Literature DB >> 35179215

Targeting the TP53/MDM2 axis enhances radiation sensitivity in atypical teratoid rhabdoid tumors.

Irina Alimova1, Dong Wang1, Etienne Danis1, Angela Pierce1, Andrew Donson1, Natalie Serkova2, Krishna Madhavan1, Senthilnath Lakshmanachetty1, Ilango Balakrishnan1, Nicholas K Foreman1, Siddhartha Mitra1, Sujatha Venkataraman1, Rajeev Vibhakar1.   

Abstract

Atypical teratoid rhabdoid tumor (ATRT) is a highly aggressive pediatric brain tumor. Despite radiation, aggressive chemotherapy and autologous stem cell rescue, children usually have a poor survival time. In the present study, the role of TP53/MDM2 interaction in ATRT was investigated. A functional genomic screen identified the TP53/MDM2 axis as a therapeutic target in the central nervous system (CNS) ATRT. Gene expression analysis revealed that all ATRT sub‑groups expressed high levels of MDM2, which is a negative regulator of TP53. Using cell viability, colony formation and methylcellulose assays it was found that genetic MDM2 inhibition with short hairpin RNA or chemical MDM2 inhibition with small molecule inhibitors, Nutlin3 and idasanutlin (RG7388) decreased the growth of ATRT cell lines. Furthermore, idasanutlin significantly decreased the growth of intracranial orthotopic ATRT brain tumors, as evaluated using T2 MRI, and prolonged survival time relative to control animals. MRI of intracranial tumors showed that diffusion coefficient, an effective marker for successful treatment, significantly increased with idasanutlin treatment showing tumor necrosis/apoptosis. Immunohistochemistry revealed an increased number of caspase‑3‑positive cells in the idasanutlin treatment group, confirming the induction of apoptosis in vivo. Using flow cytometry and western blot analysis we show that inhibition of MDM2 enhanced radiation sensitivity in vitro by potentiating DNA damage via the induction of the TP53/Bax/Puma proapoptotic axis. Furthermore, DNA damage was associated with increased mitochondrial reactive oxygen species accumulation. The present study demonstrated that MDM2 expression level was increased in ATRT patient samples and MDM2 inhibition suppressed ATRT cell growth in vitro, and leads to apoptosis in vivo. MDM2 inhibition potentiates DNA damage and sensitizes ATRT cells to radiation. These findings highlight the TP53/MDM2 axis as a rational therapeutic target in CNS ATRT.

Entities:  

Keywords:  ATRT; MDM2; SMARCB1; TP53; idasanutlin; radiation sensitivity

Mesh:

Substances:

Year:  2022        PMID: 35179215      PMCID: PMC8878716          DOI: 10.3892/ijo.2022.5322

Source DB:  PubMed          Journal:  Int J Oncol        ISSN: 1019-6439            Impact factor:   5.650


Introduction

Atypical teratoid rhabdoid tumor (ATRT) is a fast growing, highly malignant brain tumor in childhood (infants to <18 years old), with a poor survival rate worldwide, between 1996 and 2020 (5-year survival, 35-40%) (1,2). Current therapy, including intensive chemotherapy, radiation and autologous stem cell transplant, are suboptimal and therapy-related toxicity remains a major concern in this young age group (3,4). Currently, there is no standard treatment for ATRTs, with few ATRT prospective studies performed and a lack of novel targeted therapies (2-4). The most widely accepted therapeutic option is the use of high-dose chemotherapy, with stem cell rescue, followed by radiotherapy in infants and young children (<5 years old) and the use of intensive multimodal chemotherapy with radiation in patients who are older (6-18 years old) (2). ATRT's main molecular feature is the loss of the SMARCB1 gene, resulting in the epigenomic dysregulation of the genome (5,6). SMARCB1, a member of the switch/sucrose non-fermentable (SWI/SNF) chromatin remodeling complex, affects lineage commitment and differentiation by controlling gene expression (7). ATRTs demonstrate a quiescent structural genome, but are heterogeneous in gene expression (8-11). The paucity of structural genetic events creates a significant barrier to the development of novel targeted therapy. Nevertheless, the transcriptional heterogeneity represents an opportunity to examine novel approaches to therapy. Current international consensus groups ATRT into 3 transcriptomic groups: ATRT-TYR, ATRT-SHH and ATRT-MYC (12,13). Associated SMARCB1 deficient tumors, occurring outside of the central nervous system are known as malignant rhabdoid tumors (MRT) and exhibit distinct gene expression signatures, further adding to the heterogeneity (14). However, these molecular data are not yet used to guide therapy. ATRT, present with wild-type (WT) TP53, indicated that targeting negative regulators of TP53 could represent a novel therapeutic strategy. Reconstitution of a functional TP53 pathway is an attractive antitumor strategy. TP53 is negatively regulated by MDM2, an ubiquitin ligase, that targets TP53 for proteolytic degradation (15). The associated MDM4 sequesters TP53 and inhibits its transcription transactivation activity (15). Over the past 2 decades numerous effective inhibitors of MDM2 have been developed (16,17). MDM2/TP53 binding antagonists, a novel class of anti-cancer therapeutics currently in early clinical development, non-genotoxically activate WT TP53 by disrupting the interaction between TP53 and MDM2 (17). The first member of the nutlins family, Nutlin3, demonstrated strong activity in animal models with limited toxicity (18). Idasanutlin (RG7388), a second generation MDM2/TP53 inhibitor, is available in both oral and intravenous formulations, and shows increased bioavailability and selectivity (19). Idasanutlin demonstrates antitumor activity in pediatric cancers, including neuroblastoma and sarcoma (20,21). Previous studies demonstrated that TP53 was a negative regulator of SMARCB1deficient cancers cell growth and that targeting MDM2 could reactivate the TP53 pathway in MRT (22,23). In the present study it was found that inhibition of MDM2 potentiates TP53 to suppress intra-cranial ATRT in vivo, and enhances sensitivity to radiation in vitro by enhancing DNA damage.

Materials and methods

Study approval

Primary patient sample (from brain surgery; 12-month-old male) was obtained from the Children's Hospital Colorado (Colorado, USA) in February, 2010. The sample was collected in accordance with local and Federal human research protection guidelines and institutional review board regulations (approval no, COMIRB 95-500). Informed consent was provided by all patients or from a parent or guardian. The MAF737 (TYR) SMARCB1 INI1-deleted cell line was established from the sample.

