Genomic analysis of childhood High grade glial (HGG) brain tumors

Similar documents
Gliomas in the 2016 WHO Classification of CNS Tumors

Neuropathology Evening Session: Case 3

Copy number and somatic mutations drive tumors

Classification of Diffuse Gliomas: Progress, Pearls and Pitfalls. Rob Macaulay Neuropathologist, MCC October 21, 2017

Molecular Genetics of Paediatric Tumours. Gino Somers MBBS, BMedSci, PhD, FRCPA Pathologist-in-Chief Hospital for Sick Children, Toronto, ON, CANADA

Nature Genetics: doi: /ng.2995

Assessment of Breast Cancer with Borderline HER2 Status Using MIP Microarray

Karl Kashofer, Phd Institut für Pathologie Medizinische Universität Graz

A clinical perspective on neuropathology and molecular genetics in brain tumors

MOLECULAR DIAGNOSTICS OF GLIOMAS

Supplementary Appendix

The Cancer Genome Atlas Research Network* abstract

Clinical significance of genetic analysis in glioblastoma treatment

Jennifer Hauenstein Oncology Cytogenetics Emory University Hospital Atlanta, GA

Whole Genome and Transcriptome Analysis of Anaplastic Meningioma. Patrick Tarpey Cancer Genome Project Wellcome Trust Sanger Institute

Diagnostic application of SNParrays to brain cancers

BRAF mutation and CDKN2A deletion define a clinically distinct subgroup of childhood secondary high-grade glioma

Enterprise Interest None

The mutations that drive cancer. Paul Edwards. Department of Pathology and Cancer Research UK Cambridge Institute, University of Cambridge

Application of Whole Genome Microarrays in Cancer: You should be doing this test!!

PLEASE STAND BY the webinar Unearthing Hidden Genomic Data in Solid Tumor Samples: Are Your FFPE Samples Revealing All? will begin shortly

Characterisation of structural variation in breast. cancer genomes using paired-end sequencing on. the Illumina Genome Analyser

The Role of ploidy in neuroblastoma. Michael D. Hogarty, MD Division of Oncology Children s Hospital of Philadelphia

SALSA MLPA probemix P175-A3 Tumour Gain Lot A3-0714: As compared to the previous version A2 (lot A2-0411), nine probes have a small change in length.

The New WHO Classification and the Role of Integrated Molecular Profiling in the Diagnosis of Malignant Gliomas

Supplemental Information. Molecular, Pathological, Radiological, and Immune. Profiling of Non-brainstem Pediatric High-Grade

Next Generation Sequencing in Clinical Practice: Impact on Therapeutic Decision Making

Cynthia Hawkins. Division of Pathology, Labatt Brain Tumour Research Centre, The Hospital for Sick Children, University of Toronto, Canada

Molecular diagnostics of gliomas: state of the art

Current and future applications of Molecular Pathology. Kathy Walsh Clinical Scientist NHS Lothian

Pr D.Figarella-Branger Service d Anatomie Pathologique et de Neuropathologie, La Timone, Marseille UMR 911 Inserm, Université d Aix-Marseille

Glioblastoma mul,forme

Clinically Useful Next Generation Sequencing and Molecular Testing in Gliomas MacLean P. Nasrallah, MD PhD

Morphological features and genetic alterations

WHO 2016 CNS Tumor Classification Update. DISCLOSURES (Arie Perry, MD) PATTERN RECOGNITION. Arie Perry, M.D. Director, Neuropathology

Developments in small cell lung cancer G. Giaccone, MD PhD Chief, Medical Oncology Branch and Affiliates National Cancer Institute Bethesda MD USA

Precision medicine for gliomas

The role of cytogenomics in the diagnostic work-up of Chronic Lymphocytic Leukaemia

Radioterapia no Tratamento dos Gliomas de Baixo Grau

2017 Diagnostic Slide Session Case 3

5 th July 2016 ACGS Dr Michelle Wood Laboratory Genetics, Cardiff

Applications of molecular neuro-oncology - a review of diffuse glioma integrated diagnosis and emerging molecular entities

What yield in the last decade about Molecular Diagnostics in Neuro

Disclosures Genomic testing in lung cancer

Integrated Analysis of Copy Number and Gene Expression

PI3-Kinase Signaling. Rational Incorporation of Novel Agents into Multimodality Therapy. PI3-kinase. PI3-kinase 5/2/2010

Hematopathology Service Memorial Sloan Kettering Cancer Center, New York

IDH1 R132H/ATRX Immunohistochemical validation

Supplementary Figure 1. Copy Number Alterations TP53 Mutation Type. C-class TP53 WT. TP53 mut. Nature Genetics: doi: /ng.

