DNA-Reparatur-assoziierte genetische und epigenetische Faktoren für die Zweittumorentstehung nach Tumoren im Kindes- und Jugendalter

Die Ursachen der Zweittumorentwicklung bei Personen, die eine Krebserkrankung in der Kindheit überlebten, sind weitgehend unklar. Strahlenexposition oder Chemotherapie führen in normalen somatischen Zellen zu DNA-Schäden, welche bei fehlerhafter Reparatur eine Karzinogenese auslösen können. Es ist denkbar, dass genetische Unterschiede z. B. in den Signalwegen der Zellzykluskontrolle und der DNA-Reparatur nach therapieinduzierten DNA-Schäden eine entscheidende Rolle bei der Zweittumorentwicklung spielen. Im Rahmen dieser Arbeit wurden 20 Personen, die eine Krebserkrankung in der Kindheit überlebten und einen unabhängigen Zweittumor entwickelten, mit 20 gematchten Kontrollpersonen ohne Zweittumorentwicklung verglichen. Die primären Fibroblasten der Patienten wurden auf somatische, genetische und/oder epigenetische Unterschiede in DNA-Reparaturnetzwerken untersucht. Die biologisch relevantesten Ergebnisse lieferten Proteinuntersuchungen mittels Antikörper-Microarrays. Hierbei wurde eine konstitutiv erniedrigte Menge an RAD9A und einigen anderen DNA-Reparatur-Proteinen (BRCA1, DDIT3, MSH6, p53, RAD51) in den Zweittumorpatienten im Vergleich zu den Eintumorpatienten festgestellt. Nach einer DNA-Schädigung durch 1 Gray Bestrahlung erhöhte sich die RAD9A-Proteinmenge, wobei die Zweittumorpatienten eine geringere Induktion als die Eintumorpatienten zeigten. Bei der Quantifizierung der mRNA-Expression mittels RTq-PCR wurde ein niedrigerer RAD9A-mRNA-Level sowohl in den unbehandelten und als auch in den 1 Gray bestrahlten Zellen der Zweittumorpatienten festgestellt. SNP-Array und Methylierungsanalysen konnten keine Auffälligkeiten im RAD9A-Lokus nachweisen. Diese Ergebnisse unterstützen die Hypothese, dass Modulationen von RAD9A und anderen Zellzyklusarrest- und DNA-Reparaturproteinen zum Risiko einer Zweittumorentwicklung in Kinderkrebspatienten beitragen. Bei einem diskordanten monozygoten Zwillingspaar wurde in ca. 20% der Zellen des Zweittumorzwillings eine Hypermethylierung des Tumorsuppressorgens BRCA1 festgestellt, die mit einer konstitutiv erniedrigten BRCA1-Proteinexpression einhergeht und einen möglichen Krebsrisikofaktor darstellt. Die partielle Deletion des Gens RSPO3, die wahrscheinlich als somatisches Zellmosaik beim Zweittumorzwilling vorliegt, korreliert mit einer niedrigeren RSPO3-mRNA-Expression und ist vermutlich auch mit einer erhöhten Krebsprädisposition assoziiert.

Radiation dose reduction in computer assisted navigation for functional endoscopic sinus surgery--cadaver head experiments and clinical implementation

Computed tomography based navigation for endoscopic sinus surgery is inflationary used despite of major public concern about iatrogenic radiation induced cancer risk. Studies on dose reduction for CAS-CT are almost nonexistent. We validate the use of radiation dose reduced CAS-CT for clinically applied surface registration.

Meta-analysis and dose-response metaregression: circulating insulin-like growth factor I (IGF-I) and mortality

