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The authors are grateful to their NYU Langone Medical Center colleagues Matija Snuderl, MD, for contributing illustrated cases of cytogenetics analysis and methylation array; Cyrus Hedvat, MD, PhD, for providing an illustrated case of loss of heterozygosity analysis; and Elad Mashiach for assisting with the preparation of images and diagrams, and the editing of the chapter.
Glioma classification and grading have traditionally been based on the histomorphology of the tumors. Recent advances have identified new molecular markers with diagnostic, prognostic, and/or predictive (ie, therapeutic) significance ( Box 4.1 , Table 4.1 ). Since the publication of the World Health Organization (WHO) guidelines in 2007, there has been a rapid expansion of molecular data on central nervous system (CNS) tumors that has improved clinicians’ diagnostic, prognostic, and therapeutic abilities. Although most of this information has not yet been translated into tangible clinical advances, many changes have been implemented in the revised WHO guidelines for the classification of tumors of the CNS (2016) for gliomas. This chapter reviews recently identified genetic markers that have had a significant impact on the molecular classification of gliomas. Many have been shown to be essential in better diagnosing CNS tumors, reliably determining the prognosis, and allowing better clinical management. Based on the revised WHO classification, each tumor type is discussed separately, accompanied by the relevant molecular profiles.
The National Institutes of Health Biomarkers Definitions Working Group defined a biomarker as “a characteristic that is objectively measured and evaluated as an indicator of normal biological processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention.” Biomarkers in gliomas have been investigated particularly for their use in identifying patients with a disease or a disease subtype (diagnostic biomarkers), stratifying the patients’ prognoses and natural history of the disease (prognostic biomarkers), and identifying patients who may achieve a particular outcome based on a particular treatment and attempting to personalize clinical treatment (predictive biomarkers). Several of the biomarkers discussed in this chapter have distinct roles as diagnostic, prognostic and/or predictive biomarkers, and these are discussed in the text and summarized in Table 4.1 and Figs. 4.1 and 4.5 .
Gene/Phenotype a | Gene Family/Alternative Name | Chromosomal Location | Driver Gene b | Typical Mutation c | Copy Number Alteration | Translocation Partner | Detection Method | Adult Glioma Tumor Type | Pediatric Glioma Tumor Type | Biomarker Clinical Utility | References |
---|---|---|---|---|---|---|---|---|---|---|---|
Chromosomal | |||||||||||
— | — | 1p/19q | — | — | Codeletion | — | FISH, LOH, MLPA, 450K-MA | OD, AOD | — | Diag, Prog, Pred (chemo + radiotherapy) | |
CIC | Transcription repressor | 19q13.2 | TSG | R215Q/W | Del | — | IHC (loss of staining), others | OD, AOD | — | Diag, Prog | |
FUBP1 | DNA-binding protein | 1p31.1 | TSG | Many | Del | — | IHC (loss of staining), others | OD, AOD | — | Diag, Prog | |
— | — | 7 or 7q | — | — | Single copy gain | — | FISH, others | DA, AA, GBM | — | — | |