Disclaimers. Molecular pathology of brain tumors. Some aspects only. Some details are inevitably personal opinions

Tumours of the Central Nervous System (CNS) Molecular Information Reporting Guide

Systemic Treatment. Third International Neuro-Oncology Course. 23 May 2014

Tumors of the Nervous System

CNS pathology Third year medical students. Dr Heyam Awad 2018 Lecture 12: CNS tumours 2/3

Case Presentation: USCAP Jason T. Huse, MD, PhD Assistant Member Department of Pathology Memorial Sloan Kettering Cancer Center

Oligodendroglioma: Toward Molecular Definitions in Diagnostic Neuro-Oncology

BCR ABL1 like ALL: molekuliniai mechanizmai ir klinikinė reikšmė. IKAROS delecija: molekulinė biologija, prognostinė reikšmė. ASH 2015 naujienos

Genomic instability. Amin Mahpour

Genomic complexity and arrays in CLL. Gian Matteo Rigolin, MD, PhD St. Anna University Hospital Ferrara, Italy

Corporate Medical Policy

Cytogenetics 101: Clinical Research and Molecular Genetic Technologies

WHO 2016 CNS TUMOR CLASSIFICATION UPDATE. Arie Perry, M.D. Director, Neuropathology

Looking Beyond the Standard-of- Care : The Clinical Trial Option

H3F3A K27M Mutation in Pediatric CNS Tumors. A Marker for Diffuse High-Grade Astrocytomas

Clinical Grade Genomic Profiling: The Time Has Come

Genomic Medicine: What every pathologist needs to know

Molecular Markers. Marcie Riches, MD, MS Associate Professor University of North Carolina Scientific Director, Infection and Immune Reconstitution WC

SYSTEMIC MANAGEMENT OF PEDIATRIC PRIMARY BRAIN TUMORS

Molecular prognostic factors in glioblastoma: state of the art and future challenges. Author Proof

Pharmacologic inhibition of histone demethylation as a therapy for pediatric brainstem glioma

SALSA MLPA probemix P315-B1 EGFR

10/2/17. MELTUMP, SAMPUS, AST.An Algorithmic Approach to Challenging (Often Borderline) Melanocytic Tumors. An Introduction to SNP Arrays

MRC-Holland MLPA. Description version 05; 03 April 2019

SureSelect Cancer All-In-One Custom and Catalog NGS Assays

Computer Science, Biology, and Biomedical Informatics (CoSBBI) Outline. Molecular Biology of Cancer AND. Goals/Expectations. David Boone 7/1/2015

Nature Genetics: doi: /ng Supplementary Figure 1. Depths and coverages in whole-exome and targeted deep sequencing data.

Update on Spitzoid and Blue nevus-like melanocytic lesions Emphasis on molecular studies informing diagnosis, prognosis and therapy

Molecular Markers in Acute Leukemia. Dr Muhd Zanapiah Zakaria Hospital Ampang

patients in the era of

Do acgh analysis have a place in routine cytogenetic workup in leukemia/cancer? - A single institution experience. Cambridge, April 9 th 2013

Celebrating 20 years of the Database Joint UKCCG and CHO Annual Conference. 22 nd -23 rd March 2012 Newcastle upon Tyne

Molecular pathology of paediatric central nervous system tumours

Molecular Testing in Lung Cancer

Addressing the challenges of genomic characterization of hematologic malignancies using microarrays

Genomic Methods in Cancer Epigenetic Dysregulation

DNA methylation signatures for 2016 WHO classification subtypes of diffuse gliomas

General: Brain tumors are lesions that have mass effect distorting the normal tissue and often result in increased intracranial pressure.

J Clin Oncol 29: by American Society of Clinical Oncology INTRODUCTION

Objectives. Morphology and IHC. Flow and Cyto FISH. Testing for Heme Malignancies 3/20/2013

PROCARBAZINE, lomustine, and vincristine (PCV) is

Advances in Brain Tumor Research: Leveraging BIG data for BIG discoveries

Peter Canoll MD. PhD.

Chromosomal Aberrations

Synovial Sarcoma. Dr. Michelle Ghert Dr. Rajiv Gandhi

Identification and clinical detection of genetic alterations of pre-neoplastic lesions Time for the PML ome? David Sidransky MD Johns Hopkins

Novel Oncogenic Drivers in Pediatric Gliomagenesis

Personalised cancer care Information for Medical Specialists. A new way to unlock treatment options for your patients

SALSA MLPA Probemix P014-B1 Chromosome 8 Lot B and B

Novel treatments for SCC Andrés Felipe Cardona, MD MS PhD.

