Abstract
Recent discoveries of brain tumor-related genes and fast advances in genomic testing technologies have led to the era of molecular diagnosis of brain tumor. Molecular profiling of brain tumor became the significant step in the diagnosis, the prediction of prognosis and the treatment of brain tumor. Because traditional molecular testing methods have limitations in time and cost for multiple gene tests, next-generation sequencing technologies are rapidly introduced into clinical practice. Targeted sequencing panels using these technologies have been developed for brain tumors. In this article, focused on pediatric brain tumor, key discoveries of brain tumor-related genes are reviewed and cancer panels used in the molecular profiling of brain tumor are discussed.
Since the end of the Human Genome Project, a number of genomic studies of human disease such as The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium have been activated [25]. Such large scale genome studies were enabled by the development of massively parallel sequencing technology, also known as next-generation sequencing (NGS), which can rapidly generate high-throughput data with low per-base cost [5,40].
In addition, targeted anti-cancer therapy has been highlighted with the discovery of cancer driver genes [32,67]. Such clinical needs, in turn, prompted the development of sequencing technologies and cancer genome studies. TCGA, the large scale cancer genome study consortium, started its three-year pilot project in 2006, especially about glioblastoma and now completed the characterization of 33 cancer types including 10 rare cancers [7].
The acceleration of genomic studies in the field of brain tumor led to the discovery of key genes in brain tumor development, such as isocitrate dehydrogenase (IDH), H3F3A, and alpha thalassemia/mental retardation syndrome X-linked (ATRX) [52,64]. In addition, these genes have been found to be deeply involved in the diagnosis and prognosis of brain tumor.
Brain tumor is the most common type of solid cancer in children. Over the past decade, molecular research on brain tumors has made unprecedented progress in pediatric brain tumors. Unique genomic and epigenomic alterations are continuously discovered according to the patients’ age, tumor grade, and histologic differences of brain tumors in large-scale global collaborative studies. In addition, the therapeutic paradigm is changing as targeted therapies are developed to correct the genetic abnormalities, prompting a new sub-classification of brain tumors. In 2016, the new World Health Organization (WHO) classification of central nervous system (CNS) tumors incorporated the genetic abnormalities into the classification and diagnosis of the tumor [38]. Therefore, some tumors must undergo molecular testing, which is essential for accurate diagnosis. Sometimes multiple tests are required for each patient, so multiplex panel tests using NGS method have begun to be used in clinical settings to meet the reasonable turnaround time and the price.
In this article, the important genetic abnormalities involved in brain tumors, especially in pediatric brain tumors, are reviewed and the existing brain tumor panels are analyzed to suggest the optimal design of the pediatric brain tumor panel.
Gliomas are the most common CNS tumors in children and adolescents [81]. Children’s gliomas are mostly low-grade, classified as grade 1 or grade 2 according to the WHO classification of CNS tumors and appear to be slowly growing lesions. Low grade glioma (LGG) in children is fundamentally different from those of adult which are characterized by IDH mutation and have generally good prognosis. Gliomas are currently not fully cured, despite efforts to utilize all currently available treatment. Therefore, the purpose of the treatment of LGGs, which is pursued by neurosurgeons, pediatric oncologists and radiation therapists, is to improve the quality of life of patients and prevent long-term sequelae.
Among gliomas, the newly included tumors in the WHO classification revised in 2016 is the diffuse midline glioma, H3 K27M-mutant, a broad-spectrum central glioma within the astrocytictumor category [38]. RELA fusion-positive ependymoma was classified as a new subtype of supratentorial ependymoma.
In the newly revised WHO classification in 2016, pilocytic astrocytoma (PA), pleomorphic xanthoastrocytoma (PXA), subependymal giant cell astrocytomas are belonging to the “other astrocytic tumor”. About 50% of optic pathway PA and about 4% of cerebellar PA occurs in families with mutations in the neurofibromatosis type 1 (NF1) gene and the rest occurs sporadically [24]. In these gliomas, the most common somatic point mutation is BRAF V600E mutation causing BRAF activation, which is also observed in 33% of ganglioglioma, 70% of PXA, and approximately 15% of pediatric LGG [4,60]. The 70% of PA showed one copy gain of BRAF gene, by the fusion between BRAF gene and KIAA1549 gene located on chromosome 7q34 [58,80]. As a result of overactivation of MEK and ERK genes in the down-stream of BRAF signaling pathway, gliomagenesis is known to occur [31]. BRAF gene duplication is known to occur in more than 80% of PA of posterior fossa and 22% of the pilomyxoid astrocytoma [16]. Other BRAF fusion partners (FAM131B, SRGAP3, MACF1, RNF130, CLCN6, MRKN1, and GNAI1) result in equally strong BRAF activation through the loss of the N-terminal of autoregulatory domain [73]. However, the effect of specific BRAF abnormalities on the prognosis is unclear [81]. In one study of 146 childhood PAs, BRAF-KIAA1549 fusion was associated with a good prognosis while other studies do not show any association with prognosis [74].
The mutations of other genes, including FGFR1, MYB, MYBL1, and ATRX, have been identified through whole exome sequencing (WES) of these gliomas [55].