— | — | 10 or 10q | — | — | Single copy loss | — | FISH, others | GBM | — | — | |
Genetic | |||||||||||
ACVR1 | RSTK | 2q23-q24 | TSG | Few | — | — | qRT-PCR, Seq | — | Midline HGG, DIPG | — | |
BRAF | RAF kinase | 7q34 | ONC | V600E | — | — | MS-IHC, qRT-PCR, Seq | PXA, EGBM | PA, PXA, cortical HGG | Diag | |
BRAF | — | — | — | — | Amp | KIAA1549, others | FISH, others; qRT-PCR, Seq | PA | PA, PMA | Diag | |
CDKN2A | Kinase inhibitor/p14, p16 | 9p21 | TSG | — | Del | — | FISH, MLPA, 450K-MA | OD, AOD, DA, AA, GBM | PXA | — | |
CDKN2B | Kinase inhibitor | 9p21 | — | — | Del | — | FISH, MLPA, 450K-MA | OD, AOD, DA, AA, GBM | PXA | — | |
EGFR | RTK | 7p12 | ONC | — | Amp | SEPT14 | FISH, others; qRT-PCR, Seq | Classic GBM | Cortical HGG | Diag | |
EGFR | — | — | — | EGFRvIII, A289D/T/V | — | — | MS-IHC, qRT-PCR, Seq | Classic GBM | — | Diag | |
FGFR1 | RTK/CD331 | 8p11.23-p11.22 | — | K656E | — | TACC1 | qRT-PCR, Seq; FISH, others | — | PA, midline HGG/DIPG | — | |
FGFR3 | RTK/CD333 | 4p16.3 | ONC | — | — | TACC3 | FISH, qRT-PCR, Seq | GBM | — | — | |
IDH1 | Dehydrogenase | 2q34 | ONC | R132H, others | — | — | MS-IHC, qRT-PCR, Seq | OD, AOD, DA, AA, GBM | Cortical HGG | Diag, Prog | |
IDH2 | Dehydrogenase | 15q26.1 | ONC | R172K, others | — | — | qRT-PCR, Seq | OD, AOD, DA, AA, GBM | — | Diag, Prog | |
MDM2 | Ubiquitin protein ligase | 12q13-q14 | ONC | Few | Amp | — | FISH, MLPA, 450K-MA | GBM | — | — | |
MDM4 | p53 regulator | 1q32 | ONC | Few | Amp | — | FISH, MLPA, 450K-MA | GBM | — | — | |
MET | RTK | 7q31 | ONC | — | Amp | — | FISH, MLPA, 450K-MA | GBM | — | — | |
MYC | Transcription factor | 8q24 | ONC | — | Amp | — | FISH, MLPA, 450K-MA | Astrocytoma, GBM | — | — | |
NF1 | RAS negative regulator | 17q11.2 | TSG | Many | Del | — | qRT-PCR, Seq; FISH, others | Mesenchymal GBM | PA, midline HGG | — | |
NOTCH1 | receptor | 9q34.3 | TSG | F357del | Amp | — | qRT-PCR, Seq; FISH, others | OD | — | — | |
NTRK2 | RTK | 9q22.1 | — | — | Amp | QKI | FISH, others; qRT-PCR, Seq | — | PA, non-brainstem HGG | — | |
PDGFRA | RTK/CD140a | 4q12 | ONC | Many | Amp | KDR | qRT-PCR, Seq; FISH, others | Proneural GBM | Midline HGG, DIPG | Prog | |
PIK3CA | PI3 kinase | 3q26.3 | ONC | H1047L/R/Y | Amp | — | qRT-PCR, Seq; FISH, others | OD, AOD, GBM | Midline HGG, DIPG | — | |
PIK3R1 | Regulatory subunit of PI3 kinase | 5q13.1 | TSG | G376R | Del | — | qRT-PCR, Seq; FISH, others | OD, AOD, GBM | Midline HGG, DIPG | — | |
PTEN | Phosphatase | 10q23 | TSG | R130 d /Q | Del | — | qRT-PCR, Seq; FISH, others | Astrocytoma, classical GBM | — | Prog | |
PTPN11 | Phosphatase | 12q24.1 | ONC | Many | — | — | qRT-PCR, Seq | — | PA | — | |
RB1 | Ligand | 13q14.2 | TSG | R445 d , X445_splice | Del | — | qRT-PCR, Seq; FISH, others | Mesenchymal GBM | — | — | |
TERT | Telomerase | 5p15.33 | — | Promoter | — | — | qRT-PCR, Seq | OD, AOD, astrocytoma, GBM | — | Diag, Prog | |
TP53 | Transcription factor | 17p13.1 | TSG | R273C/H/L, R248Q/W | — | — | (IHC), qRT-PCR, Seq | Astrocytoma, GBM | Midline/cortical HGG | — | |
Epigenetic | |||||||||||
ATRX | Chromatin remodeler | Xq21.1 | TSG | F2113fs | — | — | IHC (loss of staining), others | DA, AA, GBM | Cortical HGG | Diag, Prog | |
DAXX | Chromatin remodeler | 6p21.3 | TSG | — | Amp | — | FISH, MLPA, 450K-MA | — | Cortical HGG | — | |
