Integrative Genomic Analyses Identify LncRNA Regulatory Networks across Pediatric Leukemias and Solid Tumors

Long noncoding RNAs (lncRNA) play an important role in gene regulation and contribute to tumorigenesis. While pan-cancer studies of lncRNA expression have been performed for adult malignancies, the lncRNA landscape across pediatric cancers remains largely uncharted. Here, we curated RNA sequencing data for 1,044 pediatric leukemia and extracranial solid tumors and integrated paired tumor whole genome sequencing and epigenetic data in relevant cell line models to explore lncRNA expression, regulation, and association with cancer. A total of 2,657 lncRNAs were robustly expressed across six pediatric cancers, including 1,142 exhibiting histotype-elevated expression. DNA copy number alterations contributed to lncRNA dysregulation at a proportion comparable to protein coding genes. Application of a multidimensional framework to identify and prioritize lncRNAs impacting gene networks revealed that lncRNAs dysregulated in pediatric cancer are associated with proliferation, metabolism, and DNA damage hallmarks. Analysis of upstream regulation via cell type-specific transcription factors further implicated distinct histotype-elevated and developmental lncRNAs. Integration of these analyses prioritized lncRNAs for experimental validation, and silencing of TBX2-AS1, the top-prioritized neuroblastoma-specific lncRNA, resulted in significant growth inhibition of neuroblastoma cells, confirming the computational predictions. Taken together, these data provide a comprehensive characterization of lncRNA regulation and function in pediatric cancers and pave the way for future mechanistic studies.

SIGNIFICANCE

Comprehensive characterization of lncRNAs in pediatric cancer leads to the identification of highly expressed lncRNAs across childhood cancers, annotation of lncRNAs showing histotype-specific elevated expression, and prediction of lncRNA gene regulatory networks.

The Childhood Cancer Data Initiative: Using the Power of Data to Learn From and Improve Outcomes for Every Child and Young Adult With Pediatric Cancer

Data-driven basic, translational, and clinical research has resulted in improved outcomes for children, adolescents, and young adults (AYAs) with pediatric cancers. However, challenges in sharing data between institutions, particularly in research, prevent addressing substantial unmet needs in children and AYA patients diagnosed with certain pediatric cancers. Systematically collecting and sharing data from every child and AYA can enable greater understanding of pediatric cancers, improve survivorship, and accelerate development of new and more effective therapies. To accomplish this goal, the Childhood Cancer Data Initiative (CCDI) was launched in 2019 at the National Cancer Institute. CCDI is a collaborative community endeavor supported by a 10-year, $50-million (in US dollars) annual federal investment. CCDI aims to learn from every patient diagnosed with a pediatric cancer by designing and building a data ecosystem that facilitates data collection, sharing, and analysis for researchers, clinicians, and patients across the cancer community. For example, CCDI's Molecular Characterization Initiative provides comprehensive clinical molecular characterization for children and AYAs with newly diagnosed cancers. Through these efforts, the CCDI strives to provide clinical benefit to patients and improvements in diagnosis and care through data-focused research support and to build expandable, sustainable data resources and workflows to advance research well past the planned 10 years of the initiative. Importantly, if CCDI demonstrates the success of this model for pediatric cancers, similar approaches can be applied to adults, transforming both clinical research and treatment to improve outcomes for all patients with cancer.

The Role of FAS Receptor Methylation in Osteosarcoma Metastasis

Osteosarcoma is the most frequent primary malignant bone tumor with an annual incidence of about 400 cases in the United States. Osteosarcoma primarily metastasizes to the lungs, where FAS ligand (FASL) is constitutively expressed. The interaction of FASL and its cell surface receptor, FAS, triggers apoptosis in normal cells; however, this function is altered in cancer cells. DNA methylation has previously been explored as a mechanism for altering FAS expression, but no variability was identified in the CpG island (CGI) overlapping the promoter. Analysis of an expanded region, including CGI shores and shelves, revealed high variability in the methylation of certain CpG sites that correlated significantly with FAS mRNA expression in a negative manner. Bisulfite sequencing revealed additional CpG sites, which were highly methylated in the metastatic LM7 cell line but unmethylated in its parental non-metastatic SaOS-2 cell line. Treatment with the demethylating agent, 5-azacytidine, resulted in a loss of methylation in CpG sites located within the FAS promoter and restored FAS protein expression in LM7 cells, resulting in reduced migration. Orthotopic implantation of 5-azacytidine treated LM7 cells into severe combined immunodeficient mice led to decreased lung metastases. These results suggest that DNA methylation of CGI shore sites may regulate FAS expression and constitute a potential target for osteosarcoma therapy, utilizing demethylating agents currently approved for the treatment of other cancers.

Abstract 3890: Sequencing of 888 pediatric solid tumors informs precision oncology trial design and data sharing initiatives in pediatric cancer

Pediatric pan-cancer genome analyses do not capture the full range of diagnoses encountered in clinical practice. To inform basket trial design and real-world precision oncology practice, we classified diagnoses and assessed the landscape of mutations, including trial-matching, in an unselected cohort of pediatric solid tumors.

Since 2013 all Dana-Farber/Boston Children’s patients have been offered participation in the Profile study. Participant tumor samples were sequenced with DFCI-OncoPanel, a targeted panel test sequencing exons of up to 447 cancer genes for single nucleotide variants, insertions and deletions and copy number alterations, and introns and exons of up to 60 genes for rearrangements. Patient diagnosis was classified according to ICD-O, version 3.2. Genomic alterations were analyzed for matching to the actionable mutation lists of precision oncology basket trials (NCI-COG Pediatric MATCH, NCI-MATCH, and the ASCO TAPUR Study v.3). Data will be shared with the Childhood Cancer Data Initiative.

There were 888 pediatric patients with sequencing enrolled in Profile between January 2013 and March 2019; 512 (58%) with solid tumors and 376 (42%) with CNS tumors. Fifty-five percent (491/888) of patients had one of ten common pediatric cancer diagnoses: neuroblastoma (n=80), low-grade glioma (n=72), Wilms tumor (n=57), medulloblastoma (n=55), pilocytic astrocytoma (n=47), rhabdomyosarcoma (n=44), osteosarcoma (n=42), ependymoma (n=39), Ewing sarcoma (n=28) and glioblastoma (n=27). The remaining 45% (397/888) had one of 85 distinct rare malignancies with less than 25 cases per diagnosis. Most (80/85) of these rare diagnoses are not represented in prior pediatric pan-cancer sequencing studies. Recurrent (>5%) pathogenic alterations were, in common and rare diagnoses, TP53 mutations(m) and deletions(del) and BRAFm and rearrangements(r), in common diagnoses, MYC/MYCN amplification (amp) and EWSR1r and, in rare diagnoses, CTNNB1m, CDKN2A/Bdel and NF1m/del. We found that 31% (n=271/888) of patients had at least 1 variant matching a basket trial treatment arm. Genes with matching alterations include BRAF (10%), NF1 (4%), PI3KCA (3%), NRAS (2%), BRCA2 (2%), ALK (1%), and FGFR1 (1%).

