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Atypical teratoid/rhabdoid tumors (ATRTs) represent a rare, but aggressive pediatric brain tumor entity. They are genetically defined by alterations in the SWI/SNF chromatin remodeling complex members SMARCB1 or SMARCA4. ATRTs can be further classified in different molecular subgroups based on their epigenetic profiles. Although recent studies suggest that the different subgroups have distinct clinical features, subgroup-specific treatment regimens have not been developed thus far. This is hampered by the lack of pre-clinical in vitro models representative of the different molecular subgroups. Here, we describe the establishment of ATRT tumoroid models from the ATRT-MYC and ATRT-SHH subgroups. We demonstrate that ATRT tumoroids retain subgroup-specific epigenetic and gene expression profiles. High throughput drug screens on our ATRT tumoroids revealed distinct drug sensitivities between and within ATRT-MYC and ATRT-SHH subgroups. Whereas ATRT-MYC universally displayed high sensitivity to multi-targeted tyrosine kinase inhibitors, ATRT-SHH showed a more heterogeneous response with a subset showing high sensitivity to NOTCH inhibitors, which corresponded to high expression of NOTCH receptors. Our ATRT tumoroids represent the first pediatric brain tumor organoid model, providing a representative pre-clinical model which enables the development of subgroup-specific therapies.

Negli ultimi anni si è assistito ad un sensazionale aumento della presenza di sistemi e sensori elettronici all'interno delle automobili, che ha portato il sistema di interconnessioni ad essere uno degli aspetti maggiormenti critici e degni di attenzione durante le fasi di progettazione. E' divenuto quindi necessario studiare nuovi metodi di comunicazione al fine di gestire al meglio tale livello di complessità e favorire lo sviluppo dell'automobile del futuro. Nell'ambito di questa attività di ricerca, è stata proposta la progettazione di un ricetrasmettitore Supply-Embedded Communication (SEC) con caratteristiche tali da fornire vantaggi in termini economici, in semplicità costruttiva e relativamente al peso del veicolo stesso. Infatti nel sistema Supply-Embedded Communication utilizzato, l’alimentazione è unita al bus di comunicazione, portando ad una drastica riduzione del numero d'interconnessioni. Pertanto il metodo di comunicazione proposto si pone l'obiettivo di essere un layer fisico addizionale al Controller Area Network (CAN), il bus attualmente più diffuso nell’industria automotive, permettendo il raggiungimento di una velocità di trasmissione dati di diversi Mbps. Sono stati realizzate due diverse tipologie di trasmettitori basati su capacita di commutazione, implementati in un primo test chip in tecnologia 180nm CMOS SOI. Il prototipo realizzato è stato validato da test di comunicazione svolti in laboratorio, connettendo il chip stesso con una scheda dimostrativa a componenti discreti che funge da ricevitore. Inoltre un circuito di ricezione, basato su due latch StrongArm, è stato proposto ed integrato nella seconda versione del prototipo per realizzare il ricetrasmettitore SEC completo. Paragonato alle soluzioni già disponibili sul mercato, il metodo presentato in questa tesi può raggiungere una velocità di trasmissione di 2Mbps, rendendolo in grado d'implementare reti ad alta velocità come avviene nel bus CAN. Come progetto secondario è stato sviluppato un circuito di bandgap reference con compensazione al secondo ordine. I bandgap reference sono presenti ormai in quasi tutti i circuiti integrati e ve ne è presente uno anche nel ricetrasmettitore SEC oggetto di questa tesi, al fine di fornire la necessaria corrente di polarizzazione ai circuiti. Nonostante il progetto principale sia realizzato in tecnologia 180nm, il progetto secondario è svolto in 110nm per scopi didattici. Il circuito proposto è stato validato da simulazioni svolte in un range di temperature da -40°C a 175°C in un processo a 6σ.La compensazione al secondo ordine apporta vantaggi notevoli, in quanto fornisce un massima variazione dalla temperatura ambiente inferiore ad 1mV nel corner tipico e di 1.3mV nel corner peggiore. Automotive wire harness has become nowadays a very complex system as the number of electronic systems and sensors inside a vehicle has increased dramatically. To manage this complexity, and to support the automotive systems of tomorrow, new communication methods need to be investigated. In this research activity, a Supply-Embedded Communication (SEC) transceiver for differential automotive networks is developed to provide advantages in cost, complexity, and weight. In a Supply-Embedded Communication system, the power supply is merged on the communication bus and hence the number of interconnections is drastically reduced. The proposed approach is intended to be an effective additional physical layer to the Controller Area Network (CAN) which is the most widespread bus in the automotive industry, and hence transmission speed in the order of some Mbps is desired. Two transmitter topologies based on switching capacitors and their implementation in a first test chip in 180nm CMOS SOI technology are presented. The prototype is validated by communication tests in the laboratory connecting it to a discrete component-based demonstrator receiver board through an unshielded twisted pair cable. A receiver circuit based on StrongArm Latches is designed and integrated into the second version of the prototype to realize a full SEC transceiver. Compared to commercially available solutions, the proposed approach can reach a data transmission rate of 2Mbps making it able to implement high-speed event-driven networks, such as the CAN. As a side project, a second order curvature compensated bandgap reference circuit is proposed. Voltage references are used in almost every integrated circuit and, one of them is also present in the SEC transceiver prototype to furnish the required bias to the circuit. Although the main project is done in 180nm technology, the side project is developed in 110nm technology for educational purposes. The proposed circuit is validated by simulation in a temperature range from -40°C to 175°C in a 6σ process spread. The second order compensation introduces a considerable improvement in performance by reducing the maximum variation from the room temperature to a value lower than 1mV in the typical corner and to 1.3mV in the worst corner.