HIST1H3B | Histone | 6p22.2 | ONC | H3.1 K27M | — | — | qRT-PCR, Seq | — | Midline HGG, DIPG | Diag, Prog | |
H3F3A | Histone | 1q42.12 | ONC | H3.3 K27M | — | — | MS-IHC, qRT-PCR, Seq | Midline HGG, DIPG | Midline HGG, DIPG | Diag, Prog | |
H3F3A | Histone | 1q42.12 | ONC | H3.3 G34R/V | — | — | MS-IHC, qRT-PCR, Seq | — | Cortical HGG | Diag, Prog | |
MGMT | DNA cysteine MT | 10q26 | Promoter methylation | — | — | MS-PCR, 450K-MA | GBM | — | Prog, Pred (temozolomide) | ||
SETD2 | Histone lysine MT | 3p21.31 | TSG | Many | Del | — | qRT-PCR, Seq; FISH, others | — | Cortical HGG | — | |
TET2 | Demethylase | 4q24 | TSG | Few | — | — | qRT-PCR, Seq | GBM | — | — | |
Phenotypic | |||||||||||
2-HG | 2-hydroxyglutarate | — | — | — | — | — | MRS, mass spectrometry | OD, AOD, DA, AA, GBM | — | — | |
G-CIMP | Glioma–CpG island methylator phenotype | — | — | — | — | — | 450K-MA | OD, AOD, DA, AA, GBM | — | — |
a Gene symbols, gene families, and chromosomal locations according to the Human Genome Organisation Gene Nomenclature Committee ( www.genenames.org ) and Catalogue of Somatic Mutations in Cancer ( cancer.sanger.ac.uk ).
b Driver genes that contain driver gene mutations as defined by Vogelstein and colleagues.
c Gene mutations and copy number alterations based on the Merged Cohort of LGG and GBM (The Cancer Genome Atlas [TCGA], 2016) database (1102 samples) generated by TCGA Research Network ( http://www.cbioportal.org/index.do ). In addition, the translocation partners for BRAF, EGFR, FGFR1, NTRK2, and PDGFRA are listed.
Adult diffuse gliomas are infiltrating glial neoplasms that include astrocytomas and oligodendrogliomas. In the 2007 edition of the WHO Classification of Tumours of the Central Nervous System , these entities were diagnosed and classified as grade II (diffuse) or grade III (anaplastic) based on histologic features. In cases in which a morphologic distinction between these two entities was not clear, a diagnosis of oligoastrocytoma was appropriate. Following major advances in our understanding of molecular gliomagenesis, the revised WHO Classification of Tumours of the Central Nervous System (2016) has refined the diagnostic criteria for astrocytomas and oligodendrogliomas by incorporating clinically relevant molecular information about the mutation status of isocitrate dehydrogenase 1/2 ( IDH1/2 ), and alpha thalassemia/mental retardation syndrome X-linked ( ATRX ) genes and codeletion of chromosome arms 1p and 19q. After an initial IDH mutation, oligodendrogliomas are thought to develop via subsequent telomerase reverse transcriptase ( TERT ) promoter mutations and codeletion of 1p/19q, whereas IDH -mutant astrocytomas develop with subsequent alterations of TP53 and/or ATRX. The diagnosis of oligoastrocytoma is now strongly discouraged ( Fig. 4.1 ).
Point mutations in cytosolic IDH1 and mitochondrial IDH2 most commonly by substitution of arginine to histidine (R132H) or to lysine (R172K), respectively, alter their catalytic activity such that they produce high levels of the oncometabolite 2-hydroxyglutarate (2-HG), instead of α-ketoglutarate. The presence of 2-HG results in disruption of tet methylcytosine dioxygenase 2 (TET2) activity, leading to aberrant histone regulation and development of the glioma–CpG island methylator phenotype (G-CIMP).
