snapshot glioblastoma cancer.cell 2012

2
GSC neurosphere in vitro Pseudopallisading necrosis in GBM MRI scan of a GBM PROLIFERATION INVASION METABOLISM ANGIOGENESIS Glioblastoma cell Extracellular matrix BAI1 8, 30 28 4 28 27, 43 4 29, 34 1, 25 55 54 27, 43 20 20 1, 25 10, 17, 19, 45 8, 30 5, 9, 14 THBS1 VEGF MET, EGFR, PDGFR MET MAPK TRKA PGK1 GLUT1 VEGF mTOR DNA damage mTOR RAS PI3K AKT NF1 PTEN MAPK pathway S-phase genes ARF/MDM2/p53 RB INK4A Aberrant metabolism HIF1α MYC p53 PHD D-2-HG Histone demethylases G-CIMP phenotype TET family α-KG α-KG β-oxidation IDH2 Acetyl-CoA Fatty acids Pyruvate Glucose Glycolysis Fatty acid synthesis Isocitrate Citrate Mut IDH1 IDH1 NADPH NADPH NADP + NADP + Glutamate Glutamine GLS GSH Reactive oxygen species Mutation GAB1 SHP2 GRB2/SOS NF1 RAS RAF MIRK (DYRK1B) RANBPM (RANBP9) ZEB1 E-cadherin uPA MMPs Migration, Invasion ITGB1 TRAF6 IκB Apoptosis Proliferation p53 Hypoxia PI3K pathway, Mut IDH1 HIF1α SCF PIGF ANGPT1/2 BFGF PDGF α Vβ 5 NF-κB CD36, α Vβ 3 α Vβ 5 VEGFR2 KIT PIGFR MAPK & PI3K pathways EC division, vascular permeability, EC migration, mobilization of BM-EPCs TIE2 FGFR PDGFR Notch Endothelial cell GLIOMA STEM CELLS Normal differentiation pathway Gliomagenesis Clonal evolution model Notch Oligodendrocyte Neuron Progenitor cell Astrocyte Astrocytoma Oligodendroglioma OA mixed NSC Notch, SHH/GLI, STAT3 GSC Cell cycle arrest CTGF HGF (SF) Krebs cycle Nucleus Mitochondria (5mC-Hydroxylases) Brain whole mount with GBM Tumor mass Tumor mass Microvascular proliferation Microvascular proliferation Invading cells Invading cells Hypoxia Hypoxia CTGF CTGF Reactive astrocytes Reactive astrocytes DLL # 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 35 37 39 41 43 45 47 49 51 34 36 38 40 42 44 46 48 50 52 53 54 55 Rilotumumab Aflibercept Afatimib Bevacizumab Brivanib Cediranib Cetuximab Cilengtide Lenvatinib mesylate Enzastaurin Erlotinib Gefitinib Imatinib Intedanib Lapatinib BKM120 Nelfinavir Pazopanib Perifosine Sorafenib Sunitinib Tandutinib Temsirolimus Vandetanib Cabozantinib XL765 Tipifarnib R04929097 Veliparib ATN-161 AZD8055 AZD2014 BKM120 Rindopepimut Matuzumab Foretinib Olavatumab Lonafarnib MK2206 Dacomitinib Panobinostat Sirolimus Iniparib Pegdinetanib Everolimus Ramucirumab I-125 MAB-425 ABT-806 Nimotuzumab PX-866 Ridaforolimus Vatalanib XL147 Bortezomib AZD7451 DRUG 3, 7, 11, 12, 15, 24, 25, 35, 37, 42, 44, 46, 47 6, 9, 13, 14, 18, 20, 21, 22, 41, 52 2, 5, 6, 9, 14, 18, 20, 21, 24, 25, 36, 39, 40, 52 6, 13, 18, 20, 21, 22, 25 23, 26, 31, 32, 38, 50, 51 10, 16, 26, 33, 48, 53 These pharmacological agents affect targets shown in red. SnapShot: Glioblastoma Multiforme Svetlana Kotliarova and Howard A. Fine Center for Cancer Research, National Cancer Institute, National Institutes for Neurological Disorder and Stroke, National Institutes of Health, Bethesda, MD 20892, USA. See online version for legend and references. 710 Cancer Cell 21, May 15, 2012 ©2012 Elsevier Inc. DOI 10.1016/j.ccr.2012.04.031 10 E X C I T I N G C A N C E R R E S E A R C H E X C I T I N G C A N C E R R E S E A R C H S I N C E 2 0 0 2 S I N C E 2 0 0 2 YEARS OF YEARS OF