Metastatic melanoma is an aggressive skin cancer and associated with a poor prognosis. In clinical terms, targeted therapy is one of the most important treatments for patients with BRAFV600E -mutated advanced melanoma. However, the development of resistance to this treatment compromises its therapeutic success. We previously demonstrated that forkhead box D1 (FOXD1) regulates melanoma migration and invasion. Here, we found that FOXD1 was highly expressed in melanoma cells and was associated with a poor survival of patients with metastatic melanoma. Upregulation of FOXD1 expression enhanced melanoma cells' resistance to vemurafenib (BRAF inhibitor [BRAFi]) or vemurafenib and cobimetinib (MEK inhibitor) combination treatment whereas loss of FOXD1 increased the sensitivity to treatment. By comparing gene expression levels between FOXD1 knockdown (KD) and overexpressing (OE) cells, we identified the connective tissue growth factor (CTGF) as a downstream factor of FOXD1. Chromatin immunoprecipitation and luciferase assay demonstrated the direct binding of FOXD1 to the CTGF promoter. Similar to FOXD1, knockdown of CTGF increased the sensitivity of BRAFi-resistant cells to vemurafenib. FOXD1 KD cells treated with recombinant CTGF protein were less sensitive towards vemurafenib compared to untreated FOXD1 KD cells. Based on these findings, we conclude that FOXD1 might be a promising new diagnostic marker and a therapeutic target for the treatment of targeted therapy resistant melanoma.

Metastatic melanoma is one of the most aggressive skin cancers and is associated with poor prognosis. BRAF and MEK inhibitors are used to treat patients with BRAFV600E-mutated advanced melanoma. However, the development of resistances to these treatments compromises therapeutic success. Our lab previously demonstrated that forkhead box D1 (FOXD1) plays a critical role in melanoma migration and invasion. Here, we found that FOXD1 was highly expressed in melanoma cells. Immunohistochemical assessment of 105 samples from patients with metastatic melanoma revealed that high FOXD1 expression in tumors was associated with poor survival and correlated with low MITF, SOX10 and high AXL expression. Upregulation of FOXD1 expression enhanced the resistance of melanoma to vemurafenib (BRAF inhibitor) or combinatorial treatment with vemurafenib and cobimetinib (MEK inhibitor). On the other hand, loss of FOXD1 increased the sensitivity of naïve melanoma cells towards vemurafenib or combinatorial treatment with vemurafenib and cobimetinib. Furthermore, high FOXD1 expression levels were found in BRAF inhibitor (BRAFi)-resistant cells. Downregulation of FOXD1 resulted in a resensitization of BRAFi-resistant cells to vemurafenib. By using microarray analysis, connective tissue growth factor (CTGF) was found to be one of the most downregulated genes in FOXD1 knockdown (KD) cells while its expression was highly increased upon FOXD1 overexpression. Thus, CTGF was identified as a downstream factor of FOXD1. In addition, in vitro expression analysis and evaluation of clinical samples demonstrated that CTGF and FOXD1 expression were positively correlated. By using a CHIP assay and a dual reporter luciferase assay, we discovered that FOXD1 could regulate the expression of CTGF by directly binding to the CTGF promoter. This result was confirmed with RT-PCR and western blot. In addition, we found that the protein level of CTGF was highly increased in BRAFi-resistant cells. Similar to FOXD1 knockdown, the knockdown of CTGF resensitized BRAFi-resistant cells to vemurafenib. FOXD1 KD cells treated with recombinant CTGF protein were less sensitive towards vemurafenib compared to untreated FOXD1 KD cells. Based on these findings, we conclude that the transcription factor FOXD1 could promote dedifferentiation and targeted therapy-resistance in melanoma cells by regulating the expression of CTGF. FOXD1 might be a promising new diagnostical marker and a therapeutic target of targeted therapy resistant melanoma. Citation Format: Qian Sun, Daniel Novak, Laura Hüser, Juliane Poelchen, Huizi Wu, Karol Granados, Aniello Federico Federico, Ke Liu, Tamara Steinfass, Marlene Vierthaler, Viktor Umansky, Jochen Utikal. FOXD1 promotes dedifferentiation and targeted therapy resistance in melanoma by regulating the expression of connective tissue growth factor [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 431.

Cancer represents a leading cause of death by disease in childhood. Pediatric tumors exhibit a high intertumoral heterogeneity, as different tumor types and subtypes have emerged with peculiar molecular and clinical features; however, compared to cancer in adults, pediatric tumors are rare and mostly present with lower mutational burden. The lack of specific therapeutic options represents the main current challenge; systematic, multi-disciplinary approaches are required to accelerate drug development and ultimately to find cures for all children with cancer. The EU funded “Innovative Therapies for Children with Cancer–Pediatric Preclinical Proof-of-Concept Project” (ITCC-P4; www.itccp4.eu) consortium consists of a public-private partnership including academic and industrial partners with the goal of developing a large-scale platform comprising >400 patient-derived xenograft (PDX) models representing high-risk pediatric cancers. Currently, this collection of PDX models includes the most common types of pediatric tumors, such as leukemia (n=28), bone and soft-tissue sarcomas (n=154), CNS tumors (n=96) and neuroblastomas (n=38), as well as other rare childhood cancers, such as hepatoblastomas (n=20) and malignant rhabdoid tumors (n=18); PDX models have been generated either from primary (n=206) or relapse (n=118) disease. In order to: a) investigate the biology of the pediatric PDX models in a high-throughput and systematic fashion, b) assess whether they accurately reflect the molecular features of the corresponding primary tumor and, c) identify potential new suitable biomarkers, we performed a comprehensive molecular characterization (whole-exome and low-coverage whole-genome sequencing; DNA methylation profiling; RNAseq and gene expression profiling) of the PDX models, as well as their matching human tumors and germline samples. These data contributed to the stratification of the PDX models based on their mutational status and emerging molecular vulnerabilities to inform in vivo drug testing in all these PDX models. This proof-of-concept drug testing has been conducted defining, for each group of models, a panel of single compounds (SOC n=3; novel targeted therapies, n=6) or combinations (with each other or with chemo- or radiotherapy). All processed molecular and drug-testing data are collected in the consortium´s centralized data repository (https://r2.amc.nl) allowing data downstream analysis, visualization and interpretation. Taken together, the ITCC-P4 sustainable platform represents a validated and powerful tool to investigate the biology of pediatric cancer based on the establishment, characterization and preclinical testing of pediatric cancer PDX models, ultimately envisaged to contribute the development of innovative therapeutic options for childhood cancer patients. Citation Format: Aniello Federico, Apurva Gopisetty, Didier Surdez, Yasmine Iddir, Alexandra Saint-Charles, Justyna Wierzbinska, Andreas Schlicker, Richard Volckmann, Danny Zwijnenburg, Sara Colombetti, Olaf Heidenreich, Fatima Iradier, Heinrich Kovar, Jan-Henning Klusmann, Klaus-Michael Debatin, Simon Bomken, Christina Guttke, Maureen M. Hattersley, Frédéric Colland, Ashley Strougo, María José Guillén, Louis Chesler, Chris Jones, Maria Eugénia Marques da Costa, Katia Scotlandi, Massimo Moro, Beat Schäfer, Marco Wachtel, Johannes Gojo, Walter Berger, Ángel Montero Carcaboso, Dennis Gürgen, Jens Hoffmann, Emilie Indersie, Stefano Cairo, Julia Schueler, Nicole Huebener, Johannes H. Schulte, Jan J. Molenaar, Birgit Geoerger, David J. Shields, Hubert N. Caron, Gilles Vassal, Lou F. Stancato, Lou F. Stancato, Stefan M. Pfister, Natalie Jäger, Jan Koster, Marcel Kool, Gudrun Schleiermacher. The ITCC-P4 sustainable platform of fully characterized PDXs supports the preclinical proof-of-concept drug testing of high-risk pediatric tumor models. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3571.

