Knowledge, Attitudes, and Utilization of BRCA Testing Among Obstetricians and Gynecologists

Hereditary breast and ovarian cancer (HBOC) is an inherited cancer syndrome that is associated with mutations in the BRCA1 and BRCA2 genes. Carriers of BRCA mutations, both men and women, are at an increased risk for developing certain cancers. Carriers are most notably at an increased risk to develop breast and ovarian cancers; however an increased risk for prostate cancer, melanoma, and pancreatic cancers has also been associated with these mutations. In 2009 the American Congress of Obstetricians and Gynecologists (ACOG) released a practice bulletin stating that evaluating a patient’s risk for HBOC should be a routine part of obstetric and gynecologic practice. A survey was created and completed by 83 obstetricians and gynecologists in the greater Houston, TX area. The survey consisted of four sections designed to capture demographic information, attitudes towards HBOC and BRCA testing, utilization of BRCA testing, and the overall knowledge of respondents with regards to HBOC and BRCA testing. This study found that the majority of participants indicated that they felt that obstetricians and gynecologists should have the primary responsibility of identifying patients who may be at increased risk of carrying a BRCA mutation. Moreover, this study found that the majority of participants indicated that they felt comfortable or very comfortable in identifying patients at an increased risk of carrying a BRCA mutation. However, only about a quarter of participants indicated that they order BRCA genetic testing one to two times per month or more. Lastly, this study demonstrates that the overall knowledge of HBOC and BRCA testing among this population of obstetricians and gynecologists is poor. The results of this study stress the need for more education regarding HBOC, genetic testing, and strategies for identifying patients that may be at risk for having a mutation in a BRCA gene. Furthermore, it reiterates the importance of raising awareness to current practice guidelines and recommendations that can assist obstetricians and gynecologist to better identify and manage patients that may be at an increased risk of having HBOC.

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.

Novel Imaging-Based Techniques Reveal a Role for PD-1/PD-L1 in Tumor Immune Surveillance in the Lung

The binding of immune inhibitory receptor Programmed Death 1 (PD-1) on T cells to its ligand PD-L1 has been implicated as a major contributor to tumor induced immune suppression. Clinical trials of PD-L1 blockade have proven effective in unleashing therapeutic anti-tumor immune responses in a subset of patients with advanced melanoma, yet current response rates are low for reasons that remain unclear. Hypothesizing that the PD-1/PD-L1 pathway regulates T cell surveillance within the tumor microenvironment, we employed intravital microscopy to investigate the in vivo impact of PD-L1 blocking antibody upon tumor-associated immune cell migration. However, current analytical methods of intravital dynamic microscopy data lack the ability to identify cellular targets of T cell interactions in vivo, a crucial means for discovering which interactions are modulated by therapeutic intervention. By developing novel imaging techniques that allowed us to better analyze tumor progression and T cell dynamics in the microenvironment; we were able to explore the impact of PD-L1 blockade upon the migratory properties of tumor-associated immune cells, including T cells and antigen presenting cells, in lung tumor progression. Our results demonstrate that early changes in tumor morphology may be indicative of responsiveness to anti-PD-L1 therapy. We show that immune cells in the tumor microenvironment as well as tumors themselves express PD-L1, but immune phenotype alone is not a predictive marker of effective anti-tumor responses. Through a novel method in which we quantify T cell interactions, we show that T cells are largely engaged in interactions with dendritic cells in the tumor microenvironment. Additionally, we show that during PD-L1 blockade, non-activated T cells are recruited in greater numbers into the tumor microenvironment and engage more preferentially with dendritic cells. We further show that during PD-L1 blockade, activated T cells engage in more confined, immune synapse-like interactions with dendritic cells, as opposed to more dynamic, kinapse-like interactions with dendritic cells when PD-L1 is free to bind its receptor. By advancing the contextual analysis of anti-tumor immune surveillance in vivo, this study implicates the interaction between T cells and tumor-associated dendritic cells as a possible modulator in targeting PD-L1 for anti-tumor immunotherapy.

