Setup Uncertainty of Pediatric Brain Tumor Patients Receiving Proton Therapy: A Prospective Study

This study quantifies setup uncertainty in brain tumor patients who received image-guided proton therapy. Patients analyzed include 165 children, adolescents, and young adults (median age at radiotherapy: 9 years (range: 10 months to 24 years); 80 anesthetized and 85 awake) enrolled in a single-institution prospective study from 2020 to 2023. Cone-beam computed tomography (CBCT) was performed daily to calculate and correct manual setup errors, once per course after setup correction to measure residual errors, and weekly after treatments to assess intrafractional motion. Orthogonal radiographs were acquired consecutively with CBCT for paired comparisons of 40 patients. Translational and rotational errors were converted from 6 degrees of freedom to a scalar by a statistical approach that considers the distance from the target to the isocenter. The 95th percentile of setup uncertainty was reduced by daily CBCT from 10 mm (manual positioning) to 1-1.5 mm (after correction) and increased to 2 mm by the end of fractional treatment. A larger variation existed between the roll corrections reported by radiographs vs. CBCT than for pitch and yaw, while there was no statistically significant difference in translational variation. A quantile mixed regression model showed that the 95th percentile of intrafractional motion was 0.40 mm lower for anesthetized patients (p=0.0016). Considering additional uncertainty in radiation-imaging isocentricity, the commonly used total plan robustness of 3 mm against positional uncertainty would be appropriate for our study cohort.

Genomes for Kids: The scope of pathogenic mutations in pediatric cancer revealed by comprehensive DNA and RNA sequencing

Genomic studies of pediatric cancer have primarily focused on specific tumor types or high-risk disease. Here, we used a three-platform sequencing approach, including whole genome (WGS), exome, and RNA sequencing, to examine tumor and germline genomes from 309 prospectively identified children with newly diagnosed (85%) or relapsed/refractory (15%) cancers, unselected for tumor type. Eighty-six percent of patients harbored diagnostic (53%), prognostic (57%), therapeutically-relevant (25%), and/or cancer predisposing (18%) variants. Inclusion of WGS enabled detection of activating gene fusions and enhancer hijacks (36% and 8% of tumors, respectively), small intragenic deletions (15% of tumors) and mutational signatures revealing of pathogenic variant effects. Evaluation of paired tumor-normal data revealed relevance to tumor development for 55% of pathogenic germline variants. This study demonstrates the power of a three-platform approach that incorporates WGS to interrogate and interpret the full range of genomic variants across newly diagnosed as well as relapsed/refractory pediatric cancers.

IMG-20. RADIOMIC FEATURES IMPROVE PROGNOSTICATION OVER CONVENTIONAL MR DERIVED QUALITATIVE DESCRIPTORS IN PEDIATRIC SUPRATENTORIAL HIGH GRADE GLIOMA: COMPARISON OF MACHINE LEARNING TECHNIQUES

PURPOSE/OBJECTIVES

Pediatric supratentorial high-grade glioma (stHGG) is a biologically heterogeneous disease defined by unique mutations, natural history and prognosis. Prior work by our group outlined a role for qualitative imaging features in aiding prognostication. We build on that work by evaluating the prognostic utility of radiomic features (RM) when paired with clinical factors. MATERIALS/

METHODS

Ninety-one patients age < 21 years with stHGG treated between 1980–2007 were retrospectively reviewed. Prognostic clinical, qualitative imaging (Visually AcceSAble Rembrandt Images, VASARI), and treatment characteristics were evaluated in concert with manual and automatically segmented (DeepMedic), tumor-derived semi-quantitative radiomic features (Pyradiomics) extracted from MR images. Prognostic RM were limited to stable imaging features which were subsequently selected using bootstrapped least absolute shrinkage and selection operator (LASSO). Nonparametric descriptive statistics and prognostication model evaluation, incorporating RM and clinical variables, were developed using random forest (RF), Cox proportional hazards (CPH), and deep learning (deepsurv) algorithms and assessed for goodness of fit using (c-index).

RESULTS

A subset (N=80) of 386 intensity, shape, and texture derived RM were stable between pre-treatment MR. 28 RM features were independently predictive of survival when compared to models utilizing combinations of clinical, VASARI and had comparable model fit statistics. CPH, RF and deepsurv showed comparable utility in modelling RM features. Combined modelling of clinical, VASARI and RM features using CPH, RF, and deepsurv resulted in c-indices of 0.68, 0.67, 0.68, respectively.

CONCLUSION

RM features are stable and independently prognostic. Combined modelling of clinical, VASARI, and RM features improves prognostication in stHGG.

