Investigation of the molecular mechanisms of endometrial hyperplasia

While there is considerable information on the molecular aberrations associated with the development of endometrial cancer, very little is known of changes in gene expression associated with its antecedent premalignant condition, endometrial hyperplasia. In order to address this, we have compared the level of expression of components of the IGF-I signaling pathway in human endometrial hyperplasia to their level of expression in both the normal pre-menopausal endometrium and endometrial carcinoma. We have also characterized the molecular characteristics of endometrial hyperplasia as it occurs in a murine model of hormone-dependent tumorigenesis of the female reproductive tract. ^ There was a significant and selective increase in the expression of the IGF-I Receptor (IGF-IR) in both human hyperplasia and carcinoma as compared to the normal endometrium. The receptor was also activated, as judged by increased tyrosine phosphorylation. In addition, in hyperplasia and carcinoma there is activation of the downstream component Akt. The expression of the PTEN tumor suppressor is decreased in a subset of subjects with hyperplasia and in all of the carcinomas. The simultaneous loss of PTEN expression and increased IGF-IR activation in the hyperplastic endometrium was associated with an increased incidence of endometrial carcinoma elsewhere within the uterus. In the rodent hyperplasia, there was a significant increase in the expression and activation of Akt that appears to be attributable to a marked increase in the expression of IGF-II. ^ Our studies have demonstrated the pathologic proliferation of both the human and rodent endometrium is linked to a marked activation of the Akt pathway. However the cause of this dysregulation is different in the human disease and the animal model. In rodents, hyperplasia is linked to increased expression of one of the ligands of the IGF-IR, IGF-II. In humans the IGF-I receptor itself is upregulated and activated. Additional activation of the Akt pathway via the suppression of PTEN activity, results in conditions that are associated with the marked increase in the probability of developing endometrial cancer. Our data suggests that increased activity of the IGF-I pathway plays the key role in the hyperproliferative state characteristic of endometrial hyperplasia and cancer.^

Significance of signal transducer and activator of transcription 3 during multistage mouse skin carcinogenesis

Signal transducer and activator of transcription 3 (Stat3) is a signaling molecule that transduces signal from cell surface receptors, itself translocates into the nucleus, binds to consensus promoter sequences and activates gene transcription. Here, we showed that Stat3 is constitutively activated in both premalignant tumors (papillomas) and squamous cell carcinomas of mouse skin that is induced by topical treatment with an initiator 7,12-dimethylbenz[a]anthracene (DMBA) followed by a tumor promoter 12-O-tetradecanoyl-phorbol-13-acetate (TPA). Additional data demonstrated that epidermal growth factor signaling contributes to the activation of Stat3 in this model. Using mice where Stat3 function is abrogated in keratinocytes via the Cre-LoxP system (K5Cre.Stat3 flox/flox), we demonstrated that Stat3 is required for de novo carcinogenesis since Stat3 deficiency leads to a complete abrogation of skin tumor development induced by DMBA and TPA. We subsequently showed that Stat3 plays a role in both the initiation and promotion stages of carcinogenesis. During initiation, Stat3 functions as an anti-apoptotic molecule for maintaining the survival of DNA-damaged keratinocyte stem cells. During promotion, Stat3 functions as a critical regulator for G1 to S phase cell cycle progression to confer selective clonal expansion of initiated cells into papillomas. On the other hand, using transgenic mice over-expressing a constitutively dimerized form of Stat3 (Stat3C) in keratinocytes (K5.Stat3C), we revealed a role for Stat3 in tumor progression. After treatment with DMBA and TPA, K5.Stat3C transgenic mice developed skin tumors with a shorter latency when 100% bypassed the premalignant stage and became carcinoma in situ. Histological and immunohistochemical analysis revealed these tumors as highly vascularized and poorly differentiated. More strikingly, these tumors exhibited invasion into surrounding mesenchymal tissue, some of which metastasized into lung. The tumor-mesenchymal front was characterized by partial loss of E-cadherin and elevation of vimentin, markers characterizing epithelial-mesenchymal transition. On the other hand, inhibition of Stat3 via a decoy oligonucleotide led to a significant reduction of tumor size in approximately 50% of all papillomas tested. In conclusion, we demonstrated that Stat3 plays a critical in all three stages (initiation, promotion and progression) of skin carcinogenesis, and it may potentially become a good target for cancer prevention and anti-cancer therapy. ^