Advancements in state-of-the-art molecular profiling techniques have resulted in better understanding of pediatric cancers and driver events. It has become apparent that pediatric cancers are significantly more heterogeneous than previously thought as evidenced by the number of novel entities and subtypes that have been identified with distinct molecular and clinical characteristics. For most of these newly recognized entities there are extremely limited treatment options available. The ITCC-P4 consortium is an international collaboration between several European academic centers and pharmaceutical companies, with the overall aim to establish a sustainable platform of >400 molecularly well-characterized PDX models of high-risk pediatric cancers, their tumors and matching controls and to use the PDX models for in vivo testing of novel mechanism-of-action based treatments. Currently, 251 models are fully characterized, including 182 brain and 69 non-brain PDX models, representing 112 primary models, 92 relapse, 42 metastasis and 4 progressions under treatment models. Using low coverage whole-genome and whole exome sequencing, somatic mutation calling, DNA copy number and methylation analysis we aim to define genetic features in our PDX models and estimate the molecular fidelity of PDX models compared to their patient tumor. Based on DNA methylation profiling we identified 43 different tumor subgroups within 18 cancer entities. Mutational landscape analysis identified key somatic and germline oncogenic drivers. Ependymoma PDX models displayed the C11orf95-RELA fusion event, YAP1, C11orf95 and RELA structural variants. Medulloblastoma models were driven by MYCN, TP53, GLI2, SUFU and PTEN. High-grade glioma samples showed TP53, ATRX, MYCN and PIK3CA somatic SNVs, along with focal deletions in CDKN2A in chromosome 9. Neuroblastoma models were enriched for ALK SNVs and/or MYCN focal amplification, ATRX SNVs and CDKN2A/B deletions. Tumor mutational burden across entities and copy number analysis was performed to identify allele-specific copy number detection in tumor-normal pairs. Large chromosomal aberrations (deletions, duplications) detected in the PDX models were concurrent with molecular alterations frequently observed in each tumor type -isochromosome 17 was detected in 5 medulloblastoma models, while deletion of chromosome arm 1p or gain of parts of 17q in neuroblastomas which correlate with tumor progression. We observe clonal evolution of somatic variants not only in certain PDX-tumor pairs but also between disease states. The multi-omics approach in this study provides insight into the mutational landscape and patterns of the PDX models thus providing an overview of molecular mechanisms facilitating the identification and prioritization of oncogenic drivers and potential biomarkers for optimal treatment therapies. Citation Format: Apurva Gopisetty, Aniello Federico, Didier Surdez, Yasmine Iddir, Sakina Zaidi, Alexandra Saint-Charles, Joshua Waterfall, Elnaz Saberi-Ansari, Justyna Wierzbinska, Andreas Schlicker, Norman Mack, Benjamin Schwalm, Christopher Previti, Lena Weiser, Ivo Buchhalter, Anna-Lisa Böttcher, Martin Sill, Robert Autry, Frank Estermann, David Jones, Richard Volckmann, Danny Zwijnenburg, Angelika Eggert, Olaf Heidenreich, Fatima Iradier, Irmela Jeremias, Heinrich Kovar, Jan-Henning Klusmann, Klaus-Michael Debatin, Simon Bomken, Petra Hamerlik, Maureen Hattersley, Olaf Witt, Louis Chesler, Alan Mackay, Johannes Gojo, Stefano Cairo, Julia Schueler, Johannes Schulte, Birgit Geoerger, Jan J. Molenaar, David J. Shields, Hubert N. Caron, Gilles Vassal, Louis F. Stancato, Stefan M. Pfister, Natalie Jaeger, Jan Koster, Marcel Kool, Gudrun Schleiermacher. ITCC-P4: Genomic profiling and analyses of pediatric patient tumor and patient-derived xenograft (PDX) models for high throughput in vivo testing [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 234.

Advancements in state-of-the-art molecular profiling techniques has resulted in better understanding of pediatric cancers and their drivers. Conversely, it also became apparent that pediatric cancers are much more heterogeneous than previously thought. Many new types and subtypes of pediatric cancers have been identified with distinct molecular and clinical characteristics. However, for most newly recognized entities there is no specific treatment available yet. The ITCC-P4 consortium is a collaboration between many academic centers across Europe and several pharmaceutical companies involved in preclinical testing, with the overall aim to establish a sustainable platform of >400 molecularly well-characterized PDX models of high-risk pediatric cancers and to use them for in vivo testing of novel mechanism-of-action based treatments. Currently, 340 models are fully established, including 87 brain and 253 non-brain tumor models, together representing different tumor types both from primary (113) and relapsed (92)/metastatic disease (42). 252 of these models have been fully molecularly characterized, representing 18 pediatric cancer entities and 43 different subtypes. Using low coverage whole-genome and whole exome sequencing, somatic mutation calling, DNA copy number, transcriptome analysis and methylation profiling we have observed that the molecular profile of most PDX models closely mimics their original tumors. Clonal evolution of somatic variants was only observed in some PDX-tumor pairs or so between disease states. Somatic copy number variant analysis highlights specific alterations for instance MYB, MYC, MYCN, NTRK3, PTEN loss differently distributed between PDX-patient tumor pairs in high-grade gliomas. Overall, our results show that we have established >250 PDX models of solid pediatric cancers, that well represents the disease spectrum and that is currently being used for in vivo testing of standard of care drugs and targeted small molecules. Treatment responses will be directly linked to molecular data to identify potential biomarkers for prioritization or deprioritization of individual, patient-specific specific drugs.

