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  • 1
    Online Resource
    Online Resource
    Institute of Electrical and Electronics Engineers (IEEE) ; 1976
    In:  IEEE Transactions on Systems, Man, and Cybernetics Vol. SMC-6, No. 4 ( 1976), p. 240-255
    In: IEEE Transactions on Systems, Man, and Cybernetics, Institute of Electrical and Electronics Engineers (IEEE), Vol. SMC-6, No. 4 ( 1976), p. 240-255
    Type of Medium: Online Resource
    ISSN: 0018-9472
    RVK:
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 1976
    detail.hit.zdb_id: 2034746-7
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  • 2
    Online Resource
    Online Resource
    Elsevier BV ; 1974
    In:  Animal Behaviour Vol. 22, No. 3 ( 1974-08), p. 617-627
    In: Animal Behaviour, Elsevier BV, Vol. 22, No. 3 ( 1974-08), p. 617-627
    Type of Medium: Online Resource
    ISSN: 0003-3472
    Language: English
    Publisher: Elsevier BV
    Publication Date: 1974
    detail.hit.zdb_id: 1461112-0
    SSG: 12
    SSG: 5,2
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  • 3
    Online Resource
    Online Resource
    Informa UK Limited ; 1969
    In:  Archives of Environmental Health: An International Journal Vol. 19, No. 6 ( 1969-12), p. 768-769
    In: Archives of Environmental Health: An International Journal, Informa UK Limited, Vol. 19, No. 6 ( 1969-12), p. 768-769
    Type of Medium: Online Resource
    ISSN: 0003-9896
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 1969
    detail.hit.zdb_id: 2065945-3
    detail.hit.zdb_id: 2245971-6
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  • 4
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 1973
    In:  Kybernetik Vol. 12, No. 2 ( 1973-02), p. 55-57
    In: Kybernetik, Springer Science and Business Media LLC, Vol. 12, No. 2 ( 1973-02), p. 55-57
    Type of Medium: Online Resource
    ISSN: 0023-5946
    RVK:
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 1973
    detail.hit.zdb_id: 1458477-3
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  • 5
    Online Resource
    Online Resource
    Elsevier BV ; 1965
    In:  Journal of Chronic Diseases Vol. 18, No. 4 ( 1965-4), p. 397-403
    In: Journal of Chronic Diseases, Elsevier BV, Vol. 18, No. 4 ( 1965-4), p. 397-403
    Type of Medium: Online Resource
    ISSN: 0021-9681
    Language: English
    Publisher: Elsevier BV
    Publication Date: 1965
    detail.hit.zdb_id: 2198461-X
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  • 6
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 74, No. 19_Supplement ( 2014-10-01), p. 2059-2059
    Abstract: Antibody drug conjugates (ADCs) are clinically validated as a modality for targeted therapy of solid and hematological cancer due to advancements in target selection, conjugation chemistry and linker technology. However, much about mechanism of action (MoA) is yet to be fully understood. Our goal was to interrogate ADC pharmacokinetics and pharmacodynamics establishing proof of mechanism (PoM) of drug action with a diverse panel of ADCs. Herein, we describe the development of novel immunohistochemical (IHC) methods for in situ visualization of ADCs binding to target expressing cells and their cognate downstream biomarkers of response in formalin fixed paraffin embedded cells/tissues. We demonstrate specific binding of 4 different ADCs spanning 2 solid tumor targets and an endothelial cell target using IHC with anti-human IgG in human tumor xenograft models expressing the respective targets. ADC binding to target is observed as early as 20 minutes after a single dose of ADC at 3 mg/kg. Utilizing an anti-microtubule inhibitor (MTI) payload-specific antibody we additionally detect ADC binding to tumor cells by monitoring the cytotoxic payload. The cell type where the antibodies and payload localized was identified by double and triple IHC. Pharmacodynamic biomarkers of response for two payload classes (DNA damaging agents and MTIs) were detected with antibodies against phospho-Histone H2AX and phospho-Histone H3, respectively - confirming the expected ADC MoAs. Downstream apoptosis of target cells was detected with cleaved caspase 3 IHC. The kinetics of biomarker response and downstream cellular impact was quantified via image analysis with biomarkers evident as early as 24 hours after a single dose for both tumor cell and vascular targets. Furthermore, we observed a correlation between biomarkers of response and efficacy of the ADCs as measured by statistically significant tumor growth inhibition for the 4 ADCs we studied. These data suggest that IHC interrogations of drug action should be used to further the clinical development of ADCs via demonstration of pharmacodynamic activities at the cellular level, establishing PoM data, and enabling predictive preclinical oncology models in order to reduce clinical attrition of ADCs. Citation Format: Jonathon Golas, Andrea T. Hooper, Justin Lucas, Heather Jones, Timothy Nichols, Kiran Khandke, Manoj Charati, Roger Conant, Michael Cinque, Judy Lucas, Marc Damelin, Ken Geles, Caiazzo Teresa, Frank Loganzo, Puja Sapra, Hans-Peter Gerber, Chad May. In situ imaging of antibody drug conjugate (ADC) binding and pharmacodynamic biomarkers of response in models of human 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 2059. doi:10.1158/1538-7445.AM2014-2059