Transcriptional upregulation of the p21Cip1 promoter by STAT3 and nuclear ErbB2

Over-expression of the receptor tyrosine kinase ErbB2 is prevalent in approximately 30% of human breast carcinomas and confers Taxol resistance. In breast cancer cells, Taxol induces tubulin polymerization and hyperstable microtubule formation. This in turn prematurely activates Cdc2 kinase allowing early entry into the G2/M phase of the cell cycle resultant in mitotic catastrophe followed by apoptosis. Over-expression of ErbB2 upregulates p21Cip1, which inhibits Cdc2 activation, and leads to Taxol resistance in patients. However, the mechanism of ErbB2-mediated p21 Cip1 upregulation is unclear. Here in this study, we investigated the mechanism of ErbB2 downstream signaling events leading to upregulation. The CDKN1A (p21Cip1) gene promoter contains numerous cis-elements including a Signal transducer and activator of transcription (STAT) Inducable Element (SIE) located at -679 kb. Our studies showed ErbB2 overexpressing cells had increased activated levels of STAT3, and therefore we hypothesized that STAT3 is responsible for the upregulation of the p21Cip1 promoter by ErbB2. EMSA and ChIP assays confirmed the binding of STAT3 to the p21Cip1 promoter and luciferase assays showed higher p21 Cip1 promoter activity in ErbB2 over-expressing transfectants when compared to parental cells, in a STAT3 binding site dependant manner. Additionally, reduced level of STAT3 led to reduced p21Cip1 protein expression and promoter activity indicating that both the STAT3 binding site and STAT3 protein are required for ErbB2-mediated p21Cip1 upregulation. Further investigation of ErbB2 downstream signaling showed increased Src kinase activity in ErbB2 over-expressing cells which was required for ErbB2-mediated STAT3 activation and p21Cip1 increase. Treatment of ErbB2 over-expressing resistant cells with STAT3 inhibitor peptides sensitized the cells to Taxol. In addition to classical signal transduction pathways, I identified a novel ErbB2 mediated regulatory mechanism of p21Cip1. I found that a nuclear ErbB2 and STAT3 complex binds directly to the p21Cip1 promoter offering a non-classical mechanism of p21Cip1 promoter regulation. These data suggest that ErbB2 over-expression can confer Taxol resistance of breast cancer cells by transcriptional upregulation of p21 Cip1 via activation of STAT3 by Src kinase and also by cooperation with nuclear ErbB2. The data suggest a potential clinical mechanism for STAT3 inhibitors in sensitizing ErbB2 over-expressing breast cancers to Taxol. ^

Preclinical modeling of multi-drug cancer therapies

Anticancer drugs typically are administered in the clinic in the form of mixtures, sometimes called combinations. Only in rare cases, however, are mixtures approved as drugs. Rather, research on mixtures tends to occur after single drugs have been approved. The goal of this research project was to develop modeling approaches that would encourage rational preclinical mixture design. To this end, a series of models were developed. First, several QSAR classification models were constructed to predict the cytotoxicity, oral clearance, and acute systemic toxicity of drugs. The QSAR models were applied to a set of over 115,000 natural compounds in order to identify promising ones for testing in mixtures. Second, an improved method was developed to assess synergistic, antagonistic, and additive effects between drugs in a mixture. This method, dubbed the MixLow method, is similar to the Median-Effect method, the de facto standard for assessing drug interactions. The primary difference between the two is that the MixLow method uses a nonlinear mixed-effects model to estimate parameters of concentration-effect curves, rather than an ordinary least squares procedure. Parameter estimators produced by the MixLow method were more precise than those produced by the Median-Effect Method, and coverage of Loewe index confidence intervals was superior. Third, a model was developed to predict drug interactions based on scores obtained from virtual docking experiments. This represents a novel approach for modeling drug mixtures and was more useful for the data modeled here than competing approaches. The model was applied to cytotoxicity data for 45 mixtures, each composed of up to 10 selected drugs. One drug, doxorubicin, was a standard chemotherapy agent and the others were well-known natural compounds including curcumin, EGCG, quercetin, and rhein. Predictions of synergism/antagonism were made for all possible fixed-ratio mixtures, cytotoxicities of the 10 best-scoring mixtures were tested, and drug interactions were assessed. Predicted and observed responses were highly correlated (r2 = 0.83). Results suggested that some mixtures allowed up to an 11-fold reduction of doxorubicin concentrations without sacrificing efficacy. Taken together, the models developed in this project present a general approach to rational design of mixtures during preclinical drug development. ^