Gliomas with histone H3 K27M mutation, formerly called infiltrating brainstem or pontine glioma have been named as “diffuse midline glioma, H3 K27M-mutation” in the revised WHO classification [30,33]. These tumors are classified as astrocytic and oligodendroglial tumor category and are classified as WHO grade IV glioma of the pediatric population, which occur in the midline of CNS, such as thalamus, pons and spinal cord. It has been shown that high grade gliomas in children have genetic abnormalities and gene expressions different from adults and their prognosis is different [29,68]. In 2014, Histone gene mutation was found to be a driver mutation through WES [33,71,76]. This tumor usually differentiates into astrocytes and is morphologically similar to WHO grade IV human astrocytoma. In addition to H3 K27M mutation, the mutation of TP53 (50%), PPM1D (15%), ACVR1 (20%), PDGFRA (10%), and SMARCA4/B (<5% of cases) can be present [44,68].
It is known that the genetic aberration of ependymoma varies depending on the tumor site of the CNS and the biology of the tumor follows genetic characteristics [50,77]. Although the morphology of the lesion may be identical, it can be divided into three groups according to the location of the tumor because the gene abnormality is different [50].
About 70% of cases of supratentorial ependymomas are characterized by RELA-C11orf95 fusion and 30% by YAP1 gene fusion [43,77]. It is known that the LAMA2 overexpression group show worse prognosis than NELL2 overexpression group among the cases of posterior fossa ependymomas [1,46]. In the spinal cord, familial ependymomas are known to associate with NF1 gene mutation, while the other spinal cord ependymomas do not show any specific mutation but it is known that they show three types of copy number variation [50].
This C11orf95-RELA fusion ependymoma is a new genetic subtype of the supratentorial ependymoma which has been newly included in the 2016 WHO classification. The C11orf95-RELA gene fusion, which is one of the genetic features of the ependymomas above the tent, is associated with the activation of NF-κB pathway [1,51]. The partner gene can be a gene other than C11orf95. The grade of this tumor follows a pathologic grade that is evaluated according to existing morphologic features, but the prognosis is worse in the case of RELA fusion than YAP fusion [43,51].
Thirteen tumors belong to mixed neuronal-glial tumors, including dysembryoplastic neuroepithelial tumor, ganglion cell tumor, papillary glioneuronal tumor, rosette-forming glioneuronal tumor, central neurocytoma, extraventricular neurocytoma, cerebellar liponeurocytoma and paraganglioma.
Diffuse leptomeningeal glioneuronal tumor was newly included in the revised 2016 WHO classification.
It is known that approximately 20–43% of neuroepithelial neoplams and ganglioglioma show BRAF V600E mutation and the frequency of this mutation increases with the degree of malignancy [31,51]. BRAF V600E mutation is related to the use of a targeted therapeutic agent for this mutation, such as vemurafenib. The BRAF V600E mutation also has been reported to be associated with the worse prognosis of ganglioglioma [39,81].
There are few reported cases of diffuse leptomeningeal glioneuronal tumors (DLGNT). WHO grade has not yet been established in this tumor [20].
A recent report showed the presence of BRAF duplication in about 44% and BRAF V600E mutation in about 11% [15]. Other aberrations in MAPK/ERK pathways including RAF1, FGFR1, NF1, and MYB or MYBL1 were also reported [81]. Low grade nature of DLGNT was reported, but cases having nuclear atypia, high Ki-67 index and glomerular vascular proliferation may show bad prognosis [11].
The most significant change in the revised 2016 WHO classification is the CNS embryonal tumor, previously referred to as the CNS primitive neuroectodermal tumor (CNS PNET). The reason for the change in the name of the tumor is to prevent confusion with the extracranial PNETs, such as Ewing sarcoma. Among CNS embryonal tumors, medulloblastoma (MB) is classified according to the combination of tumor genetics and morphological subtype [38]. Embryonal tumor with multilayered rosettes (ETMR; chromosome 19 microRNA cluster [C19MC] altered, and not otherwise specified [NOS]) is newly added to the 2016 WHO classification, which is characterized by gene amplification at the site of the microRNA clusters on chromosome 19 [38,69].
However, if morphologically CNS PNET, described above, is not genetically clear, it is classified as “CNS embryonal tumor, NOS”. ETMR can strongly express Lin28 or show the amplification of C19MC locus on 19q13.42 chromosome region or both [69,70].
MB is the most common embyonal tumor of the CNS and is common in children. Most occur in the cerebellum but exceptionally, WNT activated tumors can occur in the dorsal brainstem [22]. In accordance with the known genetic abnormalities and morphologic features, it is classified by two classification systems, i.e., genetically determined and morphologically determined classification [38].
Genetic MB classification is composed of WNT-activated, Sonic Hedgehog (SHH)-activated, group 3 and group 4. CTNNB1 mutation and monosomy 6 are the characteristics of WNT subtype [18]. The germline or somatic mutation of the TP53 gene is observed in SHH-activated MB, but not observed in the WNT-activated MB or group 3 and group 4 MBs [69]. The SHH MB with TP53 gene mutation is known to have a poor prognosis [82].