Context: IGF-I plays a central role in metabolism and growth regulation. High IGF-I levels are associated with increased cancer risk and low IGF-I levels with increased risk for cardiovascular disease. Objective: Our objective was to determine the relationship between circulating IGF-I levels and mortality in the general population using random-effects meta-analysis and dose-response metaregression. Data Sources: We searched PubMed, EMBASE, Web of Science, and Cochrane Library from 1985 to September 2010 to identify relevant studies. Study Selection: Population-based cohort studies and (nested) case-control studies reporting on the relation between circulating IGF-I and mortality were assessed for eligibility. Data Extraction: Data extraction was performed by two investigators independently, using a standardized data extraction sheet. Data Synthesis: Twelve studies, with 14,906 participants, were included. Overall, risk of bias was limited. Mortality in subjects with low or high IGF-I levels was compared with mid-centile reference categories. All-cause mortality was increased in subjects with low as well as high IGF-I, with a hazard ratio (HR) of 1.27 (95% CI = 1.08–1.49) and HR of 1.18 (95% CI = 1.04–1.34), respectively. Dose-response metaregression showed a U-shaped relation of IGF-I and all-cause mortality (P = 0.003). The predicted HR for the increase in mortality comparing the 10th IGF-I with the 50th percentile was 1.56 (95% CI = 1.31–1.86); the predicted HR comparing the 90th with the 50th percentile was 1.29 (95% CI = 1.06–1.58). A U-shaped relationship was present for both cancer mortality and cardiovascular mortality. Conclusions: Both low and high IGF-I concentrations are associated with increased mortality in the general population.

Appendiceal mucocele in an elderly patient: how much surgery?

Appendiceal mucoceles are rare cystic lesions with an incidence of 0.3-0.7% of all appendectomies. They are divided into four subgroups according to their histology. Even though the symptoms may vary - depending on the level of complication - from right lower quadrant pain, signs of intussusception, gastrointestinal bleeding to an acute abdomen with sepsis, most mucoceles are asymptomatic and found incidentally. We present the case of a 70-year-old patient with an incidentally found appendiceal mucocele. He was seen at the hospital for backache. The CT scan showed a vertebral fracture and a 7-cm appendiceal mass. A preoperative colonoscopy displayed several synchronous adenomas in the transverse and left colon with high-grade dysplasia. In order to lower the cancer risk of this patient, we performed a subtotal colectomy. The appendiceal mass showed no histopathological evidence of malignancy and no sign of perforation. The follow-up was therefore limited to 2 months. In this case, appendectomy would have been sufficient to treat the mucocele alone. The synchronous high-grade dysplastic adenomas were detected in the preoperative colonoscopy and determined the therapeutic approach. Generally, in the presence of positive lymph nodes, a right colectomy is the treatment of choice. In the histological presence of mucinous peritoneal carcinomatosis, cytoreductive surgery with hyperthermic intraperitoneal chemotherapy is indicated. In conclusion, mucoceles of the appendix are detected with high sensitivity by CT scan. If there is no evidence of synchronous tumor preoperatively and no peritoneal spillage, invasion or positive sentinel lymph nodes during surgery, a mucocele is adequately treated by appendectomy.

Development of a Bayesian Joint Logistic Model to Better Study the Association between Haplotypes and Disease

In 2011, there will be an estimated 1,596,670 new cancer cases and 571,950 cancer-related deaths in the US. With the ever-increasing applications of cancer genetics in epidemiology, there is great potential to identify genetic risk factors that would help identify individuals with increased genetic susceptibility to cancer, which could be used to develop interventions or targeted therapies that could hopefully reduce cancer risk and mortality. In this dissertation, I propose to develop a new statistical method to evaluate the role of haplotypes in cancer susceptibility and development. This model will be flexible enough to handle not only haplotypes of any size, but also a variety of covariates. I will then apply this method to three cancer-related data sets (Hodgkin Disease, Glioma, and Lung Cancer). I hypothesize that there is substantial improvement in the estimation of association between haplotypes and disease, with the use of a Bayesian mathematical method to infer haplotypes that uses prior information from known genetics sources. Analysis based on haplotypes using information from publically available genetic sources generally show increased odds ratios and smaller p-values in both the Hodgkin, Glioma, and Lung data sets. For instance, the Bayesian Joint Logistic Model (BJLM) inferred haplotype TC had a substantially higher estimated effect size (OR=12.16, 95% CI = 2.47-90.1 vs. 9.24, 95% CI = 1.81-47.2) and more significant p-value (0.00044 vs. 0.008) for Hodgkin Disease compared to a traditional logistic regression approach. Also, the effect sizes of haplotypes modeled with recessive genetic effects were higher (and had more significant p-values) when analyzed with the BJLM. Full genetic models with haplotype information developed with the BJLM resulted in significantly higher discriminatory power and a significantly higher Net Reclassification Index compared to those developed with haplo.stats for lung cancer. Future analysis for this work could be to incorporate the 1000 Genomes project, which offers a larger selection of SNPs can be incorporated into the information from known genetic sources as well. Other future analysis include testing non-binary outcomes, like the levels of biomarkers that are present in lung cancer (NNK), and extending this analysis to full GWAS studies.