Examination of the engraftment of exogenous mesenchymal stem cells in ovarian tumors and their potential use as delivery vehicles for therapeutic genes

Interactions between neoplastic cells and the host stroma play a role in both tumor cell migration and proliferation. Stromal cells provide structural support for malignant cells, modulate the tumor microenvironment, and influence phenotypic behavior as well as the aggressiveness of the malignancy. In response, the tumor provides growth factors, cytokines, and cellular signals that continually initiate new stromal reactions and recruit new cells into the microenvironment to further support tumor growth. Since growing tumors recruit local cells, as well as supplemental cells from the circulation, such as fibroblasts and endothelial precursors, the question arises if it would be possible to access circulating stromal cells to modify the tumor microenvironment for therapeutic benefits. One such cell type, mesenchymal stem cells (MSC), could theoretically be engrafted into stroma. MSC are pluripotent cells that have been shown to form stromal elements such as myofibroblasts, perivascular tissues and connective tissues. Several reports have demonstrated that MSC can incorporate into sites of wound healing and tissue repair, due to active tissue remodeling and local paracrine factors, and given the similarity between wound healing and the carcinoma induced stromal response one can hypothesize that MSC have the potential to be recruited to sites of tumor development. In addition, gene-modified MSC could be used as cellular vehicles to deliver gene products into tumors. My results indicate that MSC home to and participate in tumor stroma formation in ovarian tumor xenografts in mice. Additionally, once homed to tumor beds, MSC proliferate rapidly and integrate. My studies aim at understanding the fate of MSC in the tumor microenvironment, as well as utilizing them for cellular delivery of therapeutic genes into the stroma of ovarian carcinomas. ^

Modifier genes and susceptibility to colorectal cancer in individuals with Lynch syndrome

Lynch syndrome, is caused by inherited germ-line mutations in the DNA mismatch repair genes resulting in cancers at an early age, predominantly colorectal (CRC) and endometrial cancers. Though the median age at onset for CRC is about 45 years, disease penetrance varies suggesting that cancer susceptibility may be modified by environmental or other low-penetrance genes. Genetic variation due to polymorphisms in genes encoding metabolic enzymes can influence carcinogenesis by alterations in the expression and activity level of the enzymes. Variation in MTHFR, an important folate metabolizing enzyme can affect DNA methylation and DNA synthesis and variation in xenobiotic-metabolizing enzymes can affect the metabolism and clearance of carcinogens, thus modifying cancer risk. ^ This study examined a retrospective cohort of 257 individuals with Lynch syndrome, for polymorphisms in genes encoding xenobiotic-metabolizing enzymes-- CYP1A1 (I462V and MspI), EPHX1 (H139R and Y113H), GSTP1 (I105V and A114V), GSTM1 and GSTT1 (deletions) and folate metabolizing enzyme--MTHFR (C677T and A1298C). In addition, a series of 786 cases of sporadic CRC were genotyped for CYP1A1 I462V and EPHX1 Y113H to assess gene-gene interaction and gene-environment interaction with smoking in a case-only analysis. ^ Prominent findings of this study were that the presence of an MTHFR C677T variant allele was associated with a 4 year later age at onset for CRC on average and a reduced age-associated risk for developing CRC (Hazard ratio: 0.55; 95% confidence interval: 0.36–0.85) compared to the absence of any variant allele in individuals with Lynch syndrome. Similarly, Lynch syndrome individuals heterozygous for CYP1A1 I462V A>G polymorphism developed CRC an average of 4 years earlier and were at a 78% increased age-associated risk (Hazard ratio for AG relative to AA: 1.78; 95% confidence interval: 1.16-2.74) than those with the homozygous wild-type genotype. Therefore these two polymorphisms may be additional susceptibility factors for CRC in Lynch syndrome. In the case-only analysis, evidence of gene-gene interaction was seen between CYP1A1 I462V and EPHX1 Y113H and between EPHX1 Y113H and smoking suggesting that genetic and environmental factors may interact to increase sporadic CRC risk. Implications of these findings are the ability to identify subsets of high-risk individuals for targeted prevention and intervention. ^

