Jenny Adamski1, Vijay Ramaswamy2, Annie Huang3, Eric Bouffet1. 1. Division of Haematology/Oncology, The Hospital for Sick Children 555 University Avenue Toronto, Ontario M5G 1X8 Canada. 2. Arthur and Sonia Labatt Brain Tumour Research Centre, Brain Tumour Research Centre, TMDT 101 College St., 11-701 Toronto, Ontario M5G 1L7 Canada. 3. Division of Haematology/Oncology, The Hospital for Sick Children 555 University Avenue Toronto, Ontario M5G 1X8 Canada ; Arthur and Sonia Labatt Brain Tumour Research Centre, Brain Tumour Research Centre, TMDT 101 College St., 11-701 Toronto, Ontario M5G 1L7 Canada.
Abstract
Medulloblastoma and central nervous system (CNS)-primitive neuro-ectodermal tumors (PNETs) are a diverse group of entities which encompasses different pathological and clinical pictures. Initially divided based on histology and location, molecular insight is leading to new definitions and a change in the borders delineating these diseases, such that they become more divergent. Current treatment approaches consist of surgical resection, radiotherapy and intensive chemotherapy, dependent on age. Stratification is one risk factor shown to be prognostic and is divided into high- and average-risks. Outcomes with modern treatment regimens are good, particularly in average-risk medulloblastoma patients, but the cost of cure is high, with high rates of neurocognitive, endocrine and social dysfunction. The changing biological landscape, however, may allow for clearer prediction of tumor behavior, to better identify "good" and "bad" players within these groups. Discovery of subgroups with changes in dependent molecular pathways will also lead to the development of new specific targeted therapies. Presenting exciting opportunities, these advances may transform the treatment for some patients, revolutionizing therapy in the future. Several challenges, however, are yet to be faced and caution is needed not to abandon previously defined prognostic factors on the strength of thus far retrospective evidence. We are witnessing a new era of trials with biological stratification involving multiple subgroups and treatment arms, based on specific tumor-related targets. This review discusses the changing face of medulloblastoma and CNS-PNETs and how we move molecular advances into clinical trials that benefit patients.
Medulloblastoma and central nervous system (CNS)-primitive neuro-ectodermal tumors (PNETs) are a diverse group of entities which encompasses different pathological and clinical pictures. Initially divided based on histology and location, molecular insight is leading to new definitions and a change in the borders delineating these diseases, such that they become more divergent. Current treatment approaches consist of surgical resection, radiotherapy and intensive chemotherapy, dependent on age. Stratification is one risk factor shown to be prognostic and is divided into high- and average-risks. Outcomes with modern treatment regimens are good, particularly in average-risk medulloblastomapatients, but the cost of cure is high, with high rates of neurocognitive, endocrine and social dysfunction. The changing biological landscape, however, may allow for clearer prediction of tumor behavior, to better identify "good" and "bad" players within these groups. Discovery of subgroups with changes in dependent molecular pathways will also lead to the development of new specific targeted therapies. Presenting exciting opportunities, these advances may transform the treatment for some patients, revolutionizing therapy in the future. Several challenges, however, are yet to be faced and caution is needed not to abandon previously defined prognostic factors on the strength of thus far retrospective evidence. We are witnessing a new era of trials with biological stratification involving multiple subgroups and treatment arms, based on specific tumor-related targets. This review discusses the changing face of medulloblastoma and CNS-PNETs and how we move molecular advances into clinical trials that benefit patients.
A PNET is a small, blue, round cell tumor comprising primitive, undifferentiated cells of neuro-ectoderm origin. Mainly occurring in children and adolescents, PNETs were initially thought to arise from the same cell of origin and divide in the CNS by location into infra-tentorial and supra-tentorial PNETs [1,2]. The term infratentorial PNET was used synonymously with medulloblastoma, until medulloblastoma was recognized as genetically distinct, rather than just a PNET occurring in the posterior fossa [3]. The current World Health Organization (WHO) classification (2007) divides embryonal tumors into medulloblastoma and CNS-PNETs, not specifying supratentorial in recognition of their occurrence in the posterior fossa, brainstem and spinal cord, not just above the tentorium [2]. Atypical teratoid rhabdoid tumors (ATRTs), although within the umbrella of embryonal tumors, are distinguishable based on INI1/SMARCB1 negative staining and are not the subject of this review. Further subdivision of both medulloblastoma and CNS-PNET is currently based on histological features. Advances in molecular genomics have allowed identification of distinct medulloblastoma subgroups [4-7]. By 2012 a consensus arose to classify four subgroups of medulloblastoma based on their transcriptional profile [8]. Characterization of these subgroups continues to evolve, and groups can now be described in terms of epidemiology, clinical features, histology, cell of origin, location within the posterior fossa, behavior, response to treatment and prognosis. Similar analyses of CNS-PNETs showed three subgroups which are molecularly and clinically distinct [9]. Although less well characterized, these subgroups of CNS-PNET collate patients in a way that defines their clinical behavior and may lead to dramatic changes in the management of CNS-PNET.Currently, treatment for both medulloblastoma and CNS-PNETs is based on age and risk group. Children older than 3–4 years are treated with surgery, radiotherapy and chemotherapy, based on their risk defined by the presence of metastatic disease, residual disease or histology. Infants and young children under 3–4 years old are treated with radiation-sparing approaches involving intensive chemotherapy regimens. CNS-PNETs have historically been treated on medulloblastoma protocols. As the outcomes for this group of patients is worse, they have been automatically stratified to the high-risk arms. With the recognition that it is biology rather than histology that is important when dictating behavior, future trials plan to stratify based on molecular sub-grouping. This review discusses the current management of medulloblastoma and CNS-PNETs, advances in our understanding of the biology of these tumors and what future treatment may look like.