Atypical teratoid/rhabdoid tumor (ATRT) is an aggressive central nervous system tumor characterized by loss of SMARCB1/INI1 protein expression and comprises three distinct molecular groups, ATRT–TYR, ATRT–MYC and ATRT–SHH. ATRT–SHH represents the largest molecular group and is heterogeneous with regard to age, tumor location and epigenetic profile. We, therefore, aimed to investigate if heterogeneity within ATRT–SHH might also have biological and clinical importance. Consensus clustering of DNA methylation profiles and confirmatory t-SNE analysis of 65 ATRT–SHH yielded three robust molecular subgroups, i.e., SHH-1A, SHH-1B and SHH-2. These subgroups differed by median age of onset (SHH-1A: 18 months, SHH-1B: 107 months, SHH-2: 13 months) and tumor location (SHH-1A: 88% supratentorial; SHH-1B: 85% supratentorial; SHH-2: 93% infratentorial, often extending to the pineal region). Subgroups showed comparable SMARCB1 mutational profiles, but pathogenic/likely pathogenic SMARCB1 germline variants were over-represented in SHH-2 (63%) as compared to SHH-1A (20%) and SHH-1B (0%). Protein expression of proneural marker ASCL1 (enriched in SHH-1B) and glial markers OLIG2 and GFAP (absent in SHH-2) as well as global mRNA expression patterns differed, but all subgroups were characterized by overexpression of SHH as well as Notch pathway members. In a Drosophila model, knockdown of Snr1 (the fly homologue of SMARCB1) in hedgehog activated cells not only altered hedgehog signaling, but also caused aberrant Notch signaling and formation of tumor-like structures. Finally, on survival analysis, molecular subgroup and age of onset (but not ASCL1 staining status) were independently associated with overall survival, older patients (> 3 years) harboring SHH-1B experiencing relatively favorable outcome. In conclusion, ATRT–SHH comprises three subgroups characterized by SHH and Notch pathway activation, but divergent molecular and clinical features. Our data suggest that molecular subgrouping of ATRT–SHH has prognostic relevance and might aid to stratify patients within future clinical trials.

Malignant melanoma is the most deadly skin cancer, associated with rising incidence and mortality rates. Most of the patients with melanoma, treated with current targeted therapies, develop a drug resistance, causing tumor relapse. The attainment of a better understanding of novel cancer-promoting molecular mechanisms driving melanoma progression is essential for the development of more effective targeted therapeutic approaches. Recent studies, including the research previously conducted in our laboratory, reported that the histone methyltransferase SETDB1 contributes to melanoma pathogenesis. In this follow-up study, we further elucidated the role of SETDB1 in melanoma, showing that SETDB1 modulated relevant transcriptomic effects in melanoma, in particular, as activator of cancer-related secreted (CRS) factors and as repressor of melanocyte-lineage differentiation (MLD) and metabolic enzymes. Next, we investigated the effects of SETDB1 inhibition via compounds belonging to the mithramycin family, mithramycin A and mithramycin analog (mithralog) EC-8042: melanoma cells showed strong sensitivity to these drugs, which effectively suppressed the expression of SETDB1 and induced changes at the transcriptomic, morphological, and functional level. Moreover, SETDB1 inhibitors enhanced the efficacy of mitogen-activated protein kinase (MAPK) inhibitor-based therapies against melanoma. Taken together, this work highlights the key regulatory role of SETDB1 in melanoma and supports the development of SETDB1-targeting therapeutic strategies for the treatment of melanoma patients., Graphical Abstract, Federico and colleagues investigated the role of SETDB1 in melanoma as master regulator of an oncogenic transcriptional network. Moreover, compounds of the mithramycin family (mithramycin A, EC-8042) strongly impaired SETDB1 levels, leading to antitumor effects. The targeting of SETDB1 represents a promising therapeutic strategy for treating melanoma.

Background Drug resistance remains as one of the major challenges in melanoma therapy. It is well known that tumour cells undergo phenotypic switching during melanoma progression, increasing melanoma plasticity and resistance to mitogen-activated protein kinase inhibitors (MAPKi). Methods We investigated the melanoma phenotype switching using a partial reprogramming model to de-differentiate murine melanoma cells and target melanoma therapy adaptation against MAPKi. Results Here, we show that partially reprogrammed cells are a less proliferative and more de-differentiated cell population, expressing a gene signature for stemness and suppressing melanocyte-specific markers. To investigate adaptation to MAPKi, cells were exposed to B-Raf Proto-Oncogene (BRAF) and mitogen-activated protein kinase kinase (MEK) inhibitors. De-differentiated cells became less sensitive to MAPKi, showed increased cell viability and decreased apoptosis. Furthermore, T-type calcium channels expression increased in adaptive murine cells and in human adaptive melanoma cells. Treatment with the calcium channel blocker mibefradil induced cell death, differentiation and susceptibility to MAPKi in vitro and in vivo. Conclusion In summary, we show that partial reprogramming of melanoma cells induces de-differentiation and adaptation to MAPKi. Moreover, we postulated a calcium channel blocker such as mibefradil, as a potential candidate to restore sensitivity to MAPKi in adaptive melanoma cells.

Atypical teratoid/rhabdoid tumor (AT/RT) is a malignant central nervous system tumor predominantly affecting infants. Mutations of SMARCB1 or (rarely) SMARCA4 causing loss of nuclear SMARCB1 or SMARCA4 protein expression are characteristic features, but further recurrent genetic alterations are lacking. Most AT/RTs occur de novo, but secondary AT/RTs arising from other central nervous system tumors have been reported. Malignant gliomas, IDH wild-type, arising in patients with Li-Fraumeni syndrome typically show somatic mutations of TP53 as well as complex copy number alterations, but little is known about the loss of SMARCB1 or SMARCA4 protein expression in this context. Here, we report 2 children in whom malignant supratentorial brain tumors with SMARCB1 deficiency, complex copy number alterations, and somatic TP53 mutations lead to the discovery of pathogenic/likely pathogenic TP53 variants in the germline. Screening of the molecularneuropathology.org dataset for cases with similar genetic and epigenetic alterations yielded another case with SMARCA4 deficiency in a young adult with Li-Fraumeni syndrome. In conclusion, SMARCB1-deficient or SMARCA4-deficient malignant brain tumors with complex copy number alterations and somatic TP53 mutations in children and young adults may represent the first clinical manifestation of Li-Fraumeni syndrome and should prompt genetic counseling and investigation for TP53 germline status.