Patient perceptions of balance in prostate cancer screening decision aids

Purpose. Recent reports reveals that studies of decision aids reported concern about the balance and accuracy of information included in decision aids. This study explores measures of balance in patient decision aids through a review of prostate cancer screening decision aid studies and analysis of patients’ rating of a patient decision aid for prostate cancer screening. ^ Methods. A data-abstraction form was used to collect the key characteristics, pertaining to balance, of studies included in the review. The key characteristics included (1) sample characteristics (age, race, family history of prostate cancer, and education), (2) description of the decision aid and how it was implemented, and (3) if a measure of balance was used for process evaluation and the rating. A summary table was used to report the findings. Deidentified data was received from a decision aid control trial and logistic regression analysis was used to test the association between the dependent variable (balance) and the independent variables (age, family history, race, screening preference at baseline, education, health insurance status). ^ Conclusion. Three sociodemographic variables remained significant in the final regression model: African American race, education and PSA history. Further research is needed to determine if these variables can predict a man’s perception of balance in prostate cancer screening decision aids. If a patient’s perceptions of balance can be predicted based on specific characteristics, patient report may not be the most objective method of evaluating the acceptability of a decision.^

Toxics Release Inventory facilities and childhood cancer: Geographic information systems based approach

Purpose. To examine the association between living in proximity to Toxics Release Inventory (TRI) facilities and the incidence of childhood cancer in the State of Texas. ^ Design. This is a secondary data analysis utilizing the publicly available Toxics release inventory (TRI), maintained by the U.S. Environmental protection agency that lists the facilities that release any of the 650 TRI chemicals. Total childhood cancer cases and childhood cancer rate (age 0-14 years) by county, for the years 1995-2003 were used from the Texas cancer registry, available at the Texas department of State Health Services website. Setting: This study was limited to the children population of the State of Texas. ^ Method. Analysis was done using Stata version 9 and SPSS version 15.0. Satscan was used for geographical spatial clustering of childhood cancer cases based on county centroids using the Poisson clustering algorithm which adjusts for population density. Pictorial maps were created using MapInfo professional version 8.0. ^ Results. One hundred and twenty five counties had no TRI facilities in their region, while 129 facilities had at least one TRI facility. An increasing trend for number of facilities and total disposal was observed except for the highest category based on cancer rate quartiles. Linear regression analysis using log transformation for number of facilities and total disposal in predicting cancer rates was computed, however both these variables were not found to be significant predictors. Seven significant geographical spatial clusters of counties for high childhood cancer rates (p<0.05) were indicated. Binomial logistic regression by categorizing the cancer rate in to two groups (<=150 and >150) indicated an odds ratio of 1.58 (CI 1.127, 2.222) for the natural log of number of facilities. ^ Conclusion. We have used a unique methodology by combining GIS and spatial clustering techniques with existing statistical approaches in examining the association between living in proximity to TRI facilities and the incidence of childhood cancer in the State of Texas. Although a concrete association was not indicated, further studies are required examining specific TRI chemicals. Use of this information can enable the researchers and public to identify potential concerns, gain a better understanding of potential risks, and work with industry and government to reduce toxic chemical use, disposal or other releases and the risks associated with them. TRI data, in conjunction with other information, can be used as a starting point in evaluating exposures and risks. ^