Defining Optimal Target Volumes of Conformal Radiation Therapy for Diffuse Intrinsic Pontine Glioma

PURPOSE

Optimal radiation therapy (RT) target margins for diffuse intrinsic pontine glioma (DIPG) are unknown. We sought to define disease progression patterns in a contemporary cohort treated with conformal RT using different clinical target volume (CTV) margins.

METHODS AND MATERIALS

We reviewed 105 patients with newly diagnosed DIPG treated with conformal conventionally fractionated RT at our institution from 2006 to 2014. CTV margins were classified as standard (1 cm) for 60 patients and extended (2-3 cm) for 45 patients. Survival and cumulative incidence of progression in treatment groups were compared by log-rank and Gray's tests, respectively. Cox proportional hazard models identified predictors of survival.

RESULTS

For 97 patients evaluated with magnetic resonance imaging at progression, the cumulative incidences of isolated local, isolated distant, and synchronous disease progression at 1 year were 62.6%, 12.3%, and 7.2%, respectively, and did not differ significantly according to the CTV margin. Central dosimetric progression (V_progression95% ≥95%) was observed in 80 of 81 evaluable patients. Median progression-free survival and overall survival (OS) were 7.6 months (95% confidence interval, 6.9-8.2) and 11.3 months (95% confidence interval, 10.0-12.8), respectively, and did not differ significantly according to margin status. DIPG survival prediction risk group (standard vs high, P = .02; intermediate vs high, P = .009) and development of distant metastasis (P = .003) were independent predictors of OS. For the 41 patients (39%) with a pathologic diagnosis, H3.3 K27M mutation was associated with shorter OS (hazard ratio [HR], 0.41; P =.02), whereas H3.1 K27M and ACVR1 mutations were associated with longer OS (HR, 3.56; P =.004 and HR, 2.58; P =.04, respectively).

CONCLUSIONS

All patients who experienced local failure showed progression within the high-dose volume, and there was no apparent survival or tumor-control benefit to extending the CTV margins beyond 1 cm. Given the increasing use of reirradiation, standardizing the CTV margin to 1 cm may improve retreatment tolerance.

Abstract 2628: Molecular diagnosis for pediatric cancer through integrative analysis of whole-genome, whole-exome and transcriptome sequencing

Next-generation sequencing (NGS) of the whole genome, whole exome, and transcriptome has enabled characterization of genetic landscapes of multiple cancers. By analyzing over 2,000 pediatric cancer patients, we have developed a comprehensive database for recurrent somatic alterations and pathogenic germline mutations as part of the St. Jude/Washington University Pediatric Cancer Genome Project. However, there is no systematic evaluation on whether NGS is able to identify germline and somatic lesions reported by existing molecular diagnostic assays and what combination of NGS platforms is best suited for clinical sequencing. Here we report the first comprehensive study that employs whole-genome sequencing at 30-45X coverage, whole-exome sequencing at 100X coverage and transcriptome sequencing using matched tumor/normal samples from cancer patients. A pilot study was carried out to perform NGS analysis on 78 children of leukemia, solid tumor or brain tumor with a total of 112 diagnostic or prognostic biomarkers previously characterized by multiple molecular diagnostic assays. We implemented an analysis pipeline that integrates the genetic lesions detected by all three NGS platforms to characterize somatic and germline single nucleotide variations (SNVs), short insertions and deletions (indels), structural variations including fusions, karyotypes, copy number alterations, loss of heterozygosity, tumor purity and tumor-in-normal contamination. The turn-around time for data analysis is 2 weeks with an overall sensitivity of 99% on detecting known biomarkers. Extensive validation of >3,000 somatic sequence mutations or structural variations from 38 cases shows that the specificity for somatic SNV, indel and structural variation is at 98%, 95% and 84% across the genome. We demonstrate that in addition to providing cross-validation, multi-platform NGS is required for detecting all genetic lesions of pathological significance including complex re-arrangements such as chromothripsis. In addition to known pathogenic or likely pathogenic mutations, our analysis has also unveiled novel pathogenic mutations (e.g. a germline deletion in TP53 in one patient with medulloblastoma) and identified multiple variants of unknown significance that may be worth further exploration (e.g. an in-frame deletion of exons 3-9 of DNMT3A in one neuroblastoma). Our study demonstrates that NGS is able to detect a wide range of genetic lesions currently characterized by multiple molecular diagnostic assays, providing critical insight into the design of clinical sequencing for ongoing studies.

