Preexisting BCG-specific T cells improve intravesical immunotherapy for bladder cancer

Therapeutic intravesical instillation of bacillus Calmette-Guérin (BCG) is effective at triggering inflammation and eliciting successful tumor immunity in patients with non-muscle invasive bladder cancer, with 50 to 70% clinical response. Therapeutic success relies on repeated instillations of live BCG administered as adjuvant therapy shortly after tumor resection; however, the precise mechanisms remain unclear. Using an experimental model, we demonstrate that after a single instillation, BCG could disseminate to bladder draining lymph nodes and prime interferon-γ-producing T cells. Nonetheless, repeated instillations with live BCG were necessary for a robust T cell infiltration into the bladder. Parenteral exposure to BCG before instillation overcame this requirement; after the first intravesical instillation, BCG triggered a more robust acute inflammatory process and accelerated T cell entry into the bladder, as compared to the standard protocol. Moreover, parenteral exposure to BCG before intravesical treatment of an orthotopic tumor markedly improved response to therapy. Indeed, patients with sustained preexisting immunity to BCG showed a significant improvement in recurrence-free survival. Together, these data suggest that monitoring patients' response to purified protein derivative, and, in their absence, boosting BCG responses by parenteral exposure before intravesical treatment initiation, may be a safe and effective means of improving intravesical BCG-induced clinical responses.

Non-AIDS defining cancers in the D:A:D Study - time trends and predictors of survival: a cohort study

Background Non-AIDS defining cancers (NADC) are an important cause of morbidity and mortality in HIV-positive individuals. Using data from a large international cohort of HIV-positive individuals, we described the incidence of NADC from 2004–2010, and described subsequent mortality and predictors of these. Methods Individuals were followed from 1st January 2004/enrolment in study, until the earliest of a new NADC, 1st February 2010, death or six months after the patient’s last visit. Incidence rates were estimated for each year of follow-up, overall and stratified by gender, age and mode of HIV acquisition. Cumulative risk of mortality following NADC diagnosis was summarised using Kaplan-Meier methods, with follow-up for these analyses from the date of NADC diagnosis until the patient’s death, 1st February 2010 or 6 months after the patient’s last visit. Factors associated with mortality following NADC diagnosis were identified using multivariable Cox proportional hazards regression. Results Over 176,775 person-years (PY), 880 (2.1%) patients developed a new NADC (incidence: 4.98/1000PY [95% confidence interval 4.65, 5.31]). Over a third of these patients (327, 37.2%) had died by 1st February 2010. Time trends for lung cancer, anal cancer and Hodgkin’s lymphoma were broadly consistent. Kaplan-Meier cumulative mortality estimates at 1, 3 and 5 years after NADC diagnosis were 28.2% [95% CI 25.1-31.2], 42.0% [38.2-45.8] and 47.3% [42.4-52.2], respectively. Significant predictors of poorer survival after diagnosis of NADC were lung cancer (compared to other cancer types), male gender, non-white ethnicity, and smoking status. Later year of diagnosis and higher CD4 count at NADC diagnosis were associated with improved survival. The incidence of NADC remained stable over the period 2004–2010 in this large observational cohort. Conclusions The prognosis after diagnosis of NADC, in particular lung cancer and disseminated cancer, is poor but has improved somewhat over time. Modifiable risk factors, such as smoking and low CD4 counts, were associated with mortality following a diagnosis of NADC.

LOSS OF GPRC5A ENHANCES SURVIVAL IN NORMAL AND MALIGNANT LUNG EPITHELIAL CELLS BY ELICITING PERSISTENT STAT3 ACTIVATION INDUCED BY AUTOCRINE LIF