Gasoline and leukemia: A review

Gasoline is perhaps one of the most familiar substances to people in our society. Benzene is a component of gasoline and it is hemotoxic and carcinogenic at high concentrations. With increased governmental regulation of gasoline and benzene exposure, the hazardous effects of benzene on public health are very limited. As long as environmental conditions meet OSHA regulation standards, most individuals are not aware of the hazardous effect of benzene. However, recent studies have found that less than 1ppm benzene exposure which is below OSHA exposure regulatory standard may cause hematological damage. This paper reviews the relationship among gasoline-related work, daily life gasoline exposure, public health and new updated research in this field. We searched for relevant publications from 1966 through 2006 in three databases: Ovid Medline, PubMed and TOXNET. This review is a means toward educating people about exposure to benzene in different environments. Although government has developed good monitoring and prevention methods to decrease the harm from gasoline, we are aware that the problem is still there. The primary public health message is the benzene may cause hematological effects even at or below the U.S occupational standard of 1ppm.^

Bone marrow-derived stem/progenitor cells play an important role in the growth of Ewing's sarcoma tumors

Both angiogenesis and vasculogenesis contribute to the formation and expansion of tumor neovasculature. We demonstrated that bone marrow (BM)-derived cells migrated to TC71 Ewing's tumors and differentiated into endothelial cells lining perfused, functional tumor neovessels. In addition, a substantial fraction of recruited, BM-derived cells resided in the vessel vicinity but did not demonstrate endothelial differentiation. Rather, these perivascular cells expressed desmin and PDGFR-β, implying pericyte-like/vascular smooth muscle cell differentiation. No defined, consensus set of markers exists for endothelial progenitor cells (EPCs) and the specific subsets of BM cells that participate in vessel formation are poorly understood. We used a functional in vivo assay to investigate the roles performed by specific human- and murine-derived stem/progenitor subpopulations within Ewing's sarcoma tumors. CD34 +45+, CD34+38-, VEGFR2 + and Sca1+Gr1+ cells were demonstrated to establish residence within the expanding tumor vascular network and differentiate into endothelial cells and pericytes. By constrast, CD34-45 + and Sca1-Gr1+ cells predominantly localized to sites outside the Ewing's tumor vasculature, and differentiated into macrophages. Cytokines, such as VEGF, influence the recruitment of BM cells and their incorporation into the tumor vasculature. VEGF165-inhibited TC/siVEGF7-1 Ewing's tumors showed delayed in vivo tumor growth, decreased vessel density, and reduced infiltration of BM progenitor cells. We tested whether another chemoattractant, Stromal Cell-Derived Factor-1 (SDF-1), could augment the growth of these VEGF165-inhibited TC/siVEGF 7-1 tumors by enhancing the recruitment of BM cells and stimulating neovasculature expansion. SDF-1 promoted progenitor cell chemotaxis and retainment of BM-derived pericyte precursors in close association with functional, perfused tumor blood vessels. Treatment of TC/siVEGF7-1 tumors with adenovirus-SDF-1α resulted in augmented tumor size, enhanced pericyte coverage of tumor neovessels, remodeling of vascular endothelium into larger, functional structures, and upregulation of PDGF-BB, with no effect on VEGF165. Taken together, these findings suggest that the recruitment of BM stem/progenitor cells plays an important role in the growth of Ewing's tumors. ^