BAYESIAN STATISTICAL METHODS IN GENE-ENVIRONMENT AND GENE-GENE INTERACTION STUDIES

Complex diseases such as cancer result from multiple genetic changes and environmental exposures. Due to the rapid development of genotyping and sequencing technologies, we are now able to more accurately assess causal effects of many genetic and environmental factors. Genome-wide association studies have been able to localize many causal genetic variants predisposing to certain diseases. However, these studies only explain a small portion of variations in the heritability of diseases. More advanced statistical models are urgently needed to identify and characterize some additional genetic and environmental factors and their interactions, which will enable us to better understand the causes of complex diseases. In the past decade, thanks to the increasing computational capabilities and novel statistical developments, Bayesian methods have been widely applied in the genetics/genomics researches and demonstrating superiority over some regular approaches in certain research areas. Gene-environment and gene-gene interaction studies are among the areas where Bayesian methods may fully exert its functionalities and advantages. This dissertation focuses on developing new Bayesian statistical methods for data analysis with complex gene-environment and gene-gene interactions, as well as extending some existing methods for gene-environment interactions to other related areas. It includes three sections: (1) Deriving the Bayesian variable selection framework for the hierarchical gene-environment and gene-gene interactions; (2) Developing the Bayesian Natural and Orthogonal Interaction (NOIA) models for gene-environment interactions; and (3) extending the applications of two Bayesian statistical methods which were developed for gene-environment interaction studies, to other related types of studies such as adaptive borrowing historical data. We propose a Bayesian hierarchical mixture model framework that allows us to investigate the genetic and environmental effects, gene by gene interactions (epistasis) and gene by environment interactions in the same model. It is well known that, in many practical situations, there exists a natural hierarchical structure between the main effects and interactions in the linear model. Here we propose a model that incorporates this hierarchical structure into the Bayesian mixture model, such that the irrelevant interaction effects can be removed more efficiently, resulting in more robust, parsimonious and powerful models. We evaluate both of the 'strong hierarchical' and 'weak hierarchical' models, which specify that both or one of the main effects between interacting factors must be present for the interactions to be included in the model. The extensive simulation results show that the proposed strong and weak hierarchical mixture models control the proportion of false positive discoveries and yield a powerful approach to identify the predisposing main effects and interactions in the studies with complex gene-environment and gene-gene interactions. We also compare these two models with the 'independent' model that does not impose this hierarchical constraint and observe their superior performances in most of the considered situations. The proposed models are implemented in the real data analysis of gene and environment interactions in the cases of lung cancer and cutaneous melanoma case-control studies. The Bayesian statistical models enjoy the properties of being allowed to incorporate useful prior information in the modeling process. Moreover, the Bayesian mixture model outperforms the multivariate logistic model in terms of the performances on the parameter estimation and variable selection in most cases. Our proposed models hold the hierarchical constraints, that further improve the Bayesian mixture model by reducing the proportion of false positive findings among the identified interactions and successfully identifying the reported associations. This is practically appealing for the study of investigating the causal factors from a moderate number of candidate genetic and environmental factors along with a relatively large number of interactions. The natural and orthogonal interaction (NOIA) models of genetic effects have previously been developed to provide an analysis framework, by which the estimates of effects for a quantitative trait are statistically orthogonal regardless of the existence of Hardy-Weinberg Equilibrium (HWE) within loci. Ma et al. (2012) recently developed a NOIA model for the gene-environment interaction studies and have shown the advantages of using the model for detecting the true main effects and interactions, compared with the usual functional model. In this project, we propose a novel Bayesian statistical model that combines the Bayesian hierarchical mixture model with the NOIA statistical model and the usual functional model. The proposed Bayesian NOIA model demonstrates more power at detecting the non-null effects with higher marginal posterior probabilities. Also, we review two Bayesian statistical models (Bayesian empirical shrinkage-type estimator and Bayesian model averaging), which were developed for the gene-environment interaction studies. Inspired by these Bayesian models, we develop two novel statistical methods that are able to handle the related problems such as borrowing data from historical studies. The proposed methods are analogous to the methods for the gene-environment interactions on behalf of the success on balancing the statistical efficiency and bias in a unified model. By extensive simulation studies, we compare the operating characteristics of the proposed models with the existing models including the hierarchical meta-analysis model. The results show that the proposed approaches adaptively borrow the historical data in a data-driven way. These novel models may have a broad range of statistical applications in both of genetic/genomic and clinical studies.

