9 results on '"Connolly, Denise C."'
Search Results
2. Resistance to BET Bromodomain Inhibitors Is Mediated by Kinome Reprogramming in Ovarian Cancer.
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Kurimchak, Alison M., Shelton, Claude, Duncan, Kelly E., Johnson, Katherine J., Brown, Jennifer, O’Brien, Shane, Gabbasov, Rashid, Fink, Lauren S., Li, Yuesheng, Lounsbury, Nicole, Abou-Gharbia, Magid, Childers, Wayne E., Connolly, Denise C., Chernoff, Jonathan, Peterson, Jeffrey R., and Duncan, James S.
- Abstract
Summary Small-molecule BET bromodomain inhibitors (BETis) are actively being pursued in clinical trials for the treatment of a variety of cancers, but the mechanisms of resistance to BETis remain poorly understood. Using a mass spectrometry approach that globally measures kinase signaling at the proteomic level, we evaluated the response of the kinome to targeted BETi treatment in a panel of BRD4-dependent ovarian carcinoma (OC) cell lines. Despite initial inhibitory effects of BETi, OC cells acquired resistance following sustained treatment with the BETi JQ1. Through application of multiplexed inhibitor beads (MIBs) and mass spectrometry, we demonstrate that BETi resistance is mediated by adaptive kinome reprogramming, where activation of compensatory pro-survival kinase networks overcomes BET protein inhibition. Furthermore, drug combinations blocking these kinases may prevent or delay the development of drug resistance and enhance the efficacy of BETi therapy. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
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3. Somatic Mutations of the PPP2R1B Candidate Tumor Suppressor Gene at Chromosome 11q23 are Infrequent in Ovarian Carcinomas.
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Wu, Rong, Connolly, Denise C, Ren, Xiaodan, Fearon, Eric R, and Cho, Kathleen R
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TUMOR suppressor genes , *ANTIBODY diversity , *OVARIAN cancer , *CHROMOSOMES - Abstract
Previous studies have demonstrated frequent allelic losses of distal chromosome 11q in ovarian carcinomas. The tumor suppressor gene(s) presumably targeted by these losses have not yet been identified. PPP2R1B is a candidate tumor suppressor gene at 11q23 that has recently been shown to be mutated in a subset of colorectal and lung cancers. We evaluated 5 ovarian carcinoma cell lines and 27 primary ovarian carcinomas for allelic losses of 11q23 and for mutations in the open reading frame of PPP2R1B. We also evaluated the primary tumors for allelic losses at 17p13, another chromosomal region frequently affected by losses of heterozygosity (LOH) in ovarian cancers. 11q23 and 17p13 allelic losses were identified in 25% and 74% of the carcinomas, respectively. No mutations within PPP2R1B coding sequences were found. These findings indicate that mutations of the PPP2R1B gene are infrequent in ovarian cancer and that deletions affecting the distal portion of chromosome 11q in ovarian cancer likely target inactivation of other genes. [ABSTRACT FROM AUTHOR]
- Published
- 1999
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4. An algorithm for standardization of tumor Infiltrating lymphocyte evaluation in head and neck cancers.
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Xirou, Vasiliki, Moutafi, Myrto, Bai, Yalai, Nwe Aung, Thazin, Burela, Sneha, Liu, Matthew, Kimple, Randall J., Shabbir Ahmed, Fahad, Schultz, Bryant, Flieder, Douglas, Connolly, Denise C., Psyrri, Amanda, Burtness, Barbara, and Rimm, David L.
