THE ROLE OF CYCLIN E IN PKC IOTA-DRIVEN EARLY OVARIAN TUMORIGENESIS

Among the gynecologic malignancies, epithelial ovarian tumors are the leading cause of death. For the past few decades, the only treatment has involved surgical resection of the tumor and/or general chemotherapies. In an attempt to improve treatment options, we have shown that several oncogenes that are overexpressed in ovarian cancer, PI3K, PKCiota, and cyclin E, all of which have been shown to lead to a poor prognosis and decreased survival, converge into a single pathway that could potentially be targeted therapeutically. Because of the ability of either PKCiota or cyclin E overexpression to independently induce anchorage-independent growth, a hallmark of cancer, we hypothesized that targeting PKCiota expression in ovarian cancer cells could induce a reversion of the transformed phenotype through down regulation of cyclin E. To test this hypothesis, we first established a correlation between PKCiota and cyclin E in a panel of 20 ovarian cancer cell lines. To show that PKCiota is upstream of cyclin E, PKCiota was stably knocked down using RNAi in IGROV cells (epithelial ovarian cancer cell line of serous histology). The silencing of PKCiota resulted in decreased expression of cell cycle drivers, such as cyclin D1/E and CDK2/4, and an increase in p27. These alteration in the regulators of the cell cycle resulted in a decrease in both proliferation and anchorage-independent growth, which was specifically through cyclin E, as determined by a rescue experiment. We also found that the mechanism of cyclin E regulation by PKCiota was at the level of degradation rather than transcription. Using two inhibitors to PI3K, we found that both the active form of PKCiota and total cyclin E levels decreased, implying that the PKCiota/cyclin E pathway is downstream from PI3K. In conclusion, we have identified a novel pathway in epithelial ovarian tumorigenesis (PI3K à PKCiota à Cyclin E à anchorage-independent growth), which could potentially be targeted therapeutically.

Effectiveness of an early postoperative feeding protocol

Background. The increasing emphasis on medical outcomes and cost containment has made it imperative to identify patient populations in which aggressive nutritional care can improve quality of care. The aim of this prospective study was to implement a standardized early jejunal feeding protocol for patients undergoing small and large bowel resection, and to evaluate its effect on patient outcome and cost.^ Methods. Treatment patients (n = 81) who met protocol inclusion criteria had a jejunal feeding tube inserted at the time of surgery. Feeding was initiated at 10 cc/hour within 12 hours after bowel resection and progressed if hemodynamically stable. The control group (n = 159) received usual care. Outcome measures included postoperative length of stay, total direct cost, nosocomial infection rate and health status (SF-36) scores.^ Results. By postoperative day 4, the use of total parenteral nutrition (TPN) was significantly greater in the control group compared to the treatment group; however, total nutritional intake was significantly less. Multiple regression analysis indicated an increased likelihood of infection with the use of TPN. A reduction of 3.5 postoperative days (p =.013) with 4.3 fewer TPN days per patient (p =.001) and a 9.6% reduction in infection rate (p =.042) was demonstrated in the treatment group. There was no difference in health status scores between groups at discharge and 3 months post-discharge.^ Conclusion. These positive outcomes and an average total cost savings of $4,145 per treatment patient indicate that the treatment protocol was effective. ^

Estrogen action during early mouse mammary gland development

Estrogens have been implicated in the normal and neoplastic development of the mammary gland. Although estradiol is essential for early mammary differentiation, its role in postnatal ductal morphogenesis is poorly defined. We have found that neonatal estradiol exposure promotes precocious ductal outgrowth and terminal end bud formation in 21 day-old female mice. In contrast to this precocious phenotype, day 21 estradiol-treated epithelium, transplanted into control host fatpads, grows more slowly than control epithelium. Western and immunohistochemical (IHC) analyses indicate that neonatally-estrogenized glands have significantly less total ER than controls at days 7 and 21, and significantly more stromal ER at day 35. Estrogen receptor α (ER) is present in the gland when treatment is initiated at day 1. We propose that the premature activation of ER by neonatal estradiol exposure, during this critical perinatal period, is a key factor in the alteration of mammary growth and ER expression. ^ To address the role of ER function in mammary morphogenesis, we have developed an in vitro system to study the effect of estradiol exposure in vivo. Keratin and ER-positive mammary epithelial cell lines from 7, 21 and 35 day-old oil or estradiol treated mice have been established. Cell lines derived from estradiol-treated mice grow significantly slower than cells from control glands. Although the level of ER expressed by each cell line is correlated to its rate of growth, epithelial growth in vitro is estradiol-independent and antiestrogen-insensitive. Estradiol-induced transcription from an ERE-reporter in transiently-transfected cell lines confirms the functionality of the ER detected by western and IHC. However, there are no differences in estradiol-stimulated transcription between cell lines. ^ In conclusion, neonatal estradiol treatment alters the pattern of ER expression in mammary epithelial and stromal cells in vivo, and the growth of mammary epithelial cells in vivo and in vitro. When grown outside of the estrogenized host, exposed epithelium grows more slowly than the control. Therefore, an extra-epithelial factor is necessary for enhanced epithelial growth. Our model, which couples an in vivo-in vitro approach, can be used in the future to identify factors involved in the period of early mammary outgrowth and carcinogen susceptibility. ^

