Nuclear functions of dynein light chain 1 in hormone action

It is widely accepted that the process of breast cancer tumorigenesis involves estrogen receptor-alpha (ER)-regulated stimulatory pathways, which feed into survival, cell cycle progression and proliferative response. Recent data from Kumar laboratory indicate that dynein light chain 1 (DLC1) plays a role in survival, motility and invasiveness, all of which are required for a successful tumorigenesis process. In the present research, we have discovered a mechanistic bidirectional regulatory link between the DLC1 and ER. We found that DLC1 facilitates ligand-induced ER transactivation involving the recruitment of the DLC1-ER complex to ER-target genes. To gain insights into the mechanism by which DLC1 regulates the ER pathway, we set out to identify novel DLC1-interacting proteins. Among other proteins, we identified KIBRA and Ciz1 as two novel DLC1-interacting proteins. We found that the KIBRA-DLC1 complex is recruited to ER-responsive promoters, and that KIBRA-DLC1 interaction is needed for the recruitment of ER to its targets as well as for ER's transactivation function. Finally, we found that KIBRA utilizes its histone H3interacting glutamic acid-rich region to regulate the transactivation activity of ER. During the course of this work, we also discovered that DLC1 interacts with Cdk2 and Ciz1, and such interactions play a direct accelerating role in the G1-S transition of breast cancer cells. While delineating the role of Ciz1 in hormone-responsive cancer cells, we found that Ciz1 is an estrogen-responsive gene, and acts as a co-regulator of ER. Accordingly, Ciz1 overexpression in breast cancer cells conferred estrogen hypersensitivity, promoted the growth-rate, anchorage-independency and tumorigenic properties. Collectively, findings made during the course of the present dissertation research introduced two new molecular players in the action of ER in breast cancer cells, with a particular focus on cell cycle progression and ER-chromatin target regulation. In addition, findings presented here provide novel mechanistic insight about the contribution of DLC1 and its interacting proteins in amplifying the hormone action and promoting the process of breast cancer tumorigenesis. ^

Clinical relevance of polymorphic DNA copy number variation (CNV) in African American women with stage I-II breast cancer

Objectives. The chief goal of this study was to analyze copy number variation (CNV) in breast cancer tumors from 25 African American women with early stage breast cancer (BC) using molecular inversion probes (MIP) in order to: (1) compare the degree of CNV in tumors compared to normal lymph nodes, and (2) determine whether gains and/or losses of genes in specific chromosomes differ between pathologic subtypes of breast cancer defined by known prognostic markers, (3) determine whether gains/losses in CN are associated with known oncogenes or tumor suppressor genes, and (4) determine whether increased gains/losses in CN for specific chromosomes were associated with differences in breast cancer recurrence. ^ Methods. Twenty to 37 nanograms of DNA extracted from 25 formalin-fixed paraffin embedded (FFPE) tumor samples and matched normal lymph nodes were added to individual tubes. Oligonucleotide probes with recognition sequences at each terminus were hybridized with a genomic target sequence to form a circular structure. Probes are released from genomic DNA obtained from FFPE samples, and those which have been correctly "circularized" in the proper allele/nucleotide reaction combination are amplified using polymerase chain reaction (PCR) primers. Amplicons were fluorescently labeled and the tag sequences released from the genome homology regions by treatment with uracil-N-glycosylase to cleave the probe at the site where uracils are present, and detected using a complementary tag array developed by Affymetrix. ^ Results. Analysis of CN gains and losses from tumors and normal tissues showed marked differences in tumors with numerous chromosomes affected. Similar changes were not observed in normal lymph nodes. When tumors were stratified into four groups based on expression or lack of expression of the estrogen receptor and HER2/neu, distinct patterns of CNV for different chromosomes were observed. Gains or losses in CN for specific chromosomes correlated with amplifications/deletions of particular oncogenes or tumor suppressor genes (i.e. such as found on chromosome 17) known to be associated with aggressive tumor phenotype and poor prognosis. There was a trend for increases in CN observed for chromosome 17 to correlate inversely with time to recurrence of BC (p=0.14 for trend). CNV was also observed for chromosomes 5, 8, 10, 11, and 16, which are known sites for several breast cancer susceptibility alleles. ^ Conclusions. This study is the first to validate the MIP technique, to correlate differences in gene expression with known prognostic tumor markers, and to correlate significant increases/decreases in CN with known tumor markers associated with prognosis. The results of this study may have far reaching public health implications towards identifying new high-risk groups based on genomic differences in CNP, both with respect to prognosis and response to therapy, and to eventually identify new therapeutic targets for prevention and treatment of this disease. ^

Carcinoma of the lower uterine segment: A newly described association with Lynch Syndrome