Citation Format: Jinghui Zhang, Michael Rusch, Joy Nakitandwe, Zhaojie Zhang, Michael N. Edmonson, Matthew Parker, Xiaotu Ma, Jared Becksfort, Andrew Thrasher, Jiali Gu, Yongjin Li, Erin Hedlund, Aman Patel, John Easton, Donald Yergeau, Bhavin Vadodaria, Xiang Chen, Tanja A. Gruber, Rose McGee, David Ellison, Sheila Shurtleff, James R. Downing. Molecular diagnosis for pediatric cancer through integrative analysis of whole-genome, whole-exome and transcriptome sequencing. [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 2628.

Abstract 2436: Exploring genomic alterations in pediatric cancer using ProteinPaint

Current cancer genome data portals have focused primarily on presenting data generated from adult cancer studies. These portals typically lack features for exploring pathogenic germline mutations, somatic gene fusions, and gene expression profiling, all of which are important biomarkers for risk stratification of pediatric cancer. We have developed ProteinPaint (https://pecan.stjude.org/proteinpaint/), a web service hosting 30,000+ validated somatic SNV/indels and fusion transcripts detected in 1,654 pediatric tumor samples from 17 subtypes, 252 pathogenic or loss-of-function germline lesions detected in >1000 pediatric cancer patients of 21 subtypes, and gene expression profiles derived from RNA-Seq of 928 pediatric tumors. Cancer genomic alterations are shown on novel “disc-on-stem” skewer graphs which were designed to depict the diverse prevalence, complex allelic alteration, and temporal origin of sequence mutations and gene fusions. Adult somatic cancer mutation data from the COSMIC database can be displayed in parallel with pediatric cancer data sets for cross-study comparison. We will demonstrate examples of how ProteinPaint's integrative view of genomic alteration, gene expression and pediatric-adult data comparison has facilitated the evaluation of somatic and germline mutation pathogenicity in a clinical setting. Custom data including sequence mutations in the MAF format used by the Cancer Genome Atlas (TCGA) project, copy number alterations, and structural variations can all be imported and visualized alongside published pediatric and adult cancer data sets. Furthermore, ProteinPaint supports curation and annotation of fusion transcripts predicted from RNASeq data and analysis of tumor clonal evolution with a 2-D plot of mutation frequency of paired diagnosis and relapse samples. ProteinPaint delivers a premium user experience with animation and interactive features for visualizing large cancer mutation datasets, and can serve as a workbench to import, explore and interpret user data. Its framework continues to expand as its intuitive visualization has enabled non-bioinformatics scientists and clinicians to access and manipulate genomic data for discovery and clinical reporting.

Citation Format: Xin Zhou, Michael N. Edmonson, Mark R. Wilkinson, Aman Patel, Gang Wu, Yu Liu, Yongjin Li, Zhaojie Zhang, Michael Rusch, Matthew Parker, Jared Becksfort, James R. Downing, Jinghui Zhang. Exploring genomic alterations in pediatric cancer using ProteinPaint. [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 2436.

Genetic alterations in uncommon low-grade neuroepithelial tumors: BRAF, FGFR1, and MYB mutations occur at high frequency and align with morphology

Low-grade neuroepithelial tumors (LGNTs) are diverse CNS tumors presenting in children and young adults, often with a history of epilepsy. While the genetic profiles of common LGNTs, such as the pilocytic astrocytoma and 'adult-type' diffuse gliomas, are largely established, those of uncommon LGNTs remain to be defined. In this study, we have used massively parallel sequencing and various targeted molecular genetic approaches to study alterations in 91 LGNTs, mostly from children but including young adult patients. These tumors comprise dysembryoplastic neuroepithelial tumors (DNETs; n = 22), diffuse oligodendroglial tumors (d-OTs; n = 20), diffuse astrocytomas (DAs; n = 17), angiocentric gliomas (n = 15), and gangliogliomas (n = 17). Most LGNTs (84 %) analyzed by whole-genome sequencing (WGS) were characterized by a single driver genetic alteration. Alterations of FGFR1 occurred frequently in LGNTs composed of oligodendrocyte-like cells, being present in 82 % of DNETs and 40 % of d-OTs. In contrast, a MYB-QKI fusion characterized almost all angiocentric gliomas (87 %), and MYB fusion genes were the most common genetic alteration in DAs (41 %). A BRAF:p.V600E mutation was present in 35 % of gangliogliomas and 18 % of DAs. Pathogenic alterations in FGFR1/2/3, BRAF, or MYB/MYBL1 occurred in 78 % of the series. Adult-type d-OTs with an IDH1/2 mutation occurred in four adolescents, the youngest aged 15 years at biopsy. Despite a detailed analysis, novel genetic alterations were limited to two fusion genes, EWSR1-PATZ1 and SLMAP-NTRK2, both in gangliogliomas. Alterations in BRAF, FGFR1, or MYB account for most pathogenic alterations in LGNTs, including pilocytic astrocytomas, and alignment of these genetic alterations and cytologic features across LGNTs has diagnostic implications. Additionally, therapeutic options based upon targeting the effects of these alterations are already in clinical trials.