Signal transduction and activator of transcription 3 (Stat3) is activated by cytokines and growth factors in many cancers. Persistent activation of Stat3 plays important role in cell growth, survival, and transformation through regulating its targeted genes. Previously, we found that mice with a deletion of the G protein-coupled receptor, family C, group 5, member a (Gprc5a) gene develop lung tumors indicating that Gprc5a is a tumor suppressor. In the present study, we examined he mechanism of Gprc5a-mediated tumor suppression. We found that epithelial cells from Gprc5a knockout mouse lung (Gprc5a-/- cells) survive better in vitro in medium deprived of exogenous growth factors and form more colonies in semi-solid medium than their counterparts from wildtype mice (Gprc5a+/+ cells). The phosphorylation of tyrosine 705 on Stat3 and the expression of Stat3-regulated anti-apoptotic genes Bcl-XL, Cryab, Hapa1a, and Mcl1 were higher in the Gprc5a-/- than in Gprc5a+/+ cells. In addition, their responses to Lif were different; Stat3 activation was persistent by Lif treatment in the Gprc5a-/- cells, but was transient in the Gprc5a+/+ cells. The persistent activation of Stat3 by Lif in Gprc5a-/- cells is due to a decreased level of Socs3 protein, a negative inhibitor of the Lif-Stat3 signaling. Restoration of Socs3 inhibited the persistent Stat3 activation in Gprc5a-/- cells. Lung adenocarcinoma cells isolated from Gprc5a-/- mice also exhibited autocrine Lif-mediated Stat3 activation. Treatment of Gprc5a-/- cells isolated from normal and tumor tissue with AG490, a Stat3 signaling inhibitor, or with dominant negative Stat3(Y705F) increased starvation-induced apoptosis and inhibited anchorage-independent growth. These results suggest that persistent Stat3 activation increased the survival and transformation of Gprc5a-/- lung cells. Thus, the tumor suppressive effects of Gprc5a are mediated, at least in part, by inhibition of Stat3 signaling through regulating the stability of the Socs3 protein.

Understanding acquired resistance to Lapatinib in breast cancer cells

Signaling through epidermal growth factor receptor (EGFR/ErbB) family members plays a very important role in regulating proliferation, development, and malignant transformation of mammary epithelial cells. ErbB family members are often over-expressed in human breast carcinomas. Lapatinib is an ErbB1 and ErbB2 tyrosine kinase inhibitor that has been shown to have anti-proliferative effects in breast and lung cancer cells. Cells treated with Lapatinib undergo G1 phase arrest, followed by apoptosis. Lapatinib has been approved for clinical use, though patients have developed resistance to the drug, as seen previously with other EGFR inhibitors. Moreover, the therapeutic efficacy varies significantly within the patient population, and the mechanism of drug sensitivity is not fully understood. Expression levels of ErbB2 are used as a prognostic marker for Lapatinib response; however, even among breast tumor cell lines that express similar levels of ErbB2 there is marked difference in their proliferative responses to Lapatinib. To understand the mechanisms of acquired resistance, we established a cell line SkBr3-R that is resistant to Lapatinib, from a Lapatinib-sensitive breast tumor cell line, SkBr3. We have characterized the cell lines and demonstrated that Lapatinib resistance in our system is not facilitated by receptor-level activity or by previously known mutations in the ErbB receptors. Significant changes were observed in cell proliferation, cell migration, cell cycle and cell death between the Lapatinib resistant SkBr3-R and sensitive SkBr3 cell lines. Recent studies have suggested STAT3 is upregulated in Lapatinib resistant tumors in association with ErbB signaling. We investigated the role that STAT3 may play in Lapatinib resistance and discovered higher STAT3 activity in these resistant cells. In addition, transcriptional profiling indicated higher expression of STAT3 target genes, as well as of other genes that promote survival. The gene array data also revealed cell cycle regulators and cell adhesion/junction component genes as possible mediator of Lapatinib resistance. Altogether, this study has identified several possible mechanisms of Lapatinib resistance.

Desmoplastic small round cell tumor: A rare cause of a progressive brachial plexopathy.

Introduction: Desmoplastic small round cell tumor (DSRCT) is an uncommon, embryonic-type neoplasm, typically presenting as an abdominal mass in young men. A single case of DSRCT arising in the peripheral nervous system has been reported. Methods: The clinical course, imaging, electrophysiological, intraoperative, histopathological, molecular findings, and postoperative follow-up are reported. Results: A 43-year-old man presented with slowly progressive right brachial plexopathy. Magnetic resonance imaging revealed an enlarged medial cord with heterogeneous contrast enhancement. Histology showed a "small round cell" neoplasm with a polyphenotypic immunoprofile, including epithelial and mesenchymal markers. A pathognomonic fusion of Ewing sarcoma breakpoint region 1 and Wilms tumor 1 genes (EWSR1/WT1) was present. Treatment involved gross total excision and local radiotherapy. Conclusion: Our findings confirm the occurrence of DSRCT as a primary peripheral nerve tumor. Despite its usually very aggressive clinical course, prolonged recurrence-free survival may be reached. Histomorphology and immunoprofile of DSRCT may lead to misdiagnosis as small cell carcinoma. © 2013 Wiley Periodicals, Inc.

