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  • 1
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 1997
    In:  Anti-Cancer Drugs Vol. 8, No. 7 ( 1997-08), p. 696-701
    In: Anti-Cancer Drugs, Ovid Technologies (Wolters Kluwer Health), Vol. 8, No. 7 ( 1997-08), p. 696-701
    Type of Medium: Online Resource
    ISSN: 0959-4973
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 1997
    detail.hit.zdb_id: 2025803-3
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  • 2
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 72, No. 8_Supplement ( 2012-04-15), p. 2672-2672
    Abstract: Enzymatic degradation of hyaluronan (HA), a key component of the extracellular matrix (ECM), can enhance tumor perfusion, improve delivery of chemotherapeutics, and enhance the effects of anti-tumor agents. Recombinant human hyaluronidase (rHuPH20), used clinically to facilitate local dispersion and absorption after subcutaneous delivery, is rapidly cleared from the blood after intravenous (IV) injection. To prolong serum residence time, a pegylated form of rHuPH20 was manufactured and shown to have anti-tumor activities in preclinical models (Thompson et al., Mol Cancer Ther 2010). PEGPH20 is a novel agent in early clinical trials to evaluate the safety and biological activities of hyaluronidase-based therapy. Twenty-three patients enrolled in two Phase 1 trials received IV PEGPH20 (0.5 - 50 μg/kg). To assess PEGPH20 PK, serial blood samples were drawn from patients, and plasma concentrations were measured using an in vitro hyaluronidase activity assay (LLOQ 0.3 U/mL). Plasma levels of HA catabolites were measured using a quantitative HPLC method to characterize PD. After a single 50 μg/kg dose, the PEGPH20 PK profile was well described by a two-compartment open model with a low initial distribution volume (V1 ∼ 60 mL/kg) and a terminal half-life of ∼2 days. Observed Cmax and AUC0-8hr values increased with increasing dose, suggesting linearity within the dose range. Model simulations derived from single-dose PK parameters were predictive of plasma concentrations from patients who received twice weekly dosing. There was no evidence for accumulation of PEGPH20 in the plasma after multiple dosing. Systemic concentrations of HA catabolites were measured to assess the PEGPH20 PD. HA levels detected 24 hours post administration increased with increasing dose of PEGPH20. Observed Cmax and AUC0-168hr values were also dose-dependent. After a 50 μg/kg bolus, HA concentrations increased 100-fold above baseline and persisted for & gt;2 weeks. Repeat dosing with PEGPH20 resulted in sustained plasma concentrations of HA catabolites. Inter-patient variability in PD was notably greater than inter-patient variability in PK. Initial clinical PK/PD analysis indicates that systemic exposure after IV PEGPH20 is proportional to dose and is well described by a two-compartment PK model. Dose-dependent increases in HA catabolites provided a quantitative measure of PEGPH20 PD, consistent with the enzymatic activity of hyaluronidase. These data support continued evaluation of PEGPH20 to enhance delivery of anti-tumor agents via modification of the ECM. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 2672. doi:1538-7445.AM2012-2672
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2012
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    detail.hit.zdb_id: 410466-3
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  • 3
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 1997
    In:  Cancer Chemotherapy and Pharmacology Vol. 40, No. 1 ( 1997-4-8), p. 81-86
    In: Cancer Chemotherapy and Pharmacology, Springer Science and Business Media LLC, Vol. 40, No. 1 ( 1997-4-8), p. 81-86
    Type of Medium: Online Resource
    ISSN: 0344-5704 , 1432-0843
    Language: Unknown
    Publisher: Springer Science and Business Media LLC
    Publication Date: 1997
    detail.hit.zdb_id: 1458488-8
    SSG: 15,3
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  • 4
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2013
    In:  BMC Genomics Vol. 14, No. 1 ( 2013-12)
