances, décrites en détail cet article, expliquent en partie ces résultats. Globalement, le contexte développemental spécifique à l’adolescence, ayant possiblement eu un impact sur l’adhérence des participants à la thérapie proposée et à leur motivation à prendre part aux rencontres, les scores sous-cliniques lors du premier temps de mesure, l’impact du soutien social inhérent au contexte de thérapie de groupe, ainsi que les caractéristiques personnelles des thérapeutes, pourraient avoir influencé les résultats de ce pilote. Les résultats de ce projet pilote nous laissent croire que la prudence est de mise dans la généralisation des bienfaits et de l’efficacité de la pleine conscience observés chez les adultes atteints de cancer dans son application aux adolescents en oncologie. En conclusion, la présente thèse contribue à enrichir la recherche dans le domaine de la MPC chez les jeunes en questionnant néanmoins la pertinence d’une telle intervention auprès d’une population d’adolescents souffrant de cancer. Ainsi, il convient d’analyser les résultats obtenus en tenant compte des limites méthodologiques de ce projet et de poser un regard critique sur la faisabilité et la reproductibilité d’un projet d’une telle envergure auprès d’une même population. Les leçons tirées de l’implantation d’un tel projet en milieu hospitalier pédiatrique se sont avérées d’une importance centrale dans sa complétion et feront partie intégrante de toute tentative de réplication. D’autres essais cliniques de cette nature seront inévitablement requis afin de statuer sur l’efficacité de la MPC chez des adolescents atteints cancer et sur la faisabilité de l’implantation de cette méthode d’intervention auprès d’une population pédiatrique hospitalière.

Primary Prevention and Screening Strategies for Colorectal Cancer: Which Strategy Should Take?

Objective: To explore and define the utility of different strategies for primary prevention (ASA, diet, physical activity) and strategies of screening test (FOBT, sigmoidoscopy, colonoscopy, etc.) for colorectal cancer. Data source: Databases consulted were MEDLINE (1966 to 2006), DARE (1980 to 2006), Cochrane Central Register of Controlled Trials, Cochrane Collaboration’s Registry of Clinical Trials, Cochrane Database of Systematic Reviews and LILACS. Study selection: Studies such clinical trial, cohort and case-control studies of the effectiveness of tests for screening and primary prevention adenoma and colorectal cancer were identified by two reviewers. Data Extraction: The extraction of data and its evaluation is done in most of the process so paired. Limitations: Not strictly complies with the methodology of a systematic review and therefore reproducibility is questionable, the conclusions of this study should be extrapolated with caution. Conclusions: The major strategy of screening on the effectiveness of early detection of premalignant lesions or cancer is colonoscopy every 5 years, however it is necessary to evaluate this measure cost-effectiveness studies. For primary prevention, aspirin and cyclooxygenase-2 inhibitors reduce the incidence of colorectal adenomas. Aspirin can reduce colorectal cancer incidence. However, these medications may be associated with a significant risk of cardiovascular events and gastrointestinal bleeding. The balance between risks and benefits must be evaluated in future studies.

Identification of protein expression signatures in gastric carcinomas using clustering analysis

Background and Aim: The identification of gastric carcinomas (GC) has traditionally been based on histomorphology. Recently, DNA microarrays have successfully been used to identify tumors through clustering of the expression profiles. Random forest clustering is widely used for tissue microarrays and other immunohistochemical data, because it handles highly-skewed tumor marker expressions well, and weighs the contribution of each marker according to its relatedness with other tumor markers. In the present study, we e identified biologically- and clinically-meaningful groups of GC by hierarchical clustering analysis of immunohistochemical protein expression. Methods: We selected 28 proteins (p16, p27, p21, cyclin D1, cyclin A, cyclin B1, pRb, p53, c-met, c-erbB-2, vascular endothelial growth factor, transforming growth factor [TGF]-beta I, TGF-beta II, MutS homolog-2, bcl-2, bax, bak, bcl-x, adenomatous polyposis coli, clathrin, E-cadherin, beta-catenin, mucin (MUC) 1, MUC2, MUC5AC, MUC6, matrix metalloproteinase [ MMP]-2, and MMP-9) to be investigated by immunohistochemistry in 482 GC. The analyses of the data were done using a random forest-clustering method. Results: Proteins related to cell cycle, growth factor, cell motility, cell adhesion, apoptosis, and matrix remodeling were highly expressed in GC. We identified protein expressions associated with poor survival in diffuse-type GC. Conclusions: Based on the expression analysis of 28 proteins, we identified two groups of GC that could not be explained by any clinicopathological variables, and a subgroup of long-surviving diffuse-type GC patients with a distinct molecular profile. These results provide not only a new molecular basis for understanding the biological properties of GC, but also better prediction of survival than the classic pathological grouping.