Outcomes associated with chemotherapy in elderly patients with early stage operable breast cancer

Background. Various clinical trials have proved the efficacy of adjuvant chemotherapy in women with breast cancer. Chemotherapy efficacy and guidelines for its use differ by stage of tumor and age of the patient with no clear recommendations for patients aged 70 and above. Objective. To examine the clinical and economic outcomes associated with chemotherapy use in and to examine the disparities in treatment and survival in elderly patients with early stage operable breast cancer by age and axillary node status. Methods. We studied a cohort of 23,110 node positive and 31,572 node negative women aged 65 and over diagnosed with incident American Joint Committee on Cancer (AJCC) stage I, II or IIIa breast cancer between January 1, 1991 and December 31, 2002 using SEER-Medicare data. Total patient costs were estimated using the phase of care approach and adjusted cost estimates were obtained from regression analysis using a 3% discount rate. Cox proportional hazard ratio of mortality was used to determine the effectiveness of chemotherapy. Propensity score approach was also used to minimize the bias associated with receipt of chemotherapy. To assess disparity in treatment, multivariate logistic regression analyses were performed to assess the relative odds of receiving surgery, chemotherapy and radiation after BCS for African Americans compared to Whites. Results. Regression adjusted cost estimates for all node positive patients receiving chemotherapy was approximately $2,300 and was significantly higher (p<0.05) than for patients not receiving chemotherapy. Mortality was significantly lower in node positive and node negative women aged 65-74 years receiving chemotherapy. There was a significant difference between African American and White women in receiving BCS and radiation after BCS; however this difference was explained by patient demographics, tumor characteristics and socioeconomic status (SES). African American node positive women were 21% less likely to receive chemotherapy than White women (OR, 0.79; CI, 0.68-0.92) in multivariate analysis. Conclusion. Chemotherapy is associated with increased survival in patients aged 65-74 and total costs attributable to chemotherapy differ by phase and age of the patient. Underutilization of systemic adjuvant chemotherapy in African American women requires attention and may serve as potential areas for appropriate intervention.^

Factors governing late-recurrence of disease in a cohort of early-stage breast cancer survivors

Purpose. To determine the risk of late breast cancer recurrence (5 years after treatment) in a population of women diagnosed with early-stage breast cancer at The University of Texas M.D. Anderson Cancer Center (MDACC) between 1985-2000 and to examine the effect of this population’s BMI, smoking history, reproductive history, hormone use, and alcohol intake at the time of diagnosis on risk of late recurrence.^ Methods. Patients included 1,913 members of the Early Stage Breast Cancer Repository recruited at MDACC who had survived without a recurrence for at least five years after their initial diagnosis of early stage breast cancer. Clinical and epidemiological information was ascertained twice on participants during the study—first by medical record abstraction then by patient interview at least five years after receipt of adjuvant treatment. A total of 223 late breast cancer recurrences were captured, with an average follow-up of 10.6 years. Cox proportional hazards models were used to calculate hazard ratios (HR) and 95% confidence intervals (CI). ^

