Liu, Wei Michael

Abstract There is a significant unmet medical need to develop more effective treatments for cancers of the central and peripheral nervous systems. Glioblastoma multiforme (GBM) is the most common form of brain cancer, and successful long-term treatment has not been realized. Neuroblastomas (NB) arise in the sympathetic nervous system and are the most common extracranial solid tumor of childhood. Survival of children with disseminated, high-risk NB tumors is less than 50%, even with intensive multimodal treatment. To improve treatment outcome, inhibition of murine double minute 2 (MDM2) function in the context of front-line therapy is being explored. MDM2 is a multi-functional protein that plays a critical role in controlling cell growth and migration. MDM2 is a negative regulator of p53 and p73 and, under low stress conditions, sequesters them in the cytoplasm. However, inhibition of MDM2 interactions with p53 and p73 by the MDM2 antagonist nutlin3a can lead to activation of p53/p73-mediated cell-death in tumor cells. The objective of the present study was to evaluate the extent to which blockade of MDM2-p53/p73 interactions by nutlin3a, alone or in combination with front-line therapies, could augment cell death in GBM and NB cells with a variety of molecular profiles. Using the median effect model, we found that temozolomide (TMZ) and nutlin3a were synergistic in increasing cell death in wtp53 U87 and U373 but were predominantly additive in mtp53 U118 cells. Primary patient GBM cells were typically resistant to TMZ relative to established cell lines. However, resistance to TMZ was decreased in the presence of nutlin3a. Further, TMZ and nutlin3a were synergistic in primary GBM10 and GBM43 but not in recurrent primary IU-GBM16, IU-GBM23, IU-GBM27, and IU-GBM32 cells. Moreover, in NB cells with wtp53, nutlin3a and cisplatin were synergistic in MYCN nonamplified SK-N-SH and additive in MYCN amplified IMR5. In mtp53 NB cells, nutlin3a and cisplatin were synergistic in MYCN nonamplified SK-N-FI as well as in MYCN amplified SK-N-DZ. Nutlin3a alone produced dose-related increases in cell death of all GBM and NB cell lines irrespective of p53 status, suggesting that p53-independent mechanisms play a role in inhibition of cell growth produced by blockade of MDM2-mediated signaling. Consistent with this hypothesis, nutlin3a increased p73 protein levels in mtp53 GBM43 cells that were exposed to TMZ. Inhibition of MDM2 function also inhibited repair of TMZ-mediated DNA damage in GBM. In comet assays, nutlin3a+TMZ decreased DNA repair relative to TMZ alone in wtp53 U87 and GBM10 and in mtp53 GBM43 cells. The present results demonstrate that MDM2 is a valid therapeutic target in GBM and NB cells with varying genetic profiles. In conclusion, inhibition of MDM2 signaling by nutlin3a is generally synergistic to additive in combination with front-line chemotherapeutics used to treat cancers of the central and peripheral nervous systems. Citation Format: Harlan E. Shannon, Haiyan Wang, Shanbao Cai, Wei Michael Liu, Lawrence M. Gelbert, Aaron A. Cohen-Gadol, Jann N. Sarkaria, Lindsey D. Mayo, Karen E. Pollok. MDM2 as a therapeutic target: improving upon front-line chemotherapy for nervous system tumors. [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 3435. doi:10.1158/1538-7445.AM2013-3435

Abstract Glioblastoma (GBM) is the most common and malignant form of primary brain tumor. Average survival rate of GBM is 12-15 months from diagnosis. Due to its highly invasive nature, current treatment options have not been able to improve the survival rate in past 20 years. In order to discover GBM therapeutic targets, omics technologies have been widely used in order to identify potential biomarkers. Identification of cancer biomarkers for diagnosis and prognosis continues to evolve as clinical specimen pipelines and technologies are optimized. This research study focused on investigating proteins, metabolites and lipids biomarkers and patterns of human GBM xenografts employing mass spectrometry. Human tumor cell lines GBM 10 and GBM 43 were injected in the right cerebral hemisphere and flank sites in NOD/SCID mice (n = 10 mice per group). After harvesting brain and flank tumors and control brain from mouse models, protein, metabolites, and lipids of tumor samples were collected through one simple extraction procedure, which may solve sample preparation difficulties in omics studies, developed by Dr. Jiri Adamec. These samples were analyzed by reverse phase high performance liquid chromatography - Fourier transform ion cyclotron resonance mass spectrometry (LC-FTMS). FTMS analyzers have the highest resolving power of all MS instruments, which is ideal for complex mixtures such as GBM tissue. Spectra obtained from the FTMS analysis were analyzed using Student t-tests to detect significant differences in tissue profiles at a level of p = 0.05. Compounds below this threshold were identified through a database using the m/z ratio. Lipidomic analysis indicated the possible up and down-regulation of several lipids classes in GBM tissue connected to metabolic pathways, tumor proliferation and immunodepression, such as glycerophospholipids, both up- and down-regulated (e.g. PC38:4 or PG 35:2, respectively), and down-regulated glycosphingolipids (Galβ1-3GlcNAcβ1-3Galβ1-4Glc-Cer, Galβ1-4GlcNAcβ1-3Galβ1-4Glc-Cer), and triglycerides (TG 55:9, 53:4,52:8). We expect that integrated studies of proteomics, metabolomics, and lipidomics increase the confidence of identification of potential biomarkers. Accompanying these studies is a collaborative effort to improve the effectiveness and efficiency of computational pipelines that are imperative to the analytics, visualization, identification, and interpretation of the omics data. Only by carefully integrating the computational pipelines can we successfully perform the types of integrative studies needed to advance the identification of cancer biomarkers for diagnosis and prognosis, and our integrative studies serve as a case study for our pipeline advancement efforts. Citation Information: Mol Cancer Ther 2013;12(11 Suppl):B37. Citation Format: Soo Jung Ha, Gordon Showalter, Jenna Rickus, Shanbao Cai, Haiyan Wang, Wei Michael Liu, Jann N. Sarkaria, John Springer, Jiri Adamec, Karen E. Pollok, Kari L. Clase. Proteomic and metabolomic analyses of glioblastoma using mass spectrometry. [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2013 Oct 19-23; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2013;12(11 Suppl):Abstract nr B37.