Expression analysis and in silico characterization of intronic long noncoding RNAs in renal cell carcinoma: emerging functional associations

Abstract Background Intronic and intergenic long noncoding RNAs (lncRNAs) are emerging gene expression regulators. The molecular pathogenesis of renal cell carcinoma (RCC) is still poorly understood, and in particular, limited studies are available for intronic lncRNAs expressed in RCC Methods Microarray experiments were performed with custom-designed arrays enriched with probes for lncRNAs mapping to intronic genomic regions. Samples from 18 primary RCC tumors and 11 nontumor adjacent matched tissues were analyzed. Meta-analyses were performed with microarray expression data from three additional human tissues (normal liver, prostate tumor and kidney nontumor samples), and with large-scale public data for epigenetic regulatory marks and for evolutionarily conserved sequences. Results A signature of 29 intronic lncRNAs differentially expressed between RCC and nontumor samples was obtained (false discovery rate (FDR) <5%). A signature of 26 intronic lncRNAs significantly correlated with the RCC five-year patient survival outcome was identified (FDR <5%, p-value ≤0.01). We identified 4303 intronic antisense lncRNAs expressed in RCC, of which 22% were significantly (p <0.05) cis correlated with the expression of the mRNA in the same locus across RCC and three other human tissues. Gene Ontology (GO) analysis of those loci pointed to 'regulation of biological processes’ as the main enriched category. A module map analysis of the protein-coding genes significantly (p <0.05) trans correlated with the 20% most abundant lncRNAs, identified 51 enriched GO terms (p <0.05). We determined that 60% of the expressed lncRNAs are evolutionarily conserved. At the genomic loci containing the intronic RCC-expressed lncRNAs, a strong association (p <0.001) was found between their transcription start sites and genomic marks such as CpG islands, RNA Pol II binding and histones methylation and acetylation. Conclusion Intronic antisense lncRNAs are widely expressed in RCC tumors. Some of them are significantly altered in RCC in comparison with nontumor samples. The majority of these lncRNAs is evolutionarily conserved and possibly modulated by epigenetic modifications. Our data suggest that these RCC lncRNAs may contribute to the complex network of regulatory RNAs playing a role in renal cell malignant transformation.

Older Breast Cancer Survivors: Factors Associated with Self-reported Symptoms of Persistent Lymphedema Over 7 years of Follow-up

Lymphedema of the arm is a common complication of breast cancer with symptoms that can persist over long periods of time. For older women (over 50% of breast cancer cases) it means living with the potential for long-term complications of persistent lymphedema in conjunction with the common diseases and disabilities of aging over survivorship. We identified women > or =65 years diagnosed with primary stage I-IIIA breast cancer. Data were collected over 7 years of follow-up from consenting patients' medical records and telephone interviews. Data collected included self-reported symptoms of persistent lymphedema, breast cancer characteristics, and selected sociodemographic and health-related characteristics. The overall prevalence of symptoms of persistent lymphedema was 36% over 7 years of follow-up. Having stage II or III (OR = 1.77, 95% CI: 1.07-2.93) breast cancer and having a BMI >30 (OR = 3.04, 95% CI: 1.69-5.45) were statistically significantly predictive of symptoms of persistent lymphedema. Women > or =80 years were less likely to report symptoms of persistent lymphedema when compared to younger women (OR = 0.44, 95% CI: 0.18-0.95). Women with symptoms of persistent lymphedema consistently reported worse general mental health and physical function. Symptoms of persistent lymphedema were common in this population of older breast cancer survivors and had a noticeable effect on both physical function and general mental health. Our findings provide evidence of the impact of symptoms of persistent lymphedema on the quality of survivorship of older women. Clinical and research efforts focused on risk factors for symptoms of persistent lymphedema in older breast cancer survivors may lead to preventative and therapeutic measures that help maintain their health and well-being over increasing periods of survivorship.