The landscape of somatic mutations in infant MLL-rearranged acute lymphoblastic leukemias

Infant acute lymphoblastic leukemia (ALL) with MLL rearrangements (MLL-R) represents a distinct leukemia with a poor prognosis. To define its mutational landscape, we performed whole genome, exome, RNA and targeted DNA sequencing on 65 infants (47 MLL-R and 18 non-MLL-R) and 20 older children (MLL-R cases) with leukemia. Our data demonstrated infant MLL-R ALL to have one of the lowest frequencies of somatic mutations of any sequenced cancer, with the predominant leukemic clone carrying a mean of 1.3 non-silent mutations. Despite the paucity of mutations, activating mutations in kinase/PI3K/RAS signaling pathways were detected in 47%. Surprisingly, however, these mutations were often sub-clonal and frequently lost at relapse. In contrast to infant cases, MLL-R leukemia in older children had more somatic mutations (a mean of 6.5/case versus 1.3/case, P=7.15×10⁻⁵) and contained frequent mutations (45%) in epigenetic regulators, a category of genes that with the exception of MLL was rarely mutated in infant MLL-R ALL.

Outcomes of children with BCR-ABL1–like acute lymphoblastic leukemia treated with risk-directed therapy based on the levels of minimal residual disease

PURPOSE

BCR-ABL1–like acute lymphoblastic leukemia (ALL) is a recently identified B-cell ALL (B-ALL)subtype with poor outcome that exhibits a gene expression profile similar to BCR-ABL1-positive ALL but lacks the BCR-ABL1 fusion protein. We examined the outcome of children with BCR-ABL1–like ALL treated with risk-directed therapy based on minimal residual disease (MRD) levels during remission induction.

PATIENTS AND METHODS

Among 422 patients with B-ALL enrolled onto the Total Therapy XV study between 2000 and 2007, 344 had adequate samples for gene expression profiling. Next-generation sequencing and/or analysis of genes known to be altered in B-ALL were performed in patients with BCR-ABL1–likeALL who had available material. Outcome was compared between patients with and those without BCR-ABL1–like ALL.

RESULTS

Forty (11.6%) of the 344 patients had BCR-ABL1–like ALL. They were significantly more likely to be male, have Down syndrome, and have higher MRD levels on day 19 and at the end of induction than did other patients with B-ALL. Among 25 patients comprehensively studied for genetic abnormalities, 11 harbored a genomic rearrangement of CRLF2, six had fusion transcripts responsive to ABL tyrosine kinase inhibitors or JAK inhibitors, and seven had mutations involving the Ras signaling pathway. There were no significant differences in event-free survival (90.0% +/- 4.7% [SE] v. 88.4% +/- .9% at 5 years; P = .41or in overall survival (92.5% +/- 4.2% v. 95.1% +/- 1.3% at 5 years; P = .41) between patients with and without BCR-ABL1–like ALL.

CONCLUSION

Patients who have BCR-ABL1–like ALL with poor initial treatment response can be salvaged with MRD-based risk-directed therapy and may benefit from identification of kinase-activating lesions for targeted therapies.

Abstract PR03: The genomic landscape of diffuse intrinsic pontine glioma and pediatric non-brainstem high-grade glioma

Pediatric high-grade glioma (HGG) remains a tremendous clinical challenge, with a two-year survival of less than 20%. We analyzed 127 pediatric HGGs, including diffuse intrinsic pontine gliomas (DIPGs) and non-brainstem HGGs (NBS-HGGs) by whole-genome, whole-exome, and/or transcriptome sequencing. Somatic mutations in the bone morphogenetic protein (BMP) receptor ACVR1 occurred in 32% of DIPG, a finding exclusive to brainstem HGG. Structural variants generating fusion genes were found in 47% of pediatric HGG, with recurrent fusions involving the neurotrophin receptor genes NTRK1, 2, or 3 in 40% of infant NBS-HGGs and 5% of pediatric HGG overall. Multiple mutations targeted pathways involving histone modification or chromatin remodeling, cell cycle regulation and receptor tyrosine kinase/RAS/PI3K signaling, in both DIPG and NBS-HGGs at frequencies of greater than 39% in the entire cohort. The HGG mutation burden ranged from 2 non-silent mutations in an infant HGG to more than a million mutations in a tumor associated with germline mismatch repair deficiency. From these findings, we have established novel tumor models to better understand this devastating disease. This work provides new insight into the genetic events driving pediatric HGG tumorigenesis.