A coalescent analysis for modeling the mutation process in colorectal cancer

Colorectal cancer is the forth most common diagnosed cancer in the United States. Every year about a hundred forty-seven thousand people will be diagnosed with colorectal cancer and fifty-six thousand people lose their lives due to this disease. Most of the hereditary nonpolyposis colorectal cancer (HNPCC) and 12% of the sporadic colorectal cancer show microsatellite instability. Colorectal cancer is a multistep progressive disease. It starts from a mutation in a normal colorectal cell and grows into a clone of cells that further accumulates mutations and finally develops into a malignant tumor. In terms of molecular evolution, the process of colorectal tumor progression represents the acquisition of sequential mutations. ^ Clinical studies use biomarkers such as microsatellite or single nucleotide polymorphisms (SNPs) to study mutation frequencies in colorectal cancer. Microsatellite data obtained from single genome equivalent PCR or small pool PCR can be used to infer tumor progression. Since tumor progression is similar to population evolution, we used an approach known as coalescent, which is well established in population genetics, to analyze this type of data. Coalescent theory has been known to infer the sample's evolutionary path through the analysis of microsatellite data. ^ The simulation results indicate that the constant population size pattern and the rapid tumor growth pattern have different genetic polymorphic patterns. The simulation results were compared with experimental data collected from HNPCC patients. The preliminary result shows the mutation rate in 6 HNPCC patients range from 0.001 to 0.01. The patients' polymorphic patterns are similar to the constant population size pattern which implies the tumor progression is through multilineage persistence instead of clonal sequential evolution. The results should be further verified using a larger dataset. ^

Development and preliminary validation of the cancer family impact scale for colorectal cancer

This study aimed to develop and validate The Cancer Family Impact Scale (CFIS), an instrument for use in studies investigating relationships among family factors and colorectal cancer (CRC) screening when family history is a risk factor. We used existing data to develop the measure from 1,285 participants (637 families) across the United States who were in the Johns Hopkins Colon Cancer Genetic Testing study. Participants were 94% white with an average age of 50.1 years, and 60% were women. None had a personal CRC history, and eighty percent had 1 FDR with CRC and 20% had more than one FDR with CRC. The study had three aims: (1) to identify the latent factors underlying the CFIS via exploratory factor analysis (EFA); (2) to confirm the findings of the EFA via confirmatory factor analysis (CFA); and (3) to assess the reliability of the scale via Cronbach's alpha. Exploratory analyses were performed on a split half of the sample, and the final model was confirmed on the other half. The EFA suggested the CFIS was an 18-item measure with 5 latent constructs: (1) NEGATIVE: negative effects of cancer on the family; (2) POSITIVE: positive effects of cancer on the family; (3) COMMUNICATE: how families communicate about cancer; (4) FLOW: how information about cancer is conveyed in families; and (5) NORM: how individuals react to family norms about cancer. CFA on the holdout sample showed the CFIS to have a reasonably good fit (Chi-square = 389.977, df = 122, RMSEA= 0.058 (.052-.065), CFI=.902, TLI=.877, GF1=.939). The overall reliability of the scale was α=0.65. The reliability of the subscales was: (1) NEGATIVE α = 0.682; (2) POSITIVE α = 0.686; (3) COMMUNICATE α = 0.723; (4) FLOW α = 0.467; and (5) NORM α = 0.732. ^ We concluded the CFIS to be a good measure with most fit levels over 0.90. The CFIS could be used to compare theoretically driven hypotheses about the pathways through which family factors could influence health behavior among unaffected individuals at risk due to family history, and also aid in the development and evaluation of cancer prevention interventions including a family component. ^

Oncologic outcomes in diabetic patients with colon cancer

Type II diabetes mellitus is a growing problem worldwide and although its association with increased cardiovascular morbidity and mortality is well known, its role in the development of cancer is now being further elucidated. Recently, there has been increasing evidence that not only are diabetics more susceptible towards development of particular types of cancer, but also have worse oncologic outcomes. This retrospective chart review investigates whether diabetics with colon cancer have a poorer prognosis than their nondiabetic counterparts. Patients with high risk Stage II and Stage III colon cancer who were diagnosed and/or treated at The University of Texas M.D. Anderson Cancer Center from 1/1/2000 till 12/1/2004 were included in our study. We carried out a survival analysis using Kaplan-Meier method and multivariable analysis to assess differences in outcomes of the two population groups. We found that the decreased overall survival in diabetics did not reach statistical significance but this could be due to a lower event rate in our study. Larger studies are required to investigate this further. ^