Factors Associated with Early Versus Late Development of Breast and Ovarian Cancer in BRCA1 and BRCA2 Positive Women

Hereditary breast and ovarian cancer (HBOC) is caused by a mutation in the BRCA1 or BRCA2 genes. Women with a BRCA1/2 mutation are at increased risks for breast and ovarian cancer and often develop cancer at an earlier age than the general population. However, some women with a BRCA1/2 mutation do not develop breast or ovarian cancer under the age of 50 years. There have been no specific studies on BRCA positive women with no cancer prior to age 50, therefore this study sought to investigate factors within these women with no cancer under age 50 with respect to reproductive risk factors, BMI, tumor pathology, screening history, risk-reducing surgeries, and family history. 241 women were diagnosed with cancer prior to age 50, 92 with cancer at age 50 or older, and 20 women were over age 50 with no cancer. Data were stratified based on BRCA1 and BRCA2 mutation status. Within the cohorts we investigated differences between women who developed cancer prior to age 50 and those who developed cancer at age 50 or older. We also investigated the differences between women who developed cancer at age 50 or older and those who were age 50 or older with no cancer. Of the 92 women with a BRCA1/2 mutation who developed cancer at age 50 or older, 46 developed ovarian cancer first, 45 developed breast cancer, and one had breast and ovarian cancer diagnosed synchronously. BRCA2 carriers diagnosed age 50 or older were more likely to have ER/PR negative breast tumors when compared to BRCA2 carriers who were diagnosed before age 50. This is consistent with one other study that has been performed. Ashkenazi Jewish women with a BRCA1 mutation were more likely to be diagnosed age 50 or older than other ethnicities. Hispanic women with a BRCA2 mutation were more likely to be diagnosed prior to age 50 when compared to other ethnicities. No differences in reproductive factors or BMI were observed. Further characterization of BRCA positive women with no cancer prior to age 50 may aid in finding factors important in the development of breast or ovarian cancer.

Hazardous air pollutants and childhood lymphohematopoietic cancer in Southeast Texas, 1995--2004

Southeast Texas, including Houston, has a large presence of industrial facilities and has been documented to have poorer air quality and significantly higher cancer rates than the remainder of Texas. Given citizens’ concerns in this 4th largest city in the U.S., Mayor Bill White recently partnered with the UT School of Public Health to determine methods to evaluate the health risks of hazardous air pollutants (HAPs). Sexton et al. (2007) published a report that strongly encouraged analytic studies linking these pollutants with health outcomes. In response, we set out to complete the following aims: 1. determine the optimal exposure assessment strategy to assess the association between childhood cancer rates and increased ambient levels of benzene and 1,3-butadiene (in an ecologic setting) and 2. evaluate whether census tracts with the highest levels of benzene or 1,3-butadiene have higher incidence of childhood lymphohematopoietic cancer compared with census tracts with the lowest levels of benzene or 1,3-butadiene, using Poisson regression. The first aim was achieved by evaluating the usefulness of four data sources: geographic information systems (GIS) to identify proximity to point sources of industrial air pollution, industrial emission data from the U.S. EPA’s Toxic Release Inventory (TRI), routine monitoring data from the U.S. EPA Air Quality System (AQS) from 1999-2000 and modeled ambient air levels from the U.S. EPA’s 1999 National Air Toxic Assessment Project (NATA) ASPEN model. Further, once these four data sources were evaluated, we narrowed them down to two: the routine monitoring data from the AQS for the years 1998-2000 and the 1999 U.S. EPA NATA ASPEN modeled data. We applied kriging (spatial interpolation) methodology to the monitoring data and compared the kriged values to the ASPEN modeled data. Our results indicated poor agreement between the two methods. Relative to the U.S. EPA ASPEN modeled estimates, relying on kriging to classify census tracts into exposure groups would have caused a great deal of misclassification. To address the second aim, we additionally obtained childhood lymphohematopoietic cancer data for 1995-2004 from the Texas Cancer Registry. The U.S. EPA ASPEN modeled data were used to estimate ambient levels of benzene and 1,3-butadiene in separate Poisson regression analyses. All data were analyzed at the census tract level. We found that census tracts with the highest benzene levels had elevated rates of all leukemia (rate ratio (RR) = 1.37; 95% confidence interval (CI), 1.05-1.78). Among census tracts with the highest 1,3-butadiene levels, we observed RRs of 1.40 (95% CI, 1.07-1.81) for all leukemia. We detected no associations between benzene or 1,3-butadiene levels and childhood lymphoma incidence. This study is the first to examine this association in Harris and surrounding counties in Texas and is among the first to correlate monitored levels of HAPs with childhood lymphohematopoietic cancer incidence, evaluating several analytic methods in an effort to determine the most appropriate approach to test this association. Despite recognized weakness of ecologic analyses, our analysis suggests an association between childhood leukemia and hazardous air pollution.^