This abstract is also presented as Poster B14.

Citation Format: Alexander K. Diaz, Gang Wu, Barbara S. Paugh, Yongjin Li, Xiaoyan Zhu, Sherri Rankin, Chunxu Qu, Xiang Chen, Junyuan Zhang, John Easton, Michael Edmonson, Charles Lu, Panduka Nagahawatte, Erin Hedlund, Michael Rusch, Stanley Pounds, Tong Lin, Arzu Onar-Thomas, Robert Huether, Richard Kriwacki, Matthew Parker, Pankaj Gupta, Jared Becksfort, Lei Wei, Heather L. Mulder, Kristy Boggs, Bhavin Vadodaria, Donald Yergeau, Kerri Ochoa, Robert S. Fulton, Lucinda S. Fulton, Chris Jones, Alberto Broniscer, Cynthia Wetmore, Amar Gajjar, Li Ding, Elaine R. Mardis, Richard K. Wilson, James R. Downing, David W. Ellison, Jinghui Zhang, Suzanne J. Baker, For the St Jude Children's Research Hospital – Washington University Pediatric Cancer Genome Project. The genomic landscape of diffuse intrinsic pontine glioma and pediatric non-brainstem high-grade glioma. [abstract]. In: Proceedings of the AACR Special Conference on Pediatric Cancer at the Crossroads: Translating Discovery into Improved Outcomes; Nov 3-6, 2013; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2013;74(20 Suppl):Abstract nr PR03.

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.).

The landscape of somatic mutations in epigenetic regulators across 1,000 paediatric cancer genomes

Studies of paediatric cancers have shown a high frequency of mutation across epigenetic regulators. Here we sequence 633 genes, encoding the majority of known epigenetic regulatory proteins, in over 1,000 paediatric tumours to define the landscape of somatic mutations in epigenetic regulators in paediatric cancer. Our results demonstrate a marked variation in the frequency of gene mutations across 21 different paediatric cancer subtypes, with the highest frequency of mutations detected in high-grade gliomas, T-lineage acute lymphoblastic leukaemia and medulloblastoma, and a paucity of mutations in low-grade glioma and retinoblastoma. The most frequently mutated genes are H3F3A, PHF6, ATRX, KDM6A, SMARCA4, ASXL2, CREBBP, EZH2, MLL2, USP7, ASXL1, NSD2, SETD2, SMC1A and ZMYM3. We identify novel loss-of-function mutations in the ubiquitin-specific processing protease 7 (USP7) in paediatric leukaemia, which result in decreased deubiquitination activity. Collectively, our results help to define the landscape of mutations in epigenetic regulatory genes in paediatric cancer and yield a valuable new database for investigating the role of epigenetic dysregulations in cancer.

The genomic landscape of diffuse intrinsic pontine glioma and pediatric non-brainstem high-grade glioma

Pediatric high-grade glioma (HGG) is a devastating disease with a two-year survival of less than 20%¹. We analyzed 127 pediatric HGGs, including diffuse intrinsic pontine gliomas (DIPGs) and non-brainstem HGGs (NBS-HGGs) by whole genome, whole exome, and/or transcriptome sequencing. We identified recurrent somatic mutations in ACVR1 exclusively in DIPG (32%), in addition to the previously reported frequent somatic mutations in histone H3, TP53 and ATRX in both DIPG and NBS-HGGs^2-5. Structural variants generating fusion genes were found in 47% of DIPGs and NBS-HGGs, with recurrent fusions involving the neurotrophin receptor genes NTRK1, 2, or 3 in 40% of NBS-HGGs in infants. Mutations targeting receptor tyrosine kinase/RAS/PI3K signaling, histone modification or chromatin remodeling, and cell cycle regulation were found in 68%, 73% and 59%, respectively, of pediatric HGGs, including DIPGs and NBS-HGGs. This comprehensive analysis provides insights into the unique and shared pathways driving pediatric HGG within and outside the brainstem.