Expression of TNF-$\alpha$ protein and C -FOS and TNF mRNA during human peripheral blood monocyte maturation and activation

Human peripheral blood monocytes (HPBM) were isolated by centrifugal elutriation from mononuclear cell enriched fractions after routine plateletapheresis and the relationship between maturation of HPBM to macrophage-like cells and activation for tumoricidal activity determined. HPBM were cultured for various times in RPMI 1640 supplemented with 5% pooled human AB serum and cytotoxicity to $\sp{125}$IUDR labeled A375M, a human melanoma cell line, and TNF-$\alpha$ release determined by cytolysis of actinomycin D treated L929 cells. Freshly isolated HPBM or those exposed to recombinant IFN-$\gamma$(1.0 U/ml) were not cytolytic and did not release TNF-$\alpha$ into culture supernatants. Exposure to bacterial lipopolysaccharide (LPS, 1.0 $\upsilon$g/ml) stimulated cytolytic activity and release of TNF-$\alpha$. Maximal release of TNF-$\alpha$ protein occurred at 8 hrs and returned to baseline by 72 hrs. Expression of TNF-$\alpha$ protein was determined by Western blotting. Neither freshly isolated nor IFN-$\gamma$ treated HPBM expressed TNF protein at any time during in vitro culture. LPS treated HPBM maximally expressed the 17KD TNF-$\alpha$ protein at 8 hrs, and protein was not detected after 36 hrs of in vitro culture. Expression of TNF-$\alpha$ mRNA was determined by Northern blotting. Freshly isolated HPBM express TNF-$\alpha$ mRNA which decays to basal levels by 6 hrs of in vitro culture. IFN-$\gamma$ treatment maintains TNF-$\alpha$ mRNA expression for up to 48 hrs of culture, after which it is undetectable. LPS induces TNF-$\alpha$ mRNA after 30 minutes of exposure with maximal accumulation occurring between 4 to 8 hrs. TNF mRNA was not detected in control HPBM at any time after 6 hrs or IFN-$\gamma$ treated HPBM after 48 hrs of in vitro culture. A pulse of LPS the last 24 hrs of in vitro culture induces the accumulation of TNF-$\alpha$ mRNA in HPBM cultured for 3, 5, and 7 days, with the magnitude of induction decreasing approximately 10 fold between 3 and 7 days. Induction of TNF-$\alpha$ mRNA occurred in the absence of detectable TNF-$\alpha$ protein or supernatant activity. Maturation of HPBM to macrophage-like cells controls competence for activation, magnitude and duration of the activation response. ^

Dissection of antitumor activity by lymphokine -activated killer cells: Role of FcR+ precursors and obligatory role of tumor necrosis factor-$\alpha$ in antibody -dependent cellular cytotoxicity

Human peripheral blood lymphocytes (PBL) cultured for varying lengths of time in IL-2 are able to mediate antibody independent cellular cytotoxicity (AICC) as well as antibody dependent cellular cytotoxicity (ADCC) against a wide range of tumor targets. The objective of our study is to determine the cytotoxic potential of the subset of LAK cells involved in ADCC, the tumor recognition mechanism in ADCC, the kinetics of ADCC mediated by PBL cultured under various conditions and the role of TNF-$\alpha$ in the development and maturation of ADCC effectors in the LAK population.^ The model system in this study for ADCC used a monoclonal antibody 14G2a (IgG2a), that recognizes the GD2 epitope on human melanoma cell line, SK-Mel-1. The target recognition mechanism operative in AICC (traditionally known as lymphokine activated killing or LAK) is an acquired property of these IL-2 activated cells which confers on them the unique ability to distinguish between tumor and normal cells. This recognition probably involves the presence of a trypsin sensitive N-linked glycoprotein epitope on tumor cells. Proteolytic treatment of the tumor cells with trypsin renders them resistant to AICC by PBL cultured in IL-2. However, ADCC is unaffected. This ADCC, mediated by the relatively small population of cells that are positive for the Fc receptor for IgG (FcR), is an indication that this subset of "LAK" cells does not require the trypsin sensitive epitope on tumor cells to mediate killing. Enriching PBL for FcR+ cells markedly enhanced both AICC and ADCC and also reduced the IL-2 requirement of these cells.^ The stoichiometry of Fc receptor (FcR) expression on the cytotoxic effectors does not correlate with ADCC lytic activity. Although FcRs are necessary to mediate ADCC, other factors, appear to regulate the magnitude of cytolytic activity. In order to investigate these putative factors, the kinetics of ADCC development was studied under various conditions (in IL-2 (10u/ml) and 100u/ml), in IL-2(10u/ml) + TNF$\alpha$ (500u/ml) and in TNF-$\alpha$ (500u/ml) alone). Addition of exogenous TNF-$\alpha$ into the four hour cytotoxicity assay did not increase ADCC, nor did anti-TNF antibodies result in inhibition. On the other hand, addition of anti-TNF antibodies to PBL and IL-2 for 24 hours, resulted in a marked inhibition of the ADCC, suggesting that endogenous TNF-$\alpha$ is obligatory for the maturation and differentiation of ADCC effectors. ^