DIETARY RELATIONSHIPS TO FATAL BREAST CANCER AMONG SEVENTH-DAY ADVENTISTS

Laboratory experiments in animals, correlational and migrant studies in humans suggest a role for diet in the etiology of breast cancer. Data gathered from individuals via case-control studies are less consistent. Seventh-day Adventist women experience lower mortality from breast cancer than comparable U.S. populations and this decrease is thought to be, at least in part, related to dietary practices (half are vegetarian). In 1960, 25,000 California Seventh-day Adventists completed a questionnaire which included a 21 item food frequency section. Cancer mortality in this population was monitored between 1960 and 1980 and the relationship of high fat food intake and fatal breast cancer was evaluated. Although established risk factors for breast cancer were observed in this population (e.g. age at menarche, age at first pregnancy, age at menopause and obesity) consumption of high fat foods were not observed to exert a strong influence on fatal breast cancer risk. Odds ratios (O.R.) for fatal breast cancer among non-vegetarians was 1.2. Increasing meat consumption bore little relation to risk; O.R. = 1.0, 1.2, 1.1 for consumption categories of none/occasional, 1-3 days/week and 4+ days/week respectively. Nor did the consumption of other high fat foods of animal origin (e.g. butter, cheese, milk, eggs) show any relationship to risk. These results remained unchanged after simultaneously controlling for the effect of other, potentially confounding variables (menstrual characteristics, obesity) via logistic regression analysis. ^

Bayesian and survival model for tumor relapse status and disease-specific survival, with applications to breast cancer

Breast cancer is the most common non-skin cancer and the second leading cause of cancer-related death in women in the United States. Studies on ipsilateral breast tumor relapse (IBTR) status and disease-specific survival will help guide clinic treatment and predict patient prognosis.^ After breast conservation therapy, patients with breast cancer may experience breast tumor relapse. This relapse is classified into two distinct types: true local recurrence (TR) and new ipsilateral primary tumor (NP). However, the methods used to classify the relapse types are imperfect and are prone to misclassification. In addition, some observed survival data (e.g., time to relapse and time from relapse to death)are strongly correlated with relapse types. The first part of this dissertation presents a Bayesian approach to (1) modeling the potentially misclassified relapse status and the correlated survival information, (2) estimating the sensitivity and specificity of the diagnostic methods, and (3) quantify the covariate effects on event probabilities. A shared frailty was used to account for the within-subject correlation between survival times. The inference was conducted using a Bayesian framework via Markov Chain Monte Carlo simulation implemented in softwareWinBUGS. Simulation was used to validate the Bayesian method and assess its frequentist properties. The new model has two important innovations: (1) it utilizes the additional survival times correlated with the relapse status to improve the parameter estimation, and (2) it provides tools to address the correlation between the two diagnostic methods conditional to the true relapse types.^ Prediction of patients at highest risk for IBTR after local excision of ductal carcinoma in situ (DCIS) remains a clinical concern. The goals of the second part of this dissertation were to evaluate a published nomogram from Memorial Sloan-Kettering Cancer Center, to determine the risk of IBTR in patients with DCIS treated with local excision, and to determine whether there is a subset of patients at low risk of IBTR. Patients who had undergone local excision from 1990 through 2007 at MD Anderson Cancer Center with a final diagnosis of DCIS (n=794) were included in this part. Clinicopathologic factors and the performance of the Memorial Sloan-Kettering Cancer Center nomogram for prediction of IBTR were assessed for 734 patients with complete data. Nomogram for prediction of 5- and 10-year IBTR probabilities were found to demonstrate imperfect calibration and discrimination, with an area under the receiver operating characteristic curve of .63 and a concordance index of .63. In conclusion, predictive models for IBTR in DCIS patients treated with local excision are imperfect. Our current ability to accurately predict recurrence based on clinical parameters is limited.^ The American Joint Committee on Cancer (AJCC) staging of breast cancer is widely used to determine prognosis, yet survival within each AJCC stage shows wide variation and remains unpredictable. For the third part of this dissertation, biologic markers were hypothesized to be responsible for some of this variation, and the addition of biologic markers to current AJCC staging were examined for possibly provide improved prognostication. The initial cohort included patients treated with surgery as first intervention at MDACC from 1997 to 2006. Cox proportional hazards models were used to create prognostic scoring systems. AJCC pathologic staging parameters and biologic tumor markers were investigated to devise the scoring systems. Surveillance Epidemiology and End Results (SEER) data was used as the external cohort to validate the scoring systems. Binary indicators for pathologic stage (PS), estrogen receptor status (E), and tumor grade (G) were summed to create PS+EG scoring systems devised to predict 5-year patient outcomes. These scoring systems facilitated separation of the study population into more refined subgroups than the current AJCC staging system. The ability of the PS+EG score to stratify outcomes was confirmed in both internal and external validation cohorts. The current study proposes and validates a new staging system by incorporating tumor grade and ER status into current AJCC staging. We recommend that biologic markers be incorporating into revised versions of the AJCC staging system for patients receiving surgery as the first intervention.^ Chapter 1 focuses on developing a Bayesian method to solve misclassified relapse status and application to breast cancer data. Chapter 2 focuses on evaluation of a breast cancer nomogram for predicting risk of IBTR in patients with DCIS after local excision gives the statement of the problem in the clinical research. Chapter 3 focuses on validation of a novel staging system for disease-specific survival in patients with breast cancer treated with surgery as the first intervention. ^