Low‐grade diffusely infiltrative tumour (LGDIT), SMARCB1‐mutant, is a histopathological distinct low‐grade lesion encountered in older children and young adults that shows epigenetic similarity with ATRT‐MYC and has the potential for malignant progression. image, publishedVersion

Medulloblastoma (WHO grade 4) is the most common malignant brain tumor of childhood. Despite the high importance of radiotherapy for disease control, the mechanisms underlying response and resistance to radiotherapy are incompletely understood. Therefore, we assessed the radiosensitivity and DNA repair capacity of medulloblastoma cell lines in-vitro and of patient-derived xenograft (PDX) models ex-vivo. Cell survival after irradiation of seven medulloblastoma cell lines displaying different subgroups was assessed via colony formation assay (DAOY, UW228, UW473, SJMM4, ONS-76, HDMB-03, D283). The ONS-76 and the mouse SJMM4 cell line were the most radioresistant strains (surviving fraction after 6 Gy (SF6): 0.33 and 0.31, respectively), followed by UW473, UW 228 and DAOY cells (SF6 0.16-0.21). The non-WNT/non-SHH-activated cell lines HDMB-03 and D283 cells demonstrated profoundly higher cellular radiosensitivity (SF6

Most atypical teratoid/rhabdoid tumors (ATRTs) occur in infants, but children and adolescents may also be affected. ATRTs occurring in older patients often comprise the molecular subgroup ATRT-MYC. Recently, central nervous system low-grade diffusely infiltrative tumor with INI1 deficiency (CNS LGDIT-INI1) has been described as a rare low-grade lesion (Nobusawa et al. Am J Surg Pathol 2020;44:1459-1468). Little is known on the molecular relationship of CNS LGDIT-INI1 and ATRT. We therefore further explored a series of six CNS LGDIT-INI1. The median age of the four males and two females was 16 years (range: 10-28 years). All tumors were of supratentorial location and showed low to moderate cellularity, diffuse growth of inconspicuous small SMARCB1-deficient tumor cells and reactive pleomorphic neuronal and glial cells with retained SMARCB1-staining in the background. In addition, two cases also displayed a high-grade rhabdoid component. After DNA isolation, purification and bisulfite conversion, samples were subjected to DNA methylation profiling (MethylationEPIC BeadChip array). Using DNA methylation-based classification and the Heidelberg Brain Tumor Classifier (version v11b4), all tumors were classified as ATRT-MYC (median calibrated score: 0.97). On t-SNE analysis, DNA methylation profiles grouped closely together in proximity to ATRT-MYC. Follow-up information was available for four cases (including the two cases with a high-grade component). Patients received heterogeneous treatments (including chemotherapy according to AT/RT protocols) and experienced stable disease or complete remission after an observation time of three to 56 months. In conclusion, CNS LGDIT-INI1 is a clinically and histologically distinct entity with relatively favorable outcome. Nevertheless, epigenetic similarity with ATRT-MYC and the potential of malignant progression warrants close follow-up examinations. In line with recent developments of WHO nomenclature, we propose to refer to these tumors as “low-grade diffusely infiltrative tumor, SMARCB1-mutant”.

Atypical Teratoid/Rhabdoid Tumors (ATRTs) are known for exhibiting high inter-tumor heterogeneity, even though they are almost all characterized by a common loss of SMARCB1 (or rarely SMARCA4). Three subgroups have been identified at bulk methylome and transcriptome level: ATRT-TYR, ATRT-SHH, and ATRT-MYC. To better understand the biology underlying each subgroup and potentially unveil their (different) cell(s) of origin, we performed single-cell transcriptomic analyses in 22 ATRTs using fresh frozen samples and both 10X and Smartseq technology. All data, grouped by technology, underwent quality control and normalization, regressing out the biases introduced by each sample. Tumor microenvironment (TME) and tumor bulk (TB) clusters were characterized by a combination of copy number variant analyses, enrichment in literature lists of marker genes for specific cell populations, and in-depth analysis of differentially enriched (DE) genes. Non-negative Matrix Factorization (NMF) was applied to TB to reveal major transcriptional profiles, which were grouped into meta-signatures. A total of 71 gene lists were retrieved from NMF (TB) and DE analyses (TME + TB), that gathered into 11 signature groups by Jaccard similarity, with one extra group accounting for unique signatures. Three groups targeted TME, accounting for either microglia, fibroblasts and endothelial cells, or OPCs, oligodendrocytes, astrocytes and neurons. These signatures are enriched in specific clusters across technologies. The remaining eight groups divide into two types, either enriched in clusters predominantly formed by cells of one or two ATRT subgroups or signatures enriched for a particular phenotype, such as cilial, cycling, axonogenesis or EM transition. While the first type is enriched across clusters in a gradient fashion, the second shows enrichment for selected clusters across technologies. Further analyses on the integrated dataset and additional samples are ongoing to validate and refine these 11 signature groups in ATRTs to see how this may lead to new treatment approaches.

