OT3-01-06: A Phase 2 Study Investigating the Safety, Efficacy and Surrogate Biomarkers of Response of 5-Azacitidine (5-AZA) and Entinostat (MS-275) in Patients with Advanced Breast Cancer.
Abstract Background: Epigenetic alterations in the genome, including abnormal DNA methylation and histone hypoacetylation, initiate and promote cancerous changes via several mechanisms, including inactivation of tumor suppressor genes. Preclinical investigations in breast cancer suggest that use of epigenetic modifiers results in re-expression of aberrantly silenced genes and proteins that represent important therapeutic targets (e.g. estrogen receptor alpha, ER). Combination therapy with a DNA methyltransferase inhibitor (DNMTI) and a histone deacetylase inhibitor (HDACI) has yielded superior ER reexpression and greater restoration of tamoxifen responsiveness than with HDACI alone. We hypothesize that clinically tolerable doses of the DNMTI 5-azacitidine (5-AZA) and the HDACI entinostat may not only effect changes in DNA methylation and gene expression, but also yield objective disease responses in women with advanced breast cancer. Trial design: This multicenter phase II study (NCT01349959) is enrolling patients with advanced human epidermal growth factor receptor 2 (HER2)-negative breast cancer with triple negative (ER/progesterone receptor [PR]/HER2−negative, Cohort A) or hormone-resistant (Cohort B) disease. Patients will receive 5-AZA 40 mg/m2 subcutaneously days 1–5 and 8–10 and entinostat 7 mg orally days 3 and 10 every 28 days. Because of the potential for re-expression of the ER with epigenetic agents, patients will be offered continuation of 5-AZA and entinostat at progression with the addition of hormonal therapy (investigator discretion). Mandatory tumor biopsies will be performed at baseline and after 8 weeks of therapy to evaluate correlative biomarkers. Eligibility Criteria: Eligible patients must be ≥ 18 years, have measurable locally advanced/metastatic triple-negative (at least one prior chemotherapy received adjuvant/metastatic setting) or hormone-resistant (must have received two prior hormonal agents and one prior chemotherapy) disease, adequate organ function and ECOG PS ≤ 2. Specific Aims: 1. Objective response rate (ORR) by RECIST 1.1 criteria. 2. Safety and tolerability 3. Progression-free survival, overall survival and clinical benefit rate. 4. Safety and toxicity data, feasibility and response rate where hormonal therapy is added to the combination under investigation at the time of progressive disease. 5. Pharmacokinetics, cytidine deaminase, changes from baseline of candidate gene methylation and expression in circulating deoxyribonucleic acid (DNA) and malignant tissue. Statistical Methods: Using a two-stage three-outcome design to assess the efficacy of the combination, a maximum of 30 patients (requiring 27 evaluable) will be accrued to each cohort unless undue toxicity is encountered for a maximum sample size of 60 patients. The study design tests the null hypothesis that the ORR is at most 5% against the alternative hypothesis that it is at least 20% with a type I error of 4% and power of 90%. Present and Targeted Accrual: This study has just opened to patient enrollment. We anticipate a rapid accrual of 60 patients within 1 year.br](Funding from Stand Up to Cancer and CTEP). Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr OT3-01-06.
OT2-05-06: ACOSOG Z11101/ACRIN 6694: Effect of Preoperative Breast MRI on Surgical Outcomes, Costs and Quality of Life of Women with Breast Cancer.