EVIDENCE OF HUMAN ENDOGENOUS RETROVIRUS K INVOLVEMENT IN HUMAN CANCER

Many lines of clinical and experimental evidence indicate a viral role in carcinogenesis (1-6). Our access to patient plasma, serum, and tissue samples from invasive breast cancer (N=19), ductal carcinoma in situ (N=13), malignant ovarian cancer (N=12), and benign ovarian tumors (N=9), via IRB-approved and informed consent protocols through M.D. Anderson Cancer Center, as well as normal donor plasmas purchased from Gulf Coast Regional Blood Center (N=6), has allowed us to survey primary patient blood and tissue samples, healthy donor blood from the general population, as well as commercially available human cell lines for the presence of human endogenous retrovirus K (HERV-K) Env viral RNA (vRNA), protein, and viral particles. We hypothesize that HERV-K proteins are tumor-associated antigens and as such can be profiled and targeted in patients for diagnostic and therapeutic purposes. To test this hypothesis, we employed isopycnic ultracentrifugation, a microplate-based reverse transcriptase enzyme activity assay, reverse transcription – polymerase chain reaction (RT-PCR), cDNA sequencing, SDS-PAGE and western blotting, immunofluorescent staining, confocal microscopy, and transmission electron microscopy to evaluate v HERV-K activation in cancer. Data from large numbers of patients tested by reverse transcriptase activity assay were analyzed statistically by t-test to determine the potential use of this assay as a diagnostic tool for cancer. Significant reverse transcriptase enzyme activity was detected in 75% of ovarian cancer patients, 53.8% of ductal carcinoma in situ patient, and 42.1% of invasive breast cancer patient samples. Only 11.1% of benign ovarian patient and 16.7% of normal donor samples tested positive. HERV-K Env vRNA, or Env SU were detected in the majority of cancer types screened, as demonstrated by the results shown herein, and were largely absent in normal controls. These findings support our hypothesis that the presence of HERV-K in patient blood circulation is an indicator of cancer or pre-malignancy in vivo, that the presence of HERV-K Env on tumor cell surfaces is indicative of malignant phenotype, and that HERV-K Env is a tumor-associated antigen useful not only as a diagnostic screening tool to predict patient disease status, but also as an exploitable therapeutic target for various novel antibody-based immunotherapies.

Shifting the focus: Addressing breast cancer disparities at the health care organization level