In contrast, group 3 and group 4 MBs are immunohistochemically and molecular-genetically overlapped and they show copy number variations in variable chromosomal loci [53]. In many hospitals, these two groups are classified as non-WNT/non-SHH groups because group 3 and group 4 cannot be easily categorized by conventional laboratory tests. Tumors with either MYC or NMYCN gene amplification or anaplastic/large cell type have poorprognosis [82]. Generally, group 3 has the worst prognosis [19,53]. If there are cerebrospinal metastases, the prognosis is poor and the recurrence is common [2,53]. MB with extensive nodularity usually has a good prognosis [9]. If genetic testing is not possible or the results are ambiguous, it can be diagnosed as MB, NOS.
In order to genetically classify MBs, originally it is necessary to examine the mutation of several genes and chromosome copy number variation. Currently, immunohistochemistry can be used to classify MB [72]. However, it is not easy to interpret the immunoreactivity and match with genetic subgroup.
This tumor is one of the malignant CNS tumors. It is composed of multiple layers of rosettes and broad neuropil, and also has genetic characteristics of C19MC in chromosomal band 19q13.42 amplification or fusion with Tweety family member 1 (TTYH1) gene [35,47]. This can be confirmed by fluorescence in situ hybridization (FISH). These tumors are very rare and can occur in the cerebrum, brain stem, and cerebellum.
If the tumor is morphologically compatible but has not undergone genetic tests or has no abnormality of this gene by the molecular test, it is diagnosed as an “embryonal tumor with multilayered rosettes, NOS”. This tumor is a very rapidly growing WHO grade IV tumor with a poor prognosis, and the average survival time with the current treatment is 12 months (reported up to 24–36 months), and the relationship between the gene alteration and the prognosis should be studied [37].
Most of the tumors diagnosed as “CNS-PNET” in the past are now diagnosed as “CNS embryonal tumor, NOS”. These tumors are very rare CNS neuroepithelial tumor with poor differentiation, and the specific morphological features or classifiable genetic abnormalities of these tumors have not yet been revealed [26,38]. Most of these tumors express Lin28 immunohistochemically [69,70]. The prognosis of this tumor is very poor (WHO grade IV), and worse than that of the MB [3].
AT/RT are characterized by the mutation of SMARCB1 (95%) or SMARCA4 (about 2%) genes [23]. When the mutation of those genes is not examined or this mutation is not found in spite of compatible histology, it is diagnosed as “CNS embryonal tumor with rhabdoid features”.
A rare case of a malignant neoplasm characterized by atypical morphology and rhabdoid features with acquisition of the secondary SMARCB1 mutations in PXA and GG was reported [65].
CNS Germ cell tumor (GCT) has been known to have a common chromosomal abnormality 12p redundancy, i(12p), which was found in studies of malignant testicular tumors [14]. The most common cytogenetic abnormality in extragonadal germinomas is the 12p overlap [61]. However, specific genes on i(12p) associated with the development of GCT are not known.
Cytogenetic abnormalities as driver mutations in childhood GCT include the loss of 1p and 6q, the changes in sex chromosomes, and 12p abnormalities with some gains [62]. The most common chromosomal imbalance is an increase in the X chromosome, as well as an increase in 1p, 8p, and 12q, and a loss in 13q and 18q [62]. The most frequent gene abnormality in CNS GCTs is XXY, similar to Klinefelter syndrome which tends to develop GCTs in the intracranium [49].
In the intracranial pure germinomas, mutations of KIT/RAS gene were frequently detected, and mutations in the KIT gene exones 11, 13, and 17 as well as KIT amplification were found in 23–25% of intracranial GCTs [63]. It is thought to contribute to the development of GCTs. MYC or MYCN amplification can be observed in a small number of GCTs [21].
In the yolk sac tumor (YST), chromosome 1p36 gain, 6q loss and chromosome 1 and chromosome 20 abnormalities have been reported [41]. In addition, i(12p), which is characteristic of other malignant GCTs of testis and ovary, can be detected [12,54]. Embryonal carcinoma and choriocarcinoma show similar cytogenetic abnormalities, i(12p) [64,65].
There has been a great progress in the understanding of molecular characteristics of brain tumors by genome-wide study, such as WES and whole genome sequencing (WGS) [10,48]. However, targeted NGS panel composed of limited number of genes is required for the routine clinical practice of brain tumor diagnosis and treatment. For the clinical NGS test of brain tumors, we should consider the spectrum of sequencing panel (pancancer panel or organ-specific panel), target enrichment method (hybrid capture or amplicon sequencing), type of tissues (fresh frozen [FF] or formalin-fixed paraffin-embedded [FFPE] tissues) and gene contents [27]. The summary of targeted NGS panels used for brain tumors in recent publications is shown in Table 1. There are three types of panel : pan-cancer, brain tumor-specific and glioma-specific panel.
Pan-cancer panels and organ-specific panels have pros and cons. Pan-cancer panels are usually composed of more than 300 genes of major oncogenes, tumor suppressor genes and druggable genes frequently altered in various type of cancers. Because of large target region, pan-cancer panels show better performance in copy number alterations (CNA]. However, pan-cancer panels usually require more time and cost. Moreover, genes solely mutated in certain type of cancer with rare frequency, such as HIST1H3B or HIST1H3C are not covered by pan-cancer panels. Organ-specific panels consist of lower number of genes than pan-cancer panel, so we can reduce the time and cost for the NGS test. In addition, organ-specific panel covers cancer type-specific genes with rare mutation rate. However, organ-specific panel have limitations in the clinical trial enroll and CNA analysis.