Abstract Background Surgical planning and local-regional treatment of breast cancer relies on accurate assessment of disease extent including the primary tumor size and the presence/absence of multiple tumor foci. As a staging modality for breast cancer, MRI has shown high sensitivity for detection of additional foci of diseases within the index breast. However, the impact of preoperative breast MRI on reducing re-excision rates and improving local control is less clear. Data from the COMICE trial in the UK suggested that routine use of pre-operative breast MRI did not alter rates of re-excision; however issues have been raised about the lack of quality standards for the MR imaging that may have resulted in the negative results of this trial. Retrospective data suggest that local recurrence is not impacted by use of breast MRI. In concert with data showing no improvement in clinical outcomes of breast cancer patients, concerns have been raised that routine use of preoperative breast MRI is associated with increased rates of mastectomy and delays to surgery. Therefore, the application of MRI for preoperative surgical staging remains controversial. In order to address this ongoing controversy, a joint effort has been launched by ACOSOG and ACRIN for a prospective clinical trial focused on evaluating the impact of preoperative breast MRI on clinically relevant patient outcomes. An important part of this collaboration is implementation of standards of how MRI findings should be clinically managed and used to direct localization methods and surgical planning, thereby creating guidelines for subsequent patient intervention. Trial design/eligibility criteria: A prospective multicenter trial will include women eligible for BCT by standard criteria and randomized between current standard of care, clinical examination and mammography (+/− ultrasound) and the same plus preoperative breast MRI. The study will focus on women at the highest risk of local recurrence: ER/PR/HER-2 negative (triple negative) and HER-2 amplified breast cancers. Specific aims: To compare the rates of local recurrence following breast conserving therapy in a cohort randomized to preoperative staging with mammography or mammography plus breast MRI. Additionally, a comparison of rates of re-operation, time to local recurrence, survival outcomes, contralateral breast cancer rates, rates of multicentric disease and other secondary aims will be performed. Costs and quality of life measures will also be investigated. Statistical methods: A stratified logrank test and Cox partial likelihood score test will be used to assess whether the distribution of LR times differs with respect to diagnostic work-up approach having adjusted for tumor stage. Cox modeling with the Cox partial likelihood score test will be used to examine the strength of association between these time to event distributions and such additional potential prognostic factors as menopausal status, chemotherapy, radiation therapy, ER, PR, number of positive lymph nodes, HER-2/neu expression, Nottingham grade, and Ki-67 expression. Target Accrual: 556 patients Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr OT2-05-06.
Abstract B60: From plasma peptide to phenotype: An emerging role of quiescin-sulfhydryl oxidase 1 in tumor cell invasion
Abstract Quiescin-sulfhydryl oxidase (QSOX1) oxidizes sulfhydryl groups to form disulfide bonds in proteins. We previously mapped a peptide in plasma from pancreatic ductal adenocarcinoma patients back to an overexpressed QSOX1 parent protein in tumor cells. It is not known why, or in what capacity, pancreatic tumors overexpress QSOX1. To begin to address this question, we first showed through immunohistochemistry that QSOX1 is overexpressed in patients diagnosed with pancreatic cancer, while it is not expressed in adjacent normal tissue or infiltrating lymphocytes. To determine the potential advantages QSOX1 might provide to tumor cells we knocked down QSOX1 using shRNA that suppressed both short and long isoforms of the protein. Loss of QSOX1 expression suppressed cell growth over time, while changes in cell cycle and apoptotic markers were minimal. However, QSOX1 shRNA dramatically inhibited the abilities of BxPC3 and Panc-1 pancreatic tumor cells to invade through Matrigel in a modified Boyden chamber assay. Mechanistically, gelatin zymography indicated that QSOX1 may play an important role in intracellular processing and extracellular activation of MMP-2 and MMP-9. Taken together, our results suggest that pancreatic tumors that express QSOX1 demonstrate an invasive phenotype through MMP activation. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the Second AACR International Conference on Frontiers in Basic Cancer Research; 2011 Sep 14-18; San Francisco, CA. Philadelphia (PA): AACR; Cancer Res 2011;71(18 Suppl):Abstract nr B60.