Sequencing of pediatric malignancies is increasing. This study highlights opportunities to use the resulting genomic data to inform genome-selected clinical trial design and uncover drivers in pediatric cancers. The proportion of cases in this cohort with genomic alterations meeting eligibility for basket trials is equivalent to that seen in the pediatric MATCH screening study. Due to the low prevalence of the diagnoses in the long tail of cancer types in this study, defining the genomic landscape of ultra-rare cancers will require data sharing. Classifying pediatric cancer diagnoses using the ICD-O standard ontology system is feasible and will facilitate data sharing.

Citation Format: Suzanne J. Forrest, Hersh Gupta, Abigail Ward, Yvonne Li, Duong Doan, Alyaa Al-Ibraheemi, Sanda Alexandrescu, Pratiti Bandopadhayay, Suzanne Shusterman, Elizabeth A. Mullen, Natalie Collins, Susan N. Chi, Karen D. Wright, Priti Kumari, Tali Mazor, Keith L. Ligon, Priyanka Shivdasani, Phani Davineni, Monica Manam, Richard L. Schilsky, Suanna S. Bruinooge, Jaime M. Guidry Auvil, Ethan Cerami, Barrett J. Rollins, Matthew L. Meyerson, Neal I. Lindeman, Laura MacConaill, Bruce E. Johnson, Andrew D. Cherniack, Alanna J. Church, Katherine A. Janeway. Sequencing of 888 pediatric solid tumors informs precision oncology trial design and data sharing initiatives in pediatric cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3890.

The Data Use Ontology to streamline responsible access to human biomedical datasets

Human biomedical datasets that are critical for research and clinical studies to benefit human health also often contain sensitive or potentially identifying information of individual participants. Thus, care must be taken when they are processed and made available to comply with ethical and regulatory frameworks and informed consent data conditions. To enable and streamline data access for these biomedical datasets, the Global Alliance for Genomics and Health (GA4GH) Data Use and Researcher Identities (DURI) work stream developed and approved the Data Use Ontology (DUO) standard. DUO is a hierarchical vocabulary of human and machine-readable data use terms that consistently and unambiguously represents a dataset's allowable data uses. DUO has been implemented by major international stakeholders such as the Broad and Sanger Institutes and is currently used in annotation of over 200,000 datasets worldwide. Using DUO in data management and access facilitates researchers' discovery and access of relevant datasets. DUO annotations increase the FAIRness of datasets and support data linkages using common data use profiles when integrating the data for secondary analyses. DUO is implemented in the Web Ontology Language (OWL) and, to increase community awareness and engagement, hosted in an open, centralized GitHub repository. DUO, together with the GA4GH Passport standard, offers a new, efficient, and streamlined data authorization and access framework that has enabled increased sharing of biomedical datasets worldwide.

GA4GH: International policies and standards for data sharing across genomic research and healthcare

The Global Alliance for Genomics and Health (GA4GH) aims to accelerate biomedical advances by enabling the responsible sharing of clinical and genomic data through both harmonized data aggregation and federated approaches. The decreasing cost of genomic sequencing (along with other genome-wide molecular assays) and increasing evidence of its clinical utility will soon drive the generation of sequence data from tens of millions of humans, with increasing levels of diversity. In this perspective, we present the GA4GH strategies for addressing the major challenges of this data revolution. We describe the GA4GH organization, which is fueled by the development efforts of eight Work Streams and informed by the needs of 24 Driver Projects and other key stakeholders. We present the GA4GH suite of secure, interoperable technical standards and policy frameworks and review the current status of standards, their relevance to key domains of research and clinical care, and future plans of GA4GH. Broad international participation in building, adopting, and deploying GA4GH standards and frameworks will catalyze an unprecedented effort in data sharing that will be critical to advancing genomic medicine and ensuring that all populations can access its benefits.

GA4GH Passport standard for digital identity and access permissions

The Global Alliance for Genomics and Health (GA4GH) supports international standards that enable a federated data sharing model for the research community while respecting data security, ethical and regulatory frameworks, and data authorization and access processes for sensitive data. The GA4GH Passport standard (Passport) defines a machine-readable digital identity that conveys roles and data access permissions (called "visas") for individual users. Visas are issued by data stewards, including data access committees (DACs) working with public databases, the entities responsible for the quality, integrity, and access arrangements for the datasets in the management of human biomedical data. Passports streamline management of data access rights across data systems by using visas that present a data user's digital identity and permissions across organizations, tools, environments, and services. We describe real-world implementations of the GA4GH Passport standard in use cases from ELIXIR Europe, National Institutes of Health, and the Autism Sharing Initiative. These implementations demonstrate that the Passport standard has provided transparent mechanisms for establishing permissions and authorizing data access across platforms.

Cancer Informatics for Cancer Centers: Scientific Drivers for Informatics, Data Science, and Care in Pediatric, Adolescent, and Young Adult Cancer

Cancer Informatics for Cancer Centers (CI4CC) is a grassroots, nonprofit 501c3 organization intended to provide a focused national forum for engagement of senior cancer informatics leaders, primarily aimed at academic cancer centers anywhere in the world but with a special emphasis on the 70 National Cancer Institute-funded cancer centers. This consortium has regularly held topic-focused biannual face-to-face symposiums. These meetings are a place to review cancer informatics and data science priorities and initiatives, providing a forum for discussion of the strategic and pragmatic issues that we faced at our respective institutions and cancer centers. Here, we provide meeting highlights from the latest CI4CC Symposium, which was delayed from its original April 2020 schedule because of the COVID-19 pandemic and held virtually over three days (September 24, October 1, and October 8) in the fall of 2020. In addition to the content presented, we found that holding this event virtually once a week for 6 hours was a great way to keep the kind of deep engagement that a face-to-face meeting engenders. This is the second such publication of CI4CC Symposium highlights, the first covering the meeting that took place in Napa, California, from October 14-16, 2019. We conclude with some thoughts about using data science to learn from every child with cancer, focusing on emerging activities of the National Cancer Institute's Childhood Cancer Data Initiative.

Abstract 3028: Integrative genomics reveals lncRNAs associated with pediatric cancer

Background: Long non-coding RNAs (lncRNAs) have emerged as key components of transcriptional and post-transcriptional gene regulation. Dysregulation of lncRNA expression has been widely observed in cancer and several lncRNAs are known to influence tumor initiation and progression. Despite this, the lncRNA landscape and regulatory networks across pediatric cancers remain relatively uncharted.

Methods: To characterize the lncRNA landscape of pediatric cancers, we first curated RNA sequencing data for 1,044 pediatric leukemia and solid tumors from the Therapeutically Applicable Research To Generate Effective Treatments (TARGET) project to identify known and novel expressed lncRNAs. This data set included: 280 acute myeloid leukemia (AML), 190 acute B-cell leukemia (B-ALL), 244 acute T-cell leukemia (T-ALL), 121 Wilm's tumor (WT), 48 rhabdoid tumors (RT), and 161 neuroblastoma (NBL). Histotype-specific expression was assessed using the tau score. Whole genome sequencing (WGS) from 826 matched normal-tumor pairs was integrated to identify somatic copy number alterations (SCNAs) disrupting lncRNA expression. To further implicate cancer-relevant drivers of lncRNA expression, we used a unique combination of epigenetic data in pediatric cell lines, including ChIP-sequencing for cancer-specific transcription factors and genome-scale chromatin capture data. A global analysis of lncRNA function was performed using the lncMod method, in which expression data is modelled to identify lncRNA modulators that perturb transcription factor regulation of target genes. Functional prioritization of lncRNAs was obtained through integration of analyses per cancer. Biochemical assays in human-derived cell line models were utilized to validate the function of the top prioritized lncRNA in NBL.