Brain tumors are the leading cause of disease-related death in childhood and strong efforts are required to develop innovative and efficient therapeutic strategies for patients with high-risk disease. Key critical factor of pediatric brain tumors is their molecular heterogeneity; one of the aspects that contributes to such heterogeneity is the intrinsic capacity of the tumor cells to organize, shape and exploit the surrounding brain tumor microenvironment (TME) to sustain tumor growth and malignant progression. TME was proved to play a crucial role in several malignancies, but in pediatric brain malignancies this has not been fully elucidated yet. Here, we aimed at characterizing the TME cell populations and their contributions in ependymoma and medulloblastoma, two of the most common pediatric brain tumor entities. Single-cell transcriptome analysis (n=65 ependymomas; n=39 medulloblastomas) of publicly available tumor datasets, as well as newly generated data of primary tumors and matching patient-derived tumor xenografts (PDX), showed an extensive heterogeneity of TME cell types with distinctive expression signatures. Amongst the identified TME populations, analysis revealed pro-inflammatory and proliferating myeloid cells, tumor-infiltrating lymphocytes, active regulatory T cells and vascular progenitor cells. Comparative analysis between primary and PDX tumors showed that tumor cells stimulated the host microenvironment, which in turn exhibited tumor-associated stromal signatures. Applying a deconvolution method, using our single cell data as reference, on a bulk tumor cohort including PFA ependymomas with different degree of immune infiltration, we observed an enrichment of polarized macrophages and microglia cells in tumor with high infiltration. Next, we identified TME markers involved in tumor-supportive functions, such as immune suppression (TIGIT, FOXP3, BCL2, CD19, ICAM2), pro-inflammatory stimuli (CCL3, CCL4, IL1B, GPNMB), extracellular matrix remodeling (COL4A1) and angiogenic processes (ANGPT2). TME markers with emerging role in ependymoma and medulloblastoma can be considered as possible targets for tailored and more effective anti-tumor therapeutic strategies.

Alterations in histone modifications play a crucial role in the progression of various types of cancer. The histone methyltransferase SETDB1 catalyzes the addition of methyl groups to histone H3 at lysine 9. Here, we describe how overexpression of SETDB1 contributes to melanoma tumorigenesis. SETDB1 is highly amplified in melanoma cells and in the patient tumors. Increased expression of SETDB1, which correlates with SETDB1 amplification, is associated with a more aggressive phenotype in in vitro and in vivo studies. Mechanistically, SETDB1 implements its effects via regulation of thrombospondin 1, and the SET-domain of SETDB1 is essential for the maintenance of its tumorigenic activity. Inhibition of SETDB1 reduces cell growth in melanomas resistant to targeted treatments. Our results indicate that SETDB1 is a major driver of melanoma development and may serve as a potential future target for the treatment of this disease.

Atypical teratoid/rhabdoid tumor (AT/RT) is a malignant central nervous system tumor predominantly affecting infants. Mutations of SMARCB1 or (rarely) SMARCA4 causing loss of nuclear SMARCB1 or SMARCA4 protein expression are characteristic features, but further recurrent genetic alterations are lacking. Most AT/RTs occur de novo, but secondary AT/RTs arising in other central nervous system tumors have been reported. Malignant gliomas, IDH-wildtype, arising in patients with Li-Fraumeni syndrome typically show somatic mutations of TP53 as well as complex copy number alterations, but little is known about loss of SMARCB1 or SMARCA4 protein expression in this context. Here we report two children, in whom malignant supratentorial brain tumors with SMARCB1-deficiency, complex copy number alterations and somatic TP53 mutations lead to the discovery of pathogenic/likely pathogenic TP53 variants in the germ line. Screening of the molecularneuropathology.org data set for cases with similar genetic and epigenetic alterations yielded another case with SMARCA4-deficiency in a young adult with Li-Fraumeni syndrome. In conclusion, SMARCB1- or SMARCA4-deficient malignant brain tumors with complex copy number alterations and somatic TP53 mutations in children and young adults may represent the first clinical manifestation of Li-Fraumeni syndrome and should prompt genetic counseling and investigation for TP53 germline status.

Thanks to state-of-the-art molecular profiling techniques we by now have a much better understanding of pediatric cancers and what is driving them. On the other hand, we have also realized that pediatric cancers are much more heterogeneous than previously thought. Many new types and subtypes of pediatric cancers have been identified with distinct molecular and clinical characteristics. However, for many if not most of these new types and subtypes there is no specific treatment available, yet. In order to develop specific treatment protocols and to increase survival rates for pediatric cancer patients further, both at diagnosis and relapse/metastasis, we need a large collection of well-characterized preclinical models representing all the different types and subtypes. These models can be used for preclinical drug testing to prioritize the pediatric development of anticancer drugs that would be best targeting pediatric tumor biology. The ITCC-P4 consortium, which is a collaboration between many academic centers across Europe, several companies involved in in vivo preclinical testing, and ten pharmaceutical companies, started in 2017 with the overall aim to establish a sustainable platform of >400 molecularly well-characterized PDX models of high-risk pediatric cancers and to use them for in vivo testing of novel mechanism-of-action based treatments. Currently, 340 models have been fully established, including 87 brain tumor models and 253 non-brain tumor models, together representing many different tumor types both from primary and relapsed/metastatic disease. Out of these 340 models, 252 have been fully molecularly characterized, most of them together with their matching original tumors, and almost of all these models are currently being subjected to in vivo testing using three standard of care drugs and six novel mechanism-of-action based drugs. In this presentation, an update on the current status of the ITCC-P4 platform and the data we collectively have generated thus far will be presented.

Four main medulloblastoma (MB) molecular subgroups are known, including the sonic hedgehog (SHH) subgroup, which represents ~25% of MB cases. The 5-year overall survival of SHH-MB is ~80%. However, survival between patients is highly diverse and dependent on the driver mutation(s) of the tumor. Patients with TP53 mutated tumors (often accompanied with MYCN and/or GLI2 amplifications) don’t respond well to current therapies and have a 10-year overall survival below 20%. Therefore, there is a need for new and more tailored therapies for these patients. In this study we aim to screen patient-derived organoid models of TP53-mutated SHH MB with a library of ~200 different compounds. We have optimized the cultures of two PDX-derived and one patient-derived organoid line in vitro. The lines will be screened in a high-throughput manner and the best hits and combinations will be validated in corresponding in vivo PDX models. To further assess the role of specific mutations in therapy outcome of TP53-mutated SHH MB, cerebellar organoids generated from human iPSCs were genetically modified with overexpression of dominant-negative P53 (DNP53) alone or in combination with MYCN and/or GLI2. Introduction of DNP53 and MYCN overexpression in cerebellar organoids at day 28/35 leads to the outgrowth of a Ki67-positive proliferating mass after three weeks, indicating tumor growth. Further analyses are ongoing to see how they match SHH-MB patient tumors. These genetically engineered organoid models may elucidate the role of specific mutations in therapy response and/or resistance. In addition, as tumors in these genetically engineered cerebellar organoids arise in a microenvironment of normal cerebellar cell types, initial safety of drugs on cerebellar cells can be assessed. In conclusion, different organoid models of TP53-mutated SHH MB will enable us to find more effective treatments and to better understand how to treat patients with different mutation combinations.