Abstract B20: GLI1 overexpression contributes to HCC recurrence partly through the induction of SNAI1-induced epithelial-to-mesenchymal transition
Abstract Background/Aim: Glioma-associated oncogene 1 (GLI1) is one of the most important transcription factors in the hedgehog (Hh) signaling pathway and has been shown to be involved in embryonic development and tumor progression. The epithelial-to-mesenchymal transition (EMT) is an important cellular program which contributes to invasion and metastasis of cancer. We have previously shown that GLI1 may promote HCC metastasis via EMT. Here, we demonstrate that GLI1 upregulates SNAI1 expression, induces EMT, and promotes HCC recurrence in vivo and in vitro. Methods: Gli1 mRNA was assessed in 139 HCCs by microarray and its correlation with HCC recurrence and SNAI1 mRNA expression was analyzed. In vitro, the mRNA and protein expression of GLI1 was measured in Gli1-negative Huh7 cells transfected with GU1 and GU1-expressing SNU398 cells transfected with antisense oligonucleotides targeting GU1 (GLI1 ASO). GLI1-dependent transcriptional activity was assessed with GU reporter luciferase assay and electrophoretic mobility shift assay (EMSA). The interaction between Gli1, SNAI1 and EMT was assessed by real-time PCR, Western immunoblotting and immunofluorescence. Effects of GLI1 on proliferation, viability, migration, and invasion of tumor cells were also assessed. Results: GLI1 mRNA was detected in 74 HCC tumors and found to be upregulated in 43 (58.1 %) HCCs. Increased Gli1 mRNA in HCCs was associated with tumor recurrence after resection. There was a positive correlation between GLI1 and SNAI1 mRNA expression. In HCC cells, GLI1 overexpression increased Gli1-dependent transcriptional activity, proliferation, viability, migration, and invasion of tumor cells. GU1 also increased SNAI1 expression and induced the EMT. Opposite effects were observed in GU1-knockdown models. Conclusion: Together, these findings identify a novel mechanism mediating HCC recurrence that includes GLI1-mediated activation of EMT via upregulation of SNAI1. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the Second AACR International Conference on Frontiers in Basic Cancer Research; 2011 Sep 14-18; San Francisco, CA. Philadelphia (PA): AACR; Cancer Res 2011;71(18 Suppl):Abstract nr B20.
Abstract B14: Attacking the Achilles' heel in the oncogenic K-RAS signaling pathway to block tumorigenesis and metastasis in human cancers
Abstract Hyperactive K-RAS signaling is a major menace that drives aggressive tumor growth and metastasis in human cancer. Currently, there are no effective ways to treat human cancers that have oncogenic K-RAS mutations that confer drug resistance, aggressive tumor growth, systemic metastasis, and poor clinical outcome. Therefore, finding novel approaches and new drug targets to inhibit oncogenic K-RAS is an urgent goal and the major challenge in cancer therapy and treatment. Instead of targeting an upstream signaling module such as EGFR/HER2/KRAS/B-RAF/MEK/MAPK/AKT/mT0R, we targeted the most downstream signaling module in the EGFR/HER2/K-RAS pathway called the SIAH-dependent proteolytic machinery. SIAHs are the human homologs of seven-in-absentia (SINA), an evolutionarily conserved RING E3 ligase, an essential downstream signaling module, and a critical gatekeeper required for proper ERBB/RAS/RAF signal transduction. Guided by the insights and principles learned from Drosophila RAS signaling pathway, we conducted preclinical studies to dissect SIAH function in the context of ERBB/K-RAS-mediated tumorigenesis and metastasis in human cancer cells and tumor specimens. We found that: 1) SIAH is a novel biomarker for human cancer, i.e., SIAH specifically decorates proliferating tumor cells (not stromal or immune cells in the tumor microenvironment). SIAH expression is progressively and markedly upregulated as human cancer progresses to