Results: We report a total of 2,657 robustly expressed lncRNAs across six pediatric cancers, including 1,142 lncRNAs exhibiting histotype-specific expression. SCNAs contributed to lncRNA dysregulation at a proportion comparable to protein coding genes. There were 207 (28%) lncRNAs in regions with SCNA that had significant expression dysregulation. LncMod analysis across the cancers revealed context-specific transcriptional gene networks per dysregulated lncRNA and enrichment for proliferation, metabolic, and DNA damage hallmarks. We further identified 547 cancer-associated lncRNAs in NBL based on upstream regulation via oncogenic transcription factors. The top-prioritized lncRNA, TBX2-AS1, was predicted to impact proliferation in NBL. Silencing of TBX2-AS1 using siRNAs achieved >90% knockdown in NBL cells and resulted in 46.6% decreased cell growth (p = 8.1 x 10-4).

Conclusion: This study defines the lncRNA landscape across six pediatric cancers and provides a detailed catalog of how lncRNAs impact regulatory gene networks. These data serve as a robust resource for future hypothesis-driven mechanistic studies.

Citation Format: Apexa Modi, Gonzalo Lopez, Karina L. Conkrite, Tsz Ching Leung, Sathvik Ramanan, Daphne Cheung, Chun Su, Matthew E. Johnson, Elisabetta Manduchi, Samantha Gadd, Jinghui Zhang, Malcolm A. Smith, Jaime M. Guidry Auvil, Daniela S. Gerhard, Soheil Meshinchi, Elizabeth J. Perlman, Stephen P. Hunger, John M. Maris, Andrew D. Wells, Struan F. Grant, Sharon J. Diskin. Integrative genomics reveals lncRNAs associated with pediatric cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 3028.

Abstract LB-307: Translational and mechanistic implications of osteosarcoma genomics: A TARGET report

Osteosarcoma (OS) is the most common malignant bone tumor of children and young adults. Although the optimization of combination chemotherapy has led to significantly improved prognosis, survival remains poor for patients with recurrent tumor or metastatic disease at diagnosis. The international TARGET (Therapeutically Applicable Research to Generate Effective Therapy) OS project team collected 285 clinically annotated samples (age <40 years) for integrative genomics analyses. Eighty-nine cases, the discovery set, were characterized with paired tumor and normal DNA sequencing as well as profiling of transcriptomes, DNA methylation, and miRNA. An additional 196 validation cases were used for copy number analysis and targeted DNA sequencing guided by results from the discovery set. The most frequent recurrent somatic mutations cause loss of function in the tumor suppressors TP53, RB1, CDKN2A, PTEN, and NF1 as well as the chromatin remodeler ATRX. Structural rearrangements are an important mechanism of inactivation for all of these genes. In the discovery set, every case carried at least one mutation of a cell cycle regulator, with TP53 somatically altered in 87/89 cases. Analysis of TP53 mutations suggests that these are often truncal. OS genomes are strikingly complex and contain copy number aberrations (CNA) arising from aneuploidy and extensive structural rearrangements. Transcriptome analysis revealed profound remodeling of gene expression with statistically significant correlation of CNA and gene expression of 3340 genes (FDR<0.001). Regions of high copy number amplification include known therapeutically relevant cancer drivers (e.g. PDGFRA, MYC, CDK4, MDM2, IGF1R, and CCNE1). In contrast, activating mutations of signal transduction genes were rare. With few exceptions (e.g. MYC amplification), mutations or CNA of individual genes were not predictive of outcome. The pattern of significant co-occurrence or mutual exclusion of frequent mutations and amplifications allowed partitioning of 240 cases into four distinct genomic groups. One of these, characterized by relatively simple genomes lacking high copy number amplification, had a more favorable outcome. Unsupervised transcriptome analysis by NMF separated the discovery set into two groups with significantly different outcomes. A pathway-based approach identified a high-risk bone differentiation signature comprised of genes highly correlated with the expression of the osteogenic transcription factors. NMF analysis of DNA methylation and miRNA data also partitioned the discovery set into two groups with the methylation groups significantly correlated with clinical outcome. Our results provide a detailed picture of the genomic complexity and heterogeneity of these tumors that suggests a model wherein most OS are initiated by TP53 loss in a proliferative cell of the osteoblast lineage. TP53 deficiency leads directly to impairment of cell cycle control, DNA repair, and terminal differentiation, a state permissive for the development of secondary CNA and epigenetic changes. The TARGET OS data are publicly available (phs000218) and of immediate relevance to future investigations of the molecular mechanisms driving osteosarcoma. Findings suggest a path forward to improved assessment of risk for individual patients and support a precision medicine approach to future clinical trial development.

Citation Format: Paul S. Meltzer, Sean Davis, Jack Zhu, Yonghong Wang, Sven Bilke, Joshua Waterfall, Robert Walker, Marbin Pineda, Yuan Jiang, Sharon Savage, Lisa Mirabello, Tsz-Kwong Man, Aaron Taylor, Monika J. Sun, Jay Wunder, Irene Andrulis, Nalan Gokgoz, Shintaro Iwata, Miki Ohira, Mark Krailo, Don Barkauskas, Lisa Teot, Timothy Triche, Silvia de Toledo, Antonio S. Petrilli, Jaime M. Guidry Auvil, Richard Gorlick, Malcolm A. Smith, Daniela Gerhard, Ching C. Lau. Translational and mechanistic implications of osteosarcoma genomics: A TARGET report [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr LB-307.

Abstract 3369: NCI’s Office of Data Sharing: Promoting broad & equitable policies and processes to improve cancer care

Data sharing increases our understanding of factors that influence health and diseases by enabling additional research questions from secondary data users, improving statistical power through combining multiple data sources, facilitating reproducibility and validation of research results, and supporting innovation with the development of research tools and methodologies.

The NCI recently established an Office of Data Sharing (ODS), whose goal is to promote broad and equitable data sharing policies and processes to improve cancer knowledge and care. ODS advocates for open-access and broad data sharing policies to enable reproducibility, secondary use, knowledge sharing and innovation. ODS key priorities include: 1) coordinating the interpretation and implementation of the NCI and NIH Data-Sharing policies across the NCI, 2) streamlining data-access and -submission processes for NCI- and/or NIH-supported data repositories, 3) advocating for the proper balance of open-access, open-source, open-data-sharing policies while respecting the needs of research and participant communities.

The NIH and NCI Data Sharing policies facilitate scientific progress by encouraging data access and sharing of genomic, phenotype, environmental, and behavioral data. Data access and sharing management, stewardship, and operating procedures are coordinated through a NIH governance structure of senior leadership and staff across NIH Institutes/Centers (ICs). NIH Data Access Committees (DACs) ensure data access based on shared principles and procedural standards of data management, security, privacy, and research participant protections.

