Mismatch Repair Deficient Tumors Lacking Known Sporadic Causes: Are They All Due to Lynch Syndrome?

BACKGROUND: Mismatch repair deficient (MMRD) colorectal (CRC) or endometrial (EC) cancers in the absence of MLH1 promoter hypermethylation and BRAF mutations are suggestive of Lynch syndrome (LS). Positive germline genetic test results confirm LS. It is unclear if individuals with MMRD tumors but no identified germline mutation or sporadic cause (MMRD+/germline-) have LS. HYPOTHESIS: Since LS is hereditary, individuals with LS should have a stronger family history of LS-related cancers than individuals with sporadic tumors. We hypothesized that MMRD+/germline- CRC and/or EC patients would have less suggestive family histories than LS CRC and/or EC patients. METHODS: 253 individuals with an MMRD CRC or EC who underwent genetic counseling at one institution were included in analysis in 1 of 4 groups: LS, MMRD+/germline-, MMRD+/VUS, sporadic MSI-H (MMRD tumor with MLH1 promoter hypermethylation or BRAF mutation). Family histories were analyzed utilizing MMRpro and PREMM1,2,6. Kruskal-Wallis tests were used to compare family history scores. Logistic regression was used to determine what factors were predictive of LS. RESULTS: MMRD+/germline- individuals had significantly lower median family history scores (PREMM1,2,6=7.3, MMRpro=8.1) than LS individuals (PREMM1,2,6=26.1, MMRpro=89.8, p CONCLUSION: MMRD+/germline- individuals have less suggestive family histories of LS than individuals with LS, but more suggestive family histories than sporadic MSI-H individuals. CRC and/or EC patients with abnormal tumor studies are more likely to have a germline LS mutation if they have a family history suggestive of hereditary cancer. These results imply that the MMRD+/germline- group may not all have LS. This finding highlights the need to determine other somatic, epigenetic or germline causes of MMRD tumors so that these patients and their families can be accurately counseled regarding screening and management.

ATTITUDES AND PRACTICES OF GENETIC COUNSELORS IN PROVIDING PREDICTIVE TESTING TO MINORS AT RISK FOR LI-FRAUMENI SYNDROME

Li- Fraumeni Syndrome (LFS) is a rare autosomal dominant hereditary cancer syndrome caused by mutations in the TP53 gene that predisposes individuals to a wide variety of cancers, including breast cancer, soft tissue sarcomas, osteosarcomas, brain tumors, and adrenocortical carcinomas. Individuals found to carry germline mutations in TP53 have a 90% lifetime cancer risk, with a 20% chance to develop cancer under the age of 20. Despite the significant risk of childhood cancer, predictive testing for unaffected minors at risk for LFS historically has not been recommended, largely due to the lack of available and effective screening for the types of cancers involved. A recently developed screening protocol suggests an advantage to identifying and screening children at risk for LFS and we therefore hypothesized that this alongside with the availability of new screening modalities may substantiate a shift in recommendations for predictive genetic testing in minors at risk for LFS. We aimed to describe current screening recommendations that genetic counselors provide to this population as well as explore factors that may have influenced genetic counselors attitude and practice in regards to this issue. An online survey was emailed to members of the National Society of Genetic Counselors (NSGC) and the Canadian Association of Genetic Counsellors (CAGC). Of an estimated 1000 eligible participants, 172 completed surveys that were analyzed. Genetic counselors in this study were more likely to support predictive genetic testing for this population as the minor aged (p

CHARACTERIZATION OF DIFFERENTIATION AND PROGNOSTIC BIOMARKERS ON CD8+ TUMOR-INFILTRATING LYMPHOCYTES IN METASTATIC MELANOMA