Die prophylaktische Mastektomie: unnötige Hysterie oder nötige Vorsorge.

The prophylactic (risk-reducing) mastectomy is a world-wide recognized method for specifically treating the increased breast cancer risk in patients showing a BRCA1 and/or BRCA2 mutation as well as other patient groups at increased breast cancer risk. This option should be offered to all patients having the pertinent risk profile. Breast reconstruction is an integral part of the risk-reducing mastectomy procedure and all possible methods of breast reconstruction, especially autologous tissue reconstruction should be offered to all patients having a medical indication and desiring this surgical treatment. These patients are best managed in certified Breast Care Centres where the different medical and surgical specialists can address interdisciplinary all aspects of genetic counselling, preoperative counselling, mastectomy and reconstructive techniques as well as the necessary postoperative surveillance.

Hepatocellular carcinoma and lifestyles.

The majority of hepatocellular carcinoma occurs over pre-existing chronic liver diseases that share cirrhosis as an endpoint. In the last decade, a strong association between lifestyle and hepatocellular carcinoma has become evident. Abundance of energy-rich food and sedentary lifestyles have caused metabolic conditions such as obesity and diabetes mellitus to become global epidemics. Obesity and diabetes mellitus are both tightly linked to non-alcoholic fatty liver disease and also increase hepatocellular carcinoma risk independent of cirrhosis. Emerging data suggest that physical activity not only counteracts obesity, diabetes mellitus and non-alcoholic fatty liver disease, but also reduces cancer risk. Physical activity exerts significant anticancer effects in the absence of metabolic disorders. Here, we present a systematic review on lifestyles and hepatocellular carcinoma.

Molecular mechanism of PUVA-induced apoptosis in mouse epidermal cells

A combination of psoralens and ultraviolet-A radiation referred to as PUVA, is widely used in the treatment of psoriasis. PUVA therapy is highly effective in killing hyperproliferative cells, but its mechanism of action has not been fully elucidated. Psoralen binds to DNA, and upon photoactivation by UVA, it forms monofunctional adducts and interstrand cross-links. PUVA treatment has been shown to be mutagenic and to produce tumors in animals. In addition, epidemiological studies have reported a 10 to 15 percent increased risk of developing squamous cell carcinoma in individuals treated chronically with PUVA. However, it remains a treatment for skin disorders such as psoriasis because its benefits outweigh its risks. The widespread use of PUVA therapy and its associated cancer risk requires us to understand the molecular mechanisms by which PUVA induces cell death. Immortalized JB6 mouse epidermal cells, p53−/− mice, and Fas Ligand−/− (gld) mice were used to investigate the molecular mechanism by which PUVA kills cells. Treatment of JB6 cells with 10 μg/ml 8-methoxypsoralen followed by irradiation with 20 kJ/m2 UVA resulted in cell death. The cells exhibited morphological and biochemical characteristics of apoptosis such as chromatin condensation, DNA ladder formation, and TUNEL-positivity. PUVA treatment stabilized and phosphorylated p53 leading to its activation, as measured by nuclear localization and induction of p21Waf/Cip1, a transcriptional target of p53. Subsequent in vivo studies revealed that there was statistically significantly less apoptosis in p53 −/− mice than in p53+/+ mice at 72 hours after PUVA. In addition, immunohistochemical analysis revealed more Fas and FasL expression in p53+/+ mice than in p53−/− mice, suggesting that p53 is required to transcriptionally activate Fas, which in turn causes the cells to undergo apoptosis. Studies with gld mice confirmed a role for Fas/FasL interactions in PUVA-induced apoptosis. There was statistically significantly less apoptosis in gld mice compared with wild-type mice 24, 48, and 72 hours after PUVA. These results demonstrate that PUVA-induced apoptosis in mouse epidermal cells requires p53 and Fas/FasL interactions. These findings may be important for designing effective treatments for diseases such as psoriasis without increasing the patient's risk for skin cancer. ^