Because the target region of NGS panel is smaller than 1% of human genome, we should enrich the region of interest in the genome. There are two types of target enrichment method, which are hybrid capture and amplicon method. Hybrid capture method uses DNA or RNA baits complementary to target sequences. The baits are hybridized to target sequences, and collected by magnetic beads. Amplicon sequencing method enriches target sequences by PCR amplification. Hybrid capture method is suitable for NGS panels with more than 50 genes as well as comprehensive genomic analysis including single nucleotide variation (SNV), indel, CNA and structural variation. However, hybrid capture method takes longer hands-on time and turn-around time, and usually requires more than 200 ng of genomic DNA. Amplicon sequencing method has easier workflow, short turnaround time and requires small amount of genomic DNA (more than 20 ng]. However, amplicon sequencing is usually used for NGS panels composed of less than 50 genes, and has a limit to CNA analysis.
FFPE tissue is widely used in the histological diagnosis due to the preservation of morphology, fast tissue preparation, and low cost for storage. However, FFPE tissue has several issues in molecular testing, such as the fragmentation of DNA, crosslinking, and cytidine deamination. For those reasons, DNA extracted from FF is preferred in NGS test. However, several commercially available DNA extraction kit for FFPE yield high quality of DNA from FFPE tissues [34]. So, both of FF and FFPE tissues can be used in clinical NGS test. When the test was performed with FFPE tissues, C to T transition with low variant allele frequency could be false-positive call caused by cytidine deamination. Enzymatic removal of deaminated cytosine by UDP glucuronyl transferase can reduce that error [75].
Selection of gene contents for brain tumor panel is based on the classification of brain tumors and corresponding oncogenic pathways. For the diagnosis and classification of gliomas, IDH1, IDH2 , ATRX, TP53, CIC , FUBP1, BRAF genes and telomerase reverse transcriptase (TERT) promoter are usually included. For the detection of 1p/19q co-deletion in oligodendroglioma, additional genomic regions which exist in 1p or 19q can be included in the panel. To diagnose diffuse midline glioma, H3F3A, HIST1H3B, and HIST1H3C should be tested. For the classification of MB, APC, CTNNB1, TP53, PTCH1, SMO, SUFU, KDM6A, MYC, MYCN genes and TERT promoter can be used. For the diagnosis of AT/RT, SMARCB1 (INI1) and SMARCA4 (BRG1) can be included. For the therapeutic intent, druggable or potentially druggable target such as HER2, ALK, MET, ROS1, KIT, PDGFRA, FGFR1, FGFR3, BRAF can be included in NGS panel.
For now, targeted NGS panel for brain tumors has several limitations. First, reliable detection of copy number alteration is limited due to uneven target coverage, the absence of matched normal data, or the lack of coverage uniformity [34]. Second, nucleotide sequences with high GC content such as TERT promoter usually show lower depth of coverage [17]. Third, exact classification of MB and ependymoma based on NGS panel test is limited because of the classification of those tumors are mainly based on transcriptome and methylome analysis [9,50].
The molecular abnormalities of pediatric brain tumors and current status of targeted brain cancer panels were reviewed. Due to the completion of the human genome project and the development of gene abnormality testing techniques, the revolution of genomic tests for human diseases are actively underway. Even if morphologically tumors are belonging to the same group, it is found that the prognosis and response to the treatment depend on the gene abnormality. Therefore, pathologic diagnosis has been transformed into the integrated diagnosis reflecting the gene abnormality in the revised 2016 WHO classification of CNS tumors. Brain cancer panel using targeted sequencing will be helpful to such integrated diagnosis and target therapies to cure diseases.
ACKNOWLEDGMENTS
This study was supported by the grant of the Korea Health Technology R & D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare (grant number : HI14C1277) and the National Research Foundation of Korea (NRF) grants, funded by the Ministry of Science and ICT (2015M3A9A7067220), Republic of Korea.
References
1. Araki A, Chocholous M, Gojo J, Dorfer C, Czech T, Heinzl H, et al. Chromosome 1q gain and tenascin-C expression are candidate markers to define different risk groups in pediatric posterior fossa ependymoma. Acta Neuropathol Commun. 4:88. 2016.
2. Bai RY, Staedtke V, Rudin CM, Bunz F, Riggins GJ. Effective treatment of diverse medulloblastoma models with mebendazole and its impact on tumor angiogenesis. Neuro Oncol. 17:545–554. 2015.
3. Bavle AA, Lin FY, Parsons DW. Applications of genomic sequencing in pediatric CNS tumors. Oncology (Williston Park). 30:411–423. 2016.
4. Behling F, Barrantes-Freer A, Skardelly M, Nieser M, Christians A, Stockhammer F, et al. Frequency of BRAF V600E mutations in 969 central nervous system neoplasms. Diagn Pathol. 11:55. 2016.
5. Bentley DR, Balasubramanian S, Swerdlow HP, Smith GP, Milton J, Brown CG, et al. Accurate whole human genome sequencing using reversible terminator chemistry. Nature. 456:53–59. 2008.