Cell lines and reagents

All the cell lines were cultered in a cell incubator (Thermo Fisher Scientific, Inc.) at 37°C with 5% CO2. The BT16 ATRT (TYR 2A/MYC) cell line was a gift from Dr Peter Houghton (Nationwide Children's Hospital, Center for Childhood Cancer and Blood Diseases, OH, USA). The MAF737 (TYR), SMARCB1 INI1-deleted cell line was established from a surgical sample of a 12-month-old male. The sample was obtained from the Children's Hospital Colorado (Colorado, USA) and collected in accordance with local and Federal human research protection guidelines and IRB regulations (approval no. COMIRB 95-500) (11). Consent was provided by a parent. The cells were cultured in RPMI medium (Gibco; Thermo Fisher Scientific, Inc.) supplemented with 10% FBS (Atlanta Biologicals, Inc.) and 1% Pen/Strep (Gibco; Thermo Fisher Scientific, Inc.) (24,25). The CHB-ATRT1 cell line were derived from a tumor obtained at the time of primary surgical resection of a posterior fossa ATRT at Boston Children's Hospital and kindly provided by Dr Mitra (University of Colorado Anschutz Medical Campus, CO, USA) and Dr Yoon Jae-Cho (Stanford University School of Medicine, CA, USA). The CHB-ATRT1 cell line has de-repression of GLI1 transcription via the loss of SNF5/SMARCB1/INI1(26). The CHB-ATRT1 cell line was cultured in Neurobasal medium (Gibco; Thermo Fisher Scientific, Inc.), with epidermal growth factor and leukemia inhibitory factor (26). The CHLA04 (ATRT/SHH) cell line was purchased from American Type Culture Collection and was cultered in DMEM/F12 medium (Gibco; Thermo Fisher Scientific, Inc.) with epidermal growth factor (VWR International, LLC) and 2% B27 supplement (Gibco; Thermo Fisher Scientific, Inc.) Immortalyzed normal human astrocytes (NHA) were provided by Dr Cynthia Hawkins (Sick Kids Hospital, Department of Pediatric Laboratory Medicine, Toronto, Canada). The NHA cell line was cultered in DMEM (Gibco; Thermo Fisher Scientific, Inc.) supplemented with 10% FBS (Atlanta Biologicals, Inc.), and 1% Pen/Strep, L-glutamine and sodium pyruvate (Gibco; Thermo Fisher Scientific, Inc.) All the cells were cultured according to provided protocols. All the cell lines were routinely tested for mycoplasma contamination. Idasanutlin (RG7388; cat. no. HY-15676) and Nutlin3 (cat. no. HY-50696) were purchased from Med Chem Express and reconstituted in dimethyl sulfoxide (DMSO; cat. no. D2650; Sigma-Aldrich; Merck KGaA). DMSO was used as a control.

Functional genomic short hairpin (sh)RNA screening

Functional genomic shRNA screening was performed as previously described (27). The MAF737 cell line was transduced for 24 h with a pooled lentivirus shRNA library, consisting of 4,200 shRNAs targeting 408 epigenetic genes (backbone, Human PLVX-ZsGreen lentiviral shRNA-mir; cat. no. TRH6110; TransOMIC Technologies, Inc.). Plasmid DNA (2.5 µg) and Lipofectamine® 3000 (7.5 µl; cat. no. 100022050; Invitrogen; Thermo Fisher Scientific, Inc.) was used for transfection at 37°C. Genomic DNA was isolated (DNeasy blood and tissue kit; cat. no. 69504; Qiagen GmbH) from the transduced cells 4 and 21 days after transduction. The quality of the samples was verified using a TapeStation 4200 (Agilent Technologies, Inc.). Then, the samples were processed to amplify individual shRNAs with two rounds of PCR, and sequenced with an Illumina Hiseq instrument, with single read for 50 cycles. 3 base pair tag length, 5′ to 3′. The loading concentration of the final library was 10 nM. The concentration was measured using a Fluorometer Qubit 2.0 (Invitrogen; Thermo Fisher Scientific, Inc.). The sequencing kit was purchased from transOMIC Technologies, Inc. (cat. no. TRP 0001). The sequencing results were analyzed using R-based package DESEq2 (v1.34.0; Bioconductor.org). By comparing the shRNAs present on day 4 to 21, with a false discovery rate of 0.5 and 0.1, respectively (27).

Gene expression analysis

The gene expression data of 42 ATRT tumor samples and 9 normal cerebellum samples were analyzed from the public dataset, GSE70678 (9) using R (v4.0.5; https://www.r-project.org/). The affy package (v1.44.0) (28) and the custom chip definition file (hugene11sthsensgcdf; v25.0.0; http://brainarray.mbni.med.umich.edu/brainarray/database/customCDF/25.0.0/ensg.asp) (29) was used to load, and summarize the expression level of genes and process the data. The samples flagged by the arrayQuality-Metrics Bioconductor package (v3.22.0) (30) were removed due to low quality. Expression data were normalized using the Robust Multichip Average method (31). Kruskal-Wallis test was used to analyze the data between normal samples and each subtype. P<0.05 was considered to indicate a statistically significant difference.

Transfection of ATRT cells

The ATRT cell lines were transfected with plasmids: shTP53 (cloneID, TRCN00003755; pLKO.1; 5′-CCG GGT CCA GAT GAA GCT CCC AGA ACT CGA GTTC TGG GAG CTT CAT CTG GAC TTT TTG-3′), shMDM2 (Clone ID, TRCN0000355725; pLKO.1; 5′-CCG GAT TAT CTG GTG AAC GAC AAA GCT CGA GCT TTG TCG TTC ACC AGA TA A T T T T T T G -3′), TP53 human open reading frame (clone ID, ccsbBroad304_07088; Backbone, pLX304), shC202 (puro-non-mamallian; pLKO.5; 5′-CCG GCA ACA AGA TGA AGA GCA CCA ACT CGA GTT GGT GCT CTT CAT CTT GT-3′) (all from Functional Genomics Shared Resource, University of Colorado). A total of 2.5 µg plasmid DNA and 7.5 µl Lipofectamine® 3000 (cat. no. 100022050; Invitrogen; Thermo Fisher Scientific, Inc.) was used for transfection at 37°C. The cells were selected with puromicin (1 µg/ml) for 48 h, 24 h following transfection. The experiments were performed the following day after puromicin selection. Empty plasmid was used as the control in all cases. Luciferase-expressing MAF737 ATRT cell line was obtained by transfecting with the pLV[Exp]-Bsd-EF S>Luc2(ns):T2A:TurboGFP vector (VectorBuilder, Inc.), without any additional transfection reagent. The MAF737 cell line was seeded (50,000 cells) in a low attachment 96-well plate (cat. no. 7007; Costar; Corning, Inc.) in 112.5 µl Opti-MEM (cat. no. 31985-070; Gibco; Thermo Fisher Scientific, Inc.) without any growth factor or antibiotic. A total of 12.5 µl virus was added on the same day. The cells were monitored for 48 h, then centrifuged at 300 × g for 5 min at room temperature, and the cells were subsequently cultured at 37°C for 48 h in 75 cm tissue culture ventilated cap flask (Santa Cruz Biotechnology, Inc.) in RPMI medium (cat. no. 11875-093; Gibco; Thermo Fisher Scientific, Inc.). GFP signal was analyzed using a light Olympus microscope (CKX41) with fluorescent filters, at ×20 and ×40 magnification. Puromycin (1 µg/ml) was used for 48 h for antibiotic selection. Then, the cells were collected, 30 mg/ml D-luciferin potassium salt solution (Gold Biotechnology, Inc.) was added to the cells (100,000) and luciferase expressing signal was analyzed using Xenogen IVIS 200 in vivo Imaging System (PerkinElmer, Inc.). Cells, without luciferase expressing signal, were used to exclude background and for normalization. The duration between transfection and activity measurement was 6 days.