Whole-genome sequencing identifies genetic alterations in pediatric low-grade gliomas

The most common pediatric brain tumors are low-grade gliomas (LGGs). We used whole-genome sequencing to identify multiple new genetic alterations involving BRAF, RAF1, FGFR1, MYB, MYBL1 and genes with histone-related functions, including H3F3A and ATRX, in 39 LGGs and low-grade glioneuronal tumors (LGGNTs). Only a single non-silent somatic alteration was detected in 24 of 39 (62%) tumors. Intragenic duplications of the portion of FGFR1 encoding the tyrosine kinase domain (TKD) and rearrangements of MYB were recurrent and mutually exclusive in 53% of grade II diffuse LGGs. Transplantation of Trp53-null neonatal astrocytes expressing FGFR1 with the duplication involving the TKD into the brains of nude mice generated high-grade astrocytomas with short latency and 100% penetrance. FGFR1 with the duplication induced FGFR1 autophosphorylation and upregulation of the MAPK/ERK and PI3K pathways, which could be blocked by specific inhibitors. Focusing on the therapeutically challenging diffuse LGGs, our study of 151 tumors has discovered genetic alterations and potential therapeutic targets across the entire range of pediatric LGGs and LGGNTs.

The genomic landscape of hypodiploid acute lymphoblastic leukemia

The genetic basis of hypodiploid acute lymphoblastic leukemia (ALL), a subtype of ALL characterized by aneuploidy and poor outcome, is unknown. Genomic profiling of 124 hypodiploid ALL cases, including whole-genome and exome sequencing of 40 cases, identified two subtypes that differ in the severity of aneuploidy, transcriptional profiles and submicroscopic genetic alterations. Near-haploid ALL with 24-31 chromosomes harbor alterations targeting receptor tyrosine kinase signaling and Ras signaling (71%) and the lymphoid transcription factor gene IKZF3 (encoding AIOLOS; 13%). In contrast, low-hypodiploid ALL with 32-39 chromosomes are characterized by alterations in TP53 (91.2%) that are commonly present in nontumor cells, IKZF2 (encoding HELIOS; 53%) and RB1 (41%). Both near-haploid and low-hypodiploid leukemic cells show activation of Ras-signaling and phosphoinositide 3-kinase (PI3K)-signaling pathways and are sensitive to PI3K inhibitors, indicating that these drugs should be explored as a new therapeutic strategy for this aggressive form of leukemia.

Novel mutations target distinct subgroups of medulloblastoma

Medulloblastoma is a malignant childhood brain tumour comprising four discrete subgroups. Here, to identify mutations that drive medulloblastoma, we sequenced the entire genomes of 37 tumours and matched normal blood. One-hundred and thirty-six genes harbouring somatic mutations in this discovery set were sequenced in an additional 56 medulloblastomas. Recurrent mutations were detected in 41 genes not yet implicated in medulloblastoma; several target distinct components of the epigenetic machinery in different disease subgroups, such as regulators of H3K27 and H3K4 trimethylation in subgroups 3 and 4 (for example, KDM6A and ZMYM3), and CTNNB1-associated chromatin re-modellers in WNT-subgroup tumours (for example, SMARCA4 and CREBBP). Modelling of mutations in mouse lower rhombic lip progenitors that generate WNT-subgroup tumours identified genes that maintain this cell lineage (DDX3X), as well as mutated genes that initiate (CDH1) or cooperate (PIK3CA) in tumorigenesis. These data provide important new insights into the pathogenesis of medulloblastoma subgroups and highlight targets for therapeutic development.

Genetic alterations activating kinase and cytokine receptor signaling in high-risk acute lymphoblastic leukemia

Genomic profiling has identified a subtype of high-risk B-progenitor acute lymphoblastic leukemia (B-ALL) with alteration of IKZF1, a gene expression profile similar to BCR-ABL1-positive ALL and poor outcome (Ph-like ALL). The genetic alterations that activate kinase signaling in Ph-like ALL are poorly understood. We performed transcriptome and whole genome sequencing on 15 cases of Ph-like ALL and identified rearrangements involving ABL1, JAK2, PDGFRB, CRLF2, and EPOR, activating mutations of IL7R and FLT3, and deletion of SH2B3, which encodes the JAK2-negative regulator LNK. Importantly, several of these alterations induce transformation that is attenuated with tyrosine kinase inhibitors, suggesting the treatment outcome of these patients may be improved with targeted therapy.

