Dataset Information

Kosinsky2018 - Radiation and PD-(L)1 treatment combinations

ABSTRACT: This is a quantitative systems pharmacology (QSP) model that describes key elements of the cancer immunity cycle and the tumor microenvironment, tumor growth, as well as dose-exposure-target modulation features. The model describes the synergistic kinetic effects underlying immune cell interactions as linked to tumor size modulation under immunotherapeutic and radiological treatments.

SUBMITTER: Johannes Meyer

PROVIDER: BIOMD0000000863 | BioModels | 2019-11-14

REPOSITORIES: BioModels

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Publications

Radiation and PD-(L)1 treatment combinations: immune response and dose optimization via a predictive systems model.

Kosinsky Yuri Y Dovedi Simon J SJ Peskov Kirill K Voronova Veronika V Chu Lulu L Tomkinson Helen H Al-Huniti Nidal N Stanski Donald R DR Helmlinger Gabriel G

Journal for immunotherapy of cancer 20180227 1

<h4>Background</h4>Numerous oncology combination therapies involving modulators of the cancer immune cycle are being developed, yet quantitative simulation models predictive of outcome are lacking. We here present a model-based analysis of tumor size dynamics and immune markers, which integrates experimental data from multiple studies and provides a validated simulation framework predictive of biomarkers and anti-tumor response rates, for untested dosing sequences and schedules of combined radia ...[more]

PMID: 29486799

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Project description:Relapsed/refractory Hodgkin lymphoma (HL) is an unmet medical need requiring new therapeutic options. Interactions between the histone deacetylase inhibitor Givinostat and the RAF/MEK/ERK inhibitor Sorafenib were examined in HDLM-2 and L-540 HL cell lines. Exposure to Givinostat/Sorafenib induced a synergistic inhibition of cell growth (range, 70- 80%) and a dramatic increase in cell death (up to 96%) due to increased H3 and H4 acetylation and strong mitochondrial injury. Gene expression profiling indicated that the synergistic effects of Givinostat/Sorafenib treatment are associated with the modulation of cell cycle and cell death pathways. Exposure to Givinostat/Sorafenib resulted in sustained production of reactive oxygen species (ROS) and activation of necroptotic cell death. The necroptosis inhibitor Necrostatin-1 prevented Givinostat/Sorafenib-induced ROS production, mitochondrial injury, activation of BH3-only protein BIM and cell death. Knockdown experiments identified BIM as a key signaling molecule that mediates Givinostat/Sorafenib-induced oxidative death of HL cells. Furthermore, in vivo xenograft studies demonstrated a 50% reduction in tumor burden (P < 0.0001), a 5- to 15-fold increase in BIM expression (P M-bM-^IM-$.0001) and a 4-fold increase in tumor necrosis in Givinostat/Sorafenib-treated animals compared to mice that received the single agents. These results provide a rationale for exploring Givinostat/Sorafenib combination in relapsed/refractory HL. The Hodgkin lymphoma cell line L-540 was obtained from the DSMZ (Braunschweig, Germany, EU). Cells were routinely maintained in RPMI medium 1640 (Lonza, Basel, Switzerland) supplemented with 20% FBS (Lonza) and 2 mM glutamine (Lonza). Cells were maintained at 37M-BM-0C in a water-saturated atmosphere of 5% CO2 in air. 10x10^6 L-540 cells were seeded in 75 cm2 flask and, after 24 hrs, cells were treated with 100 nM Givinostat (Italfarmaco SpA, Milan, Italy, EU) and/or 5 M-BM-5M sorafenib (Bayer, Berlin,M-bM-^@M-(Germany, EU) in culture medium for 24 hours. At the end of treatment, cells were collected and RNA was extracted.