6. Blumenthal DT, Dvir A, Lossos A, Tzuk-Shina T, Lior T, Limon D, et al. Clinical utility and treatment outcome of comprehensive genomic profiling in high grade glioma patients. J Neurooncol. 130:211–219. 2016.
7. Cancer Genome Atlas Research Network. Comprehensive genomic characterization defines human glioblastoma genes and core pathways. Nature. 455:1061–1068. 2008.
8. Carter JH, McNulty SN, Cimino PJ, Cottrell CE, Heusel JW, Vigh-Conrad KA, et al. Targeted next-generation sequencing in molecular subtyping of lower-grade diffuse gliomas: application of the World Health Organization’s 2016 revised criteria for Central Nervous System Tumors. J Mol Diagn. 19:328–337. 2017.
9. Cavalli FMG, Remke M, Rampasek L, Peacock J, Shih DJH, Luu B, et al. Intertumoral heterogeneity within medulloblastoma subgroups. Cancer Cell. 31:737–754.e6. 2017.
10. Ceccarelli M, Barthel FP, Malta TM, Sabedot TS, Salama SR, Murray BA, et al. Molecular profiling reveals biologically discrete subsets and pathways of progression in diffuse glioma. Cell. 164:550–563. 2016.
11. Cho HJ, Myung JK, Kim H, Park CK, Kim SK, Chung CK, et al. Primary diffuse leptomeningeal glioneuronal tumors. Brain Tumor Pathol. 32:49–55. 2015.
12. Cornejo KM, Cheng L, Church A, Wang M, Jiang Z. Chromosome 12p abnormalities and IMP3 expression in prepubertal pure testicular teratomas. Hum Pathol. 49:54–60. 2016.
13. Dal Cin P, Dei Tos AP, Qi H, Giannini C, Furlanetto A, Longatti PL, et al. Immature teratoma of the pineal gland with isochromosome 12p. Acta Neuropathol. 95:107–110. 1998.
14. de Bruin TW, Slater RM, Defferrari R, Geurts van Kessel A, Suijkerbuijk RF, Jansen G, et al. Isochromosome 12p-positive pineal germ cell tumor. Cancer Res. 54:1542–1544. 1994.
15. Dodgshun AJ, SantaCruz N, Hwang J, Ramkissoon SH, Malkin H, Bergthold G, et al. Disseminated glioneuronal tumors occurring in childhood: treatment outcomes and BRAF alterations including V600E mutation. J Neurooncol. 128:293–302. 2016.
16. Dougherty MJ, Santi M, Brose MS, Ma C, Resnick AC, Sievert AJ, et al. Activating mutations in BRAF characterize a spectrum of pediatric lowgrade gliomas. Neuro Oncol. 12:621–630. 2010.
17. Dubbink HJ, Atmodimedjo PN, Kros JM, French PJ, Sanson M, Idbaih A, et al. Molecular classification of anaplastic oligodendroglioma using nextgeneration sequencing: a report of the prospective randomized EORTC Brain Tumor Group 26951 phase III trial. Neuro Oncol. 18:388–400. 2016.
18. Ellison DW, Dalton J, Kocak M, Nicholson SL, Fraga C, Neale G, et al. Medulloblastoma: clinicopathological correlates of SHH, WNT, and non-SHH/WNT molecular subgroups. Acta Neuropathol. 121:381–396. 2011.
19. Gajjar A, Pfister SM, Taylor MD, Gilbertson RJ. Molecular insights into pediatric brain tumors have the potential to transform therapy. Clin Cancer Res. 20:5630–5640. 2014.
20. Gardiman MP, Fassan M, Orvieto E, D’Avella D, Denaro L, Calderone M, et al. Diffuse leptomeningeal glioneuronal tumors: a new entity? Brain Pathol. 20:361–366. 2010.
21. Gessi M, Zur Muehlen A, Lauriola L, Gardiman MP, Giangaspero F, Pietsch T. TP53, beta-Catenin and c-myc/N-myc status in embryonal tumours with ependymoblastic rosettes. Neuropathol Appl Neurobiol. 37:406–413. 2011.
22. Gibson P, Tong Y, Robinson G, Thompson MC, Currle DS, Eden C, et al. Subtypes of medulloblastoma have distinct developmental origins. Nature. 468:1095–1099. 2010.
23. Hasselblatt M, Gesk S, Oyen F, Rossi S, Viscardi E, Giangaspero F, et al. Nonsense mutation and inactivation of SMARCA4 (BRG1) in an atypical teratoid/rhabdoid tumor showing retained SMARCB1 (INI1) expression. Am J Surg Pathol. 35:933–935. 2011.
24. Helfferich J, Nijmeijer R, Brouwer OF, Boon M, Fock A, Hoving EW, et al. Neurofibromatosis type 1 associated low grade gliomas: a comparison with sporadic low grade gliomas. Crit Rev Oncol Hematol. 104:30–41. 2016.
25. Hood L, Rowen L. The Human Genome Project: big science transforms biology and medicine. Genome Med. 5:79. 2013.
26. Hoshide R, Jandial R. 2016 World Health Organization classification of central nervous system tumors: an era of molecular biology. World Neurosurg. 94:561–562. 2016.