Evidence that lymphokine -activated killer (LAK) cell function is regulated by both serine and tyrosine kinase pathways

Signal transduction pathways operative in lymphokine activated killer (LAK) cells during execution of cytolytic function have never been characterized. Based on ubiquitous involvement of protein phosphorylation in activation of cytolytic mechanisms used by CTL and NK cells, it was hypothesized that changes in protein phosphorylation should occur when LAK encounter tumor targets. It was further hypothesized that protein kinases would regulate LAK-mediated cytotoxicity. Exposure to either SK-Mel-1 (melanoma) or Raji (lymphoma) targets consistently led to increased phosphorylation of two 65-kD LAK proteins pp65a and -b, with isoelectric points (pI) of 5.1 and 5.2 respectively. Increased p65 phosphorylation was initiated between 1 and 5 min after tumor coincubation, occurred on Ser residues, required physical contact between LAK and tumors, correlated with target recognition, and also occurred after crosslinking Fc$\gamma$RIIIA in the absence of tumors. Both pp65a and -b were tentatively identified as phosphorylated forms of the actin-bundling protein L-plastin, based on pI, molecular weight, and cross-reactivity with specific antiserum. The known biochemical properties of L-plastin suggest it may be involved in regulating adhesion of LAK to tumor targets. The protein tyrosine kinase-specific inhibitor Herb A did not block p65 phosphorylation, but blocked LAK killing of multiple tumor targets at a post-binding stage. Greater than 50% inhibition of cytotoxicity was observed after a 2.5-h pretreatment with 0.125 $\mu$g/ml Herb A. Inhibition occurred over a period in pretreatment which LAK were not dependent upon IL-2 for maintenance of killing activity, supporting the conclusion that the drug interfered with mobilization of cytotoxic function. Granule exocytosis measured by BLT-esterase release from LAK occurred after coincubation with tumors, and was inhibited by Herb A LAK cytotoxicity was dependent upon extracellular calcium, suggesting that granule exocytosis rather than Fas ligand was the principal pathway leading to target cell death. The data indicate that protein tyrosine kinases play a pivotal role in LAK cytolytic function by regulating granule exocytosis, and that tumor targets can activate an adhesion dependent Ser kinase pathway in LAK resulting in phosphorylation of L-plastin. ^

Mechanisms of adenovirus 5 E1A -mediated tumor suppression and E1A-mediated apoptosis

The adenovirus type 5 E1A gene products have numerous functions in cells, which serve as useful tools in studying the mechanisms of either oncogenesis or tumor suppression. To understand the mechanisms of E1A-mediated tumor suppression, we introduced an Ad5 E1A gene into murine melanoma cells, and characterized E1A-mediated biological functions both in vitro and in vivo. The results of the study indicated that: (i) Ad5 E1A mediated tumor suppression in rodent tumor cells; (ii) E1A-mediated tumor suppression is associated with E1A-mediated apoptosis in vivo.^ To determine which functional region(s) of E1A is(are) required for E1A-mediated apoptosis and whether E1A-mediated apoptosis is required for E1A-mediated tumor suppression, we established stable transfectants of E1A mutants, which have deletion mutation at either the N-terminal (p300-binding) or the CR2 (pRb-binding) domain or both, and then characterized biological functions both in vitro and in vivo. The results of the study indicate that the CR2 domain of E1A is required for E1A-mediated apoptosis, while the N-terminal domain of E1A is dispensable. Interestingly, either of the two domains is able to mediate tumor suppression, since mutant E1A with a single deletion at either domain still suppressed tumor growth. Importantly, deletion mutations at both the N-terminal and the CR2 domains of E1A abrogated E1A-mediated tumor suppression, suggesting both regions are required for E1A-mediated tumor suppression. The results demonstrate that E1A-mediated apoptosis is not the only mechanism for E1A-mediated tumor suppression. Thus, the N-terminal and CR2 domains of E1A mediated two independent mechanisms of tumor suppression.^ To understand the mechanism of E1A-mediated apoptosis, we examined the temporal relationship of molecular events during the apoptotic cascades after UV radiation and serum depletion in both the E1A-expressing cells and parental cells. Kinetic analysis of JNK activity indicates that the JNK pathway is greatly increased in response to UV light in E1A transfectants, suggesting that extracellular stress stimuli have been converted into intracellular stress signals with greater magnitude in E1A transfectants than those in parental cells. Thus, E1A-mediated sensitization precedes these events. As ceramide has been proposed as second messenger and upstream activator of JNK pathway for stress-induced apoptosis, we also examined the roles of ceramide in apoptosis and the relationship with JNK pathway. The results indicate that E1A transfectants do not have increased sensitivity to ceramide. Therefore, E1A-mediated sensitization to UV radiation cannot be attributed to an increased sensitivity to ceramide. Furthermore, UV-induced JNK activation correlates with UV-induced apoptosis, while lethal dose of ceramide does not activate JNK. Thus, activation of JNK pathway is independent of the ceramide pathway. In addition, E1A transfectants also have increased activation of NF-kB in response to UV. These results suggest that E1A-mediated sensitization is an early event which associates with conversion of extracellular stress stimuli into amplified intracellular signals. The mechanism of E1A-mediated sensitization and its relationship with other pathways are discussed. ^