Colony formation assay

The assays were performed as previously described in triplicate (25). The BT16 and MAF737 ATRT cell lines were seeded in 6-well plates, in triplicate, at a density of 500 cells/well, treated with Nutlin (500, 800 and 1,000 nM) and idasanutlin (1, 10, 50 and 100 nM) and cultured for 10 days. The cells were stained with 0.25% crystal violet in methanol for 15 min at room temperature. Crystal violet-positive colonies (>50 cells per colony) were counted using a Precise Electronic Counter (Heathrow Scientific, LLC) and a light inverted microscope at ×2 magnification (Olympus S751; Olympus Corporation) (25). IC50 was calculated by comparing the colony numbers in treated and untreated cells.

Methylcellulose assay

The assay was performed as previously described (32). Briefly, the CHB-ATRT1 cell line wascultured for 10 days in 1:1 mixture 2.6% methylcellulose and complete growth (Neurobasal; Gibco; Thermo Fisher Scientific, Inc.) medium. Then, the colonies were stained with nitrotetrazolium blue chloride for 12 h at 37°C (cat. no. 6876; Sigma-Aldrich; Merck KGaA) and counted using a Precise Electronic Counter (Heathrow Scientific, LLC) and a light inverted microscope at ×2 magnification (Olympus S751; Olympus Corporation).

Cell viability assay

The NHA, BT16, MAF737, CHLA04 and CHB ATRT cell lines were seeded in triplicate, at 50,000 cells/well, in 24-well plates, followed by DMSO or idasanutlin (30 and 300 nM, and 1 and 5 µM) treatment 24 h later. Then, the cells were trypsinized, collected, centrifuged at 300 × g for 5 min at room temperature and resuspended with ViaCount Reagent (cat. no. 4000-040; Luminex; Thermo Fisher Scientific, Inc.), 72 h later. The cells were counted using a Guava EasyCyte 8HT Flow Cytometry System (MilliporeSigma) and analyzed using Gyava Cytosoft Software version 5.3 (MilliporeSigma).

Western blot analysis

The protein expression levels were determined using western blotting analysis as previously described (33). The BT16 and CHB ATRT1 cells were lysed in RIPA buffer (cat. no. 89901; Thermo Fisher Scientific, Inc.), containing EDTA-free protease inhibitor (Roche Diagnostics). Protein concentrations were determined using a BCA Protein Assay Kit (Pierce; Thermo Fisher Scientific, Inc.). Protein (30 µg in total) was separated using 4-20% SDS-PAGE (cat. no. 4561094; Bio-Rad Laboratories, Inc.). The membrane was blocked with 5% skimmed milk in TBS (Bio-Rad Laboratories, Inc.) with 1% Tween-20, then incubated with primary antibodies in blocking solution for 12 h at 4°C. The secondary antibodies (α-mouse-HRP, cat. no. 7076; α-rabbit-HRP, cat. no. 7074) (both diluted to 1:5,000) (both from Cell Signaling Technology, Inc.), were incubated with the membranes for 1 h at room temperature. The blots were developed with Immobilon Forte Western HRP Substrate (cat. no. WBLUF0500; MilliporeSigma) and imaged using Syngene GBox Chemi-SL1.4 gel documentation system. The following primary antibodies were used: TP53 (cat. no. 179477; Abcam), MDM2 (cat. no. 86934; Cell Signaling Technology, Inc.) p21 (cat. no. 2947; Cell Signaling Technology, Inc.), PUMA (cat. no. 12450; Cell Signaling Technology, Inc.) BAX (cat. no. 2772; Cell Signaling Technology, Inc.) Tubulin (cat. no. 3873; Cell Signaling Technology, Inc.) and β-actin (cat. no. 12262; Cell Signaling Technology, Inc.) (all 1:1,000).

In vivo xenograft models

An in vivo xenograft model was established, as previously described (25). A total of 10 female athymic nude (Foxn1 nu) mice (6-weeks-old; weight, 18-20 g) from Harlan Laboratories, were anesthetized with isoflurane (induction, 4%; maintenance, 1.5-2%; VetOne; MWI Boise) and immobilized in a stereotaxic apparatus (David Kopf Instruments). A small burr hole was drilled into the skull, at 1.5 mm lateral and 2.0 mm posterior to lambda, using a Dremel drill (Model 300; Dremel Manufacturing Company) and a 1.00 mm dental drill bit (cat. no. 514554; Stoelting Co.). Luciferase-expressing MAF737 ATRT cells (300,000 cells in 3 µl serum-free medium) were injected 3.0 mm below the surface of the skull into the cerebellum, at a rate of 400 nl/min, using a MicroUltra Pump (World Precision Instruments, Inc.), fitted with a 10 µl Hamiliton syringe and a 26 G needle (Hamilton Company). The burr hole was then sealed with bone wax (World Precision Instruments, Inc.), and the incision closed with sterile absorbable suture (Ethicon, Inc.). Carprofen (5 mg/kg) was administered subcutaneously after the surgery, once daily, for 3 days (the day of surgery, and 24 and 48 h later). After the tumor was established in the cerebellum, the animals were randomized into 2 groups (5 mice per group): Control, vehicle and idasanutlin (30 mg/kg; 5 days per week for 2 weeks by oral gavage). The animals in the control group were treated with vehicle solution, containing 5% DMSO (Sigma-Aldrich; Merck KGaA), 30% polyethylene glycol (MilliporeSigma), 5% Tween-80 (Sigma-Aldrich; Merck KGaA) in distilled water. For bioluminescence analysis, D-luciferin potassium salt solution (10 µl/g from a stock solution of 15 mg/ml; Gold Biotechnology, inc.) was injected, via intraperitoneal injection and imaged using the Xenogen IVIS 200 in vivo Imaging System (PerkinElmer, Inc.). Tumor bioluminescence was analyzed using the Living Image v2.60.1 software (Caliper Life Sciences; PerkinElmer, Inc.). The body weight of all the mice was measured weekly (24) and mice were monitored daily and euthanized when they reached the endpoint of the experiment (>15% loss in body weight, irreversible neurogical effect or inability to eat or drink). The mice were kept at 21-23°C, with 30-50% humidity and 14 h light/10 h dark cycle, with hyperchlorinated water and fed a standard Envigo diet (irradiated, ×2,920). The animals were euthanized with CO2 followed by cervical dislocation. The flow rate of CO2 was 30% of the displacement volume/min. All Animal procedures were performed in accordance with the National Research Council's Guide for the Care and Use of Laboratory Animals and were approved by the University of Colorado Anschutz Campus Institutional Animal Care and Use Committee (approval number, 00052).

MRI

The MRI images were obtained using a Bruker 9.4 Tesla BioSpec MRI Scanner (Bruker Corporation), as previously described (27). T2-turboRARE images of the sagittal and axial panels were acquired and analyzed using Bruker ParaVision NEO360 v2.0 software (Bruker Corporation). A region of interest was manually segmented on each anatomic slice and tumor volume in mm3 was calculated by a radiologist. The apparent diffusion coefficients (ADC; s/mm2) were calculated from diffusion-weighted imaging maps, as a criterion for tumor cellularity.