Effect of indomethacin on bile acid-phospholipid interactions: implication for small intestinal injury induced by nonsteroidal anti-inflammatory drugs.

The injurious effect of nonsteroidal anti-inflammatory drugs (NSAIDs) in the small intestine was not appreciated until the widespread use of capsule endoscopy. Animal studies found that NSAID-induced small intestinal injury depends on the ability of these drugs to be secreted into the bile. Because the individual toxicity of amphiphilic bile acids and NSAIDs directly correlates with their interactions with phospholipid membranes, we propose that the presence of both NSAIDs and bile acids alters their individual physicochemical properties and enhances the disruptive effect on cell membranes and overall cytotoxicity. We utilized in vitro gastric AGS and intestinal IEC-6 cells and found that combinations of bile acid, deoxycholic acid (DC), taurodeoxycholic acid, glycodeoxycholic acid, and the NSAID indomethacin (Indo) significantly increased cell plasma membrane permeability and became more cytotoxic than these agents alone. We confirmed this finding by measuring liposome permeability and intramembrane packing in synthetic model membranes exposed to DC, Indo, or combinations of both agents. By measuring physicochemical parameters, such as fluorescence resonance energy transfer and membrane surface charge, we found that Indo associated with phosphatidylcholine and promoted the molecular aggregation of DC and potential formation of larger and isolated bile acid complexes within either biomembranes or bile acid-lipid mixed micelles, which leads to membrane disruption. In this study, we demonstrated increased cytotoxicity of combinations of bile acid and NSAID and provided a molecular mechanism for the observed toxicity. This mechanism potentially contributes to the NSAID-induced injury in the small bowel.

A quality of life subscale for terminally ill cancer patients

A subscale was developed to assess the quality of life of cancer patients with a life expectancy of six months or less. Phase I of this study identified the major concerns of 74 terminally ill cancer patients (19 with breast cancer, 19 with lung cancer, 18 with colorectal cancer, 9 with renal cell cancer, 9 with prostate cancer), 39 family caregivers, and 20 health care professionals. Patients interviewed were being treated at the University of Texas M. D. Anderson Cancer Center or at the Hospice at the Texas Medical Center in Houston. In Phase II, 120 patients (30 with breast cancer, 30 with lung cancer, 30 with colorectal cancer, 15 with prostate cancer, and 15 with renal cell cancer) rated the importance of these concerns for quality of life. Items retained for the subscale were rated as "extremely important" or "very important" by at least 60% of the sample and were reported as being applicable by at least two-thirds of the sample. The 61 concerns that were identified were formatted as a questionnaire for Phase III. In Phase III, 356 patients (89 with breast cancer, 88 with lung cancer, 88 with colorectal cancer, 44 with prostate cancer, and 47 with renal cell cancer) were interviewed to determine the subscale's reliability and sensitivity to change in clinical status. Both factor analysis and item response theory supported the inclusion of the same 35 items for the subscale. Internal consistency reliability was moderate to high for the subscale's domains: spiritual (0.87), existential (0.76), medical care (0.68), symptoms (0.67), social/family (0.66), and emotional (0.61). Test-retest correlation coefficients also were high for the domains: social/family (0.86), emotional (0.83), medical care (0.83), spiritual (0.75), existential (0.75), and symptoms (0.81).^ In addition, concurrent validity was supported by the high correlation between the subscale's symptom domain and symptom items from the European Organization for Research and Treatment of Cancer (EORTC) scale (r = 0.74). Patients' functional status was assessed with the Eastern Cooperative Oncology Group (ECOG) Performance status rating. When ECOG categories were compared to subscale domains, patients who scored lower in functional status had lower scores in the spiritual, existential, social/family, and emotional domains. Patients who scored lower in physical well-being had higher scores in the symptom domain. Patient scores in the medical care domain were similar for each ECOG category. The results of this study support the subscale's use in assessing quality of life and the outcomes of palliative treatment for cancer patients in their last six months of life. ^