Examination of synthetic retinoid -induced apoptosis in cutaneous squamous cell carcinomas: Mechanisms and implications for chemoprevention and chemotherapy with retinoids

Non-melanoma skin cancers, including basal cell carcinoma and squamous cell carcinoma (SCC), are the most common neoplasms in the United States with a lifetime risk nearly equal to all other types of cancer combined. Retinoids are naturally occurring and synthetic analogues of vitamin A that bind to nuclear retinoid receptors and modulate gene expression as a means of regulating cell proliferation and differentiation. Retinoids have been employed for many years in the treatment of various cutaneous lesions and for cancer chemoprevention and therapy. The primary drawback limiting the use of retinoids is their toxicity, which is also associated with receptor-gene interactions. In this study, the effects of the synthetic retinoids N-(4-hydroxyphenyl)retinamide (4HPR) and 6-[3-(1-adamantyl)-4-hydroxyphenyl]-2-naphthalene carboxylic acid (CD437) were examined in cutaneous keratinocytes. Four human cutaneous SCC cell lines were examined along with normal human epidermal keratinocyte (NHEK) cells from two donors. Sensitivity to 4HPR or CD437 alone or in combination with other agents was determined via growth inhibition, cell cycle distributions, or apoptosis induction. Both synthetic retinoids were able to promote apoptosis in SCC cells more effectively than the natural retinoid all-trans retinoic acid. Apoptosis could not be inhibited by nuclear retinoic acid receptor antagonists. In NHEK cells, 4HPR induced apoptosis while CD437 promoted G1 arrest. 4HPR acted as a prooxidant by generating reactive oxygen species (ROS) in SCC and NHEK cells. 4HPR-induced apoptosis in SCC cells could be inhibited or potentiated by manipulating cellular defenses against oxidative stress, indicating an essential role for ROS in 4HPR-induced apoptosis. CD437 promoted apoptosis in SCC cells in S and G2/M phases of the cell cycle within two hours of treatment, and this rapid induction could not be blocked with cycloheximide. This study shows: (1) 4HPR- and CD437-induced apoptosis do not directly involve a traditional retinoid pathway; (2) 4HPR can act as a prooxidant as a means of promoting apoptosis; (3) CD437 induces apoptosis in SCC cells independent of protein synthesis and is potentially less toxic to NHEK cells; and (4) 4HPR and CD437 operate under different mechanisms with respect to apoptosis induction and this may potentially enhance their therapeutic index in vivo. ^

Ultraviolet radiation modulates the immune system through the platelet -activating factor receptor