Purpose. We performed a case-comparison study to describe the characteristics of LUS tumors and their association with risk factors for endometrial cancer. ^ Patients and Methods. From January 1996 through October 2007, 3,892 women were identified with a diagnosis of primary endometrial carcinoma or primary cervical adenocarcinoma. Pathology records from the 1,009 women who had a hysterectomy were reviewed. Subjects were included in the LUS group only if the tumor was clearly originating from the area between the lower corpus and upper cervix in the hysterectomy specimen. The LUS group was compared to all patients with endometrial corpus carcinoma who underwent hysterectomy at our institution in a 12-month period randomly selected from the study period. Risk factors for endometrial carcinoma such as body mass index (BMI) and Lynch Syndrome were assessed. Expression of estrogen receptor (ER), vimentin, carcinoembryonic antigen (CEA), p16, and human papilloma virus DNA (HPV DNA) was assessed; this panel is known to be effective in distinguishing adenocarcinomas of endometrial versus endocervical origin. Fisher's Exact, Chi-square, Mann-Whitney, and Student's t-tests were utilized for statistical analysis. ^ Results. Thirty-five of 1,009 women had endometrial carcinoma of the LUS (3.5%; 95% CI: 2–4%). Compared to patients with corpus tumors, LUS patients were younger (54.2 vs. 62.9 years, P = .001), had higher stage (P < .001), and more invasive tumors (P = .001). Preoperative diagnosis of the LUS tumors more frequently included the possibility of endocervical adenocarcinoma ( P < .001), leading to preoperative radiation therapy in 4 patients. Median BMI was similar in the LUS and corpus groups. Seventy-three percent of the available LUS tumors had a similar immunohistochemical expression pattern to conventional endometrioid adenocarcinoma. Because of the young median age for the LUS group, we performed immunohistochemistry for Lynch syndrome-associated DNA mismatch repair proteins MLH1, MSH2, MSH6, and PMS2. Microsatellite instability testing (MSI) and MLH1 promoter hypermethylation were performed when indicated. Thirty-six percent of the LUS tumors were MSI-high. Ten of thirty-five (29%) women with LUS tumors were either confirmed to have Lynch Syndrome or were strongly suspected to have Lynch Syndrome based on tissue-based molecular assays (95% CI, 16 to 45%). ^ Conclusions. Endometrial carcinoma arising in the LUS is a clinical and pathologic entity which can be diagnostically confused with cervical adenocarcinoma. In general, LUS tumors can be correctly identified as being endometrial carcinoma using the immunohistochemical panel noted above. The prevalence of Lynch Syndrome in patients with LUS tumors is much greater than that of the general endometrial cancer population (1.8%) or in endometrial cancer patients younger than 50 years of age (8–9%). Based on our results, the possibility of Lynch Syndrome should be considered in women with LUS tumors. ^

G870A polymorphism of cyclin D1 gene influences cancer risk - From epidemiological study to mechanism analysis

Alternate splicing of the cyclin D1 gene gives rise to transcript a and b which encode two protein isoforms cyclin D1a and cyclin D1b. Through testing transcript a and transcript b in a series of human samples, we found that cyclin D1 transcript b is ubiquitously expressed as transcript a but in the lower abundance compared to transcript a. Epidemiological studies have reported that the cyclin D1 gene (CCND1) G870A polymorphism influences the risk for a variety of cancer. In this investigation, we examined the cyclin D1b levels in tumor samples with different genotypes and found that higher levels of cyclin D1b are expressed from the A allele than the G allele. Cyclin D1 is known as a cell cycle regulator facilitating the progression of the cell cycle from G1 to S phase in response to the mitogenic signals. It also interacts with several transcription factors and transcriptional coregulators to modulate their activities. It has been reported that cyclin D1a can substitute for estrogen to activate estrogen receptor α (ERα) mediated transcription and can induce the proliferation of estrogen responsive tissues. However the biological role of cyclin D1b in ERα transcriptional regulation has not been previously explored. In this study, we determined that cyclin D1b antagonizes the action of cyclin D1a on ERα mediated transcription. Cell proliferation assays provided the evidence that cyclin D1b negatively regulates estrogen responsive breast cancer cell growth. Taken together, our findings show that the CCND1 G870A polymorphism is correlated with increased levels of cyclin D1b and that cyclin D1b antagonizes the action of cyclin D1a on ERα mediated transcription providing evidence for the mechanism by which the CCND1 G870A polymorphism may be protective in certain types of breast cancer. ^