Immunohistochemistry

Tissue from the patient samples or experimental animals was fixed in 10% formalin for 3 days at room temperature and submitted to the University of Colorado Denver Tissue Histology Shared Resource for sectioning and staining (25). Paraffin-embedded sections (5-µm) were prepared for immunodetection of Ki67 (1:500; cat. no. RM-9106; Thermo Fisher Scientific, Inc.), MDM2 (1:50; cat. no. LS-C199239; LifeSpan Bioscience, Inc.), P53 (1:50; cat. no. 2527; Cell Signaling Technology, Inc.) and Caspase3 (1:1,000; cat. no. 9661; Cell Signaling Technology, Inc.). The antigens were revealed in BORG solution (pH 9.5) for 10 min at 110°C (NxGen Decloaker chamber) (both from Nobel Biocare Services AG) with a 10 min ambient cool down. Immunodetection was performed using a Benchmark XT autostainer for 32 min at 37°C using a modified I-VIEW DAB detection system (both from Ventana Medical Systems, Inc.; Roche Diagnositics). Endogenous peroxidase was blocked with 3% hydrogen peroxide for 4 min. The secondary antibody cocktail from the I-VIEW DAB kit (goat anti-mouse and goat anti-rabbit; prediluted; cat. no. 5266157001; Ventana Medical Systems, Inc.) was removed and replaced with full strength rabbit ImmPress polymer (one step polymer goat anti-rabbit conjugated to HRP; cat. no. MP-7401; Maravai LifeSciences). The streptavidin-HRP conjugated enzyme from the I-VIEW DAB kit (cat. no. 5266157001, Ventana Medical Systems, Inc.) was then added and replaced with diluted rabbit ImmPress polymer (1:2 dilution in PBS pH 7.6; cat. no. MP-7401; Maravai LifeSciences). Secondary and enzyme incubations were performed at 8 min each at 37°C according to standard protocol dictated by the I-VIEW kit. DAB was used to visualize the antigen-antibody complexes using a standard protocol. All the sections were counterstained with hematoxylin for 2 min at 37°C, blued for 10 sec at 37°C in 1% ammonium hydroxide, dehydrated in a descending alcohol series, cleared in xylene and mounted using synthetic resin (Cancer Diagnostics, Inc.) with a coverglass at room temperature. Negative controls were used to confirm the specificity of immunostaining included omission of the primary antibody incubation step and substitution of the primary antibody diluent. The images were captured using a BZ-X710 all-in-one fluorescence microscope (Keyence Corporation) and quantified with BZ-X viewer v.01.03.01.01 (Keyence Corporation).

Immunofluorescence

The BT16 ATRT cell line (3,000 cells) were seeded in poly-D-lysine-coated chamber slides. The next day, the cells were treated with 30 nM (IC50; 72 h), idasnutlin (IC50, detected from colony formation assay) or DMSO. The cells were radiated with 4 Gy radiation, 72 h later. Then, the cells were washed with PBS (cat. no. 21-040-CV; Corning, Inc.), fixed for 15 min at room temperature with 4% paraformaldehyde (cat. no. J61899; Alfa Aesar; Thermo Fisher Scientific, Inc.), blocked for 30 min at room temperature in 5% skimmed milk and 0.05% TritonX-100 (cat. no. 93443; Sigma-Aldrich; Merck KGaA) in PBS and incubated with the primary antibody for 12 h at 4°C and the secondary antibodies for 1 h at room temperature, as previously described (25). The following antibodies were used: γH2AX (1:300; cat. no. 9718; Cell Signaling Technology, Inc.), Alexa Fluor 488-conjugated secondary antibody (1:500; cat. no. 560445; BD Pharmingen; BD Biosciences). Then, the cells were washed with 0.05% TritonX-100 in PBS 3 times, for 5 min each time and mounted with ProLong Gold antifade reagent containing DAPI (cat. no. 36935; Sigma-Aldrich; Merck KGaA) (25). The images were captured using a fluorescence microscope (BZ-X700; Keyence Corporation), at ×40 magnification.

Irradiation of the culture cells

A JL Shepherd Model 81-14 irradiator, with 137Cs source, was used to radiate cells. The dose of radiation, from the 137Cs source was 1.09 Gy/min. The BT16 cell line was radiated with 2, 4, 6, 8 and 10 Gy for 1.8, 3.6, 5.5, 7.5 and 9.7 min, respectively.

Combination of idasanutlin and ionizing radiation

For the combination of idasanutlin treatment and ionizing radiation, the BT16 cell line was seeded at different densities (500, 1,000, 2,000, 4,000, 6,000 and 8,000 cells/per well) in a 6-well plate in triplicate for 24 h before the addition of 18 nM idasanutlin (IC30 from previous calculation) or DMSO. The cells were treated to idasanutlin for 6 h, then drug-containing medium was aspirated and normal culture medium (RPMI, supplemented with 10% FBS and 1% Pen/Strep) was added. The cells were then immediately irradiated with 2, 4, 6, 8 or 10 Gy. After 10 days of additional growth, the cells were stained with 0.25% crystal violet in methanol for 15 min at room temperature. Crystal violet-positive colonies (>50 cells per colony) were counted using a Precise Electronic Counter (Heathrow Scientific, LLC) and a light inverted microscope (Olympus S751; Olympus Corporation). The survival curves were generated after normalizing to idasanutlin treatment-induced death. Non-linear regressions were calculated. The radiation dose intersecting the non-linear regression for a 10% (SF0.1) and 50% (SF0.5) surviving fraction was calculated for drug dose. The sensitizer enhancement ratio (SER) was then calculated as follows: SER=SFx DMSO/SFx X nM idasanutlin. The SER allows for direct comparison of the effect of the putative sensitizing agent relative to control treated cells.

Flow cytometry assay

The BT16 cell line was seeded in 10 cm plates (1×106 cells/well). The cells were treated the following day with idasanutlin (IC50, 30 nM; 72 h), or DMSO for 72 h, with or without 4 Gy radiation, then fixed with 4% formaldehyde for 15 min at room temperature. The fixed cells were then washed with 3% FBS (Atlanta Biologicals, Inc.) in PBS and permeabilized with methanol on ice for 10 min. The cells were incubated with a γH2AX (1:20; cat. no. 562377; BD Pharmingen; BD Biosciences) antibody for 1 h at room temperature. Flow Cytometry Analysis was performed using an Amnis FlowSight Flow Cytometer (MilliporeSigma) and analyzed with IDEAS software v6.1 (Luminex Corporation). Unstained cells were used for gating to obtain the percentage of positive γH2AX cells.

Measurement of mitochondrial reactive oxygen species (ROS) using flow cytometry

MitoSOX-based flow cytometry was used to measure the mitochondrial ROS, as previously described (34). Briefly, the BT16 cell line was treated with DMSO or idasanutlin (IC50, 30 nM; 72 h), then with 4 Gy radiation for 24 h. The cells were trypsinized and 500,000 cells from each condition were centrifuged (300 × g for 5 min at room temperature) and resuspended in sterile 1X PBS, containing 1 mM MitoSOX Red mitochondrialsuperoxide indicator (cat. no. M36008; Invitrogen; Thermo Fisher Scientific, Inc.). The samples were then placed on a shaking water bath (37°C) for 30 min and protected from light, washed three times with PBS, then resuspended in cell staining buffer (BioLegend, Inc.) containing DAPI (1:10,000 dilution from 1 mg/ml stock concentration). Finally, the samples were analyzed using a CytoFlex LX flow cytometer (Beckman Coulter, Inc.) to measure the mean fluorescence intensity and the percentage of stained cells on DAPI-(live) cells. The results are represented as the cell count from the cell fluorescence emission, representing the size of the cell population emitting the red fluorescence, and as the mean fluorescence intensity of MitoSOX across different treatment conditions. The results were analyzed using CytExpert, v2.4.028 (Beckman Coulter, Inc.).