In efforts to improve data access efficiency, the ODS consolidated The Cancer Genome Atlas, intramural and extramural NCI DACs into a centralized operation, the NCI DAC. In comparison to other ICs, the NCI DAC receives the largest volume of data access requests (DARs) for access to controlled-tier level data. Specifically, the NCI DAC received 9214 DARs in 2017, representing 30% of all DARs received by NIH with a mean review time of 53 days, in comparison to the combined average of 35 days for all other NIH DACs. The NCI DAC oversees 216 studies registered in dbGaP, with 93 general research use (GRU) and 22 health, medical, biomedical (HMB) consent groups that allow data to be used for broader research uses. The centralized NCI DAC implemented data access review procedures for all DARs and expedited processes for projects requesting access to datasets with GRU and HMB data use limitations. These expedited procedures have produced a 26.5-fold decrease in time-to-decision from 53 to 2 days for researchers requesting access to NCI datasets.

Additionally, ODS is committed to addressing health disparities ethics and is developing an Ethical, Economic, Legal, and Social Implications program that will address policies, practices, and ethical issues that arise from data sharing.

Citation Format: Freddie L. Pruitt, Sylvia Shabaya Gayle, Nina Ghanem, Anna V. Mencarelli, Anthony R. Kerlavage, Vivian Ota Wang, Jaime M. Guidry Auvil. NCI’s Office of Data Sharing: Promoting broad & equitable policies and processes to improve cancer care [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 3369.

Clinically Relevant Cytotoxic Immune Cell Signatures and Clonal Expansion of T-Cell Receptors in High-Risk MYCN-Not-Amplified Human Neuroblastoma

Purpose: High-risk neuroblastoma is an aggressive disease. DNA sequencing studies have revealed a paucity of actionable genomic alterations and a low mutation burden, posing challenges to develop effective novel therapies. We used RNA sequencing (RNA-seq) to investigate the biology of this disease, including a focus on tumor-infiltrating lymphocytes (TIL).Experimental Design: We performed deep RNA-seq on pretreatment diagnostic tumors from 129 high-risk and 21 low- or intermediate-risk patients with neuroblastomas. We used single-sample gene set enrichment analysis to detect gene expression signatures of TILs in tumors and examined their association with clinical and molecular parameters, including patient outcome. The expression profiles of 190 additional pretreatment diagnostic neuroblastomas, a neuroblastoma tissue microarray, and T-cell receptor (TCR) sequencing were used to validate our findings.Results: We found that MYCN-not-amplified (MYCN-NA) tumors had significantly higher cytotoxic TIL signatures compared with MYCN-amplified (MYCN-A) tumors. A reported MYCN activation signature was significantly associated with poor outcome for high-risk patients with MYCN-NA tumors; however, a subgroup of these patients who had elevated activated natural killer (NK) cells, CD8+ T cells, and cytolytic signatures showed improved outcome and expansion of infiltrating TCR clones. Furthermore, we observed upregulation of immune exhaustion marker genes, indicating an immune-suppressive microenvironment in these neuroblastomas.Conclusions: This study provides evidence that RNA signatures of cytotoxic TIL are associated with the presence of activated NK/T cells and improved outcomes in high-risk neuroblastoma patients harboring MYCN-NA tumors. Our findings suggest that these high-risk patients with MYCN-NA neuroblastoma may benefit from additional immunotherapies incorporated into the current therapeutic strategies. Clin Cancer Res; 24(22); 5673-84. ©2018 AACR.

The genetic basis and cell of origin of mixed phenotype acute leukaemia

Mixed phenotype acute leukaemia (MPAL) is a high-risk subtype of leukaemia with myeloid and lymphoid features, limited genetic characterization, and a lack of consensus regarding appropriate therapy. Here we show that the two principal subtypes of MPAL, T/myeloid (T/M) and B/myeloid (B/M), are genetically distinct. Rearrangement of ZNF384 is common in B/M MPAL, and biallelic WT1 alterations are common in T/M MPAL, which shares genomic features with early T-cell precursor acute lymphoblastic leukaemia. We show that the intratumoral immunophenotypic heterogeneity characteristic of MPAL is independent of somatic genetic variation, that founding lesions arise in primitive haematopoietic progenitors, and that individual phenotypic subpopulations can reconstitute the immunophenotypic diversity in vivo. These findings indicate that the cell of origin and founding lesions, rather than an accumulation of distinct genomic alterations, prime tumour cells for lineage promiscuity. Moreover, these findings position MPAL in the spectrum of immature leukaemias and provide a genetically informed framework for future clinical trials of potential treatments for MPAL.

Abstract 399: NCI Office of Cancer Genomics: Supporting structural and functional genomics and development of bioinformatic approaches to advance precision oncology

The National Cancer Institute's Office of Cancer Genomics (OCG) aims to advance the molecular understanding of cancer, with the goal of improving clinical outcomes. OCG supports large-scale cancer genomics and translational research programs that share data and resources with the research community, thereby accelerating discoveries into the clinic and contributing to precision oncology. The OCG initiatives promote: i) generation and dissemination of molecular and clinical data via programmatic databases and the Genomic Data Commons, ii) advances in bio- and chemi-informatic methodologies, and iii) creation of valuable experimental reagents, resources, models, and standard operating procedures.

OCG currently supports four innovative and collaborative programs which conjointly generate, analyze, and translate genomic and other datasets into biologically and clinically-relevant information for the scientific and medical communities. The Cancer Genome Characterization Initiative (CGCI) and the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) initiatives use comprehensive genomic, transcriptomic, and epigenomic approaches to analyze tumor and patient matched normal tissue samples with the goal of identifying therapeutic targets and biomarkers. CGCI characterizes both adult and pediatric cancers, including those prevalent in HIV-positive individuals, while TARGET focuses predominantly on high-risk cancers affecting children and young adults. The Cancer Target Discovery and Development (CTD2) Network advances cancer research by bridging the knowledge gap between cancer genomics and precision oncology for the development of effective combinatorial cancer treatments to minimize treatment resistance. The Network develops bioinformatics and analysis tools, generates diverse datasets, and further validates subsets of these data. The Human Cancer Models Initiative (HCMI) is an international consortium which will develop next generation patient-derived cancer models that are representative of the biology and complexity of human tumors. Models will be molecularly characterized and clinically annotated, and models along with the data will be available as a community resource.

Data, analytical tools, and resources generated by OCG programs are made available through the OCG website (https://ocg.cancer.gov/) to the research community to accelerate the discovery of efficient treatment strategies for cancer. This poster will include an overview of the programs and emphasize the usability and functionality of the OCG databases and resources. Presenters will also provide data access information and examples of past data use highlighting the benefit of the OCG programs to the scientific community.

Citation Format: Pamela C. Birriel, Caitlyn W. Barrett, Tanja M. Davidsen, Martin L. Ferguson, Patee Gesuwan, Nicholas B. Griner, Jaime M. Guidry Auvil, Yiwen He, Subhashini Jagu, Freddie L. Pruitt, Daniela S. Gerhard. NCI Office of Cancer Genomics: Supporting structural and functional genomics and development of bioinformatic approaches to advance precision oncology [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 399.