G-CIMP is an epigenetic molecular profile that was noted and named after the observation of a subset of gliomas within The Cancer Genome Atlas (TCGA) database that showed concerted hypermethylation at a large number of loci. In general, CIMP gliomas are lower-grade, often IDH -mutated, tumors. Mutation of IDH is the molecular basis for the G-CIMP phenotype. Overall, IDH -mutant, G-CIMP high infiltrating gliomas are associated with a favorable prognosis compared with IDH wild-type tumors. IDH status is an even stronger predictor of patient outcome than histologic grade in infiltrating gliomas.
IDH mutations can be detected by immunohistochemical analysis of formalin-fixed, paraffin-embedded (FFPE) tissue using the IDH1 R132H mutant-specific antibody ( Fig. 4.2 A, B ). Direct Sanger sequencing, although requiring more tissue specimens, has the advantage over immunohistochemistry (IHC) of not only detecting IDH1 R132H but also detecting other noncanonical IDH mutations. This technique is highly sensitive, but is limited because the specimens must contain at least 50% neoplastic cells to ensure reliability. Another method, pyrosequencing, has a higher sensitivity than Sanger sequencing because it can detect as little as 10% mutant alleles. Moreover, clinical efforts have been undertaken to determine whether IDH mutations can be detected indirectly, and magnetic resonance spectroscopy has been proposed as a reliable technique to achieve this goal by detecting the levels of 2-HG.
Diffuse astrocytomas are now defined based on their IDH status as (1) diffuse astrocytoma, IDH mutant (most common); (2) diffuse astrocytoma, IDH wild-type or (3) diffuse astrocytoma, not otherwise specified (NOS; given when IDH testing is unavailable or inconclusive). A characteristic feature of IDH -mutated astrocytomas is the presence of a mutation in ATRX and frequent mutation of TP53 (see Fig. 4.1 ; Fig. 4.2 ).
ATRX is a nuclear chromatin remodeling protein that is encoded by the ATRX gene on chromosome Xq21.1. Loss-of-function mutations in ATRX are associated with alterations in replication and activation of the alternative lengthening of telomeres (ALT) pathway. In diffuse gliomas, ATRX mutation is a useful marker for astrocytic differentiation, and is frequently seen in combination with mutations of IDH and TP53 . In contrast, IDH -mutant, 1p/19q codeleted oligodendrogliomas only rarely harbor concurrent mutations in ATRX to the point that they are considered to be mutually exclusive. For these reasons, IHC or sequencing for ATRX has a role both in confirming a diagnosis of astrocytoma and in ruling out a diagnosis of oligodendroglioma ( Fig. 4.2 C, D). IHC is sensitive and able to detect 82% to 89% of mutants that are detectable by sequencing. Importantly, although they often exist in tandem, the presence of an ATRX mutation does not confirm the presence of a concurrent IDH mutation. The prognostic implications of ATRX mutation are limited, and are mostly related to increased accuracy in the diagnosis of diffuse gliomas as astrocytic versus oligodendroglial. In non–1p/19q-codeleted gliomas, ATRX mutation has been associated with better treatment outcomes.
Changes to the diagnostic criteria of oligodendroglioma and anaplastic oligodendroglioma include the requirement of both an IDH mutation and a 1p/19q codeletion (see Fig. 4.1 ). There are 4 distinct types of oligodendroglioma tumors: (1) IDH mutant and 1p/19q codeleted, (2) NOS, (3) anaplastic IDH mutant and 1p/19q codeleted, and (4) anaplastic NOS (when only classic histology is available). The diagnosis of oligodendroglioma NOS should only be given after further analysis excludes potential diagnoses such as dysembryoplastic neuroepithelial tumor, clear cell ependymoma, neurocytoma, pilocytic astrocytoma, and several other tumor types that are histologically similar to oligodendroglioma.
