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  • American Association for Cancer Research (AACR)  (2)
  • 1
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 73, No. 8_Supplement ( 2013-04-15), p. 4543-4543
    Kurzfassung: The vast majority of cancer treatments currently administered to patients consist of combinations of more than one drug via routine infusions that adhere to specific dosing schedules. It is thought that this multi-arm and time dependent approach will kill not only the tumor cells within the primary site, but also any metastatic lesions, and importantly, any circulating tumor cells (CTCs) which may still exist in the blood. Combination therapies have also been developed as a means to reduce general cytotoxic side effects and prevent resistance and recurrence. Our labs have recently developed a high throughput screening platform to test compounds in pair-wise combinations to rapidly and systematically identify additive, synergistic and antagonistic drug combinations. This HTS capability can easily generate hundreds of dose response matrices in a single study and can increase significantly when applied to multiple cell lines. We are using this combination screening platform with in vitro models from both established cell lines and primary patient material, and we expect it will serve as a very valuable tool and a starting point when designing clinical trials after these combinations show promise within in vivo models. In a proof of concept study, we tested combinations of compounds that effectively kill 2 established lines of the ABC sub-type of diffuse large B-cell lymphoma (DLBCL); TMD8 and HBL1. We will present the infrastructure and methods that we have developed to implement the combination screens, visualize data from the combination dose response comparisons and numerically compare combinations in terms of their response matrices. We will also describe how this approach allows us to investigate putative polypharmacological effects that play a role in compound combination responses. Finally, we will show the results of a combination screen with TMD8 and HBL1 cells, including the identification of a novel drug-drug combination for the BTK inhibitor ibrutinib (PCI-32765) which is of both basic and translational interest for the treatment of DLBCL. Citation Format: Lesley A. Mathews, Rajarshi Guha, Paul Shinn, Ryan M. Young, Kian-Huat Lim, Jonathan Keller, Dongbo Liu, Adam Yasgar, Crystal McKnight, Matthew B. Boxer, Damien Y. Duveau, Jian-kang Jiang, Sam Michael, Bryan T. Mott, Paresma R. Patel, William Leister, David J. Maloney, Christopher A. LeClair, Ganesha Rai, Ajit Jadhav, Brian D. Peyser, Christopher P. Austin, Scott Martin, Anton Simeonov, Marc Ferrer, Louis Staudt, Craig J. Thomas. High-throughput combination screening identifies novel drug-drug pairings for a Bruton's tyrosine kinase inhibitor against the ABC subtype of diffuse large B-cell lymphomas. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 4543. doi:10.1158/1538-7445.AM2013-4543
    Materialart: Online-Ressource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Sprache: Englisch
    Verlag: American Association for Cancer Research (AACR)
    Publikationsdatum: 2013
    ZDB Id: 2036785-5
    ZDB Id: 1432-1
    ZDB Id: 410466-3
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 2
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 30, No. 4 ( 2021-04-01), p. 623-642
    Kurzfassung: It is not known whether modifiable lifestyle factors that predict survival after invasive breast cancer differ by subtype. Methods: We analyzed data for 121,435 women diagnosed with breast cancer from 67 studies in the Breast Cancer Association Consortium with 16,890 deaths (8,554 breast cancer specific) over 10 years. Cox regression was used to estimate associations between risk factors and 10-year all-cause mortality and breast cancer–specific mortality overall, by estrogen receptor (ER) status, and by intrinsic-like subtype. Results: There was no evidence of heterogeneous associations between risk factors and mortality by subtype (Padj & gt; 0.30). The strongest associations were between all-cause mortality and BMI ≥30 versus 18.5–25 kg/m2 [HR (95% confidence interval (CI), 1.19 (1.06–1.34)]; current versus never smoking [1.37 (1.27–1.47)] , high versus low physical activity [0.43 (0.21–0.86)], age ≥30 years versus & lt;20 years at first pregnancy [0.79 (0.72–0.86)]; & gt;0– & lt;5 years versus ≥10 years since last full-term birth [1.31 (1.11–1.55)]; ever versus never use of oral contraceptives [0.91 (0.87–0.96)] ; ever versus never use of menopausal hormone therapy, including current estrogen–progestin therapy [0.61 (0.54–0.69)]. Similar associations with breast cancer mortality were weaker; for example, 1.11 (1.02–1.21) for current versus never smoking. Conclusions: We confirm associations between modifiable lifestyle factors and 10-year all-cause mortality. There was no strong evidence that associations differed by ER status or intrinsic-like subtype. Impact: Given the large dataset and lack of evidence that associations between modifiable risk factors and 10-year mortality differed by subtype, these associations could be cautiously used in prognostication models to inform patient-centered care.
    Materialart: Online-Ressource
    ISSN: 1055-9965 , 1538-7755
    Sprache: Englisch
    Verlag: American Association for Cancer Research (AACR)
    Publikationsdatum: 2021
    ZDB Id: 2036781-8
    ZDB Id: 1153420-5
    Standort Signatur Einschränkungen Verfügbarkeit
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