    In: BMC Genomics, Springer Science and Business Media LLC, Vol. 14, No. 1 ( 2013-12)
    Abstract: Identifying similarities and differences in the molecular constitutions of various types of cancer is one of the key challenges in cancer research. The appearances of a cancer depend on complex molecular interactions, including gene regulatory networks and gene-environment interactions. This complexity makes it challenging to decipher the molecular origin of the cancer. In recent years, many studies reported methods to uncover heterogeneous depictions of complex cancers, which are often categorized into different subtypes. The challenge is to identify diverse molecular contexts within a cancer, to relate them to different subtypes, and to learn underlying molecular interactions specific to molecular contexts so that we can recommend context-specific treatment to patients. Results In this study, we describe a novel method to discern molecular interactions specific to certain molecular contexts. Unlike conventional approaches to build modular networks of individual genes, our focus is to identify cancer-generic and subtype-specific interactions between contextual gene sets, of which each gene set share coherent transcriptional patterns across a subset of samples, termed contextual gene set . We then apply a novel formulation for quantitating the effect of the samples from each subtype on the calculated strength of interactions observed. Two cancer data sets were analyzed to support the validity of condition-specificity of identified interactions. When compared to an existing approach, the proposed method was much more sensitive in identifying condition-specific interactions even in heterogeneous data set. The results also revealed that network components specific to different types of cancer are related to different biological functions than cancer-generic network components. We found not only the results that are consistent with previous studies, but also new hypotheses on the biological mechanisms specific to certain cancer types that warrant further investigations. Conclusions The analysis on the contextual gene sets and characterization of networks of interaction composed of these sets discovered distinct functional differences underlying various types of cancer. The results show that our method successfully reveals many subtype-specific regions in the identified maps of biological contexts, which well represent biological functions that can be connected to specific subtypes.
    Type of Medium: Online Resource
    ISSN: 1471-2164
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2013
    detail.hit.zdb_id: 2041499-7
    SSG: 12
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  • 5
    Online Resource
    Online Resource
    Frontiers Media SA ; 2020
    In:  Frontiers in Oncology Vol. 10 ( 2020-9-2)
    In: Frontiers in Oncology, Frontiers Media SA, Vol. 10 ( 2020-9-2)
    Abstract: GZ17-6.02 (602) is presently under phase I clinical evaluation (NCT03775525). We defined the mechanisms by which it interacted with a standard of care therapeutic doxorubicin to kill sarcoma cells. Doxorubicin and 602 interacted to rapidly activate ATM and c-MET, inactivate mTOR, AKT, and p70 S6K, enhance the expression of Beclin1 and reduce the levels of K-RAS and N-RAS. This was followed later by the drugs interacting to reduce expression of MCL-1, BCL-XL, and HDAC6. Knock down of ATM prevented the drugs alone or in combination inactivating mTOR or activating ULK1. Knock down of c-MET significantly enhanced [doxorubicin + 602] lethality. Knock down of ATM and to a greater extent ULK1, Beclin1, or ATG5 significantly reduced killing by 602 alone or when combined with doxorubicin. Expression of an activated mTOR mutant suppressed killing, autophagosome formation and prevented autophagic flux. In the absence of Beclin1, knock down of CD95, or FADD, or over-expression of c-FLIP-s or BCL-XL abolished tumor cell killing. We conclude that 602 and doxorubicin interact to increase autophagosome formation and autophagic flux as well as causing elevated death receptor signaling resulting in mitochondrial dysfunction and tumor cell death.