The clinical management today
Medulloblastoma
Medulloblastoma is the most common malignant brain tumor of childhood, accounting for approximately 20% of pediatric brain tumorpatients [10]. It arises in childhood and adolescents, with 70% of patients presenting before 16 years, and has a male preponderance of approximately 65% [2]. Children generally present with headache, early morning vomiting or ataxia. An enhancing heterogeneous posterior fossa mass is detected on imaging, hypointense on T1 weighted magnetic resonance imaging (MRI) scan and hyperintense on T2 weighted MRI scan, with increased diffusion restriction (see Figure 1). More than 75% of tumors arise centrally from the cerebellar vermis, although in older children there is a higher incidence of tumors laterally within the cerebellar hemispheres [2]. Staging is completed with spine imaging and cerebrospinal fluid examination, and classified according to the Chang staging system from non-metastatic disease (M0) to extraneural metastasis (M4 – see Table 1 [11]), with approximately one third of children having metastatic disease at presentation [2]. The 2007 WHO classification recognizes five subtypes; classical medulloblastoma, desmoplastic nodular medulloblastoma, medulloblastoma with extensive nodularity (MBEN), anaplastic medulloblastoma and large cell medulloblastoma [2].
Figure 1.
MRI images of medulloblastoma
T1 weighted magnetic resonance imaging (MRI) images are shown following contrast administration. A) shows an axial image of a 6 year old child with a classical medulloblastoma. B) shows an axial image of an 8 month old child with medulloblastoma with extensive nodularity (MBEN).
Table 1.
The Chang staging system for medulloblastoma
Chang Staging
Description of Staging
M0
No evidence of metastasis
M1
Tumor cells found in cerebrospinal fluid
M2
Intracranial tumor beyond primary site
M3
Gross nodular seeding in spinal subarachnoid space
M4
Metastasis outside the cerebrospinal axis (especially to bone marrow, bone)
MRI images of medulloblastoma
T1 weighted magnetic resonance imaging (MRI) images are shown following contrast administration. A) shows an axial image of a 6 year old child with a classical medulloblastoma. B) shows an axial image of an 8 month old child with medulloblastoma with extensive nodularity (MBEN).Clinical trials have identified clinical prognostic factors that are the foundation on which current treatments are based; age, metastatic status, extent of resection and, more recently, histology. Both favorable biological markers, such as monosomy 6, and unfavorable, such as MYC or MYCN amplification, and isochromosome 17q have been identified [12]. Only the identification of MYC amplification has been prospectively shown to be an independent prognostic factor significant enough to use as a base for future risk stratification [13]. Management is divided into separate approaches for infants and older children.
The management of infant medulloblastoma
Stratification based on age comes as a result of two intertwined factors, the need to treat infants differently and poorer survival in this group of patients. The outcome for infants is significantly poorer than in older children [14]. This may stem from the reluctance to use intensive treatment regimens in babies and the avoidance of radiotherapy, due to the unacceptable neuro-cognitive consequences. Exceptions are infants with MBEN and desmoplastic medulloblastoma, which have excellent survival rates of greater than 80%. Currently infants are treated with radiation-sparing approaches, which have been improved by using dose intensive regimens with or without autologous stem cell rescue [15-19]. These studies attempt to avoid radiation, reserving it for a salvage strategy. Attempts to avoid craniospinal radiation (by substituting focal radiation in infants) resulted in a high rate of distant relapse and failed to demonstrate improved outcome over chemotherapy alone [20]. As the majority of infants do not receive radiotherapy as their first-line treatment, the salvage rate is significant following relapse when compared to older children [17].