Bacillus Calmette-Guérin strain differences have an impact on clinical outcome in bladder cancer immunotherapy

BACKGROUND Whether the commonly used bacillus Calmette-Guérin (BCG) strains Connaught and Tice confer different treatment responses in non-muscle-invasive bladder cancer (NMIBC) is unknown. OBJECTIVES To compare clinical efficacy, immunogenicity, and genetics of BCG Connaught and Tice. DESIGN, SETTING, AND PARTICIPANTS A prospective randomized single-institution trial with treatment of 142 high-risk NMIBC patients with BCG Connaught or Tice. INTERVENTION Patients were randomized to receive six instillations of BCG Connaught or Tice. For experimental studies, BCG strains were compared in C57Bl/6 mice. Bladders and lymphoid tissues were analyzed by cytometry and the latter cultivated to detect live BCG. BCG genomic DNA was sequenced and compared with reference genomes. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS Recurrence-free survival was the primary end point of the clinical study. The Kaplan-Meier estimator was used for estimating survival and time-to-event end points. Nonparametric tests served for the analysis of the in vivo results. RESULTS AND LIMITATIONS Treatment with BCG Connaught conferred significantly greater 5-yr recurrence-free survival compared with treatment with BCG Tice (p=0.0108). Comparable numbers of patients experienced BCG therapy-related side effects in each treatment group (p=0.09). In mice, BCG Connaught induced stronger T-helper cell 1-biased responses, greater priming of BCG-specific CD8(+) T cells, and more robust T-cell recruitment to the bladder than BCG Tice. Genome sequencing of the BCG strains revealed candidate genes potentially involved in the differential clinical responses. CONCLUSIONS BCG strain may have an impact on treatment outcome in NMIBC immunotherapy. PATIENT SUMMARY We compared the efficacy of two commonly used bacillus Calmette-Guérin (BCG) strains for the treatment of NMIBC and found that treatment with BCG Connaught prevented recurrences more efficiently than BCG Tice. Comparison of the immunogenicity of the two strains in mice indicated superior immunogenicity of BCG Connaught. We also identified genetic differences that may explain the differential efficacy of the Connaught and Tice BCG strains. TRIAL REGISTRATION NCT00003779.

Is preoperative chemotherapy followed by surgery the appropriate treatment for signet ring cell containing adenocarcinomas of the esophagogastric junction and stomach?

BACKGROUND Recent data suggest primary resection as the preferable approach in patients with signet ring cell gastric cancer (SRC). The aim of our retrospective exploratory study was to evaluate the influence of SRC on prognosis and response in esophagogastric adenocarcinoma treated with neoadjuvant chemotherapy. METHODS A total of 723 locally advanced esophagogastric adenocarcinomas (cT3/4 N any) documented in a prospective database from two academic centers were classified according to the WHO definition for SRC (more than 50 % SRC) and analyzed for their association with response and prognosis after neoadjuvant treatment. RESULTS A total of 235 tumors (32.5 %) contained SRC. Median survival of SRC was 26.3 compared with 46.6 months (p < 0.001) for non-SRC. SRC were significantly associated with female gender, gastric localization, advanced ypT and R1/2 categories, and lower risk of surgical complications and anastomotic leakage (each p < 0.001). Clinical (21.1 vs. 33.7 %, p = 0.001) and histopathological response (less than 10 % residual tumor: 16.3 vs. 28.9 %, p < 0.001) were significantly less frequent in SRC. Clinical response (p = 0.003) and complete histopathological response (pCR) (3.4 %) (p = 0.003) were associated with improved prognosis in SRC. Clinical response, surgical complications, ypTN categories, but not SRC were independent prognostic factors in forward Cox regression analysis in R0 resected patients. Risk of peritoneal carcinomatosis was increased (p < 0.001), while local (p = 0.015) and distant metastases (p = 0.02) were less frequent than in non-SRC. CONCLUSIONS Prognosis of SRC is unfavorable. Although response to neoadjuvant chemotherapy is rare in SRC, it is associated with improved outcome. Thus, chemotherapy might not generally be abandoned in SRC. A stratification based on SRC should be included in clinical trials.