Physical activity, body composition, exogenous estrogen use and their association with insulin-like growth factors

Obesity and physical inactivity are modifiable risk factors that are associated with several health issues; they are major factors in up to 30% of major cancers. Elevated levels of circulating insulin-like growth factor-I (IGF-I) have been associated with high body composition measurements and high cancer risk; exogenous estrogen use is associated with low circulating IGF-I levels and high cancer risk. The relationship between physical activity and circulating IGF levels is complex and findings of previous studies of their relationship remain inconsistent; however, these studies included vague definitions of physical activity. In this study, we used cross-sectional data from the Women's Health Initiative to determine the relationship between specific measures of physical activity (e.g., intensity, duration, and frequency) and circulating IGF-I levels, accounting for exogenous estrogen use and body composition. These data were collected from women enrolled at Women's Health Initiative clinical centers at Baylor College of Medicine and Wake Forest University School of Medicine. Multivariate linear regression analysis showed that circulating IGF-I and IGF-binding protein (BP) 3 levels were positively associated with frequency, duration, and intensity of physical activity. Circulating IGF-I levels and the molar IGF-I:IGF-BP3 ratio were significantly associated with frequency of walking, whereas circulating IGF-BP3 levels were significantly associated with strenuous physical activity, suggesting that different aspects of physical activity and their effects on fitness affect members of the IGF family differently. The results from our study support the recommendation of a regular exercise routine, particularly that of strenuous intensity, for postmenopausal women as a means to prevention of cancer.^

Determining the association between nativity status and mammography utilization among women in the United States using 2000 and 2005 NHIS data

Objective. To determine the association between nativity status and mammography utilization among women in the U.S. and assess whether demographic variables, socioeconomic factors healthcare access, breast cancer risk factors and acculturation variables were predictors in the relationship between nativity status and mammography in the past two years. ^ Methods. The NHIS collects demographic and health information using face-to-face interviews among a representative sample of the U.S. population and a cancer control module assessing screening behaviors is included every five years. Descriptive statistics were used to report demographic characteristics of women aged 40 and older who have received a mammogram in the last 2 years from 2000 and 2005. We used chi square analyses to determine statistically significant differences by mammography screening for each covariate. Logistic regression was used to determine whether demographic characteristics, socioeconomic characteristics, healthcare access, breast cancer risk factors and acculturation variables among foreign-born Hispanics affected the relationship between nativity status and mammography use in the past 2 years. ^ Results. In 2000, the crude model between nativity and mammography was significant but results were not significant after adjusting for health insurance, access and reported health status. Significant results were also reported for years in U.S. and mammography among foreign-born born women. In 2005, the crude model was also significant but results were not significant after adjusting for demographic factors. Furthermore, there was a significant finding between citizenship and mammography in the past 2 years. ^ Conclusions. Our study contributes to the literature as one of the first national-based studies assessing mammography in the past two years based on nativity status. Based on our findings, health insurance and access to care is an important predictor in mammography utilization among foreign-born women. For those with health care access, physician recommendation should further be assessed to determine whether women are made aware of mammography as a means to detect breast cancer at an early stage and further reduce the risk of mortality from the breast cancer.^