The molecular landscape of pediatric acute myeloid leukemia reveals recurrent structural alterations and age-specific mutational interactions

We present the molecular landscape of pediatric acute myeloid leukemia (AML) and characterize nearly 1,000 participants in Children's Oncology Group (COG) AML trials. The COG-National Cancer Institute (NCI) TARGET AML initiative assessed cases by whole-genome, targeted DNA, mRNA and microRNA sequencing and CpG methylation profiling. Validated DNA variants corresponded to diverse, infrequent mutations, with fewer than 40 genes mutated in >2% of cases. In contrast, somatic structural variants, including new gene fusions and focal deletions of MBNL1, ZEB2 and ELF1, were disproportionately prevalent in young individuals as compared to adults. Conversely, mutations in DNMT3A and TP53, which were common in adults, were conspicuously absent from virtually all pediatric cases. New mutations in GATA2, FLT3 and CBL and recurrent mutations in MYC-ITD, NRAS, KRAS and WT1 were frequent in pediatric AML. Deletions, mutations and promoter DNA hypermethylation convergently impacted Wnt signaling, Polycomb repression, innate immune cell interactions and a cluster of zinc finger-encoding genes associated with KMT2A rearrangements. These results highlight the need for and facilitate the development of age-tailored targeted therapies for the treatment of pediatric AML.

A Children's Oncology Group and TARGET initiative exploring the genetic landscape of Wilms tumor

Genome-wide sequencing, mRNA and miRNA expression, DNA copy number and methylation analyses were performed on 117 Wilms tumors, followed by targeted sequencing of 651 Wilms tumors. In addition to genes previously implicated in Wilms tumors (WT1, CTNNB1, FAM123B, DROSHA, DGCR8, XPO5, DICER1, SIX1, SIX2, MLLT1, MYCN, and TP53), mutations were identified in genes not previously recognized as recurrently involved in Wilms tumors, the most frequent being BCOR, BCORL1, NONO, MAX, COL6A3, ASXL1, MAP3K4, and ARID1A. DNA copy number changes resulted in recurrent 1q gain, MYCN amplification, LIN28B gain, and let-7a loss. Unexpected germline variants involved PALB2 and CHEK2. Integrated analyses support two major classes of genetic changes that preserve the progenitor state and/or interrupt normal development.

Significance of TP53 Mutation in Wilms Tumors with Diffuse Anaplasia: A Report from the Children's Oncology Group

PURPOSE

To investigate the role and significance of TP53 mutation in diffusely anaplastic Wilms tumors (DAWTs).

EXPERIMENTAL DESIGN

All DAWTs registered on National Wilms Tumor Study-5 (n = 118) with available samples were analyzed for TP53 mutations and copy loss. Integrative genomic analysis was performed on 39 selected DAWTs.

RESULTS

Following analysis of a single random sample, 57 DAWTs (48%) demonstrated TP53 mutations, 13 (11%) copy loss without mutation, and 48 (41%) lacked both [defined as TP53-wild-type (wt)]. Patients with stage III/IV TP53-wt DAWTs (but not those with stage I/II disease) had significantly lower relapse and death rates than those with TP53 abnormalities. In-depth analysis of a subset of 39 DAWTs showed seven (18%) to be TP53-wt: These demonstrated gene expression evidence of an active p53 pathway. Retrospective pathology review of TP53-wt DAWT revealed no or very low volume of anaplasia in six of seven tumors. When samples from TP53-wt tumors known to contain anaplasia histologically were available, abnormal p53 protein accumulation was observed by immunohistochemistry.

CONCLUSIONS

These data support the key role of TP53 loss in the development of anaplasia in WT, and support its significant clinical impact in patients with residual anaplastic tumor following surgery. These data also suggest that most DAWTs will show evidence of TP53 mutation when samples selected for the presence of anaplasia are analyzed. This suggests that modifications of the current criteria to also consider volume of anaplasia and documentation of TP53 aberrations may better reflect the risk of relapse and death and enable optimization of therapeutic stratification. Clin Cancer Res; 22(22); 5582-91. ©2016 AACR.

Abstract LB-180: The genetic landscape of Wilms tumor

Introduction: The National Cancer Institute's Therapeutically Applicable Research to Generate Effective Treatments (TARGET) initiative seeks to characterize the genomes of high-risk pediatric tumors to identify therapeutic targets. The High-Risk Renal Tumor TARGET initiative includes the analysis of pre-therapy favorable histology Wilms Tumors (FHWT) that relapsed and tumors with diffuse anaplasia (unfavorable histology; DAWT). These two tumor subsets have survival rates of approximately 50% and 60%, respectively.

Experimental procedures: Genomic sequencing (whole genome [WGS] or exome [WXS]), global copy number analysis, and global gene expression analysis were performed on a discovery set of 117 (78 FHWT, 39 DAWT) pre-therapy high-risk WTs treated on National Wilms Tumor Study-5 (NWTS-5). To determine the frequency of recurrent variants, targeted sequencing (Illumina HiSeq2500) was performed on a validation set of pre-therapy tumor DNA from a case-cohort of all FHWT treated on NWTS-5 (531 FHWT) and all available 118 DAWT treated on NWTS-5 (these groups include tumors from the discovery set).

Results: WGS and WXS revealed an average of 21.74 ± 22.6 high-quality variants per DAWT (range, 3-131) and 13.8 ± 10.9 per FHWT (range 2-58). Genes previously reported to be recurrently mutated in WT were mutated at the following frequencies in the validation set: WTX (6%), CTNNB1 (15%), WT1 (7.5%), DROSHA (11%), DGCR8 (4.5%), XPO5 (2%), SIX1/2 (7%), and MLLT1 (3%). In addition, mutations were identified in three genes that impact the NMYC pathway, which is known to be involved in renal development. These include MYCN P44L/H (4%), MAX R60Q (2%), and novel mutations in NONO (2%); these mutations were mutually exclusive. Novel mutations in BCOR, a transcriptional corepressor that regulates both gene expression during development and chromatin modification, were found in 3% of validation set tumors. Analysis of global gene expression revealed significant up-regulation of genes associated with kidney development, extracellular matrix organization, and epithelial tube development in BCOR-mutant tumors compared with precursor lesions (5 hyperplastic perilobar nephrogenic rests). TP53 mutations were identified in 48% of DAWTs and 1% of FHWTs. The above data do not include copy number changes, which were recurrently detected in WT1, WTX, NMYC, and TP53.

Conclusions: Through the TARGET initiative, we have identified several novel, potential driver mutations that occur in WT and have not been reported in other pediatric tumors. The majority of these genes are known to function in processes critical to early development and/or specifically in renal development. Many of these mutations are accompanied by Wnt activating mutations or 11p15 biallelic expression. However, approximately 50% of WTs lack clear driver mutations. Future studies will need to focus on elucidating epigenetic alterations in these tumors as well as genetic changes outside of protein-coding regions.

Citation Format: Samantha L. Gadd, Amy L. Walz, Ariadne HAG Ooms, Vicki Huff, Daniela S. Gerhard, Malcolm A. Smith, Jaime M. Guidry Auvil, Leandro Hermida, Tanja Davidsen, Patee Gesuwan, Daoud Meerzaman, Yussanne Ma, Marco A. Marra, Jeffrey S. Dome, Charles G. Mullighan, David A. Wheeler, Oliver A. Hampton, Julie M. Gastier-Foster, Nicole Ross, Elizabeth J. Perlman. The genetic landscape of Wilms tumor. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr LB-180.