Involvement of lipocalin 2 in leukemia and breast cancer

Human lipocalin 2 is described as the neutrophil gelatinase-associated lipocalin (NGAL). The lipocalin 2 gene encodes a small, secreted glycoprotein that possesses a variety of functions, of which the best characterized function is organic iron binding activity. Elevated NGAL expression has been observed in many human cancers including breast, colorectal, pancreatic and ovarian cancers. I focused on the characterization of NGAL function in chronic myelogenous leukemia (CML) and breast cancer. Using the leukemic xenograft mouse model, we demonstrated that over-expression of NGAL in K562 cells, a leukemic cell line, led to a higher apoptotic rate and an atrophy phenotype in the spleen of inoculated mice compared to K562 cells alone. These results indicate that NGAL plays a primary role in suppressing hematopoiesis by inducing apoptosis within normal hematopoietic cells. In the breast cancer project, we analyzed two microarray data sets of breast cancer cell lines ( n = 54) and primary breast cancer samples (n = 318), and demonstrated that high NGAL expression is significantly correlated with several tumor characteristics, including negative estrogen receptor (ER) status, positive HER2 status, high tumor grade, and lymph node metastasis. Ectopic NGAL expression in non-aggressive (ZR75.1 and MCF7) cells led to aggressive tumor phenotypes in vitro and in vivo. Conversely, knockdown of NGAL expression in various breast cancer cell lines by shRNA lentiviral infection significantly decreased migration, invasion, and metastasis activities of tumor cells both in vitro and in vivo . It has been previously reported that transgenic mice with a mutation in the region of trans-membrane domain (V664E) of HER2 develop mammary tumors that progress to lung metastasis. However, we observed that genetic deletion of the 24p3 gene, a mouse homolog of NGAL, in HER2 transgenic mice by breeding with 24p3-null mice resulted in a significant delay of mammary tumor formation and reduction of lung metastasis. Strikingly, we also found that treatment with affinity purified 24p3 antibodies in the 4T1 breast cancer mice strongly reduced lung metastasis. Our studies provide evidence that NGAL plays a critical role in breast cancer development and progression, and thus NGAL has potential as a new therapeutic target in breast cancer.^

Bayesian and survival model for tumor relapse status and disease-specific survival, with applications to breast cancer

Breast cancer is the most common non-skin cancer and the second leading cause of cancer-related death in women in the United States. Studies on ipsilateral breast tumor relapse (IBTR) status and disease-specific survival will help guide clinic treatment and predict patient prognosis.^ After breast conservation therapy, patients with breast cancer may experience breast tumor relapse. This relapse is classified into two distinct types: true local recurrence (TR) and new ipsilateral primary tumor (NP). However, the methods used to classify the relapse types are imperfect and are prone to misclassification. In addition, some observed survival data (e.g., time to relapse and time from relapse to death)are strongly correlated with relapse types. The first part of this dissertation presents a Bayesian approach to (1) modeling the potentially misclassified relapse status and the correlated survival information, (2) estimating the sensitivity and specificity of the diagnostic methods, and (3) quantify the covariate effects on event probabilities. A shared frailty was used to account for the within-subject correlation between survival times. The inference was conducted using a Bayesian framework via Markov Chain Monte Carlo simulation implemented in softwareWinBUGS. Simulation was used to validate the Bayesian method and assess its frequentist properties. The new model has two important innovations: (1) it utilizes the additional survival times correlated with the relapse status to improve the parameter estimation, and (2) it provides tools to address the correlation between the two diagnostic methods conditional to the true relapse types.^ Prediction of patients at highest risk for IBTR after local excision of ductal carcinoma in situ (DCIS) remains a clinical concern. The goals of the second part of this dissertation were to evaluate a published nomogram from Memorial Sloan-Kettering Cancer Center, to determine the risk of IBTR in patients with DCIS treated with local excision, and to determine whether there is a subset of patients at low risk of IBTR. Patients who had undergone local excision from 1990 through 2007 at MD Anderson Cancer Center with a final diagnosis of DCIS (n=794) were included in this part. Clinicopathologic factors and the performance of the Memorial Sloan-Kettering Cancer Center nomogram for prediction of IBTR were assessed for 734 patients with complete data. Nomogram for prediction of 5- and 10-year IBTR probabilities were found to demonstrate imperfect calibration and discrimination, with an area under the receiver operating characteristic curve of .63 and a concordance index of .63. In conclusion, predictive models for IBTR in DCIS patients treated with local excision are imperfect. Our current ability to accurately predict recurrence based on clinical parameters is limited.^ The American Joint Committee on Cancer (AJCC) staging of breast cancer is widely used to determine prognosis, yet survival within each AJCC stage shows wide variation and remains unpredictable. For the third part of this dissertation, biologic markers were hypothesized to be responsible for some of this variation, and the addition of biologic markers to current AJCC staging were examined for possibly provide improved prognostication. The initial cohort included patients treated with surgery as first intervention at MDACC from 1997 to 2006. Cox proportional hazards models were used to create prognostic scoring systems. AJCC pathologic staging parameters and biologic tumor markers were investigated to devise the scoring systems. Surveillance Epidemiology and End Results (SEER) data was used as the external cohort to validate the scoring systems. Binary indicators for pathologic stage (PS), estrogen receptor status (E), and tumor grade (G) were summed to create PS+EG scoring systems devised to predict 5-year patient outcomes. These scoring systems facilitated separation of the study population into more refined subgroups than the current AJCC staging system. The ability of the PS+EG score to stratify outcomes was confirmed in both internal and external validation cohorts. The current study proposes and validates a new staging system by incorporating tumor grade and ER status into current AJCC staging. We recommend that biologic markers be incorporating into revised versions of the AJCC staging system for patients receiving surgery as the first intervention.^ Chapter 1 focuses on developing a Bayesian method to solve misclassified relapse status and application to breast cancer data. Chapter 2 focuses on evaluation of a breast cancer nomogram for predicting risk of IBTR in patients with DCIS after local excision gives the statement of the problem in the clinical research. Chapter 3 focuses on validation of a novel staging system for disease-specific survival in patients with breast cancer treated with surgery as the first intervention. ^