CD8+ cytotoxic T lymphocytes (CTL) frequently infiltrate tumors, yet most melanoma patients fail to undergo tumor regression. We studied the differentiation of the CD8+ tumor-infiltrating lymphocytes (TIL) from 44 metastatic melanoma patients using known T-cell differentiation markers. We also compared CD8+ TIL against the T cells from matched melanoma patients’ peripheral blood. We discovered a novel subset of CD8+ TIL co-expressing early-differentiation markers, CD27, CD28, and a late/senescent CTL differentiation marker, CD57. This CD8+CD57+ TIL expressed a cytolytic enzyme, granzyme B (GB), yet did not express another cytolytic pore-forming molecule, perforin (Perf). In contrast, the CD8+CD57+ T cells in the periphery were CD27-CD28-, and GBHi and PerfHi. We found this TIL subset was not senescent and could be induced to proliferate and differentiate into CD27-CD57+, perforinHi, mature CTL. This further differentiation was arrested by TGF-β1, an immunosuppressive cytokine known to be produced by many different kinds of tumors. Therefore, we have identified a novel subset of incompletely differentiated CD8+ TIL that resembled those found in patients with uncontrolled chronic viral infections. In a related study, we explored prognostic biomarkers in metastatic melanoma patients treated in a Phase II Adoptive Cell Therapy (ACT) trial, in which autologous TIL were expanded ex vivo with IL-2 and infused into lymphodepleted patients. We unexpectedly found a significant positive clinical association with the infused CD8+ TIL expressing B- and T- lymphocyte attentuator (BTLA), an inhibitory T-cell receptor. We found that CD8+BTLA+ TIL had a superior proliferative response to IL-2, and were more capable of autocrine IL-2 production in response to TCR stimulation compared to the CD8+BTLA- TIL. The CD8+BTLA+ TIL were less differentiated and resembled the incompletely differentiated CD8+ TIL described above. In contrast, CD8+BTLA- TIL were poorly proliferative, expressed CD45RA and killer-cell immunoglobulin-like receptors (KIRs), and exhibited a gene expression signature of T cell deletion. Surprisingly, ligation of BTLA by its cognate receptor, HVEM, enhanced the survival of CD8+BTLA+ TIL by activating Akt/PKB. Our studies provide a comprehensive characterization of CD8+ TIL differentiation in melanoma, and revealed BTLA as a novel T-cell differentiation marker along with its role in promoting T cell survival.

INVESTIGATING THE ROLES OF THE p63 ISOFORMS IN THE MICRORNA BIOGENESIS PATHWAY

MicroRNAs play roles in various biological processes like development, tumorigenesis, metastasis and pluripotency. My thesis work has demonstrated roles for p63, a p53 family member, in the upstream regulation of microRNA biogenesis. The p63 gene has a complex gene structure and has multiple isoforms. The TAp63 isoforms contain an acidic transcription activation domain. The ΔNp63 isoforms, lack the TA domain, but have a proline rich region critical for gene transactivation. To understand the functions of these isoforms, the Flores lab generated TAp63 and ΔNp63 conditional knock out mice. Using these mice and tissues and cells from these mice we have found that TAp63 transcriptionally regulates Dicer while ΔNp63 transcriptionally regulates DGCR8. TAp63 -/- mice are highly tumor prone. These mice develop metastatic mammary adenocarcinomas, squamous cell carcinomas, and lung adenocarcinomas to distant sites including the liver, lungs, and brain. I found that TAp63 suppresses metastasis by transcriptionally activating Dicer. TAp63 and Dicer levels were very low or lost in high grade human tumors like mammary adenocarcinomas, squamous cell carcinomas, and lung adenocarcinomas. Expression of Dicer in these tumor cell lines reduced their invasiveness. Using ΔNp63 -/- mice, I found that ΔNp63 transcriptionally activates DGCR8, resulting in a miRNA profile that is critical to reprogram cells to pluripotency. Analysis of epidermal cells derived from ΔNp63 -/- mice revealed that these cells expressed markers of pluripotency, including Sox2, Oct 4 and Nanog; however, genome-wide analysis revealed a novel profile of genes that are common between ΔNp63 -/- epidermal cells and embryonic stem cells. I also found that mouse cells depleted of ΔNp63 form chimeric mice and teratomas in SCID mice, demonstrating that ΔNp63 deficient cells are pluripotent. Further, I found that restoration of DGCR8 in ΔNp63 -/- epidermal cells reduces their pluripotency and induces terminal differentiation. I also demonstrated that iMS (induced multipotent stem) cells could be generated using human keratinocytes by knockdown of ∆Np63 or DGCR8. Taken together, my work has placed p63 and its isoforms at a critical node in controlling miRNA biogenesis.