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HEAD & neck cancer , *TUMOR-infiltrating immune cells , *PROGRESSION-free survival , *SQUAMOUS cell carcinoma , *PROGNOSIS , *HUMAN papillomavirus - Abstract
• Development of machine-learning algorithm for objective classification of TIL with QuPath. • Standardized methodology for TIL assessment considering tumor microenvironment. • Independent prognostic value of TIL in HPV positive and negative HNSCC. The prognostic and predictive significance of pathologist-read tumor infiltrating lymphocytes (TILs) in head and neck cancers have been demonstrated through multiple studies over the years. TILs have not been broadly adopted clinically, perhaps due to substantial inter-observer variability. In this study, we developed a machine-based algorithm for TIL evaluation in head and neck cancers and validated its prognostic value in independent cohorts. A network classifier called NN3-17 was trained to identify and calculate tumor cells, lymphocytes, fibroblasts and "other" cells on hematoxylin-eosin stained sections using the QuPath software. These measurements were used to construct three predefined TIL variables. A retrospective collection of 154 head and neck squamous cell cancer cases was used as the discovery set to identify optimal association of TIL variables and survival. Two independent cohorts of 234 cases were used for validation. We found that electronic TIL variables were associated with favorable prognosis in both the HPV-positive and -negative cases. After adjusting for clinicopathologic factors, Cox regression analysis demonstrated that electronic total TILs% (p = 0.025) in the HPV-positive and electronic stromal TILs% (p < 0.001) in the HPV-negative population were independent markers of disease specific outcomes (disease free survival). Neural network TIL variables demonstrated independent prognostic value in validation cohorts of HPV-positive and HPV-negative head and neck cancers. These objective variables can be calculated by an open-source software and could be considered for testing in a prospective setting to assess potential clinical implications. [ABSTRACT FROM AUTHOR]
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- 2024
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5. Focus on epithelial ovarian cancer
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Ozols, Robert F., Bookman, Michael A., Connolly, Denise C., Daly, Mary B., Godwin, Andrew K., Schilder, Russell J., Xu, Xiangxi, and Hamilton, Thomas C.
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- 2004
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6. Genetic and Pharmacologic Inhibition of Complement Impairs Endothelial Cell Function and Ablates Ovarian Cancer Neovascularization.
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Nunez-Cruz, Selene, Gimotty, Phyllis A., Guerra, Matthew W., Connolly, Denise C., You-Qiang Wu, DeAngelis, Robert A., Lambris, John D., Coukos, George, and Scholler, Nathalie
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ENDOTHELIAL cells , *OVARIAN cancer , *PHARMACOLOGY , *NEOVASCULARIZATION , *LYMPHOCYTES , *TUMORS , *ENZYME activation , *CELLULAR immunity - Abstract
Complement activation plays a critical role in controlling inflammatory responses. To assess the role of complement during ovarian cancer progression, we crossed two strains of mice with genetic complement deficiencies with transgenic mice that develop epithelial ovarian cancer (TgMISIIR-TAg). TgMISIIR-TAg mice fully or partially deficient for complement factor 3 (C3) (Tg+C3KO and Tg+C3HET, respectively) or fully deficient for complement factor C5a receptor (C5aR) (Tg+C5aRKO) develop either no ovarian tumors or tumors that were small and poorly vascularized compared to wild-type littermates (Tg+C3WT, Tg+C5aRWT). The percentage of tumor infiltrating immune cells in Tg+C3HET tumors compared to Tg+C3WT controls was either similar (macrophages, B cells, myeloid-derived suppressor cells), elevated (effector T cells), or decreased (regulatory T cells). Regardless of these ratios, cytokine production by immune cells taken from Tg+C3HET tumors was reduced on stimulation compared to Tg+C3WT controls. Interestingly, CD31+ endothelial cell (EC) function in angiogenesis was significantly impaired in both C3KO and C5aRKO mice. Further, using the C5aR antagonist PMX53, tube formation of ECs was shown to be C5a-dependent, possibly through interactions with the VEGF165 but not VEGF121 isoform. Finally, the mouse VEGF164 transcript was underexpressed in C3KO livers compare to C3WT livers. Thus, we conclude that complement inhibition blocks tumor outgrowth by altering EC function and VEGF165 expression. [ABSTRACT FROM AUTHOR]
- Published
- 2012
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7. Targeting Serous Epithelial Ovarian Cancer with Designer Zinc Finger Transcription Factors.