    Type of Medium: Online Resource
    ISSN: 2234-943X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2020
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  • 6
    In: Annals of Oncology, Elsevier BV, Vol. 25 ( 2014-06), p. ii21-
    Type of Medium: Online Resource
    ISSN: 0923-7534
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2014
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  • 7
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 74, No. 19_Supplement ( 2014-10-01), p. 1067-1067
    Abstract: Triple negative breast cancer (TNBC) is a heterogeneous, basal like tumor category for which there is no molecular targeted therapy that has significantly improved overall patient survival. While genomic sequencing has been conducted on primary triple negative breast cancers, these data may not correspond to metastatic TNBC because the metastatic colonies may comprise a subclone of the primary. Moreover, it has been difficult to identify the true driver mutations in the primary tumor. We have hypothesized that evaluation of the protein signal transduction pathways within the tumor-stromal microenvironment of the metastatic tumor may be vastly different than the primary tumor and can provide potential clues to the driver mutations and stromal interactions. Somatic genomic mutations and RNA-Seq profiles were previously cataloged for a set of 14 fresh frozen metastatic TNBC samples. TP53, LRP1B, HERC1, CDH5, RB1, and NF1 were mutated in multiple tumors. FOXM1 gene overexpression was noted in tumor samples compared to non-malignant breast samples. To complement the genetic data, we evaluated more than 70 signal transduction proteins in tumor and stroma for 13 of the metastatic TNBC samples from this cohort. The samples represented lymph node (n=5) and local and distant soft tissue (n=8) metastasis. For proteomic analysis, purified populations of tumor and adjacent stromal cells were collected by Laser Capture Microdissection. Cell signaling pathway proteins were quantified by reverse phase protein microarray. Proteins from diverse pathways were included to: a) correlate our proteomic data with the previous genomic data, b) potentially identify previously unrecognized pathways involved in TNBC metastatic disease, and c) evaluate the tumor-stroma microenvironment in metastatic TNBC. We compared the signaling network of the tumor and its matched stroma to investigate tumor-stroma crosstalk. We also compared the signal pathways to the genomic abnormalities of the matched lesion. We confirmed the down regulation of endocrine (ER, AR, ProgRec) and Her2 pathways. phosphoJAK2 and Her4 (total) were both markedly downregulated. Signal pathway data provided information about the functional importance of the genomic data. Understanding the molecular underpinnings of metastatic TNBC may help elucidate genomic and proteomic alterations which can potentially lead to new strategies for individualizing therapy of metastasis. Citation Format: Virginia A. Espina, Joyce A. O'Shaughnessy, Maren K. Levin, David W. Craig, John D. Carpten, Daniel Von Hoff, Lance A. Liotta. Somatic genomic mutations, RNA-Seq, and proteomic signal transduction network analysis of tumor and stroma in metastatic triple negative breast cancer. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 1067. doi:10.1158/1538-7445.AM2014-1067
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2014
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    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 8
    Online Resource
    Online Resource
    Impact Journals, LLC ; 2022
    In:  Oncotarget Vol. 13, No. 1 ( 2022-02-04), p. 281-290
    In: Oncotarget, Impact Journals, LLC, Vol. 13, No. 1 ( 2022-02-04), p. 281-290
    Type of Medium: Online Resource
    ISSN: 1949-2553
    URL: Issue
    Language: English
    Publisher: Impact Journals, LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2560162-3
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  • 9
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2011
    In:  Cancer Research Vol. 71, No. 8_Supplement ( 2011-04-15), p. 2601-2601
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 71, No. 8_Supplement ( 2011-04-15), p. 2601-2601