Atypical teratoid/rhabdoid tumor (AT/RT) is a highly malignant central nervous system tumor predominantly occurring in infants that may also arise in older children and adults. Rare secondary AT/RT developing from other tumors such as pleomorphic xanthoastrocytoma (PXA) are on record, but AT/RT presenting with molecular features of PXA have not been described. Here, we report 3 malignant central nervous system tumors in children (10, 13, and 18 y old). All tumors were located in the temporal lobe. In 2 cases, there was no history of a low-grade precursor lesion; in 1 case anaplastic PXA had been diagnosed 3 months earlier. Histopathologically, all tumors were composed of RT cells and showed frank signs of malignancy as well as loss of nuclear SMARCB1/INI1 protein expression. Two cases displayed homozygous deletions of the SMARCB1 region while the third case showed an exon 7 mutation (c.849_850delGT; p.Met283Ilefs*77). Of note, DNA methylation profiles did not group with AT/RT or other tumor entities using the Heidelberg Brain Tumor Classifier (version v11b4). By unsupervised t-distributed stochastic neighbor embedding analysis and hierarchical clustering analysis, however, all tumors clearly grouped with PXA. Genome-wide copy number analysis revealed homozygous CDNK2A/B deletions and gains of whole chromosome 7. BRAF V600E mutations could be demonstrated in all cases. In conclusion, the possibility of AT/RT with molecular features of PXA needs to be taken into account and warrants molecular characterization of AT/RT especially in older children. Since treatments targeting mutated BRAF are available, identification of such cases may also have therapeutic consequences.

Background Cranial radiation therapy is essential in treating many pediatric cancers, especially brain tumors; however, its use comes with the risk of developing second malignancies. Cranial radiation-induced gliomas (RIGs) are aggressive high-grade tumors with a dismal prognosis, for which no standard therapy exists. A definitive molecular signature for RIGs has not yet been established. We sought to address this gap by performing a systematic review and meta-analysis of the molecular features of cranial RIGs. Methods A systematic review of the literature was performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Articles and case reports that described molecular analyses of cranial radiation-induced high-grade gliomas were identified and evaluated, and data extracted for collation. Results Of 1727 records identified, 31 were eligible, containing 102 unique RIGs with molecular data. The most frequent genetic alterations in RIGs included PDGFRA or TP53 mutations, PDGFRA or CDK4 amplifications, and CDKN2A deletion, along with 1q gain, 1p loss and 13q loss. Of note, mutations in ACVR1, EGFR, H3F3A, HIST1H3B, HIST1H3C, IDH2, SMARCB1 or the TERT promoter were not observed. A comparative analysis revealed that RIGs are molecularly distinct from most other astrocytomas and gliomas and instead align most closely with the pedGBM_RTK1 subgroup of pediatric glioblastoma. Conclusions This comprehensive analysis highlights the major molecular features of RIGs, demonstrates their molecular distinction from many other astrocytomas and gliomas, and reveals potential genetic drivers and therapeutic targets for this currently fatal disease.

Brain tumors are the deadliest malignancies that occur during childhood and strong efforts are required to develop innovative therapeutic strategies. The intrinsic capacity of malignant cells to organize, shape and exploit the surrounding environment where they develop (tumor microenvironment, TME), has not been fully elucidated for pediatric brain cancers yet. Here, we exploited a multi-omic approach to define the TME cell populations and their contributions in the most common pediatric brain tumor entities, such as medulloblastomas and ependymomas. Analysis of single-cell RNA sequencing data of human tumors resulted in the identification of heterogeneous populations of non-malignant cells present in the TME. In particular, re-clustering and marker-based cell type assignment strategies allowed to define a broad range of immune and stromal subclasses showing distinctive expression signatures reflecting variegated functional roles. By cross-matching the tumor data with normal brain expression atlases, we could further refine the annotation of the newly identified stromal functional subpopulations and define the “tumor-associated” marker signatures of genes exclusively enriched in stromal cells within the TME, linked to immune activation, cell adhesion and cytokine regulation pathways. Bulk transcriptomic data of human tumors and matching patient-derived xenografts (PDXs) showed that a group of secreted stromal factors acting as regulators of tumorigenic mechanisms, such as IGF2 and COL4A1, are lost after xenografting and replaced by the host murine microenvironment, suggesting that tumor cells are involved in paracrine and bivalent crosstalk with TME cells, impacting on tumor cell growth and progression. Finally, bulk deconvolution and cell-cell communication analysis were exploited to define, respectively, the stromal cell proportions and the key factors involved in the tumor-TME crosstalk; this latter can be considered as possible targets for tailored and more specific anti-tumor therapeutic strategies.

Simple Summary The major obstacle for the long-term success of targeted therapies in melanoma is the occurrence of resistance. Here, we present a new mechanism of targeted therapy resistance in melanoma where the treatment with the BRAF inhibitor vemurafenib causes an increased activation of HER3 via shed ligands. This is followed by an activation of STAT3 via HER3 and results in the expression of the STAT3 target gene SOX2. Pharmacological inhibition of HERs sensitizes melanoma cells toward vemurafenib treatment. Thus, blocking HER family members and especially HER3 in addition to targeted therapy treatment might prevent the occurrence of resistance. Abstract Melanoma is an aggressive form of skin cancer that is often characterized by activating mutations in the Mitogen-Activated Protein (MAP) kinase pathway, causing hyperproliferation of the cancer cells. Thus, inhibitors targeting this pathway were developed. These inhibitors are initially very effective, but the occurrence of resistance eventually leads to a failure of the therapy and is the major obstacle for clinical success. Therefore, investigating the mechanisms causing resistance and discovering ways to overcome them is essential for the success of therapy. Here, we observed that treatment of melanoma cells with the B-Raf Proto-Oncogene, Serine/Threonine Kinase (BRAF) inhibitor vemurafenib caused an increased cell surface expression and activation of human epidermal growth factor receptor 3 (HER3) by shed ligands. HER3 promoted the activation of signal transducer and activator of transcription 3 (STAT3) resulting in upregulation of the STAT3 target gene SRY-Box Transcription Factor 2 (SOX2) and survival of the cancer cells. Pharmacological blocking of HER led to a diminished STAT3 activation and increased sensitivity toward vemurafenib. Moreover, HER blocking sensitized vemurafenib-resistant cells to drug treatment. We conclude that the inhibition of the STAT3 upstream regulator HER might help to overcome melanoma therapy resistance toward targeted therapies.