Ultraviolet radiation plays a critical role in the induction of non-melanoma skin cancer. UV radiation is also immune suppressive. Moreover, UV-induced systemic immune suppression is a major risk factor for skin cancer induction. Previous work had shown that UV exposure in vivo activates a cytokine cascade involving PGE2, IL-4, and IL-10 that induces immune suppression. However, the earliest molecular events that occur immediately after UV-exposure, especially those upstream of PGE2, were not well defined. To determine the initial events and mediators that lead to immune suppression after a pathological dose of UV, mouse keratinocytes were analyzed after sunlamp irradiation. It is known that UV-irradiated keratinocytes secrete the phospholipid mediator of inflammation, platelet-activating factor (PAF). Since PAF stimulates the production of immunomodulatory compounds, including PGE2, the hypothesis that UV-induced PAF activates cytokine production and initiates UV-induced immune suppression was tested. Both UV and PAF activated the transcription of cyclooxygenase (COX)-2 and IL-10 reporter gene constructs. A PAF receptor antagonist blocked UV-induced IL, 10 and COX-2 transcription. PAF mimicked the effects of UV in vivo and suppressed delayed-type hypersensitivity (DTH), and immune suppression was blocked when UV-irradiated mice were injected with a PAF receptor antagonist. This work shows that UV generates PAF-like oxidized lipids, that signal through the PAF receptor, activate cytokine transcription, and induce systemic immune suppression. ^

Clasificación de imágenes dermatoscópicas

Este proyecto presenta un software para el análisis de imágenes dermatoscópicas correspondiente a lesiones melanocíticas, con el fin de clasificarlas entre lesiones benignas y melanoma. El sistema realiza una segmentación automática de la lesión y la procesa en varas etapas, extrayendo características de relevancia diagnóstica: asimetría, colores, irregularidad del borde, y la presencia de estructuras como redes pigmentadas atípicas o velo azul-blanquecino. Proporciona además una herramienta para el etiquetado manual de estructuras adicionales. La clasificación automática de las lesiones se realiza en base a los métodos de diagnóstico más comúnmente utilizados: las reglas ABCD, Menzies, 7-point checklist, CASH y CHAOS & CLUES. El sistema de clasificación se evalúa sobre una base de datos de imágenes dermatoscópicas, y se realiza una comparativa de los resultados obtenidos por cada método de diagnóstico. ABSTRACT. This project presents a software for the analysis of dermoscopic images of melanocytic lesions, and their classification into benign lesions and melanoma. The system performs automatic segmentation of the lesion and goes through several stages of extraction of certain characteristics relevant to the diagnosis, such as asymmetry, border irregularity, or presence of structures like atypical pigmented network or blue-whitish veil. Automatic classification of the lesions is accomplished by means of the most commonly used diagnostic methods, such as ABCD and Menzies's rules, the 7-point checklist, CASH, and CHAOS & CLUES. The classification system is evaluated by using a dermoscopic image database, and a comparison of the results yielded by the different diagnostic methods is performed.

Design and characterization of α-melanotropin peptide analogs cyclized through rhenium and technetium metal coordination

α-Melanocyte stimulating hormone (α-MSH) analogs, cyclized through site-specific rhenium (Re) and technetium (Tc) metal coordination, were structurally characterized and analyzed for their abilities to bind α-MSH receptors present on melanoma cells and in tumor-bearing mice. Results from receptor-binding assays conducted with B16 F1 murine melanoma cells indicated that receptor-binding affinity was reduced to approximately 1% of its original levels after Re incorporation into the cyclic Cys4,10, d-Phe7–α-MSH4-13 analog. Structural analysis of the Re–peptide complex showed that the disulfide bond of the original peptide was replaced by thiolate–metal–thiolate cyclization. A comparison of the metal-bound and metal-free structures indicated that metal complexation dramatically altered the structure of the receptor-binding core sequence. Redesign of the metal binding site resulted in a second-generation Re–peptide complex (ReCCMSH) that displayed a receptor-binding affinity of 2.9 nM, 25-fold higher than the initial Re–α-MSH analog. Characterization of the second-generation Re–peptide complex indicated that the peptide was still cyclized through Re coordination, but the structure of the receptor-binding sequence was no longer constrained. The corresponding 99mTc- and 188ReCCMSH complexes were synthesized and shown to be stable in phosphate-buffered saline and to challenges from diethylenetriaminepentaacetic acid (DTPA) and free cysteine. In vivo, the 99mTcCCMSH complex exhibited significant tumor uptake and retention and was effective in imaging melanoma in a murine-tumor model system. Cyclization of α-MSH analogs via 99mTc and 188Re yields chemically stable and biologically active molecules with potential melanoma-imaging and therapeutic properties.