Statistical analysis

Statistical analysis was performed using GraphPad Prism v8 software (GraphPad Software, Inc.). Either one- or two way ANOVA, or one- or two-tailed Student's t-test (unpaired) was used for comparisons between groups. Kruskal-Wallis test was used to analyze gene expression between normal cerebellum samples and each ATRT subtype. Kaplan-Meier survival curve comparisons were performed using log-rank (Mantel-Cox) test. P<0.05 was considered to indicate a statistically significant difference. The data are presented as the mean ± standard error of the mean. The experiments were repeated indepently three times. The effect of TP53 knockdown in genome-wide knockdown screens was performed using DepMap (DepMap.org).

Results

P53-MDM2 is a therapeutic target in ATRT

To systematically identify genes that could be therapeutic targets in SMARCB1 deleted ATRT, a shRNA screen was performed to targeting 408 genes associated with transcription- and chromatin-related processes. A patient derived SMARCB1 deleted ATRT cell line (MAF737) was transduced with a pooled lentiviral shRNA library, consisting of 4-10 shRNAs per gene (4,180 total shRNAs). A total of 408 genes were analyzed. Genomic DNA was isolated from the transduced cells 4 and 21 days after transduction and sequenced with an Illumina Hiseq instrument The unique shRNA abundance was compared between the samples collected on day 21 vs. day 4. The differential enrichment of shRNAs targeting genes was assessed using R-based package DESeq2. The fold change in the genes enriched on day 21 vs. day 4 are shown in Fig. 1A. High confident candidate genes were defined as those with log fold change ≥2, with ≥2 shRNAs per gene with adjusted P<0.05. Genes targeted by shRNA that enhanced tumor cell growth were analyzed, as this suggested tumor suppressive activity (Fig. 1A). Among the key druggable genes that enhanced ATRT cell growth following knockdown of expression was TP53 (Fig. 1A). To confirm the results, the effect of TP53 knockdown in genome-widescreens was examined using DepMap (DepMap.org (35). The DEMETER2 dependency score is based on data from a cell depletion assay. A lower DEMETER2 score indicates a higher likelihood that the gene is essential in a given cell line. A score of 0 indicates a gene is not essential. A positive score reflects a progrowth phenotype. TP53 was shown to be a key gene in BT16 (Figs. 1B and S1A). As TP53 activity is regulated by MDM2, the dependency of ATRT cells on MDM2 was also analyzed. A DepMap negative score for CRISPR demonstrates high dependency of ATRT from MDM2. To evaluate the importance of the TP53/MDM2 axis in ATRT, the mRNA expression level of TP53 and MDM2 was analyzed in a cohort of 42 ATRT samples, from all subgroups (11). A total of 14 samples were ATRT/SHH, 15 samples were ATRT/TYR, 13 samples were ATRT/MYC and 9 samples were normal cerebellum (Fig. 1C). TP53 mRNA expression level was heterogeneous in ATRT compared with that in the normal cerebellum (P=0.057) (Fig. 1C). On the other hand, MDM2 mRNA expression level was significantly elevated in all ATRT samples as compared with that in the normal brain (P<0.01; Fig. 1D). The highest level of MDM2 expression was in the ATRT/TYR subgroup (P<0.001; Fig. 1D). To further confirm the expression level of TP53 and MDM2 in ATRT, the patient samples were analyzed using immunohistochemistry. TP53 was variably expressed in all ATRT subgroups, whereas MDM2 was significantly expressed in the TYR and MYC subgroups. H&E stain confirms ATRT tumors (Figs. 1E and S1B).
Figure 1

Identification of mediators of ATRT cell growth and their expression level in the three ATRT subgroups. (A) shRNA screening revealed that TP53 knockdown enhanced ATRT cell growth. (B) TP53 and MDM2 dependency was analyzed using the Dependency Map portal. TP53 was shown to be a key dependency in BT16 ATRT. A DepMap negative score for CRISPR demonstrates high dependency of ATRT from MDM2. mRNA expression level of (C) TP53 and (D) MDM2 in tumors from patients with ATRT from the three subgroups (TYR, SHH and MYC) as compared with that in the normal brain and between groups, using the GSE70678 dataset. Error bars represent standard error of the mean. **P<0.01; ***P<0.001; ****P<0.0001 vs. normal tissue. (E) Immunohistochemistry staining of TP53, MDM2 and H&E in tumors from patient with ATRT from different ATRT subgroups. ×40 magnification. ATRT, atypical teratoid rhabdoid tumor; ns, not significant.

P53 and MDM2 are critical for ATRT cell proliferation and clonogenicity in vitro

We hypothesized that ATRT cell growth is driven by overexpression of MDM2. Consequently, the inhibition of MDM2 would hinder ATRT cell growth. The hypothesis was investigated using shRNA to knockdown the expression level of MDM2 in the BT16 (ATRT/MYC) and CHB-ATRT1 (ATRT/MYC) cell lines (Fig. 2). Using a colony formation assay, in both the BT16 and CHB-ATRT1 cell lines, transfection with shMDM2 significantly decreased the number of colonies formed after 10 days for the BT16 (P<0.05; Fig. 2A) and CHB-ATRT1 (P<0.01; Fig. 2B) cell lines. Conversely, shTP53 enhanced ATRT cell growth (P<0.01; Fig. 2A and B). Overexpression of TP53 suppressed colony formation in the BT16 and CHB-ATRT1 ATRT cell lines (P<0.01; Fig. 2A and B). Knockdown and overexpression of MDM2 and TP53 was verified using western blot analysis (Figs. 2C, S2 and S3). These data suggest that activation of TP53 maybe a potential therapeutic target in ATRT.
Figure 2

Genetic knockdown and activation of TP53 in the ATRT cell lines. Colony formation assay was performed in the (A) BT16 and (B) CHB-ATRT1 cell lines following transfected with either TP53 or MDM2 shRNAs and with overexpression of TP53. The results were also quantified. *P<0.05; **P<0.01 vs. control. (C) Western blot analysis was performed in the BT16 and CHB-ATRT1 cell lines following transfection with TP53 or MDM2 shRNAs and with overexpression of TP53. ATRT, atypical teratoid rhabdoid tumor; sh, short hairpin; Ox, overexpression.

Chemical inhibition of MDM2 suppresses ATRT growth in vitro

To further evaluate the effect of MDM2 inhibition on ATRT cells, Nutlin3, a potent and selective MDM2 antagonist was subsequently used. Nutlin3 potently inhibited the colony formation ability of both the BT16 and MAF737 cell lines, in a dose-dependent manner, with IC50, 750 and 700 nM for the BT16 and MAF737 cell lines, respectively (Figs. 3A and B, and S4A and B).
Figure 3

Chemical inhibition of MDM2 using Nutlin suppresses ATRT growth in vitro. Nutlin3 inhibits colony formation ability in the (A) BT16 and (B) MAF737 ATRT cell lines. The results were subsequently quantified. *P<0.05 vs. control. (C) The MDM2 inhibitor, idasanultin reduced the colony formation ability in the (C) BT16 and (D) MAF737 cells lines. The results were subsequently quantified. *P<0.05 vs. control. The error bars show the standard error of the mean. ATRT, atypical teratoid rhabdoid tumor.