14-3-3 zeta overexpression in early stage breast disease and tumor progression

Recent progress in diagnostic tools allows many breast cancers to be detected at an early pre-invasive stage. Thus, a better understanding of the molecular basis of early breast cancer progression is essential. 14-3-3 is a family of highly conserved and ubiquitously expressed proteins that are expressed in all eukaryotic organisms. In mammals there are seven isoforms, which bind to phosphor-serine/threonine residues regulating essential cellular processes such as signal transduction, cell cycle progression, and apoptosis. Our laboratory has discovered that a particular 14-3-3 family member, Zeta, is overexpressed in over 40% of breast tumor tissues. Furthermore, I examined the stage of breast disease in which 14-3-3ζ overexpression occurs and found that increased expression of 14-3-3ζ begins at the stage of atypical ductal hyperplasia, a very early stage of breast disease that confers increased risk for progress toward breast cancer. To determine whether 14-3-3ζ overexpression is a decisive early event in breast cancer, I overexpressed 14-3-3ζ in MCF10A cells, a non-transformed mammary epithelial cell (MEC) line and examined its impact on acini formation in a three dimensional (3D) culture model which simulates a basic unit of structure in the mammary gland. I discovered that 14-3-3ζ overexpression severely disrupted the acini architecture resulting in the disruption of polarity and luminal filling. Both are critical morphological events in the pre-neoplastic breast disease. This thesis focuses on the molecular mechanism of luminal filling. Proper lumen formation is a result of anoikis, a specific type apoptosis of cells not attached to the basement membrane. I found that 14-3-3ζ overexpression conferred a resistance to anoikis. Additionally, 14-3-3ζ overexpression in MCF10A cells and in MECs from 14-3-3ζ transgenic mice reduced expression of p53, which is known to mediate anoikis. Mechanistically, 14-3-3ζ induced hyperactivation of the PI3K/Akt pathway which led to phosphorylation and translocation of the MDM2 to the nucleus resulting in increased p53 degradation. Ectopic expression of p53 restored luminal apoptosis in 14-3-3ζ overexpressing MCF10A acini in 3D cultures. These data suggest that 14-3-3ζ overexpression is a critical event in early breast disease and down-regulation of p53 is one of the mechanisms by which 14-3-3ζ alters MEC acini structure and may increase the risk of progression to breast cancer. ^

Molecular mechanisms of response in gastrointestinal stromal tumors treated with imatinib mesylate

Gastrointestinal stromal tumors (GIST) represent 80% of sarcoma arising from the GI tract. The inciting event in tumor progression is mutation of the kit or, rarely, platelet derived growth factor receptor-α (PDGFR) gene. These mutations encode ligand independent, constitutively active proteins: Kit or PDGFR. ^ These tumors are notoriously chemo and radio resistant. Historically, patients with advanced disease realized a median overall survival of 9 months. However, with modern management of GIST with imatinib mesylate (Novartis), a small molecule inhibitor of the Kit, PDGFR, and Abl tyrosine kinases, patients now realize a median overall survival greater than 30 months. However, almost half of patients present with surgically resectable GIST and the utility of imatinib in this context has not been prospectively studied. Also, therapeutic benefit of imatinib is variable from patient to patient and alternative targeted therapy is emerging as potential alternatives to imatinib. Thus, elucidating prognostic factors for patients with GIST in the imatinib-era is crucial to providing optimal care to each particular patient. Moreover, the exact mechanism of action of imatinib in GIST is not fully understood. Therefore, physicians find difficulty in accurately predicting which patient will benefit from imatinib, how to assess response to therapy, and the time at which to assess response. ^ I have hypothesized that imatinib is tolerable and clinically beneficial in the context of surgery, VEGF expression and kit non-exon 11 genotypes portend poor survival on imatinib therapy, and imatinib's mechanism of action is in part due to anti-vascular effects and inhibition of the Kit/SCF signaling axis of tumor-associated endothelial cells. ^ Results herein demonstrate that imatinib is safe and increases the duration of disease-free survival when combined with surgery. Radiographic and molecular (namely, apoptosis) changes occur within 3 days of imatinib initiation. I illustrate that non-exon 11 mutant genotypes and VEGF are poor prognostic factors for patients treated with imatinib. These findings may allow for patient stratification to emerging therapies rather than imatinib. I show that imatinib has anti-vascular effects via inducing tumor endothelial cell apoptosis perhaps by abrogation of the Kit/SCF signaling axis. ^