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SnapShot Glioblastoma

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Page 1: SnapShot Glioblastoma Cancer.cell 2012

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Page 2: SnapShot Glioblastoma Cancer.cell 2012

710.e1 Cancer Cell 21, May 15, 2012 ©2012 Elsevier Inc. DOI 10.1016/j.ccr.2012.04.031

SnapShot: Glioblastoma MultiformeSvetlana Kotliarova and Howard A. FineCenter for Cancer Research, National Cancer Institute, National Institutes for Neurological Disorder and Stroke, National Institutes of Health, Bethesda, MD 20892, USA

Glioblastoma multiforme (GBM) is the most common and lethal type of primary brain tumor. Although nonmetastasizing, GBM cells can diffusely infiltrate the normal cerebral cortex, resulting in death, with a median survival of 14 months despite combined surgical resection, radiotherapy, and chemotherapy. Standard therapy has been relatively ineffective for many reasons, not the least of which is the extensive invasion of GBM cells into normal brain tissue, which limits the extent of surgical resection and high dose radiotherapy for fear of unacceptable permanent neurological damage to the patient. Traditional chemotherapy has limited value because of poor blood-brain barrier penetration, intrinsic glioma resistance, and nonselective toxicity. Thus, the development of improved therapies rests on a greater understanding of the biology of GBM.

Several molecular and genomic datasets have recently been generated that have allowed us to identify at least four subtypes of GBM: classical, mesenchymal, proneural, and neural. Classical subtype is characterized by chromosome 7 amplification, focal CDKN2A deletion, chromosome 10 loss, EGFR amplification/mutation, a lack of TP53 muta-tions, RB pathway alterations, NES expression, and high Notch and Hedgehog pathway activity. Mesenchymal subtype has frequent mutation or loss of NF1, TP53, and PTEN; frequent chromosomal aberrations at CDK6, MET, PTEN, CDKN2A, and RB1 loci; activation of NF-κB and TNF pathways; and overexpression of MET, CD44, MERTK, and CHI3L. Proneural subtype frequently has IDH1 or IDH2 mutations; PDGFR amplification or PIK3CA/PIK3R1 mutations; loss or mutation of TP53, CDKN2A, and PTEN; activation of HIF, PI3K, and PDGFR pathways; OLIG2, NKX2-2, and PDGFRA oligodendrocytic marker expression; and TCF4, SOX, DCX, DLL3, and ASCL1 proneural marker expression. G-CIMP methylator phenotype characterizes a subgroup of proneural GBM that may represent a distinct tumor type. Neural subtype is related to the classical subtype but has a higher frequency of TP53 mutation; EGFR amplification/overexpression; and NEFL, GABRA1, SYT1, and SLC12A5 neuronal marker expression.

The traditional strategy in oncology of attempting tumor eradication has been challenged with the concept that even without killing every last cancer cell, interfering with critical aspects of tumor biology may translate to significant clinical benefit. The accompanying SnapShot diagrammatically captures several key biological properties and the responsible molecular pathways that represent the current focus of GBM clinical trials.

ProliferationCell cycle deregulation in GBMs is in part a result of abnormal signaling by several different receptor tyrosine kinases (RTKs) including EGFR, PDGFR, and MET. These RTKs act downstream to deregulate MAPK and PI3K pathways. The greatest emphasis in targeted drug development for GBM has focused on RTK inhibitors. Recent preclinical and clinical work indicates redundancy in RTK signaling, suggesting the need for simultaneous inhibition of multiple RTKs or inhibition of downstream signals; hence, there has been great interest in the clinical testing of inhibitors of PI3K, AKT and the TORC1/2 complexes. Although there was an initial interest in CDK inhibitors, early clinical data suggest nonselectivity of the agents and toxicity to normal proliferating cells.

MetabolismGBMs, like other tumors, prefer aerobic glycolysis (a phenomenon known as the Warburg effect). Preclinical data has demonstrated a dependency on altered glucose and fatty acid metabolism, but drugs that selectively interfere with these biochemical pathways are only now coming into clinical development. This altered metabolism also results in the generation of excess reactive oxygen species (ROS), which has led to the development of several new agents that interfere with the GBM cell’s ability to neutralize ROS. More-over, about 80% of low grade gliomas and about 5%–10% of GBMs have mutations in IDH1 or IDH2 causing altered 2-hydroxyglutarate production and altered DNA methylation, which has led to trials with IDH1 inhibitors and demethylating agents to address the epigenomic changes associates with this genotype.