The purpose of this study was to understand the scope of breast cancer disparities within the Texas Medical Center. The goal was to increase the awareness of breast cancer disparities at the health care organization level, and to foster the development of organizational interventions to reduce breast cancer disparities. The study seeks to answer the following questions: 1. Are hospitals in the Texas Medical Center implementing interventions to reduce breast cancer disparities? 2. What are their interventions for reducing the effects of non clinical factors on breast cancer treatment disparities? 3. What are their measures for monitoring, continuously improving, and evaluating the success of their interventions? ^ This research project was designed as a mixed methods case study. Quantitative breast cancer data for the years 2000-2009 was obtained from the Texas Cancer Registry (TCR). Qualitative data collection and analysis was done by conducting a total of 20 semi-structured interviews of administrators, physicians and nurses at five hospitals (A, B, C, D and E) in the Texas Medical Center (TMC). For quantitative analysis, the study was limited to early stage breast cancer patients: local and regional. The dependent variable was receipt of standard treatment: Surgery (Yes/No), BCS vs Mastectomy, Chemotherapy (Yes/No) and Radiation after BCS (Yes/No). The main independent variable was race: non-Hispanic White (NHW) , non-Hispanic Black (NHB), and Hispanic. Other covariates included age at diagnosis, diagnosis date, percent poverty, grade, stage, and regional nodes. Multivariate logistic regression was used to test the adjusted association between receipt of standard care and race. Qualitative data was analyzed with the Atlas.ti7 software (ATLAS.ti GmbH, Berlin). ^ Though there were significant differences by race for all dependent variables when the data was analyzed as a single group of all hospitals; at the level of the individual hospitals the results were not consistent by race/ethnicity across all dependent variables for hospitals A, B, and E. There were no racial differences in adjusted analysis for receipt of chemotherapy for the individual hospitals of interest in this study. For hospitals C and D, no racial disparities in treatment was observed in adjusted multivariable analysis. All organizations in this study were aware of the body of research which shows that there are disparities in breast cancer outcomes for patient population groups. However, qualitative data analysis found that there were differences in interest among hospitals in addressing breast cancer disparities in their patient population groups. Some organizations were actively implementing directed measures to reduce the breast cancer disparity gap in outcomes for patients, and others were not. Despite the differences in levels of interest, quantitative data analysis showed that organizations in the Texas Medical Center were making progress in reducing the burden of breast cancer disparities in the patient populations being served.^

Microarray analysis of autoimmune diseases by machine learning procedures

—Microarray-based global gene expression profiling, with the use of sophisticated statistical algorithms is providing new insights into the pathogenesis of autoimmune diseases. We have applied a novel statistical technique for gene selection based on machine learning approaches to analyze microarray expression data gathered from patients with systemic lupus erythematosus (SLE) and primary antiphospholipid syndrome (PAPS), two autoimmune diseases of unknown genetic origin that share many common features. The methodology included a combination of three data discretization policies, a consensus gene selection method, and a multivariate correlation measurement. A set of 150 genes was found to discriminate SLE and PAPS patients from healthy individuals. Statistical validations demonstrate the relevance of this gene set from an univariate and multivariate perspective. Moreover, functional characterization of these genes identified an interferon-regulated gene signature, consistent with previous reports. It also revealed the existence of other regulatory pathways, including those regulated by PTEN, TNF, and BCL-2, which are altered in SLE and PAPS. Remarkably, a significant number of these genes carry E2F binding motifs in their promoters, projecting a role for E2F in the regulation of autoimmunity.

Importance of replication in microarray gene expression studies: Statistical methods and evidence from repetitive cDNA hybridizations

We present statistical methods for analyzing replicated cDNA microarray expression data and report the results of a controlled experiment. The study was conducted to investigate inherent variability in gene expression data and the extent to which replication in an experiment produces more consistent and reliable findings. We introduce a statistical model to describe the probability that mRNA is contained in the target sample tissue, converted to probe, and ultimately detected on the slide. We also introduce a method to analyze the combined data from all replicates. Of the 288 genes considered in this controlled experiment, 32 would be expected to produce strong hybridization signals because of the known presence of repetitive sequences within them. Results based on individual replicates, however, show that there are 55, 36, and 58 highly expressed genes in replicates 1, 2, and 3, respectively. On the other hand, an analysis by using the combined data from all 3 replicates reveals that only 2 of the 288 genes are incorrectly classified as expressed. Our experiment shows that any single microarray output is subject to substantial variability. By pooling data from replicates, we can provide a more reliable analysis of gene expression data. Therefore, we conclude that designing experiments with replications will greatly reduce misclassification rates. We recommend that at least three replicates be used in designing experiments by using cDNA microarrays, particularly when gene expression data from single specimens are being analyzed.

Normalized Gaussian Networks with Mixed Feature Data

With mixed feature data, problems are induced in modeling the gating network of normalized Gaussian (NG) networks as the assumption of multivariate Gaussian becomes invalid. In this paper, we propose an independence model to handle mixed feature data within the framework of NG networks. The method is illustrated using a real example of breast cancer data.

Fractal Analysis for Cancer Research: Case Study and Simulation of Fractals

2010 Mathematics Subject Classification: 65D18.