The management of medulloblastoma in older children
Treatment in older children is stratified into high- and average-risk groups, depending on clinical prognostic markers. The most significant prognostic factor following age is the presence of metastatic disease, classifying these patients as high-risk. The extent of surgical resection is important and the consensus is that surgery should be as extensive as safely achievable [21]. A residual tumor volume of less than 1.5 cm2 is prognostic, and this figure has been used to stratify patients in recent studies [22]. Its value, however, is only recognized in M0 disease and uncertain in those with metastatic disease. Some protocols also consider histology and include large cell medulloblastoma or diffuse anaplasia as high-risk. The treatment implication is a reduction of craniospinal radiation for average-risk patients in comparison to high-risk patients, and prospective trials have concentrated on reducing this from the full dose of 36 Gy to 23.4Gy [23]. Currently the open randomized Children's Oncology Group trial ACNS0331 is investigating a further reduction to 18Gy [23]. Radiation is followed by platinum-based chemotherapy regimens, either in intensive but conventional schedules or as high-dose therapy with stem cell rescue. These approaches have successfully driven 5-year progression-free survival above 80% in average-risk patients [23,24]. Successful treatment, however, comes at considerable cost. Survivors show endocrine dysfunction, hearing loss, premature aging, increased risk of stroke and secondary malignancy and, most significantly, deterioration in neurocognitive function, which is progressive with time and results in significant intellectual and social dysfunction [25]. Although reduced radiation doses and the increasing use of tumor bed boost instead of the whole posterior fossa boost have lessened the drop in IQ, the deficit remains significant and results in a considerable reduction in the quality of life [26,27]. Proton therapy may in the future minimize the long-term morbidity of craniospinal radiation, particularly in terms of growth, and cardiac and pituitary function, but, as the cranial dose is similar, this may not translate into improved neurocognitive outcome [28]. Limited success has been achieved in the treatment of patients with high-risk disease with 5-year overall survival ranging from 40% to 82% [24,29-32]. Strategies then aim to improve outcomes rather than reduce long-term effects and have included intensifying treatment with higher doses of radiotherapy, hyperfractionation and the use of radio-sensitizers. Recurrent medulloblastoma in older children has a dismal outcome with a salvage rate of <10%, irrespective of the treatment modality used. A hope of cure after relapse is limited to patients where recurrence is localized and amenable to surgical resection, chemo-sensitivity is demonstrated or re-irradiation is possible [33,34].
CNS-PNETs
CNS-PNETs make up approximately 2.5% of brain tumors in pediatric patients [2]. Although mainly situated within the cerebral hemispheres, they occur anywhere within the CNS including the posterior fossa, brain stem and spinal cord. Pineal lesions were once classified under the umbrella of CNS-PNETs but evidence suggests that they are genetically distinct and therefore are now referred to separately as pineoblastoma [2,35]. The 2007 WHO criteria define four subtypes of CNS-PNET: CNS neuroblastoma; CNS ganglioneuroblastoma; medulloepithelioma and ependymoblastoma (see Figure 2). More recently the ETANTR (embryonal tumor with abundant neuropil and true rosettes) has been recognized as a new entity within this subgroup [36]. Outcome across these histological variants is not uniform. ETANTRs and intracranial medulloepithelioma have a particularly poor survival rate, with disease progressing during treatment in many children and a median survival of 9 months [9]. As the molecular definition of CNS-PNETs becomes more refined, biological prognostic factors are being identified. Tumors with increased complexity of genomic copy number abnormalities and chromosome 19 microRNA cluster (C19MC) amplified tumors have a worse outcome [9,37,38]. Because of the rarity of the disease and the histological similarity to medulloblastoma, children with CNS-PNETs have traditionally been treated on protocols alongside medulloblastoma, utilizing surgical resection, craniospinal radiation and chemotherapy. For the purpose of management they can be considered as three different groups: infants with CNS-PNETs or pineoblastoma; older children with CNS-PNETs; and older children with pineoblastoma.
Figure 2.
MRI images of CNS-PNET
T1 weighted magnetic resonance imaging (MRI) images are shown following contrast administration. A) shows an axial image of a 4-year old child with an ETANTR (embryonal tumor with abundant neuropil and true rosettes). B) shows an axial image of an 8-month old child with medulloepithelioma. C) shows an axial image of a 6-year old child with a supratentorial PNET. D) shows a sagittal image of a 9-month old child with pineoblastoma.