the advanced stages in human pancreatic, lung, breast, and prostate cancers; and 2) inhibiting SIAH function is highly effective to abolish tumorigenesis and metastasis in multiple of the most aggressive human cancer cell lines known in the literature that include pancreatic cancer cells (MiaPaCa and Panc-1), lung cancer cells (A549, H727, and UMC11), invasive breast cancer cells (MDA-MB-231, MDA-MB-468, and MDA-MB-435), colorectal cancer cells (SW620 and HCT116) and hormonal-refractory prostate cancer cells (PC-3 and DU-145) in our preclinical studies. These findings demonstrate that SIAH is an attractive and logical new therapeutic target for novel anti-K-RAS and anticancer therapy in human cancer. Through our work, SIAH has emerged as a new and effective drug target against oncogenic K-RAS activation in human cancer cells. Using anti-SIAH molecules to block K-RAS signaling in human cancer is an excellent example of science going from the bench (basic research in fruit flies) to the bedside (preclinical studies and ultimately clinical trials). As a highly evolutionarily conserved E3 ligase and the most downstream gatekeeper of EGFR/HER2/K-RAS/B-RAF signaling pathway, SIAH is uniquely and logically positioned to become a next-generation anti-K-RAS drug target. Our preclinical studies have demonstrated that SIAH-dependent proteolysis is an Achilles' heel for human cancer cells. Albeit at an early preclinical stage, knowledge gained from our study has great promise that has generated many excitements with immediate translational values. Anti-SIAH-based small molecule inhibitors may aid in expanding our arsenal of novel anticancer therapies. By attacking the oncogenic ERBB/K-RAS/B-RAF pathway using multipronged synergistic inhibitions at upstream (EGFR/HER2 membrane receptors), midstream (K-RAS/B-RAF/MEK/mTOR), and downstream (SIAH E3 ligase) signaling modules in parallel, we will be in a great position to halt the genesis, progression, and metastasis of the most aggressive and the deadliest forms of human cancers. If successful, we hope to translate our findings to the cancer clinics to treat many cancer patients with metastatic diseases in the near future. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the Second AACR International Conference on Frontiers in Basic Cancer Research; 2011 Sep 14-18; San Francisco, CA. Philadelphia (PA): AACR; Cancer Res 2011;71(18 Suppl):Abstract nr B14.
A prognostic model to predict survival in 867 World Health Organization–defined essential thrombocythemia at diagnosis: a study by the International Working Group on Myelofibrosis Research and Treatment
Abstract Diagnosis of essential thrombocythemia (ET) has been updated in the last World Health Organization (WHO) classification. We developed a prognostic model to predict survival at diagnosis, named IPSET (International Prognostic Score for ET), studying patients with WHO-defined ET. Age 60 years or older, leukocyte count ≥ 11 × 109/L, and prior thrombosis significantly affected survival, by multivariable Cox regression. On the basis of the hazard ratio, we assigned 2 points to age and 1 each to leukocyte count and thrombosis. So, the IPSET model allocated 867 patients into 3 risk categories with significantly different survival: low (sum of points = 0; median survival not reached), intermediate (sum = 1-2; median survival 24.5 years), and high (sum = 3-4, median survival 13.8 years). The IPSET model was further validated in 2 independent cohorts including 132 WHO-defined ET and 234 Polycythemia Vera Study Group–defined ET patients. The IPSET model was able to predict the occurrence of thrombosis, and not to predict post-ET myelofibrosis. In conclusion, IPSET, based on age ≥ 60 years, leukocyte count ≥ 11 × 109/L, and history of thrombosis allows prognostic assessment of WHO-defined ET and the validation process makes IPSET applicable in all patients phenotypically appearing as ET.