27. Jennings LJ, Arcila ME, Corless C, Kamel-Reid S, Lubin IM, Pfeifer J, et al. Guidelines for validation of next-generation sequencing-Based oncology panels: a joint consensus recommendation of the Association for Molecular Pathology and College of American Pathologists. J Mol Diagn. 19:341–365. 2017.
28. Johnson A, Severson E, Gay L, Vergilio JA, Elvin J, Suh J, et al. Comprehensive genomic profiling of 282 pediatric low- and high-grade gliomas reveals genomic drivers, tumor mutational burden, and hypermutation signatures. Oncologist. 22:1478–1490. 2017.
29. Joyon N, Tauziède-Espariat A, Alentorn A, Giry M, Castel D, Capelle L, et al. K27M mutation in H3F3A in ganglioglioma grade I with spontaneous malignant transformation extends the histopathological spectrum of the histone H3 oncogenic pathway. Neuropathol Appl Neurobiol. 43:271–276. 2017.
30. Kallappagoudar S, Yadav RK, Lowe BR, Partridge JF. Histone H3 mutations--a special role for H3.3 in tumorigenesis? Chromosoma. 124:177–189. 2015.
31. Karajannis MA, Legault G, Fisher MJ, Milla SS, Cohen KJ, Wisoff JH, et al. Phase II study of sorafenib in children with recurrent or progressive low-grade astrocytomas. Neuro Oncol. 16:1408–1416. 2014.
32. Keedy VL, Temin S, Somerfield MR, Beasley MB, Johnson DH, McShane LM, et al. American Society of Clinical Oncology provisional clinical opinion : epidermal growth factor receptor (EGFR) Mutation testing for patients with advanced non-small-cell lung cancer considering first-line EGFR tyrosine kinase inhibitor therapy. J Clin Oncol. 29:2121–2127. 2011.
33. Khuong-Quang DA, Buczkowicz P, Rakopoulos P, Liu XY, Fontebasso AM, Bouffet E, et al. K27M mutation in histone H3.3 defines clinically and biologically distinct subgroups of pediatric diffuse intrinsic pontine gliomas. Acta Neuropathol. 124:439–447. 2012.
34. Kim J, Park WY, Kim NKD, Jang SJ, Chun SM, Sung CO, et al. Good laboratory standards for clinical next-generation sequencing cancer panel tests. J Pathol Transl Med. 51:191–204. 2017.
35. Kleinman CL, Gerges N, Papillon-Cavanagh S, Sin-Chan P, Pramatarova A, Quang DA, et al. Fusion of TTYH1 with the C19MC microRNA cluster drives expression of a brain-specific DNMT3B isoform in the embryonal brain tumor ETMR. Nat Genet. 46:39–44. 2014.
36. Kline CN, Joseph NM, Grenert JP, van Ziffle J, Talevich E, Onodera C, et al. Targeted next-generation sequencing of pediatric neuro-oncology patients improves diagnosis, identifies pathogenic germline mutations, and directs targeted therapy. Neuro Oncol. 19:699–709. 2017.
37. Korshunov A, Sturm D, Ryzhova M, Hovestadt V, Gessi M, Jones DT, et al. Embryonal tumor with abundant neuropil and true rosettes (ETANTR), ependymoblastoma, and medulloepithelioma share molecular similarity and comprise a single clinicopathological entity. Acta Neuropathol. 128:279–289. 2014.
38. Louis DN, Perry A, Reifenberger G, von Deimling A, Figarella-Branger D, Cavenee WK, et al. The 2016 World Health Organization classification of tumors of the central nervous system: a summary. Acta Neuropathol. 131:803–820. 2016.
39. Masui K, Mischel PS, Reifenberger G. Molecular classification of gliomas. Handb Clin Neurol. 134:97–120. 2016.
41. Mostert M, Rosenberg C, Stoop H, Schuyer M, Timmer A, Oosterhuis W, et al. Comparative genomic and in situ hybridization of germ cell tumors of the infantile testis. Lab Invest. 80:1055–1064. 2000.
42. Movassaghi M, Shabihkhani M, Hojat SA, Williams RR, Chung LK, Im K, et al. Early experience with formalin-fixed paraffin-embedded (FFPE) based commercial clinical genomic profiling of gliomas-robust and informative with caveats. Exp Mol Pathol. 103:87–93. 2017.
43. Nambirajan A, Malgulwar PB, Sharma MC, Singh A, Pathak P, Satyarthee GD, et al. C11orf95-RELA fusion present in a primary intracranial extraaxial ependymoma: report of a case with literature review. Neuropathology. 36:490–495. 2016.
44. Nikbakht H, Panditharatna E, Mikael LG, Li R, Gayden T, Osmond M, et al. Spatial and temporal homogeneity of driver mutations in diffuse intrinsic pontine glioma. Nat Commun. 7:11185. 2016.
45. Nikiforova MN, Wald AI, Melan MA, Roy S, Zhong S, Hamilton RL, et al. Targeted next-generation sequencing panel (GlioSeq) provides comprehensive genetic profiling of central nervous system tumors. Neuro Oncol. 18:379–387. 2016.
46. Nobusawa S, Hirato J, Yokoo H. Molecular genetics of ependymomas and pediatric diffuse gliomas : a short review. Brain Tumor Pathol. 31:229–233. 2014.