Nutlin was the initial inhibitor identified that targeted the interaction of MDM2 with TP53 (18) Idasanutlin (RG7388), a second-generation Nutlin, with improved potency, toxicity, selectivity and bioavailability is in clinical development (19). Therefore, the ability of idasanutlin to inhibit the ATRT cell lines was investigated. Idasanutlin potently attenuated ATRT cell colonal formation, at a low nanomolar concentration, with an IC50 of 30 nM (Figs. 3C and D, and S4C and D).

Idasanutlin inhibits ATRT growth depending on MDM2 expression in subgroups

Next, the effect of chemical inhibition of MDM2, in additional cell lines from the different ATRT subgroups was analyzed. The CHLA04 and CHB-ATRT1 cell lines, from the SHH and MYC subgroups, respectively were chosen. First, the cells from different ATRT subgroups were treated with a small concentration of idasanutlin (30 nM). Cell viability and IC50 measurements were performed using flow cytometry. The CHLA04 cell line was less sensitive compared with that in the BT16 and MAF737 cell lines (Fig. 4A). In addition, 30 nM idasanutlin decreased the cell viability in the CHB-ATRT1; however, the result was not significantly different (Fig. 4A). Then, all the cell lines were treated with varying concentrations of idasanutlin. The results revealed that the CHB-ATRT1 cell line was more resistant to idasanutlin treatment (Fig. 4B; Table I). The IC50 for the CHB-ATRT1/MYC cell line, with the lowest MDM2 expression level, increased as compared with that in the CHLA04/SHH, BT16/TYR/MYC and MAF737/TYR cell lines, with high MDM2 expression level (Fig. 4B; Table I). Furthermore, the NHA cell line was also treated with different concentrations of idasanutlin and the results showed that idasanutlin treatment, even at 5 µM did not change cell viability (Fig. 4A and B).
Figure 4

Treatment with idasanutlin in ATRT cell lines from different subgroups and NHA. ATRT cells from different subgroups (TYR, SHH and MYC) were treated with idasanutlin (A) at 30 nM (IC50) and (B) different concentrations, then cell viability was measured. n=3. The error bars show the standard error of the mean. *P<0.05 vs NHA. NHA, normal human astrocytes; ATRT, atypical teratoid rhabdoid tumor.

Table I

IC50 values in different ATRT and normal brain cell lines following treatment with idasanutlin.

VariableATRT subtype
Control Cell lineTYR/MYCTYRSHHMYC
NHABT16MAF737CHLA04CHB-ATRT1
IC50, nMNA30301401,500

NHA, normal human astrocytes; ATRT, atypical teratoid rhabdoid tumor.

Pharmacological inhibition of MDM2 drives a therapeutic effect in intracranial orthotopic xenograft models of ATRT

Subsequently, it was investigated whether MDM2 inhibition, by idasanutlin, could be effective in an intracranial orthotopic xenograft in vivo model. The MAF737 cell line was transduced with a luciferase expressing vector and stereotactically injected into the cerebellum of immunocompromised mice. The mice were randomized and treated with vehicle or idasanutlin (30 mg/kg) by oral gavage, 5 times per week for 2 weeks. The treatment response was determined using patient-analogous MRI. In the idasanutlin treated group, MRI images showed decreases in tumor growth and invasive tissue (Fig. 5A). Volumetric analysis of the tumors, using MRI, demonstrated a significantly smaller tumor size in treated animals compared with that in the control animals (P<0.05; Fig. 5B). ADC was calculated from diffusion-weighted imaging maps, as a measure of tumor cellularity. After one week of treatment, ADC was significantly higher in the idasanutlin treated group compared with that in the vehicle group (P<0.05; Fig. 5C), which suggests that idasanutlin treatment leads to necrosis/apoptosis. The results showing that idasanutlin treatment resulted in higher ADC values compared with that in the control group further indicates that idasanutlin may be a promising target in a clinical setting. Histological evaluation confirmed diffusely infiltrating, SMARCB1 deleted tumors (Fig. 5D), with decreased proliferative index in Ki67 staining in idasanutlin treated animals (P<0.05; Fig. 5D and E). Furthermore, analysis of tumor tissues revealed an increased number of caspase-3-positive cells in the idasanutlin treated group, further demonstrating induction of apoptosis in vivo (P<0.05; Fig. 5D and E). Tumor formation was analyzed using bioluminescence (Fig. 5G). Treatment with idasanutlin resulted in significantly decreased bioluminescent signal, suggesting attenuation of tumor growth (P<0.05; Figs. 5G and H, and S5A). Furthermore, animals treated with idasanutlin survived longer compared with that in the control animals. Median survival time for mice treated with idasanutlin was 14 days vs. 9 days in mice treated with the vehicle. Kaplan-Meier survival analysis revealed an improvement in overall survival time in mice treated with idasanutlin comparied with those treated with vehicle (P=0.18) (Fig. 5I). Idasanutlin was not toxic to the mice and did not lead to any weight lost as compared with that in the vehicle control group (Fig. S5B).
Figure 5

MDM2 inhibition using idasanutlin suppressed atypical teratoid rhabdoid tumor growth in vivo. (A) Representative axial T2-weighted turbo RARE MRI sequences of mice in the vehicle and idasanutlin treatment groups 1 week after treatment was started. (B) MRI volumetric analysis demonstrates decreased tumor volume in the idasanutlin treated cohort. n=3. **P<0.01. (C) ADC was calculated from diffusion-weighted imaging maps, as a criterion for tumor cellularity. After one week of treatment, ADC was significantly higher in the idasanutlin treated group compared with that in the vehicle group. *P<0.05. (D) H&E, Ki67 and caspase-3 IHC images from the cerebellar tumors collected at the end-points of the in vivo xenograft model. ×40 magnification. The results were subsequently quantified for (E) Ki67 and (F) caspase3. Plots show values from quantification of 3 representative images from 3 treated mice. *P<0.05; **P<0.01. (G) IVIS images of mice on different days of treatments. Treatment started at day 0 and the results were subsequently (H) quantified. The error bars show the standard error of the mean. (I) Survival analysis of idasanutlin vs. vehicle treated animals. Median survival times of idasanutlin treated animals was 14 days vs. 9 days in the vehicle treated group. Idasanutlin treatment slowed tumor growth and increased mouse survival. ADC, apparent diffusion coefficient; IHC, immunohistochemtistry; idasa, idasanutlin.