The effect of obesity on mammography utilization in African American women

Breast cancer continues to reign as a common cause of death for women in the United States, claiming the lives of more than an estimated 40,000 women in 2009 alone (Ries et al., 2009). A mammogram, an x-ray of the breast, can aid in early detection of breast cancer and thus more successful treatment. Screening patterns indicate African American women are less likely to utilize mammography technology when compared to their Caucasian counterparts. Additionally, the obesity epidemic in the United States remains a major public health problem. Obesity trends indicate that African American women are likely to be more obese when compared to Caucasian women. Pischon, Nöthlings, & Boeing (2008) concluded there was sufficient evidence linking breast cancer and obesity. Many researchers have identified obesity as a risk factor for breast cancer. As African American women are disproportionately burdened by both breast cancer mortality and obesity, more extensive research is needed to gain more knowledge about their association. The purpose of this study was to identify the role obesity plays in lessening an African American woman’s usage of mammography technology. Data from the 2005 National Health Interview Study were analyzed using SPSS to evaluate the relationship between body mass index (BMI) and mammography utilization in the two aforementioned populations.^ After excluding respondents from the sample who did not meet the set criteria, there were 17,666 women remaining. Of the 17,666 women, 6,156 (34.8%) had a healthy weight, 6,024 (34.1%) were overweight, and 4,285 (24.3%) were obese. About 70% of the sample population reported having had a mammogram in the last two years. Another 27.6% of women reported not receiving a mammogram within this same two year time frame. Within ethnic categories, the majority of the sample was Caucasian (64.2%) while only 15.1% of the sample was African American. The relationship between mammography usage and body mass index was not statistically significant within any body mass index categories. When analyzing the relationship between mammography usage and BMI, adjusting for ethnicity, there was also no significant difference between obese African American and obese Caucasian women. The study did find significant relationships between mammography usage and body mass index when adjusting for cancer risk OR = .79 (95% CI .72 - .85), and marital status OR = 1.18 (95% CI 1.05 - 1.34). Due to insignificant findings, there was no evidence to support the hypothesis regarding differences in mammography usage based on weight or ethnicity. Mammography screening differences based on ethnicity are widely cited. Unfortunately it is still unclear exactly where these differences lie. Obesity has been widely documented in the literature as a risk factor for many chronic diseases, including certain forms of cancer. Understanding the relationship between screening behaviors and weight can assist in the development of health promotion programs aimed at high risk groups. In order to change screening behavior and reduce mortality from breast cancer, more research is needed to identify similarities within low screening populations.^

Logistic regression with Markov chains as covariates

The tobacco-specific nitrosamine 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) is an obvious carcinogen for lung cancer. Since CBMN (Cytokinesis-blocked micronucleus) has been found to be extremely sensitive to NNK-induced genetic damage, it is a potential important factor to predict the lung cancer risk. However, the association between lung cancer and NNK-induced genetic damage measured by CBMN assay has not been rigorously examined. ^ This research develops a methodology to model the chromosomal changes under NNK-induced genetic damage in a logistic regression framework in order to predict the occurrence of lung cancer. Since these chromosomal changes were usually not observed very long due to laboratory cost and time, a resampling technique was applied to generate the Markov chain of the normal and the damaged cell for each individual. A joint likelihood between the resampled Markov chains and the logistic regression model including transition probabilities of this chain as covariates was established. The Maximum likelihood estimation was applied to carry on the statistical test for comparison. The ability of this approach to increase discriminating power to predict lung cancer was compared to a baseline "non-genetic" model. ^ Our method offered an option to understand the association between the dynamic cell information and lung cancer. Our study indicated the extent of DNA damage/non-damage using the CBMN assay provides critical information that impacts public health studies of lung cancer risk. This novel statistical method could simultaneously estimate the process of DNA damage/non-damage and its relationship with lung cancer for each individual.^