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2014
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 7
    Online Resource
    Online Resource
    Informa UK Limited ; 1981
    In:  International Journal of General Systems Vol. 7, No. 1 ( 1981-05), p. 93-107
    In: International Journal of General Systems, Informa UK Limited, Vol. 7, No. 1 ( 1981-05), p. 93-107
    Type of Medium: Online Resource
    ISSN: 0308-1079 , 1563-5104
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 1981
    detail.hit.zdb_id: 2020979-4
    detail.hit.zdb_id: 7328-3
    SSG: 25
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  • 8
    Online Resource
    Online Resource
    Informa UK Limited ; 1988
    In:  International Journal of General Systems Vol. 14, No. 2 ( 1988-05), p. 125-141
    In: International Journal of General Systems, Informa UK Limited, Vol. 14, No. 2 ( 1988-05), p. 125-141
    Type of Medium: Online Resource
    ISSN: 0308-1079 , 1563-5104
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 1988
    detail.hit.zdb_id: 2020979-4
    detail.hit.zdb_id: 7328-3
    SSG: 25
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  • 9
    Online Resource
    Online Resource
    Informa UK Limited ; 1983
    In:  International Journal of General Systems Vol. 9, No. 4 ( 1983-01), p. 235-247
    In: International Journal of General Systems, Informa UK Limited, Vol. 9, No. 4 ( 1983-01), p. 235-247
    Type of Medium: Online Resource
    ISSN: 0308-1079 , 1563-5104
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 1983
    detail.hit.zdb_id: 2020979-4
    detail.hit.zdb_id: 7328-3
    SSG: 25
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  • 10
    Online Resource
    Online Resource
    SAGE Publications ; 1992
    In:  Medical Decision Making Vol. 12, No. 4 ( 1992-12), p. 280-285
    In: Medical Decision Making, SAGE Publications, Vol. 12, No. 4 ( 1992-12), p. 280-285
    Abstract: It has been suggested that clinical prediction rules are not reproducible, and that the most important variables frequently do not appear in replicate models. The authors studied the reproducibility of a validated rule for predicting radiographic evidence of pneumonia (ROC areas for the training and validation cohorts, 0.816 and 0.821, respectively). Two hundred replicate samples of size 250 and size 500 were generated by sampling without replacement from the original training cohort of 905 patients with a 14.6% prevalence of pneumonia. Forward selection was performed among 31 candidate variables by stepwise logistic regres sion. Using as reproducibility criteria: 1) inclusion of all five variables from the original model in the original order; 2) inclusion of all five variables in any order; 3) inclusion of the first three variables; 4) inclusion of the first two variables; 5) inclusion of the first variable; and 6) inclusion of any of the five variables: 2.5%, 13.5%, 48.5%, 85.5%, 98.0%, and 100% of replicate models of sample size 500, respectively, met the criteria, whereas 0%, 0%, 16.5%, 49.0%, 71.5%, and 97.5% of models of sample size 250 met the criteria (all comparisons by sample size p 〈 .0001 except for criteria 1 and 6, p = 0.07). Mean ROC areas in the training and validation samples were 0.829 and 0.791 for replicate models of sample size 500, and 0.831 and 0.779 for models of sample size 250. There was no significant difference in ROC areas between training and validation cohorts for 80.5% of models of sample size 500, and for 75.3% of models of sample size 250. It is concluded that the most important predictor variables from a validated rule were included in the majority of replicate models, although the rule itself was reproduced in only a small minority of cases. In addition, the replicate models demonstrated good discriminatory power, and met statistical criteria for validation in an independent testing sample in a high percentage of cases. Key words: clinical prediction rules; replicate models; validation. (Med Decis Making 1992;12:280-285)
    Type of Medium: Online Resource
    ISSN: 0272-989X , 1552-681X
    Language: English
    Publisher: SAGE Publications
    Publication Date: 1992
    detail.hit.zdb_id: 2040405-0
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