47. Nobusawa S, Orimo K, Horiguchi K, Ikota H, Yokoo H, Hirato J, et al. Embryonal tumor with abundant neuropil and true rosettes with only one structure suggestive of an ependymoblastic rosette. Pathol Int. 64:472–477. 2014.
48. Northcott PA, Buchhalter I, Morrissy AS, Hovestadt V, Weischenfeldt J, Ehrenberger T, et al. The whole-genome landscape of medulloblastoma subtypes. Nature. 547:311–317. 2017.
49. Okada Y, Nishikawa R, Matsutani M, Louis DN. Hypomethylated X chromosome gain and rare isochromosome 12p in diverse intracranial germ cell tumors. J Neuropathol Exp Neurol. 61:531–538. 2002.
50. Pajtler KW, Witt H, Sill M, Jones DT, Hovestadt V, Kratochwil F, et al. Molecular classification of ependymal tumors across all CNS compartments, histopathological grades, and age groups. Cancer Cell. 27:728–743. 2015.
51. Parker M, Mohankumar KM, Punchihewa C, Weinlich R, Dalton JD, Li Y, et al. C11orf95-RELA fusions drive oncogenic NF-κB signalling in ependymoma. Nature. 506:451–455. 2014.
52. Parsons DW, Jones S, Zhang X, Lin JC, Leary RJ, Angenendt P, et al. An integrated genomic analysis of human glioblastoma multiforme. Science. 321:1807–1812. 2008.
53. Pietsch T, Haberler C. Update on the integrated histopathological and genetic classification of medulloblastoma - a practical diagnostic guideline. Clin Neuropathol. 35:344–352. 2016.
54. Poulos C, Cheng L, Zhang S, Gersell DJ, Ulbright TM. Analysis of ovarian teratomas for isochromosome 12p: evidence supporting a dual histogenetic pathway for teratomatous elements. Mod Pathol. 19:766–771. 2006.
55. Qaddoumi I, Orisme W, Wen J, Santiago T, Gupta K, Dalton JD, et al. Genetic alterations in uncommon low-grade neuroepithelial tumors: BRAF, FGFR1, and MYB mutations occur at high frequency and align with morphology. Acta Neuropathol. 131:833–845. 2016.
56. Ramkissoon SH, Bandopadhayay P, Hwang J, Ramkissoon LA, Greenwald NF, Schumacher SE, et al. Clinical targeted exome-based sequencing in combination with genome-wide copy number profiling: precision medicine analysis of 203 pediatric brain tumors. Neuro Oncol. 19:986–996. 2017.
57. Rickert CH, Simon R, Bergmann M, Dockhorn-Dworniczak B, Paulus W. Comparative genomic hybridization in pineal germ cell tumors. J Neuropathol Exp Neurol. 59:815–821. 2000.
58. Roth JJ, Santi M, Pollock AN, Harding BN, Rorke-Adams LB, Tooke LS, et al. Chromosome band 7q34 deletions resulting in KIAA1549-BRAF and FAM131B-BRAF fusions in pediatric low-grade gliomas. Brain Pathol. 25:182–192. 2015.
59. Sahm F, Schrimpf D, Jones DT, Meyer J, Kratz A, Reuss D, et al. Nextgeneration sequencing in routine brain tumor diagnostics enables an integrated diagnosis and identifies actionable targets. Acta Neuropathol. 131:903–910. 2016.
60. Schindler G, Capper D, Meyer J, Janzarik W, Omran H, Herold-Mende C, et al. Analysis of BRAF V600E mutation in 1,320 nervous system tumors reveals high mutation frequencies in pleomorphic xanthoastrocytoma, ganglioglioma and extra-cerebellar pilocytic astrocytoma. Acta Neuropathol. 121:397–405. 2011.
61. Schneider DT, Schuster AE, Fritsch MK, Calaminus G, Harms D, Göbel U, et al. Genetic analysis of childhood germ cell tumors with comparative genomic hybridization. Klin Padiatr. 213:204–211. 2001.
62. Schneider DT, Zahn S, Sievers S, Alemazkour K, Reifenberger G, Wiestler OD, et al. Molecular genetic analysis of central nervous system germ cell tumors with comparative genomic hybridization. Mod Pathol. 19:864–873. 2006.
63. Schulte SL, Waha A, Steiger B, Denkhaus D, Dörner E, Calaminus G, et al. CNS germinomas are characterized by global demethylation, chromosomal instability and mutational activation of the Kit-, Ras/Raf/Erk- and Akt-pathways. Oncotarget. 7:55026–55042. 2016.
64. Schwartzentruber J, Korshunov A, Liu XY, Jones DT, Pfaff E, Jacob K, et al. Driver mutations in histone H3.3 and chromatin remodelling genes in paediatric glioblastoma. Nature. 482:226–231. 2012.
65. Schweizer Y, Meszaros Z, Jones DTW, Koelsche C, Boudalil M, Fiesel P, et al. Molecular transition of an adult low-grade brain tumor to an atypical teratoid/rhabdoid tumor over a time-course of 14 years. J Neuropathol Exp Neurol. 76:655–664. 2017.