Loss of 1p/19q has more than just a diagnostic significance. It has been associated with a favorable prognosis and an increased sensitivity to chemotherapy. Moreover, 1p/19q-codeleted anaplastic oligodendrogliomas that show polysomy for chromosomes 1p and 19q have intermediate survival between 1p/19q-retained tumors and 1p/19q-codeleted oligodendrogliomas in a euploid background. Codeletion of 1p/19q can be detected by fluorescence in situ hybridization (FISH), loss of heterozygosity (LOH) capillary gel electrophoresis, or as a change in copy number in the 450K CpG methylation array (450K-MA) results ( Figs. 4.3 and 4.4 A ). However, only FISH allows the enumeration of absolute numbers of chromosomes and determination of ploidy status.
Several other recurrent molecular alterations can be found in oligodendrogliomas. CIC (Capicua transcriptional repressor), a gene that resides in chromosome 19q, plays a pivotal role in regulating RAS (rat sarcoma oncogene)/MAPK (mitogen-activated protein kinase) signaling. Somatic mutations in CIC are present in as many as 69% of oligodendrogliomas. FUBP1 (far-upstream element binding protein) is a gene located on chromosome 1p. It has been suggested that inactivating somatic mutations in this gene (along with CIC ) are also associated with the development of oligodendroglioma. Tumors with such alterations seem to cluster with 1p/19q-codeleted oligodendrogliomas. Recent work has identified that TERT is overexpressed in oligodendrogliomas (see Fig. 4.1 ). Oligodendrogliomas are therefore now recognized to contain at least 4 different recurrent molecular genetic correlates: IDH mutation, 1p/19q loss, CIC mutation, and TERT promoter mutation. Mutations in the NOTCH1 gene (discussed later) were also observed in 31% of oligodendrogliomas.
Glioblastomas are high-grade, infiltrative astrocytomas with atypical nuclei, mitotic activity, extensive vascular proliferation, and/or necrosis. According to the revised WHO classification of CNS tumors, glioblastomas can be molecularly classified as IDH wild-type, IDH -mutant glioblastomas or NOS (see Fig. 4.1 ). Histologic IDH wild-type variants include giant cell ( Fig. 4.2 E, F), gliosarcoma, and the newly described epithelioid glioblastoma. About 90% of glioblastomas (usually primary) present as IDH wild-type; glioblastomas are found to be IDH mutated in about 10% of cases, and these are most often secondary glioblastomas that have progressed from lower-grade IDH -mutant gliomas.
Recent efforts to molecularly subclassify glioblastomas based on genetic and epigenetic expression profiling have consistently identified the classical, mesenchymal and proneural subtypes characterized by epidermal growth factor receptor ( EGFR ) amplification, neurofibromin 1 ( NF1 ) loss, and platelet-derived growth factor receptor A ( PDGFRA ) amplification, respectively. Notably, the proneural subtype was also associated with IDH1/2 mutations, G-CIMP phenotype as well as TP53 mutations. Additional mutations in histone H3F3A-K27 and H3F3A-G34 have defined epigenetic subgroups of glioblastoma in young adult (and pediatric) patients, which are addressed later.
IDH -mutated glioblastomas typically arise in younger patients following secondary transformation of a lower-grade astrocytoma. As such, the molecular features in IDH -mutant glioblastomas are often similar to those seen in IDH -mutant diffuse or anaplastic astrocytomas. IDH -mutant glioblastomas often harbor concurrent ATRX and TP53 mutations. Despite their high-grade histology, IDH -mutant glioblastomas show clinical behavior similar to that seen in lower-grade IDH -mutant astrocytomas. In contrast, IDH wild-type glioblastomas most commonly present as de novo tumors arising in patients older than 55 years. These tumors not only show vast histomorphologic heterogeneity but also harbor a wide variety of genetic alterations (see Fig. 4.1 ; Fig. 4.4 C). Data from TCGA show frequent alterations in 3 core signaling pathways: the CDK4/6-p16 INK4a -RB1-E2F, p14 ARF -MDM2-MDM4-p53, and RTK-RAS-PI3K pathways. These pathways and their common associated alterations are discussed below.
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