Reliable LC3 and p62 autophagy marker detection in formalin fixed paraffin embedded human tissue by immunohistochemistry

Autophagy assures cellular homeostasis, and gains increasing importance in cancer, where it impacts on carcinogenesis, propagation of the malignant phenotype and development of resistance. To date, its tissue-based analysis by immunohistochemistry remains poorly standardized. Here we show the feasibility of specifically and reliably assessing the autophagy markers LC3B and p62 (SQSTM1) in formalin fixed and paraffin embedded human tissue by immunohistochemistry. Preceding functional experiments consisted of depleting LC3B and p62 in H1299 lung cancer cells with subsequent induction of autophagy. Western blot and immunofluorescence validated antibody specificity, knockdown efficiency and autophagy induction prior to fixation in formalin and embedding in paraffin. LC3B and p62 antibodies were validated on formalin fixed and paraffin embedded cell pellets of treated and control cells and finally applied on a tissue microarray with 80 human malignant and non-neoplastic lung and stomach formalin fixed and paraffin embedded tissue samples. Dot-like staining of various degrees was observed in cell pellets and 18/40 (LC3B) and 22/40 (p62) tumors, respectively. Seventeen tumors were double positive for LC3B and p62. P62 displayed additional significant cytoplasmic and nuclear staining of unknown significance. Interobserver-agreement for grading of staining intensities and patterns was substantial to excellent (kappa values 0.60 - 0.83). In summary, we present a specific and reliable IHC staining of LC3B and p62 on formalin fixed and paraffin embedded human tissue. Our presented protocol is designed to aid reliable investigation of dysregulated autophagy in solid tumors and may be used on large tissue collectives.

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.^

Targeting TRAF6 for Cancer Therapeutical Development

Tumor necrosis factor (TNF)-Receptor Associated Factors (TRAFs) are a family of signal transducer proteins. TRAF6 is a unique member of this family in that it is involved in not only the TNF superfamily, but the toll-like receptor (TLR)/IL-1R (TIR) superfamily. The formation of the complex consisting of Receptor Activator of Nuclear Factor κ B (RANK), with its ligand (RANKL) results in the recruitment of TRAF6, which activates NF-κB, JNK and MAP kinase pathways. TRAF6 is critical in signaling with leading to release of various growth factors in bone, and promotes osteoclastogenesis. TRAF6 has also been implicated as an oncogene in lung cancer and as a target in multiple myeloma. In the hopes of developing small molecule inhibitors of the TRAF6-RANK interaction, multiple steps were carried out. Computational prediction of hot spot residues on the protein-protein interaction of TRAF6 and RANK were examined. Three methods were used: Robetta, KFC2, and HotPoint, each of which uses a different methodology to determine if a residue is a hot spot. These hot spot predictions were considered the basis for resolving the binding site for in silico high-throughput screening using GOLD and the MyriaScreen database of drug/lead-like compounds. Computationally intensive molecular dynamics simulations highlighted the binding mechanism and TRAF6 structural changes upon hit binding. Compounds identified as hits were verified using a GST-pull down assay, comparing inhibition to a RANK decoy peptide. Since many drugs fail due to lack of efficacy and toxicity, predictive models for the evaluation of the LD50 and bioavailability of our TRAF6 hits, and these models can be used towards other drugs and small molecule therapeutics as well. Datasets of compounds and their corresponding bioavailability and LD50 values were curated based, and QSAR models were built using molecular descriptors of these compounds using the k-nearest neighbor (k-NN) method, and quality of these models were cross-validated.