    Abstract: ROCK1, or Rho-associated coiled coil-containing protein kinase 1, is a multifunctional member of the AGC (protein kinase A/G/C) kinase family that has been implicated in the modulation of stress-fiber assembly, cell-cell adhesion, cell contraction, apoptosis, cytokinesis, and in the migration and invasion of multiple cell types. Increased ROCK1 expression has been observed in a number of pathological conditions, including cancer. We identified a low frequency (4/34) amplification of the ROCK1 gene locus at chromosome 18q11.1 in pancreatic ductal adenocarcinoma (PDA) patient tissue samples by aCGH analysis. We therefore hypothesized that ROCK1 might play an important role in pancreatic cancer progression, and may serve as a suitable target in pancreatic cancer treatment. Consistent with findings in other tumor types, we observed increased expression of ROCK1 in pancreatic epithelial cells relative to the surrounding stromal cells, or adjacent normal pancreatic ductal cells, in an immunohistochemical (IHC) analysis of a pancreatic cancer tissue array. In our study, 76% (53/70) of tumor samples exhibited 2+ or greater (scale 0-3+) in staining intensity by IHC analysis, versus 40% (19/47) of adjacent normal tissue samples (P & lt;0.0001). This same increased expression of ROCK1 in cancer cells was also observed in a coculture model of human PDA cells and primary myofibroblast cells derived from PDA tissues. Inhibition of ROCK kinase activity by small molecule inhibitors (Fasudil and Y27632) demonstrated moderate (IC50s range from 2-30 μM) inhibition of PDA cell proliferation. An increased sensitivity to ROCK1 inhibition was observed in PDA myofibroblasts, which corresponded with a decreased expression of Collagen I. These results suggest that ROCK1 may play a role in pancreatic cancer, both in the proliferation of tumor epithelial cells, as well as the development of the stromal compartment. Based on these findings we feel that ROCK1 is a potential therapeutic target in both the tumor and stromal cells in pancreatic cancer, and may provide an effective means to enhance current treatment regimens. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 2601. doi:10.1158/1538-7445.AM2011-2601
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2011
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  • 10
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 79, No. 13_Supplement ( 2019-07-01), p. CT014-CT014
    Abstract: Background: Leukemia Inhibitory Factor (LIF) is a pleiotropic cytokine involved in many physiological and pathological processes. LIF is highly expressed in a subset of tumors across multiple solid tumor types and has been shown to correlate with poor prognosis. LIF is hypothesized to contribute to tumor growth and progression by acting on multiple aspects of cancer biology, including immunosuppression of the tumor microenvironment (TME), and regulation of cancer initiating cells (CICs), which are thought to underpin tumor growth, metastasis, and resistance to therapy. MSC-1 is a first-in-class humanized IgG1 monoclonal antibody that potently and selectively inhibits LIF. Blocking LIF with MSC-1 decreased tumor growth in multiple mouse tumor models, drove reprogramming of the TME through effects on immunosuppressive macrophages, and generated durable regressions when combined with anti-PD1. These findings form the basis of a robust therapeutic hypothesis, that MSC-1 treatment may lead to clinical activity in multiple cancer indications. Methods: The Phase 1 study of MSC-1 is enrolling patients with advanced relapsed/refractory solid tumors. The study employs an accelerated 3+3 escalation design to explore safety, PK, LIF peripheral target engagement, immuno-regulatory activity, and preliminary anti-tumor activity of MSC-1. Patients receive treatment with MSC-1 intravenously once every three-weeks until confirmed disease progression or intolerable toxicity. At the top three dose levels, the cohorts will be expanded to further assess safety, PK/target engagement, and to preliminarily assess MOA biomarkers in paired pre- and on treatment tumor tissue from patients. The Dose and Expanded Escalation will enroll patients without regard to their pretreatment LIF tumor levels. Results: As of January 28, 2019, dosing has occurred in 14 patients in the 5 preplanned Dose Escalation cohorts (225mg-1500mg) as well as in 15 patients in the expanded cohorts at 750mg and 1125mg doses for additional safety, PK/PD and biomarker analysis, including analysis of pretreatment and on treatment tumor biopsies in a subset. There have been no DLTs observed at any dose, and analysis of data to select a RP2D for Dose Expansion is ongoing. Citation Format: Alison Schram, Anna Spreafico, Marc Oliva, Irene Brana, Elena Garralda, Nehal Lakhani, Daniel Von Hoff, Erkut Borazanci, Naimish Pandya, Kimberly Hoffman, Robin Hallett, Patricia Giblin, Judit Anido, Adrianne Kelly, Robert Wasserman, Joan Seoane, Lillian Siu, David M. Hyman, Josep Tabernero. Initial results from the Phase I study of MSC-1, a humanized anti-LIF monoclonal antibody, in patients with advanced solid tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr CT014.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2019
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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