Onset of progressive phase is an age-dependent clinical milestone in multiple sclerosis
Background: It is unclear if all patients with relapsing–remitting multiple sclerosis (RRMS) ultimately develop progressive MS. Onset of progressive disease course seems to be age- rather than disease duration-dependent. Some forms of progressive MS (e.g. primary progressive MS (PPMS)) are uncommon in population-based studies. Ascertainment of patients with PPMS from clinic-based populations can facilitate a powerful comparison of age at progression onset between secondary progressive MS (SPMS) and PPMS but may introduce unclear biases. Objective: Our aim is to confirm that onset of progressive disease course is more relevant to the patient’s age than the presence or duration of a pre-progression relapsing disease course in MS. Methods: We studied a population-based MS cohort ( n =210, RRMS n =109, progressive MS n =101) and a clinic-based progressive MS cohort ( n =754). Progressive course was classified as primary (PPMS; n =322), single attack (SAPMS; n =112) and secondary progressive (SPMS; n =421). We studied demographics (chi 2 or t -test), age-of-progression-onset ( t -test) and time to Expanded Disability Status Scale of 6 (EDSS6) (Kaplan–Meier analyses). Results: Sex ratio ( p =0.58), age at progression onset ( p =0.37) and time to EDSS6 ( p =0.16) did not differ between the cohorts. Progression had developed before age 75 in 99% of patients with known progressive disease course; 38% with RRMS did not develop progression by age 75. Age at progression onset did not differ between SPMS (44.9±9.6), SAPMS (45.5±9.6) and PPMS (45.7±10.8). In either cohort, only 2% of patients had reached EDSS6 before onset of progression. Conclusions: Patients with RRMS do not inevitably develop a progressive disease course. Onset of progression is more dependent on age than the presence or duration of a pre-progression symptomatic disease course. Moderate disability is sustained predominantly after the onset of a progressive disease course in MS.
Adoptive Transfer of Cytotoxic T Lymphocytes Targeting Two Different Antigens Limits Antigen Loss and Tumor Escape
An antitumor T-cell response can lead to tumor control without clearing all tumor cells. As long as residual tumor cells remain, there is a constant risk of escape from that T-cell response. We previously showed that adoptive transfer of anti-ova OT-I T cells into B16ova-bearing mice led to tumor regression followed by escape of tumors that had lost the ova gene, rendering the OT-I T cells ineffective. In this study, we hypothesized that simultaneous transfer of cytotoxic T lymphocytes targeted against two independent antigens would reduce selection for single-antigen-loss cells, thereby limiting tumor escape. Using OT-I and Pmel T cells to treat B16ova tumors, we found that early cotransfer could prevent tumor emergence in most mice, whereas neither T-cell specificity alone was able to do so. When combined with total body irradiation for the treatment of larger 7-day tumors, cotransfer was also better at limiting tumor recurrence, and the tumors that did escape combination therapy continued to express both target antigens. As adoptively transferred T cells also persisted in vivo , even in mice with recurrent tumors, we hypothesized that restimulation of these antitumor T cells would prolong survival of mice with recurrent tumors. Consistent with this hypothesis, administration of a low-dose regimen of cyclophosphamide following tumor escape slowed tumor growth in mice that had previously received T-cell therapy, but not in control-treated mice, an effect that was associated with increased activation of T cells in vitro by low- but not high-dose cyclophosphamide.
Simultaneous Analysis of Multiple Data Types in Pharmacogenomic Studies Using Weighted Sparse Canonical Correlation Analysis
Abstract Variation in drug response results from a combination of factors that include differences in gender, ethnicity, and environment, as well as genetic variation that may result in differences in mRNA and protein expression. This article presents two integrative analytic approaches that make use of both genome-wide SNP and mRNA expression data available on the same set of subjects: a step-wise integrative approach and a comprehensive analysis using sparse canonical correlation analysis (SCCA). In addition to applying standard SCCA, we present a novel modification of SCCA which allows different weighting for the various pair-wise relationships in the SCCA. These integrative approaches are illustrated with both simulated data and data from a pharmacogenomic study of the drug gemcitabine. Results from these analyses found little overlap in terms of genes detected, possibly detecting different biological mechanisms. In addition, we found the proposed weighted SCCA to outperform its unweighted counterpart in detecting associations between the genomic features and phenotype. Further research is needed to develop and assess new integrative methods for pharmacogenomic studies, as these types of analyses may uncover novel insights into the relationship between genomic variation and drug response.
Cytogenetic Risk Stratification in Myelodysplastic Syndromes: Are We There Yet?