Abstract 126: The transcriptome landscape of high-risk neuroblastoma

Despite the success of multimodal therapies, the mortality and morbidity remains substantial for patients with high-risk neuroblastoma (NBL). Sequencing of paired tumor/normal DNA of NBL has revealed a low somatic mutation burden and few recurrent somatically-mutated genes. Here we hypothesize that the integrated analysis of DNA sequencing with whole transcriptome sequencing (WTS) in patients with high-risk NBL tumor will yield valuable insights into the biology of this disease. We performed WTS of 139 NBLs (118 high-risk stage 4 and 21 stage 4S tumors) which had whole genome sequencing or whole exome sequencing of case-matched tumor/normal pairs through the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) initiative. We identified expressed mutations, fusion genes, and correlations between gene expression and clinical parameters of patients such as survival to provide understandings of high-risk NBL biology.

Out of 1500 protein-coding changing somatic nucleotide variants detected by DNA sequencing, 614 variants (41%) were also detected in the transcriptome. Twenty-four genes known to be recurrently mutated in NBL showed the exact mutations in their transcriptome as seen in the DNA, including ALK (9.4%), ATRX (2.2%) and MYCN (1.4%). Fusion gene analysis identified in-frame fusions involving ALK (n = 2) and FOXR1 genes (n = 4). All tumors positive for ALK- and FOXR1-fusions expressed transcripts containing ALK or FOXR1 sequences at much higher levels (>10 folds) than those without fusion in these respective genes. Consensus clustering using tumor gene expression profiles revealed 4 subgroups with distinct survival probability. Among them, several molecular signatures including MYC activation and tumor microenvironment were observed. Intriguingly, 58% tumors without MYCN-amplification showed a MYC activation signature significantly associated with worse overall survival (p = 0.0017). Further examination of these tumors with the MYC activation signature revealed different somatic alterations including MYCN P44L mutations, high expression of other MYC family members (MYC and MYCL), mutations in the RAS pathway, and FOXR1 fusions. Interestingly, a gene expression signature representing tumor-associated macrophages (TAM) and regulatory T-cells significantly correlated with a worse outcome in NBLs with normal MYCN copy number, similar to that seen in tumors with the MYC activation signature. In contrast, NBL patients with tumors showing a signature of cytotoxic T-cells and B-cells have better outcomes. Furthermore, tumors of the latter subgroup express significantly more somatic SNVs comparing to the other two subgroups of worse outcome with MYC activation or TAM signatures, suggesting that expressed neo-antigens may elevate cytotoxic T-cell response in these tumors. Our study suggests that patients with high-risk neuroblastoma may benefit from immune-based therapies including check point inhibitors in the future trials.

Citation Format: Jun S. Wei, Shile Zhang, Young K. Song, Shahab Asgharzadeh, Sivasish Sindiri, Xinyu Wen, Rajesh Patidar, Jaime M. Guidry Auvil, Daniela S. Gerhard, Robert Seeger, John M. Maris, Javed Khan. The transcriptome landscape of high-risk neuroblastoma. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 126.

Abstract 5293: NCI Office of Cancer Genomics: Generating publicly available data and resources for the advancement of precision medicine

The Office of Cancer Genomics (OCG), within the National Cancer Institute, supports cutting-edge genomics and translational research to advance the molecular understanding of cancer, with the ultimate goal of improving clinical outcomes through precision medicine. OCG-supported cancer research initiatives generate and analyze comprehensive genomics datasets, and translate these data into tools, resources, and clinically-relevant information. OCG currently supports three complimentary initiatives, each uniquely collaborative and innovative.

The Cancer Genome Characterization Initiative (CGCI) and the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) Initiative collect high quality, clinically annotated, tumor and normal matched tissue samples for both discovery and validation cohorts. These initiatives aim to identify therapeutic targets and biomarkers in some malignancies prevalent in HIV-positive individuals and high-risk pediatric cancers. Samples are analyzed by whole genome, whole exome, and transcriptome sequencing and datasets are available to the research community in ways that protect patient privacy.

The Cancer Target Discovery and Development (CTD⁁2) Network combines computational approaches, high-throughput functional assays, and high content small molecule and genetic screens to accelerate the translation of genomic data into discoveries that will inform patient-specific cancer treatments. The Network develops bioinformatics and analysis tools, generates diverse datasets, and further validates subsets of these data. All resources, datasets (https://ctd2.nci.nih.gov/dataPortal/), and validated results (http://ctd2-dashboard.nci.nih.gov/) are openly available to the research community.

Data, analytical tools, and resources generated by OCG initiatives are made publicly available and can be accessed through the OCG website (https://ocg.cancer.gov/). Investigators can use and analyze the data according to their research interests. In addition, datasets generated by OCG-supported programs can serve as valuable resources for those seeking to validate genomic findings. For this poster presentation we will present the most up-to-date information about what data and resources are available, and how to access them. The use of OCG datasets and resources by the research community will further the collaborative goal of enabling precision medicine in the clinic.

Citation Format: Nadia L. Jaber, Jessica N. Mazerik, Jaime M. Guidry Auvil, Subhashini Jagu, Nicholas Griner, Martin Ferguson, Daniela S. Gerhard. NCI Office of Cancer Genomics: Generating publicly available data and resources for the advancement of precision medicine. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 5293.

TCF21 hypermethylation in genetically quiescent clear cell sarcoma of the kidney

Clear Cell Sarcoma of the Kidney (CCSK) is a rare childhood tumor whose molecular pathogenesis remains poorly understood. We analyzed a discovery set of 13 CCSKs for changes in chromosome copy number, mutations, rearrangements, global gene expression and global DNA methylation. No recurrent segmental chromosomal copy number changes or somatic variants (single nucleotide or small insertion/deletion) were identified. One tumor with t(10;17)(q22;p13) involving fusion of YHWAE with NUTM2B was identified. Integrated analysis of expression and methylation data identified promoter hypermethylation and low expression of the tumor suppressor gene TCF21 (Pod-1/capsulin/epicardin) in all CCSKs except the case with t(10;17)(q22;p13). TARID, the long noncoding RNA responsible for demethylating TCF21, was virtually undetectable in most CCSKs. TCF21 hypermethylation and decreased TARID expression were validated in an independent set of CCSK tumor samples. The presence of significant hypermethylation of TCF21, a transcription factor known to be active early in renal development, supports the hypothesis that hypermethylation of TCF21 and/or decreased TARID expression lies within the pathogenic pathway of most CCSKs. Future studies are needed to functionally verify a tumorigenic role of TCF21 down-regulation and to tie this to the unique gene expression pattern of CCSK.