Project description:Relapsed/refractory Hodgkin lymphoma (HL) is an unmet medical need requiring new therapeutic options. Interactions between the histone deacetylase inhibitor Givinostat and the RAF/MEK/ERK inhibitor Sorafenib were examined in HDLM-2 and L-540 HL cell lines. Exposure to Givinostat/Sorafenib induced a synergistic inhibition of cell growth (range, 70- 80%) and a dramatic increase in cell death (up to 96%) due to increased H3 and H4 acetylation and strong mitochondrial injury. Gene expression profiling indicated that the synergistic effects of Givinostat/Sorafenib treatment are associated with the modulation of cell cycle and cell death pathways. Exposure to Givinostat/Sorafenib resulted in sustained production of reactive oxygen species (ROS) and activation of necroptotic cell death. The necroptosis inhibitor Necrostatin-1 prevented Givinostat/Sorafenib-induced ROS production, mitochondrial injury, activation of BH3-only protein BIM and cell death. Knockdown experiments identified BIM as a key signaling molecule that mediates Givinostat/Sorafenib-induced oxidative death of HL cells. Furthermore, in vivo xenograft studies demonstrated a 50% reduction in tumor burden (P < 0.0001), a 5- to 15-fold increase in BIM expression (P M-bM-^IM-$.0001) and a 4-fold increase in tumor necrosis in Givinostat/Sorafenib-treated animals compared to mice that received the single agents. These results provide a rationale for exploring Givinostat/Sorafenib combination in relapsed/refractory HL. The Hodgkin lymphoma cell line HDLM-2 was obtained from the DSMZ (Braunschweig, Germany, EU). Cells were routinely maintained in RPMI medium 1640 (Lonza, Basel, Switzerland) supplemented with 20% FBS (Lonza) and 2 mM glutamine (Lonza). Cells were maintained at 37M-BM-0C in a water-saturated atmosphere of 5% CO2 in air. 10x10^6 HDLM-2 cells were seeded in 75 cm2 flask and, after 24 hrs, cells were treated with 100 nM Givinostat (Italfarmaco SpA, Milan, Italy, EU) and/or 5 M-BM-5M sorafenib (Bayer, Berlin,M-bM-^@M-(Germany, EU) in culture medium for 24 hours. At the end of treatment, cells were collected and RNA was extracted.

Project description:Combining direct anti-tumor effects with targeting of tumor microenvironment is an attractive strategy that may lead to more effective therapies for advanced melanoma. Here, we tested whether association of TRAIL with co-targeting of MEK and PI3K/mTOR, or with MEK blockade, could have synergistic anti-melanoma activity mediated not only by induction of tumor cell death, but also by effects on the tumor microenvironment. Drug interaction analysis by the Chou-Talalay approach in a panel of 21 melanoma cell lines indicated that strong synergism could be achieved by association of the MEK1/2 inhibitor AZD6244, the PI3K/mTOR inhibitor NPV-BEZ235 and TRAIL, as well as by the AZD6244/TRAIL combination. Synergism was observed on most tumors including TRAIL- or inhibitor-resistant melanomas, irrespective of the BRAF, NRAS, p53 and PTEN status, and was explained by enhanced induction of caspase-dependent melanoma apoptosis. The AZD/BEZ/TRAIL and AZD/TRAIL combinatorial treatments induced strong modulation of key apoptosis regulators along the extrinsic and intrinsic cell death pathways, including c-FLIP down-regulation, caspase-8 cleavage, BIMs and BAXa upregulation, clusterin and Mcl-1 inhibition, enhanced mitochondrial depolarization, suppression of inhibitors of apoptosis c-IAP1, c-IAP2, XIAP and Apollon, and caspase 3/7 activation. In an in vivo model, the AZD6244/TRAIL combinatorial treatment induced highly significant growth inhibition of a TRAIL-resistant tumor associated not only with melanoma cell death, but even with suppression of pro-angiogenic molecules HIF1a, VEGFa, IL-8 and TGFb1, and with inhibition of tumor angiogenesis. These results provide a proof of principle supporting the rationale for combinatorial treatments with synergistic anti-melanoma activity based on direct and indirect anti-tumor effects. The human melanoma cell line Me13 was established in our laboratory from a surgical specimen. Cells were routinely maintained in RPMI medium 1640 (Lonza, Basel, Switzerland) supplemented with 10% FBS (Lonza) and 2 mM glutamine (Lonza). Cells were maintained at 37°C in a water-saturated atmosphere of 5% CO2 in air. 3x10^6 cells were seeded in 75 cm2 flasks; after 24 hours, cells were left untreated or treated with Selumetinib (Selleck Chemicals, Houston, TX) at 0.1 micromol/L, NVP-BEZ-235 (Selleck Chemicals, Houston, TX) at 0.1 micromol/L and sTRAIL (AdipoGen) at 25ng/ml as single drugs or in combination for 8 hours. Each treatment or combination was performed in triplicate. At the end of treatment, cells were collected and RNA extracted.

Dataset Information

Kosinsky2018 - Radiation and PD-(L)1 treatment combinations

Publications

Radiation and PD-(L)1 treatment combinations: immune response and dose optimization via a predictive systems model.

Similar Datasets

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