Developing the follow-up schedules for women with breast cancer

Background: The follow-up care for women with breast cancer requires an understanding of disease recurrence patterns and the follow-up visit schedule should be determined according to the times when the recurrence are most likely to occur, so that preventive measure can be taken to avoid or minimize the recurrence. Objective: To model breast cancer recurrence through stochastic process with an aim to generate a hazard function for determining a follow-up schedule. Methods: We modeled the process of disease progression as the time transformed Weiner process and the first-hitting-time was used as an approximation of the true failure time. The women's "recurrence-free survival time" or a "not having the recurrence event" is modeled by the time it takes Weiner process to cross a threshold value which represents a woman experiences breast cancer recurrence event. We explored threshold regression model which takes account of covariates that contributed to the prognosis of breast cancer following development of the first-hitting time model. Using real data from SEER-Medicare, we proposed models of follow-up visits schedule on the basis of constant probability of disease recurrence between consecutive visits. Results: We demonstrated that the threshold regression based on first-hitting-time modeling approach can provide useful predictive information about breast cancer recurrence. Our results suggest the surveillance and follow-up schedule can be determined for women based on their prognostic factors such as tumor stage and others. Women with early stage of disease may be seen less frequently for follow-up visits than those women with locally advanced stages. Our results from SEER-Medicare data support the idea of risk-controlled follow-up strategies for groups of women. Conclusion: The methodology we proposed in this study allows one to determine individual follow-up scheduling based on a parametric hazard function that incorporates known prognostic factors.^

Measuring value in cancer-related health care: A case study in head and neck cancer

In the current climate of escalating health care costs, defining value and accurately measuring it are two critical issues affecting not only the future of cancer care in particular but also the future of health care in general. Specifically, measuring and improving value in cancer-related health care are critical for continued advancements in research, management, and overall delivery of care. However, in oncology, most of this research has focused on value as it relates to insurance industry and payment reform, with little attention paid to value as the output of clinical interventions that encompass integrated clinical teams focusing on the entire cycle of care and measuring objective outcomes that are most relevant to patients. ^ In this study, patient-centered value was defined as health outcomes achieved per dollar spent, and calculated using objective functional outcomes and total care costs. The analytic sample comprised patients diagnosed with three common head and neck cancers—cancer of the larynx, oral cavity, and oropharynx—who were treated in an integrated tertiary care center over an approximately 10-year period. The results of this study provide initial empirical data that can be used to assess and ultimately to help improve the quality and value of head and neck cancer care, and more importantly they can be used by patients and clinicians to make better-informed decisions about care, particularly what therapeutic services and outcomes matter the most to patients.^

Impact of racial differences in medical care on breast cancer survival: Findings from a large nationwide and retrospective cohort study

Background: No studies have attempted to determine whether nodal surgery utilization, time to initiation and completion of chemotherapy or surveillance mammography impact breast cancer survival. ^ Objectives and Methods: To determine whether receipt of nodal surgery, initiation and completion of chemotherapy, and surveillance mammography impact of racial disparities in survival among breast cancer patients in SEER areas, 1992-2005. ^ Results: Adjusting for nodal surgery did not reduce racial disparities in survival. Patients who initiated chemotherapy more than three months after surgery were 1.8 times more likely to die of breast cancer (95% CI 1.3-2.5) compared to those who initiated chemotherapy less than a month after surgery, even after controlling for known confounders or controlling for race. Despite correcting for chemotherapy initiation and completion and known predictors of outcome, African American women still had worse disease specific survival than their Caucasian counterparts. We found that non-whites underwent surveillance mammography less frequently compared with whites and mammography use during a one- or two-year time interval was associated with a small reduced risk of breast-cancer-specific and all-cause mortality. Women who received a mammogram during a two-year interval could expect the same disease-specific survival benefit or overall survival benefit as women who received a mammogram during a one-year interval. We found that while adjustment for surveillance mammography receipt and physician visits reduced differences in mortality between blacks and whites, these survival disparities were eliminated after adjusting for the number of surveillance mammograms received. ^ Conclusions: The disparities in survival among African American and Hispanic women with breast cancer are not explained by nodal surgery utilization or chemotherapy initiation and chemotherapy completion. Surveillance mammograms, physician visits and number of mammograms received may play a major role in achieving equal outcomes for breast cancer-specific mortality for women diagnosed with primary breast cancer. Racial disparities in all-cause mortality were explained by racial differences in surveillance mammograms to certain degree, but were no longer significant after controlling for differences in comorbidity. Focusing on access to quality care and post treatment surveillance might help achieve national goals to eliminate racial disparities in healthcare and outcomes. ^