Idasnutlin enhances radiation sensitivity of the ATRT cells

Radiation is one of the main treatment methods in most ATRT clinical protocols (2). To investigate whether inhibition of MDM2 could alter the sensitivity of the ATRT cells to radiation, the BT16 cell line was treated with 18 nM idasanutlin (IC30 as previously calculated) for 6 h before irradiation and the effects were evaluated using a colony formation assay (Fig. 6A). SER was calculated at the 10% (SF0.1) and 50% (SF0.5) surviving fraction in idasanutlin and DMSO treated cells. For the BT16 cell line pretreated with idasanutlin, the SERs were 1.632 for SF0.1 and SF0.5 (Fig. 6B). The SER demonstrates the effect of the sensitizing agent relative to the control in the presence of radiation. A SER greater than one indicates a synergistic effect of the sensitization agent with radiation. Thus, the radiation survival curves obtained using the colony formation assay showed that idasanutlin pretreatment sensitized human ATRT cells to ionizing radiation.
Figure 6

Idasanutlin sensitizes the BT16 ATRT cell line to radiation treatment. (A) The BT16 cell line was treated with different doses of radiation following 6 h pretreatment with 18 nM idasanutlin, then 10 days later a colony formation assay was performed. (B) The surviving fraction was calculated 10 days later according to the number of colonies. Sensitivity enhancement ratio was calculated at 10 and 50% of the surviving fraction. Idasanutlin increased radiosensitization of BT16 ATRT cells. (C) Representative immunofluorescence images of γH2AX accumulation in the BT16 ATRT cells, following treatment with idasanutlin (IC50, 30 nM; 72 h), then radiated with 4 Gy radiation. The cells were stained with γH2AX and DAPI 24 h after radiation. (D) Quantification of immunofluorescence. *P<0.05; **P<0.001 vs. DMSO. (E) Flow cytometry was used to analyze γH2AX accumulation in cells treated with idasanutlin (IC50, 30 nM; 72 h), then radiation (4 Gy; 24 h), then the results were (F) quantified. ***P<0.001, ****P<0.0001). (G) Flow cytometry was used to analyze reactive oxygen species in the BT16 ATRT cell line treated with idasanutlin (IC50, 30 nM; 72 h), then radiated (4 Gy; 24 h). (H) Quantification of ROS accumulation. *P<0.05. **P<0.01. (I) Western blot analysis was used to analyze the expression level of different pro-apoptotic proteins in the BT16 ATRT cells following treatment with idasanutlin (IC50, 30 nM; 72 h) in combination with 2, 4 and 6 Gy radiation. ATRT, atypical teratoid rhabdoid tumor; ROS, reactive oxygen species

To investigate whether idasanutlin and radiation treatment in combination increased DNA damage, the BT16 cell line was cultured and treated with DMSO or idasanutlin (IC50, 30 nM) and concurrently treated with 4 Gy radiation. After 24 h, the cells were evaluated for γH2AX expression using immunofluorescence, as a surrogate marker of DNA damage. Compared with that in the DMSO control, idasanutlin alone increased the γH2AX signal in the ATRT cell line (P<0.01; Fig. 6C and D). Radiation treatment alone also resulted in the accumulation of γH2AX, which was significantly enhanced by idasanutlin in the ATRT cell line (P<0.005; Fig. 6C and D). The data were further confirmed by evaluating γH2AX using flow cytometry (Fig. 6E and F). Idasanutlin significantly enhanced radiation-mediated DNA damage (P<0.0001; Fig. 6F). Subsequently, it was investigated whether the DNA damage was associated with increased ROS, in response to radiation. ROS was analyzed using flow cytometry and the MitoSox assay (Fig. 6G and H). Treatment with idasanutlin and radiation combined significantly enhanced ROS formation, further indicating that MDM2 inhibition sensitizes ATRT cells to radiation (Fig. 6G and H). Consistent with this data, treatment of the BT16 cells with idasanutlin (IC50, 30 nM) enhanced TP53 protein induction by radiation, concurrent with induction of the pro-apoptotic BAX and PUMA proteins, which are targets of TP53 activity (Figs. 6I, and S6 and S7). Together these data establish a strategy to treat ATRT with idasanutlin and radiation.

Discussion

Characterized by an average 5-year survival rate of 30-40%, ATRT is a highly aggressive brain tumor, that develops in childhood (2,36,37). Intensive chemotherapy, radiation and autologous stem cell transplant results in therapy-related toxicity with poor results (3,4). Epigenetic dysregulation of the genome, caused by the loss of the SMARCB1 gene, is the key molecular feature in ATRT (5,6). SMARCB1 affects lineage commitment and differentiation by controlling gene expression (7). ATRT demonstrate a quiescent genome, but gene expression analysis shows they are heterogeneous (8-11). A previous study demonstrated that the SMARCB1 deletion leads to assembly of aberrant SWI/SNF complexes, which results in differential occupancy of super-enhancers (38). Furthermore, SMARCB1 is required to activate bivalent promoter (39). Unfortunately, therapeutic strategies to target the deletion of SMARCB1 have remained elusive. Thus, there is an urgent requirement to improve the understanding of how SMARCB1 regulates tumorigenesis leading to novel, less toxic and more effective therapies for children with ATRT. Using unbiased RNA interference screening, TP53 was identified as a potential therapeutic target in ATRT. TP53, as a critical component in SMARCB1 deficient tumors, is an emerging concept. In SMARCB1 deleted extra-cranial MRT, TP53 acts as a regulator of proteostasis and tumor progression (23). Carugo et al (23) demonstrated that the SMARCB1 deletion drives endoplasmi reticulum stress in murine livers and that attenuation of the autophagy response could suppress MRT formation. Importantly, they identified TP53 a key regulator of the autophagy response driven by SMARCB1 deficiency (23). A previous study showed that TP53 activation by MDM2/MDM4 inhibition was effective in SMARCB1 deleted malignant rhabdoid tumor cells and decreased the growth of flank xenografts in vivo (22). The results from that study combined with the results from the present study identifies a novel therapeutic strategy for both intra cranial and extra cranial SMARCB1 deleted rhabdoid tumors. Howard et al (22) identified TP53 as a potential target in MRT using data from genome-wide CRISPR screens. In addition, SMARCB1 sufficiency regulates the response to TP53 driven apoptosis and that sensitivity to MDM2 inhibition is associated with expression in MRT cell lines (22). ATRT subgroups (SHH, TYR and MYC), classified by DNA methylation and gene expression patterns, demonstrate differences in clinical presentation (2). TYR tumors are associated with a younger median age and infratentorial location, while SHH occur more frequently in the cerebral cortex (2). SMARCB1 alterations also vary between groups. SHH and TYR tumors are associated with point mutations and focal deletions, while MYC tumors exhibit broad deletion (2,12). However, it is not yet clear if these subgroups affect the response to therapy. In the present study it was found that idasanutlin inhibits ATRT cell growth in all ATRT subgroups, but with different IC50 concentrations. The highest IC50 was found with the lowest MDM2 expression among the ATRT subgroups. Furthermore, idasanutlin inhibited in vivo growth in orthotopic intracranial xenografts by activating the TP53 pathway. Furthermore, chemical inhibition of MDM2 co-operates with radiation to enhance DNA damage and cell death in vitro. Additional in vivo studies are required to establish optimal dosing schedules, combining idasanutlin with radiation. The results from the present study establish TP53 as a druggable pathway in ATRT. In glioblastoma, RG7388 suppressed tumor growth in vitro and in vivo, but resistance occurred in the MAP kinase pathway (40). Similarly P53/MDM2 inhibition synergizes with EGFR inhibition in glioblastoma (41). While glioblastoma is genetically diverse and distinct from SMARCB1 deficient ATRT, these 2 studies (40,41) demonstrate the generalizability of p53/MDM2 inhibition in brain tumors. Idasanutlin has been examined in a range of adult clinical trials, targeting hematopoietic and solid tumors (NCT02828930, NCT01773408 and NCT01901172). The major dose limiting toxicities identified in these studies included myelosuppression (42). Currently, there are several ongoing studies in leukemia and solid tumors (43). Of note, a study investigating idasanutlin in brain tumors is currently open for glioblastoma (NCT03158389). However, no studies investigating idasanutlin are open in pediatric brain tumors. Several pediatric clinical trials consortia are planning novel ATRT trials by adding agents to current chemotherapy backbones. DM2 inhibition is one of these approaches being considered and several trials in ATRT are planned (Dr Susan Chi, Pediatrics, Boston Children's Hospital; personal communication). The results from the present study, combined with that from Howard et al (22) established a novel therapy for SMARCB1 deficient rhabdoid tumors, irrespective of tumor location or genomic subgroup and provide the preclinical justification for trials in pediatric tumors. Notably, the Pediatric Preclinical Testing Program found RG7112 (an earlier generation of a MDM2 inhibitor) was effective against non-cranial malignant rhabdoid tumors, further confirming the role of MDM2/TP53 in SMARCB1 deficient tumors (43). These studies warrant further investigation and clinical development for ATRT and other pediatric brain tumors. In conclusion, the present study shows that MDM2 is a therapeutic target in ATRT. In vivo pharmacological inhibition of MDM2 using idasanutlin significantly decreases growth of intracranial orthotopic ATRT tumors, leads to necrosis/apoptosis in ATRT tumors and prolongs survival time in idasanutlin treated mice. More importantly, it was found that idasanutlin sensitizes ATRT cells to ionizing radiation by increasing DNA damage and ROS accumulation in vitro. It was demonstrated that the TP53/MDM2 axis is a crucial regulator of ATRT cell growth, as well as a potential target in this childhood brain tumor.
  43 in total