Predictors of Contralateral Breast Cancer in BRCA Negative Women

Breast cancer is the most common cancer diagnosis and second leading cause of death in women. Risk factors associated with breast cancer include: increased age, alcohol consumption, cigarette smoking, white race, physical inactivity, benign breast conditions, reproductive and hormonal factors, dietary factors, and family history. Hereditary breast and ovarian cancer syndrome (HBOC) is caused by mutations in the BRCA1 and BRCA2 genes. Women carrying a mutation in these genes are at an increased risk to develop a second breast cancer. Contralateral breast cancer is the most common second primary cancer in patients treated for a first breast cancer. Other risk factors for developing contralateral breast cancer include a strong family history of breast cancer, age of onset of first primary breast cancer, and if the first primary was a lobular carcinoma, which has an increased risk of being bilateral. A retrospective chart review was performed on a select cohort of women in an IRB approved database at MD Anderson Cancer Center. The final cohort contained 572 women who tested negative for a BRCA1 or BRCA2 mutation, had their primary invasive breast cancer diagnosed under the age of 50, and had a BRCAPro risk assessment number over 10%. Of the 572 women, 97 women developed contralateral breast cancer. A number of predictors of contralateral breast cancer were looked at between the two groups. Using univariable Cox Proportional Hazard model, thirteen statistically interesting risk factors were found, defined as having a p-value under 0.2. Multivariable stepwise Cox Proportional Hazard model found four statistically significant variables out of the thirteen found in the univariable analysis. In our study population, the incidence of contralateral breast cancer was 17%. Four statistically significant variables were identified. Undergoing a prophylactic mastectomy was found to reduce the risk of developing contralateral breast cancer, while not having a prophylactic mastecomy, a young age at primary diagnosis, having a positive estrogen receptor status of the primary tumor, and having a family history of breast cancer increased a woman’s risk to develop contralateral breast cancer.

Risk factors for inflammatory breast cancer

Background: Inflammatory breast cancer (IBC) is rare and accounts for 2.5% of all invasive breast cancers. The 5-year survival rates are significantly lower than for other types of breast cancer, highlighting the significance of cancer prevention in IBC. The comprehensive multi-disciplinary team Morgan Welch Inflammatory Breast Cancer Research Program and Clinic at University of Texas MD Anderson Cancer Center treats the largest number of Inflammatory Breast patients in a single center. Because of this unique center, large patient resources, and good medical and epidemiological records, we were able to conduct the largest single center case-control and case-case study on IBC. Methods: We identified 246 patients diagnosed with IBC and 397 cancer free patients seen at the Dan L Duncan Cancer Prevention Clinic. Breast cancer reproductive risk factors and lifestyle risk factors were compared between tumor subtypes of IBC patients (Estrogen Receptor positive (ER+) and/or Progesterone Receptor positive (PR+), Human Epidermal Growth Factor 2 positive (HER2+)), and (ER -/PR-/HER2-)) and cancer free controls. Results: Breastfeeding was the only significant risk factor (p<0.01) between tumor subtypes in IBC patients. In the case-control study that included all IBC patients and cancer free patients the descriptive statistics indicate significant difference in BMI, history of smoking, number of children, age of first pregnancy, any breastfeeding and total time breastfeeding (p<0.05). No differences were found in the frequency of other breast cancer risk factors. Conclusion: The associations determined between cancer free controls and IBC patients have identified previously unknown risk factors for IBC. The risk factors identified by the case control study suggest BMI, history of smoking, and the protective effect of breastfeeding as potential modifiable risk factors that can be used to decrease the incidence of IBC. Impact: These results highlight the importance of evaluating epidemiologic risk factors of IBC, which could lead to the identification of distinct etiologic pathways that could be targeted for prevention.^