Abstract 4869: Whole genome sequence analysis of MLL rearranged infant acute lymphoblastic leukemias reveals remarkably few somatic mutations: A Report From the St Jude Children's Research Hospital - Washington University Pediatric Cancer Genome Project

Infant acute lymphoblastic leukemia (ALL) is characterized by MLL rearrangements (MLLr) and poor prognosis. To determine the complement of somatic mutations in this high risk leukemia, we performed whole genome sequencing (WGS) on 22 infants with MLL rearranged ALL. An analysis of the structure of the MLLr revealed that over half had complex rearrangements involving either three or more chromosomes, carried cryptic rearrangements, or contained at the breakpoints deletions, amplifications, insertions, or inversion of sequences. In three cases, genetic rearrangements were predicted to generate in addition to the MLL-partner gene fusion, novel in-frame fusions including KRAS-MLL; RAD51B-MLL / AFF1-RAD51B, AFF1-RAD51B-MLL; MLLT10-ATP5L-YPEL4 / ATP5L-YPEL4. An analysis of the number of non-silent mutations revealed infant ALL to have the lowest frequency of somatic mutations of any cancer sequenced to date. After removal of SVs and CNAs associated with the MLLr, a mean of only 3.5 SVs and 2.2 SNVs affecting the coding region of annotated genes or regulatory RNAs were detected per case. Despite the paucity of mutations several pathways were recurrently targeted including PI3K/RAS pathway in 45% (KRAS (n=4), NRAS (n=2), and non-recurrent mutations in NF1, PTPN11, PIK3R1, and ARHGAP32 (p200Rho/GAP)), B cell differentiation in 23% as a result of mono-allelic deletion or gains of PAX5, 14% with deletions of the CDKN2A/B, and 2 cases with focal deletions of the non-coding RNA genes DLEU1/2. WGS of two infant ALL relapse samples and comparison with their matched diagnostic samples revealed a marked increase in the number of mutations at relapse. Moreover, an analysis of the allelic ratios of mutated genes revealed clonal heterogeneity at diagnosis with relapse appearing to arise from a minor diagnostic clone. Because of the exceedingly low number of mutations detected in infant ALL, we used exome sequencing to determine the frequency of non-silent SNVs in 20 MLLr leukemias (9 ALLs, 10 AMLs and 1 AUL) in older children (7-19 yrs). This analysis revealed that non-infant pediatric MLL leukemias harbor a significantly higher number of non-silent somatic SNVs than infant ALL (mean 7.4/case in older patients vs 2.2/case in infants, p<0.001). Although the higher frequency of mutations may be a reflection of age, the low number of cooperating mutations in infants raises the possibility that the target cell of transformation differs between infants and older children, with the cells present during early development requiring fewer cooperating mutations to induce leukemia. In summary our data demonstrated an exceedingly small number of mutations in infant leukemia. The number of detected somatic mutations may represent the lower limit required to transform a normal human cell into cancer.

Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 4869. doi:1538-7445.AM2012-4869

Abstract 4870: Integrated genomic analysis of hypodiploid acute lymphoblastic leukemia

Hypodiploid acute lymphoblastic leukemia (ALL) is an aggressive form of leukemia characterized by multiple whole chromosomal losses and very dismal outcome. Our previous genome wide study of hypodiploid childhood ALL cases treated by the Children's Oncology Group and St Jude, employed interrogation of DNA copy number alterations using Affymetrix SNP 6.0 microarrays, candidate gene resequencing and gene expression profiling using Affymetrix U133 Plus 2.0 microarrays. These analyses showed that this disease can be divided into multiple subtypes characterized by variation in the degree of aneuploidy, distinct submicroscopic deletions, sequence mutations and gene expression profile. Near haploid ALL (24-31 chromosomes) frequently harbors alterations of genes regulating Ras signaling (67.6%; NF1, NRAS, KRAS, PTPN11, FLT3, and PAG1), IKZF3 (encoding the lymphoid transcription factor AIOLOS; 13.2%), and a histone gene cluster at 6p22 (17.6%), while low hypodiploid ALL (32-39 chromosomes) is enriched for IKZF2 (HELIOS; 52.9%), TP53 (70.6%) and RB1 (41.2%) alterations. A striking finding was exclusivity of Ras signaling and IKZF2/3 alterations, and biochemical indications of Ras pathway activation in both near haploid and low hypodiploid ALL. To further interrogate the genomic changes of hypodiploid ALL, we performed next generation sequencing using either Illumina GAIIx or HiSeq3000 sequencers on both tumor and matched remission DNA. Whole genome sequencing to at least 30 fold haploid coverage was performed on 10 near haploid and 8 low hypodiploid cases, and whole exome sequencing (Agilent SureSelect Human All Exon 50Mb) on 5 near haploid and 1 low hypodiploid cases. The burden of single nucleotide variations (SNVs) and insertion/deletion (indel) mutations was in general low in this ALL subtype, with 0-5 indels and 9-95 SNVs in coding regions and untranslated leader regions in the whole genome sequenced cases, where the majority of cases had fewer than 30 SNVs. Further, the number of structural variations, including the ones too small to be identified by SNP microarray analysis, and structural rearrangements, were also low, with less than 25 structural variations identified in the whole genome sequenced cases. For the whole exomes, between 10 and 42 non-silent SNVs and 1-2 indels were identified per case. No recurrent alterations not previously identified in the hypodiploid cohort were found in these 24 cases, indicating that the initial genome wide study of this cohort identified the major recurrent alterations in hypodiploid ALL. However, the recurrence screening including the remaining 78 near haploid and low hypodiploid cases in our cohort on the alterations identified by the whole genome and exome sequencing study is ongoing. Altogether, these findings provide critical new insights into the genetic basis of hypodiploid ALL, and indicate that therapeutic targeting of the Ras pathway should be pursued in this disease.

Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 4870. doi:1538-7445.AM2012-4870

Association of age at diagnosis and genetic mutations in patients with neuroblastoma

CONTEXT

Neuroblastoma is diagnosed over a wide age range from birth through young adulthood, and older age at diagnosis is associated with a decline in survivability.

OBJECTIVE

To identify genetic mutations that are associated with age at diagnosis in patients with metastatic neuroblastoma.

DESIGN, SETTING, AND PATIENTS

Whole genome sequencing was performed on DNA from diagnostic tumors and their matched germlines from 40 patients with metastatic neuroblastoma obtained between 1987 and 2009. Age groups at diagnosis included infants (0-<18 months), children (18 months-<12 years), and adolescents and young adults (≥12 years). To confirm the findings from this discovery cohort, validation testing using tumors from an additional 64 patients obtained between 1985 and 2009 also was performed. Formalin-fixed, paraffin-embedded tumor tissue was used for immunohistochemistry and fluorescence in situ hybridization. Telomere lengths were analyzed using whole genome sequencing data, quantitative polymerase chain reaction, and fluorescent in situ hybridization.

MAIN OUTCOME MEASURE

Somatic recurrent mutations in tumors from patients with neuroblastoma correlated with the age at diagnosis and telomere length.

RESULTS

In the discovery cohort (n = 40), mutations in the ATRX gene were identified in 100% (95% CI, 50%-100%) of tumors from patients in the adolescent and young adult group (5 of 5), in 17% (95% CI, 7%-36%) of tumors from children (5 of 29), and 0% (95% CI, 0%-40%) of tumors from infants (0 of 6). In the validation cohort (n = 64), mutations in the ATRX gene were identified in 33% (95% CI, 17%-54%) of tumors from patients in the adolescent and young adult group (9 of 27), in 16% (95% CI, 6%-35%) of tumors from children (4 of 25), and in 0% (95% CI, 0%-24%) of tumors from infants (0 of 12). In both cohorts (N = 104), mutations in the ATRX gene were identified in 44% (95% CI, 28%-62%) of tumors from patients in the adolescent and young adult group (14 of 32), in 17% (95% CI, 9%-29%) of tumors from children (9 of 54), and in 0% (95% CI, 0%-17%) of tumors from infants (0 of 18). ATRX mutations were associated with an absence of the ATRX protein in the nucleus and with long telomeres.

CONCLUSION

ATRX mutations were associated with age at diagnosis in children and young adults with stage 4 neuroblastoma.

TRIAL REGISTRATION

clinicaltrials.gov Identifier: NCT00588068.

Paired analysis of TCRα and TCRβ chains at the single-cell level in mice

Characterizing the TCRα and TCRβ chains expressed by T cells responding to a given pathogen or underlying autoimmunity helps in the development of vaccines and immunotherapies, respectively. However, our understanding of complementary TCRα and TCRβ chain utilization is very limited for pathogen- and autoantigen-induced immunity. To address this problem, we have developed a multiplex nested RT-PCR method for the simultaneous amplification of transcripts encoding the TCRα and TCRβ chains from single cells. This multiplex method circumvented the lack of antibodies specific for variable regions of mouse TCRα chains and the need for prior knowledge of variable region usage in the TCRβ chain, resulting in a comprehensive, unbiased TCR repertoire analysis with paired coexpression of TCRα and TCRβ chains with single-cell resolution. Using CD8+ CTLs specific for an influenza epitope recovered directly from the pneumonic lungs of mice, this technique determined that 25% of such effectors expressed a dominant, nonproductively rearranged Tcra transcript. T cells with these out-of-frame Tcra mRNAs also expressed an alternate, in-frame Tcra, whereas approximately 10% of T cells had 2 productive Tcra transcripts. The proportion of cells with biallelic transcription increased over the course of a response, a finding that has implications for immune memory and autoimmunity. This technique may have broad applications in mouse models of human disease.