Early identification of symptomatic aortic stenosis using echocardiographic data

Background: Heart failure (CHF) is the most frequent and prognostically severe symptom of aortic stenosis (AS), and the most common indication for surgery. The mainstay of treatment for AS is aortic valve replacement (AVR), and the main indication for an AVR is development of symptomatic disease. ACC/AHA guidelines define severe AS as an aortic valve area (AVA) ≤1cm², but there is little data correlating echocardiogram AVA with the onset of symptomatic CHF. We evaluated the risk of developing CHF with progressively decreasing echocardiographic AVA. We also compared echocardiographic AVA with Jet velocity (V2) and indexed AVA (AVAI) to assess the best predictor of development of symptomatic CHF.^ Methods and Results: This retrospective cohort study evaluated 518 patients with asymptomatic moderate or severe AS from a single community based cardiology practice. A total of 925 echocardiograms were performed over an 11-year period. Each echocardiogram was correlated with concurrent clinical assessments while the investigator was blinded to the echocardiogram severity of AS. The Cox Proportional hazards model was used to analyze the relationship between AVA and the development of CHF. The median age of patients at entry was 76.1 years, with 54% males. A total of 116 patients (21.8%) developed new onset CHF during follow-up. Compared to patients with AVA >1.0cm², patients with lower AVA had an exponentially increasing risk of developing CHF for each 0.2cm² decrement in AVA, becoming statistically significant only at an AVA less than 0.8 cm². Also, compared to V2 and AVAI, AVA added more information to assessing risk for development of CHF (p=0.041). ^ Conclusion: In patients with normal or mildly impaired LVEF, the risk of CHF rises exponentially with decreasing valve area and becomes statistically significant after AVA falls below 0.8cm². AVA is a better predictor of CHF when compared to V2 or AVAI.^

Bayesian Adaptive Designs for Early Phase Clinical Trials

My dissertation focuses mainly on Bayesian adaptive designs for phase I and phase II clinical trials. It includes three specific topics: (1) proposing a novel two-dimensional dose-finding algorithm for biological agents, (2) developing Bayesian adaptive screening designs to provide more efficient and ethical clinical trials, and (3) incorporating missing late-onset responses to make an early stopping decision. Treating patients with novel biological agents is becoming a leading trend in oncology. Unlike cytotoxic agents, for which toxicity and efficacy monotonically increase with dose, biological agents may exhibit non-monotonic patterns in their dose-response relationships. Using a trial with two biological agents as an example, we propose a phase I/II trial design to identify the biologically optimal dose combination (BODC), which is defined as the dose combination of the two agents with the highest efficacy and tolerable toxicity. A change-point model is used to reflect the fact that the dose-toxicity surface of the combinational agents may plateau at higher dose levels, and a flexible logistic model is proposed to accommodate the possible non-monotonic pattern for the dose-efficacy relationship. During the trial, we continuously update the posterior estimates of toxicity and efficacy and assign patients to the most appropriate dose combination. We propose a novel dose-finding algorithm to encourage sufficient exploration of untried dose combinations in the two-dimensional space. Extensive simulation studies show that the proposed design has desirable operating characteristics in identifying the BODC under various patterns of dose-toxicity and dose-efficacy relationships. Trials of combination therapies for the treatment of cancer are playing an increasingly important role in the battle against this disease. To more efficiently handle the large number of combination therapies that must be tested, we propose a novel Bayesian phase II adaptive screening design to simultaneously select among possible treatment combinations involving multiple agents. Our design is based on formulating the selection procedure as a Bayesian hypothesis testing problem in which the superiority of each treatment combination is equated to a single hypothesis. During the trial conduct, we use the current values of the posterior probabilities of all hypotheses to adaptively allocate patients to treatment combinations. Simulation studies show that the proposed design substantially outperforms the conventional multi-arm balanced factorial trial design. The proposed design yields a significantly higher probability for selecting the best treatment while at the same time allocating substantially more patients to efficacious treatments. The proposed design is most appropriate for the trials combining multiple agents and screening out the efficacious combination to be further investigated. The proposed Bayesian adaptive phase II screening design substantially outperformed the conventional complete factorial design. Our design allocates more patients to better treatments while at the same time providing higher power to identify the best treatment at the end of the trial. Phase II trial studies usually are single-arm trials which are conducted to test the efficacy of experimental agents and decide whether agents are promising to be sent to phase III trials. Interim monitoring is employed to stop the trial early for futility to avoid assigning unacceptable number of patients to inferior treatments. We propose a Bayesian single-arm phase II design with continuous monitoring for estimating the response rate of the experimental drug. To address the issue of late-onset responses, we use a piece-wise exponential model to estimate the hazard function of time to response data and handle the missing responses using the multiple imputation approach. We evaluate the operating characteristics of the proposed method through extensive simulation studies. We show that the proposed method reduces the total length of the trial duration and yields desirable operating characteristics for different physician-specified lower bounds of response rate with different true response rates.