Glioma Stem CellsThere is increasing evidence that only a subpopulation of cells within a GBM truly has tumorigenic properties. The nature of these cells remains controversial, but it is clear that at least some canonical stem cell signaling pathways are operative in glioma stem/initiating cells (GSCs). It appears that Notch signaling is vital for proliferation and survival of GSCs, leading to a series of clinical trials in GBM with γ-secretase inhibitors. There is also evidence to suggest that at least some GSC lines are dependent on the Hedgehog and Wnt pathways, paving the way for clinical trials with Smo inhibitors and inhibitors of Wnt ligands.

AngiogenesisGBMs are highly angiogenic and vasculogenic. VEGF is a primary mediator of tumor angiogenesis and GBM-associated cerebral edema. Anti-VEGF bevacizumab can signifi-cantly decrease cerebral edema and potently inhibit tumor growth in patients. Small molecule inhibitors of VEGFR, however, have proven less effective in the clinic to date. Ongoing clinical trials are investigating agents that target other angiogenic factors and their receptors (e.g., PDGFR, c-KIT, FGFR) as well as endothelial cell-associated integrins.

InvasionSince GBMs generally kill via their invasiveness, patient morbidity and survival might be greatly improved by inhibiting invasion. PI3K and MAPK pathway deregulation has been linked with increased cellular motility via EGFR signaling in GBM. Amplification and/or overexpression of the HGF/MET pathway have also been implicated in GBM invasion, lead-ing to clinical trials of MET inhibitors. Recently, TRKA has been implicated as an important mediator of GBM stem cell migration, leading to the testing of novel TRK inhibitors.

It is unlikely that inhibiting any one pathway will result in dramatic clinical benefit, but it is hoped that interfering with two or more key biological functions will. For example, recent preclinical and clinical data suggest that VEGF inhibition leads to increased GBM invasiveness. New clinical trials, therefore, are now being developed to combine angiogenic inhibitors such as bevacizumab with MET and/or TRK inhibitors. These future trials likely hold the most promise for improved therapy for this devastating disease.

RefeReNCes

Edwards, L.A., Woolard, K., Son, M.J., Li, A., Lee, J., Ene, C., Mantey, S.A., Maric, D., Song, H., Belova, G., et al. (2011). Effect of brain- and tumor-derived connective tissue growth factor on glioma invasion. J. Natl. Cancer Inst. 103, 1162–1178.

Noushmehr, H., Weisenberger, D.J., Diefes, K., Phillips, H.S., Pujara, K., Berman, B.P., Pan, F., Pelloski, C.E., Sulman, E.P., Bhat, K.P., et al. (2010). Identification of a CpG island methyla-tor phenotype that defines a distinct subgroup of glioma. Cancer Cell 17, 510–522.

Phillips, H.S., Kharbanda, S., Chen, R., Forrest, W.F., Soriano, R.H., Wu, T.D., Misra, A., Nigro, J.M., Colman, H., Soroceanu, L., et al. (2006). Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis. Cancer Cell 9, 157–173.

Singh, S.K., Hawkins, C., Clarke, I.D., Squire, J.A., Bayani, J., Hide, T., Henkelman, R.M., Cusimano, M.D., and Dirks, P.B. (2004). Identification of human brain tumour initiating cells. Nature 432, 396–401.

Stupp, R., Mason, W.P., van den Bent, M.J., Weller, M., Fisher, B., Taphoorn, M.J., Belanger, K., Brandes, A.A., Marosi, C., Bogdahn, U., et al. (2005). Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N. Engl. J. Med. 352, 987–996.

Turcan, S., Rohle, D., Goenka, A., Walsh, L.A., Fang, F., Yilmaz, E., Campos, C., Fabius, A.W., Lu, C., Ward, P.S., et al. (2012). IDH1 mutation is sufficient to establish the glioma hy-permethylator phenotype. Nature 483, 479–483.

Verhaak, R.G., Hoadley, K.A., Purdom, E., Wang, V., Qi, Y., Wilkerson, M.D., Miller, C.R., Ding, L., Golub, T., Mesirov, J.P., et al. (2010). Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1. Cancer Cell 17, 98–110.

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