THE NATURAL AND ORTHOGONAL INTERACTION (NOIA) MODELS FOR QUANTITATIVE TRAITS (QTs) AND COMPLEX DISEASES

My dissertation focuses on developing methods for gene-gene/environment interactions and imprinting effect detections for human complex diseases and quantitative traits. It includes three sections: (1) generalizing the Natural and Orthogonal interaction (NOIA) model for the coding technique originally developed for gene-gene (GxG) interaction and also to reduced models; (2) developing a novel statistical approach that allows for modeling gene-environment (GxE) interactions influencing disease risk, and (3) developing a statistical approach for modeling genetic variants displaying parent-of-origin effects (POEs), such as imprinting. In the past decade, genetic researchers have identified a large number of causal variants for human genetic diseases and traits by single-locus analysis, and interaction has now become a hot topic in the effort to search for the complex network between multiple genes or environmental exposures contributing to the outcome. Epistasis, also known as gene-gene interaction is the departure from additive genetic effects from several genes to a trait, which means that the same alleles of one gene could display different genetic effects under different genetic backgrounds. In this study, we propose to implement the NOIA model for association studies along with interaction for human complex traits and diseases. We compare the performance of the new statistical models we developed and the usual functional model by both simulation study and real data analysis. Both simulation and real data analysis revealed higher power of the NOIA GxG interaction model for detecting both main genetic effects and interaction effects. Through application on a melanoma dataset, we confirmed the previously identified significant regions for melanoma risk at 15q13.1, 16q24.3 and 9p21.3. We also identified potential interactions with these significant regions that contribute to melanoma risk. Based on the NOIA model, we developed a novel statistical approach that allows us to model effects from a genetic factor and binary environmental exposure that are jointly influencing disease risk. Both simulation and real data analyses revealed higher power of the NOIA model for detecting both main genetic effects and interaction effects for both quantitative and binary traits. We also found that estimates of the parameters from logistic regression for binary traits are no longer statistically uncorrelated under the alternative model when there is an association. Applying our novel approach to a lung cancer dataset, we confirmed four SNPs in 5p15 and 15q25 region to be significantly associated with lung cancer risk in Caucasians population: rs2736100, rs402710, rs16969968 and rs8034191. We also validated that rs16969968 and rs8034191 in 15q25 region are significantly interacting with smoking in Caucasian population. Our approach identified the potential interactions of SNP rs2256543 in 6p21 with smoking on contributing to lung cancer risk. Genetic imprinting is the most well-known cause for parent-of-origin effect (POE) whereby a gene is differentially expressed depending on the parental origin of the same alleles. Genetic imprinting affects several human disorders, including diabetes, breast cancer, alcoholism, and obesity. This phenomenon has been shown to be important for normal embryonic development in mammals. Traditional association approaches ignore this important genetic phenomenon. In this study, we propose a NOIA framework for a single locus association study that estimates both main allelic effects and POEs. We develop statistical (Stat-POE) and functional (Func-POE) models, and demonstrate conditions for orthogonality of the Stat-POE model. We conducted simulations for both quantitative and qualitative traits to evaluate the performance of the statistical and functional models with different levels of POEs. Our results showed that the newly proposed Stat-POE model, which ensures orthogonality of variance components if Hardy-Weinberg Equilibrium (HWE) or equal minor and major allele frequencies is satisfied, had greater power for detecting the main allelic additive effect than a Func-POE model, which codes according to allelic substitutions, for both quantitative and qualitative traits. The power for detecting the POE was the same for the Stat-POE and Func-POE models under HWE for quantitative traits.

Age -period -cohort analysis: An extension of Cox's lifetable regression with time -dependent covariates

It is well known that an identification problem exists in the analysis of age-period-cohort data because of the relationship among the three factors (date of birth + age at death = date of death). There are numerous suggestions about how to analyze the data. No one solution has been satisfactory. The purpose of this study is to provide another analytic method by extending the Cox's lifetable regression model with time-dependent covariates. The new approach contains the following features: (1) It is based on the conditional maximum likelihood procedure using a proportional hazard function described by Cox (1972), treating the age factor as the underlying hazard to estimate the parameters for the cohort and period factors. (2) The model is flexible so that both the cohort and period factors can be treated as dummy or continuous variables, and the parameter estimations can be obtained for numerous combinations of variables as in a regression analysis. (3) The model is applicable even when the time period is unequally spaced.^ Two specific models are considered to illustrate the new approach and applied to the U.S. prostate cancer data. We find that there are significant differences between all cohorts and there is a significant period effect for both whites and nonwhites. The underlying hazard increases exponentially with age indicating that old people have much higher risk than young people. A log transformation of relative risk shows that the prostate cancer risk declined in recent cohorts for both models. However, prostate cancer risk declined 5 cohorts (25 years) earlier for whites than for nonwhites under the period factor model (0 0 0 1 1 1 1). These latter results are similar to the previous study by Holford (1983).^ The new approach offers a general method to analyze the age-period-cohort data without using any arbitrary constraint in the model. ^