PRINCESS MARGARET CANCER CENTRE CLINICAL PRACTICE GUIDELINES

Transcription:

Genomic analysis of childhood High grade glial (HGG) brain tumors Linda D Cooley Children s Mercy, Kansas City The Children s Mercy Hospital, 2017

Genomic analysis of childhood High grade glial (HGG) brain tumors IRB approved retrospective study Funded by a Children s Mercy Cancer Center grant October 2016-September 2018 Authors declare no conflicts

Pediatric High Grade Glial Tumors High grade gliomas (HGG) comprise ~8 12% of primary pediatric CNS tumors. HGG are aggressive tumors classified by the World Health Organization (WHO) as grade III or IV. Tumor histology - spectrum - with hypercellularity, nuclear atypia, high mitotic activity, plus/minus microvascular proliferation and necrosis. Outcomes remain dismal - 5-year survival ranges from 15 to 35%. Key to improving survival - better understanding of tumor biology. Genetic data show pediatric HGG are distinct from adult HGG.

Specific aims of study 1. Interrogate archival HGG brain tumors for copy number aberrations, loss of heterozygosity, and select somatic mutations using the Affymetrix Oncoscan microarray. 2. Review data from previous clinical Pathology, Cytogenetic, and Molecular reports and review patient Medical Records for clinical characteristics. 3. Correlate genetic alterations with histopathological findings and clinical characteristics.

Archival HGG brain tumors Tumor samples - selected & reviewed by Neuropathologist 42 FFPE samples from CMH archives (1998-2016) 33 unique patients; 4 patients had recurrent tumor resections 2 autopsy and 31 surgical samples

Pathology Pathology 16 supratentorial, 4 infratentorial (cerebellum), 13 midline (brainstem, thalamus, basal ganglia) WHO tumor grade: Grade III (AA) -15 Grade IV (GBM) 18 Gender 15 male : 18 female patients Patient age range 5 months - 17 years Average age 9.7 yrs; median age 10 yr

Methods Affymetrix Oncoscan Molecular Inversion Probe technology DNA isolated using Promega Maxwell RSC FFPE kit Sanger sequencing Microarray analyzed using Affymetrix ChAS software and Biodiscovery Nexus Express software Review previous clinical chromosome, FISH, molecular results Medical records review & data collection by data manager Limited statistical analysis

Chromosomes and microarray 25/33 (76%) tumors had chromosome analysis 7 had no chromosomes ordered, 1 failure 20/25 (80%) had abnormal karyotype 5 normal karyotype 1 had BRAF-KIAA1549 duplication only 33/33 (100%) tumors had abnormal microarray

Number of cases Oncoscan whole chromosome / chromosome arm Copy Number aberrations / LOH 18 16 14 12 10 8 6 4 2 0 1q 2 5p 5q 6p 6q 7 9p 10p 10q 12 13q 17p 18 Gain Loss LOH

Copy Number Aberrations (Percent) Adult Pediatric TCGA/WHO Current Bax 2010 Paugh 2010 1q gain 9 48 (33) 19 (63) 29 (68) chr 7 gain 74 36 19 15 17p LOH/loss ~30 mut 42-13 10q loss 50-70 36 16 38 16q loss 7 6 17.5 22 13q loss 8-12 mut 30-34 CDKN2A del up to 60 42 16 19 PDGFRA amp 13 9 16 12 EGFR amp 35-45 6-3 10

Genomic profiles (as define by Bax, etal. Clin Cancer Res 2010) 3 (9%) Stable genome few (<3), low level, focal changes 7 (21%) Amplifier amplification 8 (24%) Aneuploid large, single copy alterations of whole chromosomes or chromosome arms 15 (46%) Rearranged numerous, low-level, intrachromosomal breaks resulting in multiple gains & losses and a highly rearranged genome

Genomic subtypes of pediatric high-grade glioma have prognostic relevance (Bax). Dorine A. Bax et al. Clin Cancer Res 2010;16:3368-3377

Genome classification vs age, location, grade Stable younger, supratentorial, grade III Aneuploid older, supratentorial, grade III Rearranged older, supratentorial, grade IV Amplifier older, midline, grade IV

Stable genome 3/33 (9%) Stable genome 1 with BRAF-KIAA1549 duplication fusion 1 with htz 9p loss & hmz CDKN2A/B loss 1 with ROS1-GOPC deletion fusion - activation of RTK ROS1 Younger age (5, 6, 15 mo), 2 of 3 supratentorial, 2 of 3 WHO grade III Survival 0, 4, 5 mo Death average survival 3 months

Aneuploid genome favorable 8/33 (24%) Aneuploid LOH/loss 1p Gain 1q, 5p, 7, 12, 19p, 20 1 with ROS1-GOPC deletion fusion Older age, supratentorial location, WHO grade III Death of two pts at 4 mo & 39 mo Survival 6 patients alive @ 13, 9, 6 years, 21, 17, & 7 months average survival 4.7 years