Genomic Profiling of Pediatric Acute Myeloid Leukemia Reveals a Changing Mutational Landscape from Disease Diagnosis to Relapse

The genomic and clinical information used to develop and implement therapeutic approaches for acute myelogenous leukemia (AML) originated primarily from adult patients and has been generalized to patients with pediatric AML. However, age-specific molecular alterations are becoming more evident and may signify the need to age-stratify treatment regimens. The NCI/COG TARGET-AML initiative used whole exome capture sequencing (WXS) to interrogate the genomic landscape of matched trios representing specimens collected upon diagnosis, remission, and relapse from 20 cases of de novo childhood AML. One hundred forty-five somatic variants at diagnosis (median 6 mutations/patient) and 149 variants at relapse (median 6.5 mutations) were identified and verified by orthogonal methodologies. Recurrent somatic variants [in (greater than or equal to) 2 patients] were identified for 10 genes (FLT3, NRAS, PTPN11, WT1, TET2, DHX15, DHX30, KIT, ETV6, KRAS), with variable persistence at relapse. The variant allele fraction (VAF), used to measure the prevalence of somatic mutations, varied widely at diagnosis. Mutations that persisted from diagnosis to relapse had a significantly higher diagnostic VAF compared with those that resolved at relapse (median VAF 0.43 vs. 0.24, P < 0.001). Further analysis revealed that 90% of the diagnostic variants with VAF >0.4 persisted to relapse compared with 28% with VAF <0.2 (P < 0.001). This study demonstrates significant variability in the mutational profile and clonal evolution of pediatric AML from diagnosis to relapse. Furthermore, mutations with high VAF at diagnosis, representing variants shared across a leukemic clonal structure, may constrain the genomic landscape at relapse and help to define key pathways for therapeutic targeting. Cancer Res; 76(8); 2197-205. ©2016 AACR.

Genetic predisposition to neuroblastoma mediated by a LMO1 super-enhancer polymorphism

Neuroblastoma is a paediatric malignancy that typically arises in early childhood, and is derived from the developing sympathetic nervous system. Clinical phenotypes range from localized tumours with excellent outcomes to widely metastatic disease in which long-term survival is approximately 40% despite intensive therapy. A previous genome-wide association study identified common polymorphisms at the LMO1 gene locus that are highly associated with neuroblastoma susceptibility and oncogenic addiction to LMO1 in the tumour cells. Here we investigate the causal DNA variant at this locus and the mechanism by which it leads to neuroblastoma tumorigenesis. We first imputed all possible genotypes across the LMO1 locus and then mapped highly associated single nucleotide polymorphism (SNPs) to areas of chromatin accessibility, evolutionary conservation and transcription factor binding sites. We show that SNP rs2168101 G>T is the most highly associated variant (combined P = 7.47 × 10(-29), odds ratio 0.65, 95% confidence interval 0.60-0.70), and resides in a super-enhancer defined by extensive acetylation of histone H3 lysine 27 within the first intron of LMO1. The ancestral G allele that is associated with tumour formation resides in a conserved GATA transcription factor binding motif. We show that the newly evolved protective TATA allele is associated with decreased total LMO1 expression (P = 0.028) in neuroblastoma primary tumours, and ablates GATA3 binding (P < 0.0001). We demonstrate allelic imbalance favouring the G-containing strand in tumours heterozygous for this SNP, as demonstrated both by RNA sequencing (P < 0.0001) and reporter assays (P = 0.002). These findings indicate that a recently evolved polymorphism within a super-enhancer element in the first intron of LMO1 influences neuroblastoma susceptibility through differential GATA transcription factor binding and direct modulation of LMO1 expression in cis, and this leads to an oncogenic dependency in tumour cells.

Recurrent DGCR8, DROSHA, and SIX homeodomain mutations in favorable histology Wilms tumors

We report the most common single-nucleotide substitution/deletion mutations in favorable histology Wilms tumors (FHWTs) to occur within SIX1/2 (7% of 534 tumors) and microRNA processing genes (miRNAPGs) DGCR8 and DROSHA (15% of 534 tumors). Comprehensive analysis of 77 FHWTs indicates that tumors with SIX1/2 and/or miRNAPG mutations show a pre-induction metanephric mesenchyme gene expression pattern and are significantly associated with both perilobar nephrogenic rests and 11p15 imprinting aberrations. Significantly decreased expression of mature Let-7a and the miR-200 family (responsible for mesenchymal-to-epithelial transition) in miRNAPG mutant tumors is associated with an undifferentiated blastemal histology. The combination of SIX and miRNAPG mutations in the same tumor is associated with evidence of RAS activation and a higher rate of relapse and death.

Cadherin-11 in poor prognosis malignancies and rheumatoid arthritis: common target, common therapies

Cadherin-11 (CDH11), associated with epithelial to mesenchymal transformation in development, poor prognosis malignancies and cancer stem cells, is also a major therapeutic target in rheumatoid arthritis (RA). CDH11 expressing basal-like breast carcinomas and other CDH11 expressing malignancies exhibit poor prognosis. We show that CDH11 is increased early in breast cancer and ductal carcinoma in-situ. CDH11 knockdown and antibodies effective in RA slowed the growth of basal-like breast tumors and decreased proliferation and colony formation of breast, glioblastoma and prostate cancer cells. The repurposed arthritis drug celecoxib, which binds to CDH11, and other small molecules designed to bind CDH11 without inhibiting COX-2 preferentially affect the growth of CDH11 positive cancer cells in vitro and in animals. These data suggest that CDH11 is important for malignant progression, and is a therapeutic target in arthritis and cancer with the potential for rapid clinical translation

Abstract 998: Rise and fall of subclones from diagnosis to relapse in pediatric B-acute lymphoblastic leukemia (B-ALL): A report from the children's oncology group (COG) - Target - St. Jude Pediatric Cancer Genome Project

Tumor clonal heterogeneity has been demonstrated in several cancers; however, the rise and fall of subclones under therapy have not been well characterized. To gain insight into the subclonal population architecture of pediatric B-ALL, we analyzed somatic lesions including sequence mutations, structural alterations and DNA copy number abnormalities derived from high coverage (200X) exome sequencing, whole-genome sequencing and SNP arrays of diagnosis (Dx)-remission-relapse DNA from 20 patients (median 7 yrs, range 2 to 19) treated on recent COG B-ALL trials. Cases were selected for analysis based upon occurrence of an early bone marrow relapse (median 19.2 months, range 3.8 to 35.7), which is associated with poor survival. We identified a high frequency of mutations in B-cell development (80%, e.g. PAX5, IKZF1, TCF3, BTG1, TOX, and EBF1 ), RAS signaling (65%, e.g. NRAS, KRAS, PTPN11 and FLT3), TP53 (60%, e.g. CDKN2A, TP53 and RB1), kinase signaling (25%, e.g. JAK2, CRLF2 and SH2B3) and chromatin remodeling (60%, e.g. WHSC1, MLL2, CREBBP, ARID2 and SETD2) pathways. Somatic lesions in these pathways were mostly retained (68%) between Dx and relapse. In contrast, mutations in the purine metabolism genes NT5C2 (45%) and NT5CB1 (15%) were relapse-specific. We constructed clonal lineage of somatic lesions for 15 cases based on subclonal population fractions estimated by a binomial mixture model that adjusts for sequence coverage of mutant alleles. The subclone number (median 3, range 1-5) at Dx was comparable to that at relapse (median=3, range 2-4). Notably, 6 Dx samples were observed with multiple subclones harboring distinct driver mutations in the same oncogene (e.g. NRAS, KRAS and JAK2). In almost all cases only one subclone from Dx arose to be the predominant clone present at relapse. Moreover, the mutation burden in an emergent subclone was comparable to those eradicated by therapy (P=0.43, Wilcoxon rank sum). In 80% of cases, the predominant clone at relapse originated from the smallest Dx subclone; in 45% of those cases, mutant allele present in relapse was detectable in remission DNA (∼0.1%) obtained at the end of the 1st month of therapy. Clonal lineage shows that the earliest acquired mutations at relapse are NT5C2 (n=5), NRAS (n=3), USH2A (n=3), WHSC1 (n=2), TP53 (n=2), IKZF1 (n=1) and CREBBP (n=1). Our study is the first that analyzes the genetic composition and population architecture of subclones that rise or fall after B-ALL therapy. The majority of the “rising” subclones are oligoclonal at Dx, which may explain acquisition of mutations such as those found in NT5C2 to confer growth advantage in relapse. Additional studies of patients who were cured of B-ALL are needed to determine if the presence of mutant clone at end induction might help to predict risk and tempo of relapse.