1.  Alterations of the hSNF5/INI1 gene in central nervous system atypical teratoid/rhabdoid tumors and renal and extrarenal rhabdoid tumors.

Authors:  Jaclyn A Biegel; Lu Tan; Fan Zhang; Luanne Wainwright; Pierre Russo; Lucy B Rorke
Journal:  Clin Cancer Res       Date:  2002-11       Impact factor: 12.531

2.  MDM2 and MDM4 Are Therapeutic Vulnerabilities in Malignant Rhabdoid Tumors.

Authors:  Thomas P Howard; Taylor E Arnoff; Melinda R Song; Andrew O Giacomelli; Xiaofeng Wang; Andrew L Hong; Neekesh V Dharia; Su Wang; Francisca Vazquez; Minh-Tam Pham; Ann M Morgan; Franziska Wachter; Gregory H Bird; Guillaume Kugener; Elaine M Oberlick; Matthew G Rees; Hong L Tiv; Justin H Hwang; Katherine H Walsh; April Cook; John M Krill-Burger; Aviad Tsherniak; Prafulla C Gokhale; Peter J Park; Kimberly Stegmaier; Loren D Walensky; William C Hahn; Charles W M Roberts
Journal:  Cancer Res       Date:  2019-02-12       Impact factor: 12.701

3.  Initial testing of the MDM2 inhibitor RG7112 by the Pediatric Preclinical Testing Program.

Authors:  Hernan Carol; C Patrick Reynolds; Min H Kang; Stephen T Keir; John M Maris; Richard Gorlick; E Anders Kolb; Catherine A Billups; Brian Geier; Raushan T Kurmasheva; Peter J Houghton; Malcolm A Smith; Richard B Lock
Journal:  Pediatr Blood Cancer       Date:  2012-07-02       Impact factor: 3.167

4.  Pediatric rhabdoid tumors of kidney and brain show many differences in gene expression but share dysregulation of cell cycle and epigenetic effector genes.

Authors:  Diane K Birks; Andrew M Donson; Purvi R Patel; Alexandra Sufit; Elizabeth M Algar; Christopher Dunham; B K Kleinschmidt-DeMasters; Michael H Handler; Rajeev Vibhakar; Nicholas K Foreman
Journal:  Pediatr Blood Cancer       Date:  2013-02-04       Impact factor: 3.167

Review 5.  MDM2, MDMX and p53 in oncogenesis and cancer therapy.

Authors:  Mark Wade; Yao-Cheng Li; Geoffrey M Wahl
Journal:  Nat Rev Cancer       Date:  2013-01-10       Impact factor: 60.716

6.  A remarkably simple genome underlies highly malignant pediatric rhabdoid cancers.

Authors:  Ryan S Lee; Chip Stewart; Scott L Carter; Lauren Ambrogio; Kristian Cibulskis; Carrie Sougnez; Michael S Lawrence; Daniel Auclair; Jaume Mora; Todd R Golub; Jaclyn A Biegel; Gad Getz; Charles W M Roberts
Journal:  J Clin Invest       Date:  2012-07-17       Impact factor: 14.808

7.  Evolving gene/transcript definitions significantly alter the interpretation of GeneChip data.

Authors:  Manhong Dai; Pinglang Wang; Andrew D Boyd; Georgi Kostov; Brian Athey; Edward G Jones; William E Bunney; Richard M Myers; Terry P Speed; Huda Akil; Stanley J Watson; Fan Meng
Journal:  Nucleic Acids Res       Date:  2005-11-10       Impact factor: 16.971

8.  Pre-clinical evaluation of the MDM2-p53 antagonist RG7388 alone and in combination with chemotherapy in neuroblastoma.

Authors:  Lindi Chen; Raphaël F Rousseau; Steven A Middleton; Gwen L Nichols; David R Newell; John Lunec; Deborah A Tweddle
Journal:  Oncotarget       Date:  2015-04-30

9.  Epigenetic targeting of Hedgehog pathway transcriptional output through BET bromodomain inhibition.

Authors:  Yujie Tang; Sharareh Gholamin; Simone Schubert; Minde I Willardson; Alex Lee; Pratiti Bandopadhayay; Guillame Bergthold; Sabran Masoud; Brian Nguyen; Nujsaubnusi Vue; Brianna Balansay; Furong Yu; Sekyung Oh; Pamelyn Woo; Spenser Chen; Anitha Ponnuswami; Michelle Monje; Scott X Atwood; Ramon J Whitson; Siddhartha Mitra; Samuel H Cheshier; Jun Qi; Rameen Beroukhim; Jean Y Tang; Rob Wechsler-Reya; Anthony E Oro; Brian A Link; James E Bradner; Yoon-Jae Cho
Journal:  Nat Med       Date:  2014-06-29       Impact factor: 53.440

10.  Molecular subgrouping of atypical teratoid/rhabdoid tumors-a reinvestigation and current consensus.

Authors:  Ben Ho; Pascal D Johann; Yura Grabovska; Mamy Jean De Dieu Andrianteranagna; Fupan Yao; Michael Frühwald; Martin Hasselblatt; Franck Bourdeaut; Daniel Williamson; Annie Huang; Marcel Kool
Journal:  Neuro Oncol       Date:  2020-05-15       Impact factor: 12.300

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