Rearranged genome unfavorable 15/33 (46%) Rearranged LOH 17p Loss 17p,13q, 5q, 9p, 22q, 6q, 8p, 10, 11p, 14q, 18p Gain 1q, 7 Older age, supratentorial location, WHO grade IV Surv 0, 1, 5, 5, 10, 11, 11, 18, 18, 20, 22 months Three patients alive at 7, 24, 42 months, & one patient at 14 years Death of 11 average survival 15 months

Amplifier genome unfavorable 7/33 (21%) Amplifier LOH 17p Loss 10, 11p, 14 Gain 7, 1q, 6p, 8, 12, 21 Amplified genes / regions PDGFRA (4q), CCND1 (11q), CDK4 (12q), 1 with MDM4 (1q), EGFR (7p), MYC (8q), CCND2 (12p) Regions 1p36.13, 3p23p26, 5p13p12, 10q25, 11q13.5q14.1 Older age, midline location, WHO grade IV Death of 5 average survival 7.4 months; two patients alive at 7 months

Amplified genes Case 15 Case 10 PDGFRA CCND1 CDK4 PDGFRA 18

Amplified genes Case 18 Case 32 EGFR EGFR MYC CCND2 MDM4 19

Amplified genes / regions Case 1 Case 31 Case 5 PDGFRA 5p13.1p12 3p 1p - ARHGEF10L 20

Somatic mutations detected by Oncoscan microarray high confidence calls Grade III Anaplastic astrocytoma Grade Age Som mut Survival III 22 mo BRAF Alive 6+ y III 14 yr BRAF Alive ~2 y III 13 yr BRAF Alive 13 y III 15 yr EGFR Alive 7 mo III 5 yr EGFR Alive 7 mo III 12 yr TP53, IDH1 Alive 9 yr Grade IV - Glioblastoma Grade Age Som mut Survival IV 5 yr EGFR 9 mo IV 8 yr EGFR 1 mo IV 8 yr EGFR 11 mo IV 15 mo TP53 4 mo IV 10 yr TP53 1 mo IV 10 yr TP53 5 mo IV 12 yr TP53 Alive 7mo IV 13 yr TP53 11 mo IV 14 yr TP53, IDH1 18 mo IV 14 yr TP53 10 mo

Methylation profiling has identified 6 epigenetically distinct subgroups of GBM Methylation K27 G34 IDH RTK-1 Mesenchymal PXA-like Age Young child Adolescent YA Adult YA All Adolescent YA Young child location Recurrent oncogenic drivers Approx med survival Midline, infratentorial H3 K27, TP53 ATRX PDGFRA ACVR1 FGFR1 mutations Supratentorial Supratentorial Supratentorial Supratentorial supratentorial H3 G34, TP53, ATRX mutations IDH1 or IDH2, TP53, ATRX mutations PDGFRA amp, TP53 mut, CDKN2A/B del, EGFR amp NF1, TP53 mutations CDKN2A/B del EGFR amp PDGFRA amp BRAF V600E CDKN2A del 6 months 1 year > 2 years 1 year 1 year >4 years Expression Proneural Mixed Proneural Proneural Mesenchymal Unknown Modified from Figure 2, Gajjar, J Clin Oncol 2015

Tumor site 4/9 midline tumors H3 K27M mutated Sex Age Grd H3 K27M 17p TP53 Thalamus M 10 y IV Pos LOH mut Other Amplified PDGFRA; triploid Survival 1 mo Thalamus F 12 y IV Pos LOH 6q, 10q, 14 loss, hmz PTEN loss 0 mo Thalamus F 5 y III Pos LOH Amplified 3p22p26, 5p12p13.1; +2,+7,-10 alive 7mo Pons F 5 y IV Pos Loss 1q gain; 10q loss; hypodiploid 5 mo Thalamus M 15 y III Neg -- amplified MDM4, EGFR, MYC, CCND2; 9p, 14 loss; 12p gain alive 7 mo Basal ganglia M 4 y III Neg -- ROS1-GOPC deletion fusion alive 17 m Thalamus F 8 y IV Neg -- 1q, 12p gain; 6q, 9p, 10 loss 1 mo Basal ganglia F 6 m III Neg -- ROS1-GOPC deletion fusion 5 mo Thalamus F 5 y IV Neg LOH Amplified EGFR; 1q gain; 6q, 10, 14 loss 9 mo

Survival - age 24

Survival - tumor location

Survival WHO Grade III vs Grade IV

Ongoing study Further analysis Correlate clinical characteristics and additional pathologic characteristics with the genomic data Additional somatic mutation analysis If possible, whole exome sequencing Collaboration with other pediatric institutions 27

Collaborators Melissa Gener Kevin Ginn Lei Zhang Elena Repnikova John Herriges Midhat Farooqi Vincent Staggs Eugenio Taboada Jessica Nick Tara Bendorf Scott Smith Robin Ryan Stephanie Fiedler Kris Lawrence Children s Mercy Cancer Center 28