Cellular Trafficking of Single and Multistage Vectors

Nanomedicine is an innovative field of science which has recently generated many drug delivery platforms with exciting results. The great potential of these strategies rely on the unique characteristics of the devices at the nano-scale in terms of long time circulation in the blood stream, selective accumulation at the lesions sites, increased solubility in aqueous solutions, etc. Herein we report on a new drug delivery system known as a multistage system which is comprised of non-spherical, mesoporous silicon particles loaded with second stage nanoparticles. The rationally designed particle shape, the possibility to modulate the surface properties and the degree of porosity allow these carriers to be optimized for vascular targeting and to overcome the numerous biological barriers found in drug delivery. In this study we investigated the intra and inter cellular trafficking of the multistage system in endothelial cells bringing evidence of its bio-compatibility as well as its ability to perform multiple intra and inter cellular tasks. Once internalized in cells, the multi-particle construct is able to dissociate, localizing in different subcellular compartments which can be targeted for exocytosis. In particular the second stage nanoparticles were found to be secreted in microvesicles which can act as mediators of transfer of particles across the endothelium and between different endothelial and cancer cells.

T-CELL TREATMENTS FOR SOLID AND HEMATOLOGICAL TUMORS

Cell-based therapies have demonstrated potency and efficacy as cancer treatment modalities. T cells can be dichotomized by their T cell receptor (TCR) complexes where alpha/beta T cells (95% of T cells) and gamma/delta T cells (+T cells proliferated to clinically significant numbers and ROR1+ tumor cells were effectively targeted and killed by both ROR1-specific CAR+ T cell populations, although ROR1RCD137 were superior to ROR1RCD28 in clearance of leukemia xenografts in vivo. The second specific aim focused on generating bi-specific CD19-specific CAR+ gamma/delta T cells with polyclonal TCRgamma/delta repertoire on CD19+ artificial antigen presenting cells (aAPC). Enhanced cytolysis of CD19+ leukemia was observed by CAR+ gamma/delta T cells compared to CARneg gamma/delta T cells, and leukemia xenografts were significantly reduced compared to control mice in vivo. The third specific aim looked at the broad anti-tumor effects of polyclonal gamma/delta T cells expanded on aAPC without CAR+ T cells, where Vdelta1, Vdelta2, and Vdelta3 populations had naïve, effector memory, and central memory phenotypes and effector function strength in the following order: Vdelta2>Vdelta3>Vdelta1. Polyclonal gamma/delta T cells eliminated ovarian cancer xenografts in vivo and increased survival compared to control mice. Thus, translating these methodologies to clinical trials will provide cancer patients novel, safe, and effective options for their treatment.

Development of HIF-1α/HIF-1β heterodimerization inhibitors using a novel bioluminescence reporter assay system for in vitro high throughput screening and in vivo imaging

Tumor growth often outpaces its vascularization, leading to development of a hypoxic tumor microenvironment. In response, an intracellular hypoxia survival pathway is initiated by heterodimerization of hypoxia-inducible factor (HIF)-1α and HIF-1β, which subsequently upregulates the expression of several hypoxia-inducible genes, promotes cell survival and stimulates angiogenesis in the oxygen-deprived environment. Hypoxic tumor regions are often associated with resistance to various classes of radio- or chemotherapeutic agents. Therefore, development of HIF-1α/β heterodimerization inhibitors may provide a novel approach to anti-cancer therapy. To this end, a novel approach for imaging HIF-1α/β heterodimerization in vitro and in vivo was developed in this study. Using this screening platform, we identified a promising lead candidate and further chemically derivatized the lead candidate to assess the structure-activity relationship (SAR). The most effective first generation drug inhibitors were selected and their pharmacodynamics and anti-tumor efficacy in vivo were verified by bioluminescence imaging (BLI) of HIF-1α/β heterodimerization in the xenograft tumor model. Furthermore, the first generation drug inhibitors, M-TMCP and D-TMCP, demonstrated efficacy as monotherapies, resulting in tumor growth inhibition via disruption of HIF-1 signaling-mediated tumor stromal neoangiogenesis.

RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION

My dissertation focuses on two aspects of RNA sequencing technology. The first is the methodology for modeling the overdispersion inherent in RNA-seq data for differential expression analysis. This aspect is addressed in three sections. The second aspect is the application of RNA-seq data to identify the CpG island methylator phenotype (CIMP) by integrating datasets of mRNA expression level and DNA methylation status. Section 1: The cost of DNA sequencing has reduced dramatically in the past decade. Consequently, genomic research increasingly depends on sequencing technology. However it remains elusive how the sequencing capacity influences the accuracy of mRNA expression measurement. We observe that accuracy improves along with the increasing sequencing depth. To model the overdispersion, we use the beta-binomial distribution with a new parameter indicating the dependency between overdispersion and sequencing depth. Our modified beta-binomial model performs better than the binomial or the pure beta-binomial model with a lower false discovery rate. Section 2: Although a number of methods have been proposed in order to accurately analyze differential RNA expression on the gene level, modeling on the base pair level is required. Here, we find that the overdispersion rate decreases as the sequencing depth increases on the base pair level. Also, we propose four models and compare them with each other. As expected, our beta binomial model with a dynamic overdispersion rate is shown to be superior. Section 3: We investigate biases in RNA-seq by exploring the measurement of the external control, spike-in RNA. This study is based on two datasets with spike-in controls obtained from a recent study. We observe an undiscovered bias in the measurement of the spike-in transcripts that arises from the influence of the sample transcripts in RNA-seq. Also, we find that this influence is related to the local sequence of the random hexamer that is used in priming. We suggest a model of the inequality between samples and to correct this type of bias. Section 4: The expression of a gene can be turned off when its promoter is highly methylated. Several studies have reported that a clear threshold effect exists in gene silencing that is mediated by DNA methylation. It is reasonable to assume the thresholds are specific for each gene. It is also intriguing to investigate genes that are largely controlled by DNA methylation. These genes are called “L-shaped” genes. We develop a method to determine the DNA methylation threshold and identify a new CIMP of BRCA. In conclusion, we provide a detailed understanding of the relationship between the overdispersion rate and sequencing depth. And we reveal a new bias in RNA-seq and provide a detailed understanding of the relationship between this new bias and the local sequence. Also we develop a powerful method to dichotomize methylation status and consequently we identify a new CIMP of breast cancer with a distinct classification of molecular characteristics and clinical features.

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.

Characterization of Jak, STAT, and Src interactions in Head and Neck Squamous Cell Carcinoma

Recurrence of Head and Neck Squamous Cell Carcinoma (HNSCC) is common; thus, it is essential to improve the effectiveness and reduce toxicity of current treatments. Proteins in the Src/Jak/STAT pathway represent potential therapeutic targets, as this pathway is hyperactive in HNSCC and it has roles in cell migration, metastasis, proliferation, survival, and angiogenesis. During short-term Src inhibition, Janus kinase (Jak) 2, and signal transducer and activator of transcription (STAT) 3 and STAT5 are dephosphorylated and inactivated. Following sustained Src inhibition, STAT5 remains inactive, but Jak2 and STAT3 are reactivated following their early inhibition. To further characterize the mechanism of this novel feedback pathway we performed several experiments to look at the interactions between Src, Jak2, STAT5 and STAT3. We attempted to develop a non-radioactive kinase assay using purified recombinant Jak2 and Src proteins, but found that phospho-tyrosine antibodies were non-specifically binding to purified recombinant proteins. We then performed in vitro kinase assays (IVKAs) using purified recombinant Jak2, Src, STAT3, and STAT5 proteins with and without Src and Jak2 pharmacologic inhibitors. We also examined the interactions of these proteins in intact HNSCC cells. We found that recombinant Jak2, STAT3, and STAT5 are direct substrates of Src and that recombinant Src, STAT3, and STAT5 are direct substrates of Jak2 in the IVKA. To our knowledge, the finding that Src is a Jak substrate is novel and has not been shown before. In intact HNSCC cells we find that STAT3 can be reactivated despite continuous Src inhibition and that STAT5 continues to be inhibited despite Jak2 reactivation. Also, Jak2 inhibition did not affect Src or STAT5 activity but it did cause STAT3 inhibition. We hypothesized that the differences between the intact cells and the IVKA assays were due to a potential need for binding partners in intact HNSCC cells. One potential binding partner that we examined is the epidermal growth factor receptor (EGFR). We found that EGFR activation caused increased activation of Src and STAT5 but not Jak2. Our results demonstrate that although STAT3 and STAT5 are capable of being Src and Jak2 substrates, in intact HNSCC cells Src predominantly regulates STAT5 and Jak2 regulates STAT3. Regulation of STAT5 by Src may involve interactions between Src and EGFR. This knowledge along with future studies will better define the mechanisms of STAT regulation in HNSCC cells and ultimately result in an ideal combination of therapeutic agents for HNSCC.