Up-regulation of specific tyrosinase mRNAs in mouse melanomas with the c2j gene substituted for the wild-type tyrosinase allele: Utilization in design of syngeneic immunotherapy models

The expression of cell-specialization genes is likely to be changing in tumor cells as their differentiation declines. Functional changes in these genes might yield unusual peptide epitopes with anti-tumor potential and could occur without modification in the DNA sequence of the gene. Melanomas undergo a characteristic decline in melanization that may reflect altered contributions of key melanocytic genes such as tyrosinase. Quantitative reverse transcriptase–PCR of the wild-type (C) tyrosinase gene in transgenic (C57BL/6 strain) mouse melanomas has revealed a shift toward alternative splicing of the pre-mRNA that generated increased levels of the Δ1b and Δ1d mRNA splice variants. The spontaneous c2j albino mutation of tyrosinase (in the C57BL/6 strain) changes the pre-mRNA splicing pattern. In c2j/c2j melanomas, alternative splicing was again increased. However, while some mRNAs (notably Δ1b) present in C/C were obligatorily absent, others (Δ3 and Δ1d) were elevated. In c2j/c2j melanomas, the percentage of total tyrosinase transcripts attributable to Δ3 reached approximately 2-fold the incidence in c2j/c2j or C/C skin melanocytes. The percentage attributable to Δ1d rose to approximately 2-fold the incidence in c2j/c2j skin, and to 10-fold that in C/C skin. These differences provide a basis for unique mouse models in which the melanoma arises in skin grafted from a C/C or c2j/c2j transgenic donor to a transgenic host of the same or opposite tyrosinase genotype. Immunotherapy designs then could be based on augmenting those antigenic peptides that are novel or overrepresented in a tumor relative to the syngeneic host.

Potent inhibition of tumor survival in vivo by β-lapachone plus taxol: Combining drugs imposes different artificial checkpoints

Ablation of tumor colonies was seen in a wide spectrum of human carcinoma cells in culture after treatment with the combination of β-lapachone and taxol, two low molecular mass compounds. They synergistically induced death of cultured ovarian, breast, prostate, melanoma, lung, colon, and pancreatic cancer cells. This synergism is schedule dependent; namely, taxol must be added either simultaneously or after β-lapachone. This combination therapy has unusually potent antitumor activity against human ovarian and prostate tumor prexenografted in mice. There is little host toxicity. Cells can commit to apoptosis at cell-cycle checkpoints, a mechanism that eliminates defective cells to ensure the integrity of the genome. We hypothesize that when cells are treated simultaneously with drugs activating more than one different cell-cycle checkpoint, the production of conflicting regulatory signaling molecules induces apoptosis in cancer cells. β-Lapachone causes cell-cycle delays in late G1 and S phase, and taxol arrests cells at G2/M. Cells treated with both drugs were delayed at multiple checkpoints before committing to apoptosis. Our findings suggest an avenue for developing anticancer therapy by exploiting apoptosis-prone “collisions” at cell-cycle checkpoints.

Peptide-specific cytotoxic T lymphocytes restricted by nonself major histocompatibility complex class I molecules: Reagents for tumor immunotherapy

Studies in melanoma patients have revealed that self proteins can function as targets for tumor-reactive cytotoxic T lymphocytes (CTL). One group of self proteins MAGE, BAGE, and GAGE are normally only expressed in testis and placenta, whilst another group of CTL recognized proteins are melanocyte-specific differentiation antigens. In this study we have investigated whether CTL can be raised against a ubiquitously expressed self protein, mdm-2, which is frequently overexpressed in tumors. The observation that T-cell tolerance is self major histocompatibility complex-restricted was exploited to generate CTL specific for an mdm-2 derived peptide presented by nonself major histocompatibility complex class I molecules. Thus, the allo-restricted T-cell repertoire of H-2d mice was used to isolate CTL specific for the mdm100 peptide presented by allogeneic H-2Kb class I molecules. In vitro, these CTL discriminated between transformed and normal cells, killing specifically Kb-positive melanoma and lymphoma tumors but not Kb-expressing dendritic cells. In vivo, the CTL showed antitumor activity and delayed the growth of melanoma as well as lymphoma tumors in H-2b recipient mice. These experiments show that it is possible to circumvent T-cell tolerance to ubiquitously expressed self antigens, and to target CTL responses against tumors expressing elevated levels of structurally unaltered proteins.