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Lara, Haydee, Wang, Yuhua, Beltran, Adriana S., Juárez-Moreno, Karla, Xinni Yuan, Sumie Kato, Leisewitz, Andrea V., Fredes, Mauricio Cuello, Licea, Alexei F., Connolly, Denise C., Huang, Leaf, and Blancafort, Pilar
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ZINC-finger proteins , *TRANSCRIPTION factors , *CANCER genetics , *OVARIAN cancer , *CANCER cell growth , *GENETIC regulation , *GENE expression , *METASTASIS - Abstract
Ovarian cancer is the leading cause of death among gynecological malignancies. It is detected at late stages when the disease is spread through the abdominal cavity in a condition known as peritoneal carcinomatosis. Thus, there is an urgent need to develop novel therapeutic interventions to target advanced stages of ovarian cancer. Mammary serine protease inhibitor (Maspin) represents an important metastasis suppressor initially identified in breast cancer. Herein we have generated a sequence-specific zinc finger artificial transcription factor (ATF) to up-regulate the Maspin promoter in aggressive ovarian cancer cell lines and to interrogate the therapeutic potential of Maspin in ovarian cancer. We found that although Maspin was expressed in some primary ovarian tumors, the promoter was epigenetically silenced in cell lines derived from ascites. Transduction of the ATF in MOVCAR 5009 cells derived from ascitic cultures of a TgMISIIR-TAg mouse model of ovarian cancer resulted in tumor cell growth inhibition, impaired cell invasion, and severe disruption of actin cytoskeleton. Systemic delivery of lipid-protamine-RNA nanoparticles encapsulating a chemically modified ATF mRNA resulted in inhibition of ovarian cancer cell growth in nude mice accompanied with Maspin re-expression in the treated tumors. Gene expression microarrays of ATF-transduced cells revealed an exceptional specificity for the Maspin promoter. These analyses identified novel targets coregulated with Maspin in human short-term cultures derived from ascites, such as TSPAN12, that could mediate the antimetastatic phenotype of the ATF. Our work outlined the first targeted, non-viral delivery of ATFs into tumors with potential clinical applications for metastatic ovarian cancers. [ABSTRACT FROM AUTHOR]
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- 2012
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8. Combined In Vivo Molecular and Anatomic Imaging for Detection of Ovarian Carcinoma--Associated Protease Activity and Integrin Expression in Mice.
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Hensley, Harvey H., Roder, Navid A., O'Brien, Shane W., Bickel, Laura E., Fang Xiao, Litwin, Sam, and Connolly, Denise C.
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OVARIAN cancer , *DRUG resistance , *LABORATORY mice , *MAGNETIC resonance imaging , *DRUG therapy - Abstract
Most patients with epithelial ovarian cancer (EOC) experience drug-resistant disease recurrence. Identification of new treatments is a high priority, and preclinical studies in mouse models of EOC may expedite this goal. We previously developed methods for magnetic resonance imaging (MRI) for tumor detection and quantification in a transgenic mouse model of EOC. The goal of this study was to determine whether three-dimensional (3D) fluorescence molecular tomography (FMT) and fluorescent molecular imaging probes could be effectively used for in vivo detection of ovarian tumors and response to therapy. Ovarian tumor-bearing TgMISIIR-TAg mice injected with fluorescent probes were subjected to MRI and FMT. Tumor-specific probe retention was identified in vivo by alignment of the 3D data sets, confirmed by ex vivo fluorescent imaging and correlated with histopathologic findings. Mice were treated with standard chemotherapy, and changes in fluorescent probe binding were detected by MRI andFMT. Ovarian tumors were detected using probes specific for cathepsin proteases,matrixmetalloproteinases (MMPs), and integrin αvβ3. Cathepsin and integrin αvβ3 probe activation and retention correlated strongly with tumor volume.MMP probe activation was readily detected in tumors but correlated less strongly with tumor volume. Tumor regression associated with response to therapy was detected and quantified by serial MRI and FMT. These results demonstrate the feasibility and sensitivity of FMT for detection and quantification of tumor-associated biologic targets in ovarian tumors and support the translational utility of molecular imaging to assess functional response to therapy in mouse models of EOC. [ABSTRACT FROM AUTHOR]
- Published
- 2012
- Full Text
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9. Complement anaphylatoxin C5a supports ovarian cancer development and controls the expression of VEGF164/165 isoforms
- Author
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Nunez-Cruz, Selene, Gimotty, Phyllis A., Guerra, Matthew W., Connolly, Denise C., Wu, You-Qiang, DeAngelis, Robert A., Lambris, John D., Coukos, George, and Scholler, Nathalie
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- 2012
- Full Text
- View/download PDF
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