66. Silver SA, Wiley JM, Perlman EJ. DNA ploidy analysis of pediatric germ cell tumors. Mod Pathol. 7:951–956. 1994.
67. Soda M, Choi YL, Enomoto M, Takada S, Yamashita Y, Ishikawa S, et al. Identification of the transforming EML4-ALK fusion gene in non-smallcell lung cancer. Nature. 448:561–566. 2007.
68. Solomon DA, Wood MD, Tihan T, Bollen AW, Gupta N, Phillips JJ, et al. Diffuse midline gliomas with histone H3-K27M mutation: a series of 47 cases assessing the spectrum of morphologic variation and associated genetic alterations. Brain Pathol. 26:569–580. 2016.
69. Spence T, Perotti C, Sin-Chan P, Picard D, Wu W, Singh A, et al. A novel C19MC amplified cell line links Lin28/let-7 to mTOR signaling in embryonal tumor with multilayered rosettes. Neuro Oncol. 16:62–71. 2014.
70. Sturm D, Orr BA, Toprak UH, Hovestadt V, Jones DTW, Capper D, et al. New brain tumor entities emerge from molecular classification of CNSPNETs. Cell. 164:1060–1072. 2016.
71. Sturm D, Witt H, Hovestadt V, Khuong-Quang DA, Jones DT, Konermann C, et al. Hotspot mutations in H3F3A and IDH1 define distinct epigenetic and biological subgroups of glioblastoma. Cancer Cell. 22:425–437. 2012.
72. Taylor MD, Northcott PA, Korshunov A, Remke M, Cho YJ, Clifford SC, et al. Molecular subgroups of medulloblastoma: the current consensus. Acta Neuropathol. 123:465–472. 2012.
73. Tomić TT, Olausson J, Wilzén A, Sabel M, Truvé K, Sjögren H, et al. A new GTF2I-BRAF fusion mediating MAPK pathway activation in pilocytic astrocytoma. PLoS One. 12:e0175638. 2017.
74. Trabelsi S, Chabchoub I, Ksira I, Karmeni N, Mama N, Kanoun S, et al. Molecular diagnostic and prognostic subtyping of gliomas in tunisian population. Mol Neurobiol. 54:2381–2394. 2017.
75. Wong SQ, Li J, Tan AY, Vedururu R, Pang JM, Do H, et al. Sequence artefacts in a prospective series of formalin-fixed tumours tested for mutations in hotspot regions by massively parallel sequencing. BMC Med Genomics. 7:23. 2014.
76. Wu G, Broniscer A, McEachron TA, Lu C, Paugh BS, Becksfort J, et al. Somatic histone H3 alterations in pediatric diffuse intrinsic pontine gliomas and non-brainstem glioblastomas. Nat Genet. 44:251–253. 2012.
77. Wu J, Armstrong TS, Gilbert MR. Biology and management of ependymomas. Neuro Oncol. 18:902–913. 2016.
78. Yu IT, Griffin CA, Phillips PC, Strauss LC, Perlman EJ. Numerical sex chromosomal abnormalities in pineal teratomas by cytogenetic analysis and fluorescence in situ hybridization. Lab Invest. 72:419–423. 1995.
79. Zacher A, Kaulich K, Stepanow S, Wolter M, Kohrer K, Felsberg J, et al. Molecular diagnostics of gliomas using next generation sequencing of a glioma-tailored gene panel. Brain Pathol. 27:146–159. 2017.
80. Zhang C, Berney DM, Hirsch MS, Cheng L, Ulbright TM. Evidence supporting the existence of benign teratomas of the postpubertal testis: a clinical, histopathologic, and molecular genetic analysis of 25 cases. Am J Surg Pathol. 37:827–835. 2013.
Table 1.
Study | Number of tested genes | Number of patients | Sample type | Tumor type used in study | Target enrichment method | Spectrum of panel | Name of panel |
---|---|---|---|---|---|---|---|
Blumenthal et al. (2016) [6] | 236, 315 | 43 | FFPE | Glioma | Hybrid capture | Pan-cancer | FoundationOne |
Dubbink et al. (2016) [17] | 12 | 139 | FFPE | Glioma | Amplicon | Glioma-specific | |
Nikiforova et al. (2016) [45] | 30 | 54 | FF, FFPE | Glioma and non-glioma | Amplicon | Glioma and non-glioma | GlioSeq |
Sahm et al. (2016) [59] | 130 | 150 | FFPE | Glioma and non-glioma | Hybrid capture | Glioma and non-glioma | |
Carter et al. (2017) [8] | 25, 151, 99, 131 | 50 | FFPE | Glioma | Hybrid capture | Pan-cancer | Comprehensive cancer gene set |
Johnson et al. (2017) [28] | 315 | 282 | FFPE | Glioma | Hybrid capture | Pan-cancer | FoundationOne |
Kline et al. (2017) [36] | 510 | 31 | FFPE | Glioma and non-glioma | Hybrid capture | Pan-cancer | UCSF500 Cancer Gene Panel |
Movassaghi et al. (2017) [42] | 315 | 71 | FFPE | Glioma | Hybrid capture | Pan-cancer | FoundationOne |
Ramkissoon et al. (2017) [56] | 300 | 203 | FFPE | Glioma and non-glioma | Hybrid capture | Pan-cancer | OncoPanel |
Zacher et al. (2017) [79] | 20 | 121 | FF, FFPE | Glioma | Amplicon | Glioma-specific |