Genetic variants within the Wnt/ B-catenin signaling pathway as indicators of bladder cancer clinical outcomes

The genetic factors that influence bladder cancer clinical outcomes are largely unknown. In this clinical outcomes study, I assessed genetic variations in the Wnt/β-catenin stem-cell pathway genes for association with recurrence and progression. A total of 230 SNPS in 40 genes from the Wnt/β-catenin pathway were genotyped in 419 histologically confirmed non-muscle invasive bladder cancer cases. Several significant associations were observed in the clinical outcomes analysis. Under the dominant model WNT8B: rs4919464 (HR: 1.55, 95% CI: 1.17-2.06, P=2.2x10-3) and WNT8B: rs3793771 (HR: 1.54, 95% CI: 1.09-1.62, P=4.6x10-3 ) were statistically significantly associated with an increase risk of recurrence while two other variants, APC2: rs11668593 (HR: 2.50, 95% CI: 1.43-4.35, P=1.2x10-3) and LRP5 : rs312778 (HR: 1.81, 95% CI: 1.23-2.65, P=2.7x10-3), were significantly associated with recurrence risk under the recessive model of inheritance. Four SNPs in the recessive model were associated with an increased risk of progression (AXIN2: rs1544427, LRP5: rs312778, AXIN1: rs370681, AXIN1: rs2301522). LRP5: rs312778 had the most significant increased risk of progression with a 2.68 (95% CI: 1.52-4.72, P=6.4x10-4)-fold increased risk. Stratification analysis based on treatment regimen (transurethral resection (TUR) and Bacillus Calmette-Guérin (BCG)) was also performed. Individuals with at least one variant in AXIN2: rs2007085 were found to have a 2.09 (95% CI: 1.24-3.52, P=5.4x10-3) -fold increased risk of recurrence in those that received TUR only, and no statistically significant effect was seen in those that received BCG. Individuals who received TUR with at least one variant in LEF1: rs10516550 were found to have a 2.26 (95% CI: 1.22-4.18, P=9.7x10-3)-fold increase risk of recurrence and no statistically significant effect was found in individuals who received BCG. Also, the recessive model of LRP6: rs2302684 in TUR only treatment was shown to have a 1.95 (95%CI: 1.18-3.21, P=8.8x10 -3)-fold increased risk of recurrence, and a suggested protective effect associated with a (HR: 0.83, 95% CI: 0.51-1.37, P=0.468) decreased risk of recurrence. Together, these findings implicate the Wnt/β-catenin stem-cell pathway as playing a role in bladder cancer clinical outcomes and have important implications for personalization of future treatment regimens. ^

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.

Activation of matrix metalloproteinase -9 (MMP-9) by heregulin in human breast cancer cells involves multiple signaling pathways

Matrix metalloproteinase-9 (MMP-9) plays an important role in tumor invasion and angiogenesis. Secretion of MMP-9 has been reported in various cancer types including lung cancer, brain cancer, colon cancer, and breast cancer. Heregulin is a growth factor that regulates growth and differentiation of normal breast cells as well as mammary tumor cells. To study the role of heregulin in breast cancer metastasis, we tested whether heregulin may regulate MMP-9 secretion. By screening a panel of breast cancer cell line for their ability to respond to heregulin and produce MMP-9, we have found that MMP-9 secretion can be induced by heregulin-β1 in two breast cancer cell lines, SKBr3 and MCF-7. In both cell lines, increase of MMP-9 activity as shown by zymography was accompanied by increased protein level as well as mRNA level of MMP-9. Using a reporter luciferase assay, we have identified that proximal −670bp promoter of MMP-9 had similar activity to a 2.2kb MMP-9 promoter in response to heregulin stimulation. Heregulin treatment of SKBr3 and MCF-7 activated multiple signaling pathways inside cells. These include the Erk pathway, the p38 kinase pathway, PKC pathway, and PI-3K pathway. To examine which pathways are involved in MMP-9 activation by heregulin, we have used a panel of chemical inhibitors to specifically inhibit each one of these pathways. Ro-31-8220 (PKC inhibitor) and SB203580 (p38 kinase inhibitor) completely blocked heregulin activation of MMP-9. On the other hand, PD098059 (MEK-1 inhibitor) partially blocked MMP-9 activation, whereas PI-3K inhibitor, wortmannin, had no effect. Therefore, at least three signaling pathways are involved in activation of MMP-9 by heregulin. Since MMP-9 is tightly associated with metastatic potential, our study also suggests that heregulin may enhance breast tumor metastasis through induction of MMP-9 expression. ^