The Role of K63-linked Ubiquitination Cycles in Akt Kinase Activation

Akt (also known as protein kinase B) serves a central regulator in PI3K/Akt signaling pathways to regulate numerous physiological functions including cell proliferation, survival and metabolism. Akt activation requires the binding of Akt to phospholipid PIP3 on the plasma membrane and subsequent phosphorylation of Akt by its kinases. Growth factor-mediated membrane recruitment of Akt is a crucial step for Akt activation. However, the mechanism of Akt membrane translocation is unclear. Protein ubiquitination is a significant posttranslational modification that controls many biological functions such as protein trafficking and signaling activation. Therefore, we hypothesize that ubiquitination may be involved in Akt signaling activation. We have demonstrated that Akt could be conjugated with non-proteolytic K63-linked ubiquitination by TRAF6 ubiquitin E3 ligase. This modification on Akt was required for membrane recruitment, phosphorylation and activation of Akt in response to growth factor stimulation. The human cancer-associated Akt E17K mutant exhibited an increase in K63-linked ubiquitination, which contributes to the enrichment of membrane recruitment and phosphorylation of Akt. Thus, we conclude that K63-linked ubiquitination is a critical step for oncogenic Akt activation and also involved in human cancer development. Notably, the process of protein ubiquitination can be reversed by deubiquitinating enzymes (DUBs), which play a critical role to terminate signaling activation induced by ubiquitination. To further investigate how ubiquitination cycles regulate Akt activation, we have identified that CYLD as a DUB for Akt, and CYLD inhibited growth factor-induced ubiquitination and activation of Akt. Under serum-depletion condition, CYLD interacts with Akt and keep Akt under inactive state by directly removing K63-linked ubiquitination of Akt. CYLD disassociates with Akt upon growth factor stimulation, thereby allowing E3 ligases to induce ubiquitination and activation of Akt. We also demonstrated that CYLD deficiency promoted cancer cell proliferation, survival, glucose metabolism and human prostate cancer development. Therefore, we conclude that CYLD plays a critical role for negatively regulating Akt signaling activation through deubiquitination of Akt. In summary, this study delineated the important mechanism of cycles of ubiquitination and deubiquitination of Akt in regulating membrane translocation and activation of Akt, and TRAF6 and CYLD as central switches for these processes.

Cancer screening behaviors among Asian Americans in Houston, Texas

Background: Cancer is the second-leading cause of death in the United States, and Asian Americans/Pacific Islanders are the only racial/ethnic group for which cancer is the leading cause of death. Regular cancer screenings help to identify precancerous lesions and cancer at an earlier stage, when the cancer is more treatable. Ethnic disparities in participation in cancer screenings are also striking, and evidence indicates that Asian Americans may have lower rates of cancer screening participation than other racial/ethnic groups. The Health of Houston Survey 2010 (HHS 2010) is an address-based survey, administered via telephone, website, and mail, of over 5,000 respondents in Houston and Harris County that provides recent data on the health status and needs of the Houston community. HHS 2010 researchers oversampled for Asians and Vietnamese Americans in order to obtain a sample size large enough to obtain statistical power. This dataset provides a unique opportunity to examine the cancer screening behaviors and predictors of Vietnamese and Chinese Americans living in Houston, Texas.^ Methods: This study was a secondary data analysis of HHS 2010 data. The data were analyzed to compare the breast, cervical, and colorectal cancer screening compliance rates of Vietnamese and Chinese Americans with other racial/ethnic groups in Houston, Texas. Key predictors of participation and barriers to cancer screening were identified.^ Results: The results of this study indicate that in Houston, Vietnamese Americans and Asian Americans as a whole have strikingly lower rates of participation in cancer screenings compared to other ethnic groups. Chinese Americans had the highest rate of noncompliance for mammography of all ethnic groups; Asian Americans and Vietnamese Americans also had high rates of noncompliance. Similarly, Vietnamese and Asian Americans had high rates of noncompliance with colorectal cancer screening recommendations. Importantly, Vietnamese, Chinese, and Asian Americans had by far the worst pap test participation, with noncompliance rates more than double that of all other racial/ethnic groups. In general, the findings indicated several key predictors in cancer screening behaviors, including English language proficiency, years lived in the United States, health insurance, college education, and income; however, the significance and patterns of these variables varied by ethnic group as well as cancer site.^ Conclusions: This secondary analysis highlights the disparities in cancer screening participation among Vietnamese, Chinese, and Asian Americans in Houston, Texas and indicate the need to identify Asian Americans as a high-risk group in need of health promotion attention. Barriers to screening and educational needs appear to be specific to each target ethnic group. Thus, health educators and health professionals in Houston must focus on the specific educational needs of the key ethnic groups that make up the Houston population. Further, more ethnic-specific research is needed to examine the health behaviors and needs of Houston's Asian American subgroups.^