Melanoma is often characterized by a constitutively active RAS-RAF-MEK-ERK pathway. For targeted therapy, BRAF inhibitors are available that are powerful in the beginning but resistance occurs rather fast. A better understanding of the mechanisms of resistance is urgently needed to increase the success of the treatment. Here, we observed that SOX2 and CD24 are upregulated upon BRAF inhibitor treatment. A similar upregulation was seen in targeted therapy-resistant, melanoma-derived induced pluripotent cancer cells (iPCCs). SOX2 and CD24 are known to promote an undifferentiated and cancer stem cell-like phenotype associated with resistance. We, therefore, elucidated the role of SOX2 and CD24 in targeted therapy resistance in more detail. We found that the upregulation of SOX2 and CD24 required activation of STAT3 and that SOX2 induced the expression of CD24 by binding to its promoter. We find that the overexpression of SOX2 or CD24 significantly increases the resistance toward BRAF inhibitors, while SOX2 knock-down rendered cells more sensitivity toward treatment. The overexpression of CD24 or SOX2 induced Src and STAT3 activity. Importantly, by either CD24 knock-down or Src/STAT3 inhibition in resistant SOX2-overexpressing cells, the sensitivity toward BRAF inhibitors was re-established. Hence, we suggest a novel mechanism of adaptive resistance whereby BRAF inhibition is circumvented via the activation of STAT3, SOX2 and CD24. Thus, to prevent adaptive resistance, it might be beneficial to combine Src/STAT3 inhibitors together with MAPK pathway inhibitors.

Melanoma is often characterized by a constitutively active RAS-RAF-MEK-ERK pathway. For targeted therapy, BRAF inhibitors are available that are powerful in the beginning but resistance occurs rather fast. A better understanding of the mechanisms of resistance is urgently needed to increase the success of the treatment. Here, we observed that SOX2 and CD24 are upregulated upon BRAF inhibitor treatment. A similar upregulation was seen in targeted therapy-resistant, melanoma-derived induced pluripotent cancer cells (iPCCs). SOX2 and CD24 are known to promote an undifferentiated and cancer stem cell-like phenotype associated with resistance. We, therefore, elucidated the role of SOX2 and CD24 in targeted therapy resistance in more detail. We found that the upregulation of SOX2 and CD24 required activation of STAT3 and that SOX2 induced the expression of CD24 by binding to its promoter. We find that the overexpression of SOX2 or CD24 significantly increases the resistance toward BRAF inhibitors, while SOX2 knock-down rendered cells more sensitivity toward treatment. The overexpression of CD24 or SOX2 induced Src and STAT3 activity. Importantly, by either CD24 knock-down or Src/STAT3 inhibition in resistant SOX2-overexpressing cells, the sensitivity toward BRAF inhibitors was re-established. Hence, we suggest a novel mechanism of adaptive resistance whereby BRAF inhibition is circumvented via the activation of STAT3, SOX2 and CD24. Thus, to prevent adaptive resistance, it might be beneficial to combine Src/STAT3 inhibitors together with MAPK pathway inhibitors.

During melanoma progression, tumor cells undergo phenotypic switching, increasing melanoma plasticity and resistance to mitogen-activated protein kinase inhibitors (MAPKi). We propose a partial reprogramming model to target melanoma therapy resistance. Here we show that partially reprogrammed cells are a less proliferative and more dedifferentiated cell population, expressing a gene signature for stemness and suppressing melanocyte-specific markers. To investigate the development of resistance to MAPKi, cells were exposed to BRAF and MEK inhibitors. Partially reprogrammed cells become less sensitive to MAPKi, showing increased cell viability and decreased apoptosis. Based on genome expression data, we evaluated potential targets to restore sensitivity to MAPKi in partially reprogrammed cells. One of our candidates showed promising results by increasing apoptosis and differentiation after sequential treatment with BRAF and MEK inhibitors, in partially reprogrammed cells and human BRAFi-resistant cells. In summary, we show that partial reprogramming of melanoma cells is a feasible in vitro model to study resistance to MAPKi. Moreover, we suggest our candidate as a target to restore sensitivity of resistant cells to MAPKi which has significant clinical implications in the development of resistance to current treatments against melanoma. Citation Format: Karol Granados, Laura Hüser, Aniello Federico, Sachindra Sachindra, Gretchen Wolff, Viktor Umansky, Jochen Utikal. Partial reprogramming of melanoma cells confers drug resistance and increased vulnerability to channel antagonists [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 1274.

Histone modifications play a significant role in the development and progression of various cancers. The histone methyltransferase SETDB1 (SET domain, bifurcated 1) catalyzes the addition of methyl groups to histone H3 at lysine 9 (H3K9). In the present study, we demonstrate that SETDB1 contributes to melanoma tumorigenesis. We show SETDB1 to be highly amplified in melanoma tissues of patients with poor prognosis. The amplification of SETDB1 correlates with the increased expression of the protein. Functional studies show an increased SETDB1 expression to be associated with a more proliferative, invasive and migratory phenotype and give rise to larger tumor masses in xenograft mouse models. In human primary melanomas, SETDB1 expression is elevated at the invasive borders. The activity of SETDB1 can be blocked by small molecules, which leads to reduced cell growth even in melanoma cell lines that are resistant towards BRAF and MEK inhibitors. In conclusion, our findings support SETDB1 as a major driver of melanoma development and progression. We therefore suggest SETB1 as a potential future target for the treatment of melanoma. Citation Format: Elias Orouji, Aniello Federico, Lionel Larribere, Daniel Novak, Jochen Utikal. The histone methyltransferase SETDB1 contributes to melanoma tumorigenesis [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2017 Oct 26-30; Philadelphia, PA. Philadelphia (PA): AACR; Mol Cancer Ther 2018;17(1 Suppl):Abstract nr A180.