Citation Format: Xiaotu Ma, Mignon L. Loh, Michael Rusch, Michael Edmonson, Richard C. Harvey, David A. Wheeler, Oliver A. Hampton, John Easton, Donald Yergeau, Bhavin Vadodaria, Gang Wu, William L. Carroll, I-Ming Chen, Daniela S. Gerhard, Julie M. Gastier-Foster, Mary V. Relling, Malcolm A. Smith, Meenakshi Devidas, Jaime M. Guidry Auvil, James R. Downing, Cheryl L. Willman, Charles G. Mullighan, Stephen P. Hunger, Jinghui Zhang. Rise and fall of subclones from diagnosis to relapse in pediatric B-acute lymphoblastic leukemia (B-ALL): A report from the children's oncology group (COG) - Target - St. Jude Pediatric Cancer Genome Project. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 998. doi:10.1158/1538-7445.AM2014-998

Targetable kinase-activating lesions in Ph-like acute lymphoblastic leukemia

BACKGROUND

Philadelphia chromosome-like acute lymphoblastic leukemia (Ph-like ALL) is characterized by a gene-expression profile similar to that of BCR-ABL1-positive ALL, alterations of lymphoid transcription factor genes, and a poor outcome. The frequency and spectrum of genetic alterations in Ph-like ALL and its responsiveness to tyrosine kinase inhibition are undefined, especially in adolescents and adults.

METHODS

We performed genomic profiling of 1725 patients with precursor B-cell ALL and detailed genomic analysis of 154 patients with Ph-like ALL. We examined the functional effects of fusion proteins and the efficacy of tyrosine kinase inhibitors in mouse pre-B cells and xenografts of human Ph-like ALL.

RESULTS

Ph-like ALL increased in frequency from 10% among children with standard-risk ALL to 27% among young adults with ALL and was associated with a poor outcome. Kinase-activating alterations were identified in 91% of patients with Ph-like ALL; rearrangements involving ABL1, ABL2, CRLF2, CSF1R, EPOR, JAK2, NTRK3, PDGFRB, PTK2B, TSLP, or TYK2 and sequence mutations involving FLT3, IL7R, or SH2B3 were most common. Expression of ABL1, ABL2, CSF1R, JAK2, and PDGFRB fusions resulted in cytokine-independent proliferation and activation of phosphorylated STAT5. Cell lines and human leukemic cells expressing ABL1, ABL2, CSF1R, and PDGFRB fusions were sensitive in vitro to dasatinib, EPOR and JAK2 rearrangements were sensitive to ruxolitinib, and the ETV6-NTRK3 fusion was sensitive to crizotinib.

CONCLUSIONS

Ph-like ALL was found to be characterized by a range of genomic alterations that activate a limited number of signaling pathways, all of which may be amenable to inhibition with approved tyrosine kinase inhibitors. Trials identifying Ph-like ALL are needed to assess whether adding tyrosine kinase inhibitors to current therapy will improve the survival of patients with this type of leukemia. (Funded by the American Lebanese Syrian Associated Charities and others.).

Abstract A045: Cadherin-11, a common therapeutic target in poor prognosis malignancies and rheumatoid arthritis

Rational: Poor prognosis epithelial-derived cancers often exhibit morphologic and molecular changes characteristic of an epithelial to mesenchymal transition (EMT). EMT markers are predominantly found in tumors with a basal-like phenotype. Increased expression of the mesenchymal cadherins N-cadherin and/or Cadherin-11 (CDH11) and decreased E-cadherin, have been associated with both EMT and tumor progression. Importantly, CDH11 is a therapeutic target in rheumatoid arthritis (RA), an inflammatory disease with properties often compared with cancer. As CDH11 antibody based therapeutics are in clinical trials for RA and we recently showed that the arthritis drug celecoxib has the structural potential to bind CDH11, there is a strong possibility that, if CDH11can be shown to drive malignant progression rather than simply be associated with it, therapeutic options may be rapidly developed.

Results: We show that CDH11 is increased early in breast cancer and ductal carcinoma in-situ. CDH11 knockdown and antibodies effective in RA slowed the growth of basal-like breast tumors. CDH11 attenuation decreased proliferation and colony formation of breast, glioblastoma and prostate cancer cells. The arthritis drug celecoxib, which has characteristics consistent with CDH11 binding, an analogue without COX-2 inhibitory activity and other molecules that target CDH11, preferentially affect CDH11 positive cancer cells.

Conclusion: Our work demonstrates that cadherin-11 is important for malignant progression, is a therapeutic target in several aggressive tumors and introduces an antibody, novel small molecules and an approved arthritis drug that inhibit its function with potential for rapid clinical translation.

Citation Format: Shahin Assefnia, Sivanesan Dakshanamurthy, Jaime M. Guidry Auvil, Constanze Hampel, Panos Anastasiadis, Bhaskar Kallakury, Aykut Uren, David W. Foley, Milton Brown, Lawrence Shapiro, Michael Brenner, David Haigh, Stephen W. Byers. Cadherin-11, a common therapeutic target in poor prognosis malignancies and rheumatoid arthritis. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Breast Cancer Research: Genetics, Biology, and Clinical Applications; Oct 3-6, 2013; San Diego, CA. Philadelphia (PA): AACR; Mol Cancer Res 2013;11(10 Suppl):Abstract nr A045.

The genetic landscape of high-risk neuroblastoma

Neuroblastoma is a malignancy of the developing sympathetic nervous system that often presents with widespread metastatic disease, resulting in survival rates of less than 50%¹. To determine the spectrum of somatic mutation in high-risk neuroblastoma, we studied 240 cases using a combination of whole exome, genome and transcriptome sequencing as part of the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) initiative. Here we report a low median exonic mutation frequency of 0.60 per megabase (0.48 non-silent), and remarkably few recurrently mutated genes in these tumors. Genes with significant somatic mutation frequencies included ALK (9.2% of cases), PTPN11 (2.9%), ATRX (2.5%, an additional 7.1% had focal deletions), MYCN (1.7%, a recurrent p.Pro44Leu alteration), and NRAS (0.83%). Rare, potentially pathogenic germline variants were significantly enriched in ALK, CHEK2, PINK1, and BARD1. The relative paucity of recurrent somatic mutations in neuroblastoma challenges current therapeutic strategies reliant upon frequently altered oncogenic drivers.