MRI images of CNS-PNET
T1 weighted magnetic resonance imaging (MRI) images are shown following contrast administration. A) shows an axial image of a 4-year old child with an ETANTR (embryonal tumor with abundant neuropil and true rosettes). B) shows an axial image of an 8-month old child with medulloepithelioma. C) shows an axial image of a 6-year old child with a supratentorial PNET. D) shows a sagittal image of a 9-month old child with pineoblastoma.Approaches to infants with CNS-PNETs and pineoblastoma are similar to approaches to infantmedulloblastoma. Dose-intensive chemotherapy regimens, including high dose chemotherapy with autologous stem cell rescue, have been used to attempt to avoid or delay radiation [39-42]. Survival, however, remains poor with 3–5 year event-free survival between 0 and 39% and overall survival between 0 and 49% [39,41,42]. Radiation is considered by many to be essential for cure [41-44].Older children with CNS-PNETs comprise a very small group of patients. Treated alongside medulloblastoma their outcome is generally poorer on the same protocols, with 3–5-year event-free survival between 17 and 60% and overall survival between 15 and 73% [39,44-49]. Thus, CNS-PNETs are generally stratified to high-risk arms. Due to the mainly retrospective nature of the data on CNS-PNETs, and the small patient numbers, few prognostic factors have been confirmed and contradictions exist within the literature. The extent of resection has failed to reach significance as a prognostic factor [44,48,49] and metastasis is reported as having a negative impact by some [46], but not all series [39,44]. Despite this, risk stratification based on the extent of surgical resection, the presence of metastasis, and the response to chemotherapy, has enabled successful reduction of craniospinal radiation or implementation of focal radiation in selected patients [45,47].Like CNS-PNET, pineoblastoma in older children are treated as high-risk medulloblastoma. Outcome is found by most to be better in the pineal region than for CNS-PNETs in other sites, with 3–5-year event-free survival between 38% and 69% and overall survival between 61% and 83% [41,46-49]. Surgical resection is often limited by the accessibility of the pineal region. However, even with significant residual disease some patients have been successfully treated with reduced radiation, suggesting a more favorable course and the ability to reduce therapy in selected cases [45].
Where are the boundaries now? Molecular definition of subgroups
There are four accepted subgroups of medulloblastoma (reviewed in [8,50] – see Figure 3, reproduced from [8]) and three suggested subgroups of CNS-PNETs [9]. Differentiated by key transcriptional profiles, each is distinct in terms of genetics, clinical features and behavior.
Figure 3.
Medulloblastoma subgrouping
The current consensus on medulloblastoma subgrouping reproduced from Taylor et al. 2012 [8]. SHH, sonic hedgehog.
Medulloblastoma subgrouping
The current consensus on medulloblastoma subgrouping reproduced from Taylor et al. 2012 [8]. SHH, sonic hedgehog.
WNT medulloblastoma
The WNT group implicates the WNT pathway in the pathogenesis and represents approximately 10% of medulloblastomapatients. They have an activated WNT pathway, primarily through an activating mutation in exon 3 of CTNNB1a, which leads to nuclear accumulation of the WNT pathway effector β-catenin [51]. Intranuclear immunohistochemistry for β-catenin, sequencing of exon 3 of CTNNB1 or identification of monosomy 6 are all used as markers of WNT tumors [51,52]. However, monosomy 6 can also be observed in other subgroups and should not be used in isolation. WNT tumors occur in older children and adolescents, with a sex ratio of 1:1. The majority of patients have classical histology, although large cell anaplastic variants are found [51]. With current treatment approaches, the outcome of WNT medulloblastomapatients is excellent, with survival rates greater than 95% [51,52].
Sonic hedgehog medulloblastoma
The sonic hedgehogmedulloblastoma has somatic alterations within the sonic hedgehog signaling pathway, of which many have been identified including mutations in PTCH1, PTCH2, SUFU, and SMO [53-57]. Amplifications of GLI2 and MYCN are also frequently observed [58]. They make up 30% of medulloblastomas and are distinguished by gene expression profiling or SFRP1 or YAP1 immunohistochemistry [6,13]. Sonic hedgehogtumors have a bimodal age distribution, occurring in infants (<3 years) or adults (>16 years), both groups of which are likely to be genetically distinct with different pathway mutations [59]. Again the sex ratio is 1:1 and disease is frequently localized, particularly in infants. Patients with nodular desmoplastic medulloblastoma and MBEN almost exclusively lie within the sonic hedgehog group of tumors. However, all histological variants are represented within this group, and approximately 50% of patients have other histology such as classical or Large Cell Anaplastic (LCA). Patients with sonic hedgehog pathway alterations have a variable prognosis. Reports have identified a subgroup of sonic hedgehogpatients, with p53 mutated tumors, who show a high rate of early failure [60], yet, in contrast, desmoplastic tumors have an excellent outcome and infants may be successfully treated without the use of radiation [18].
Group 3 medulloblastoma
As yet no dominant signaling pathway has been implicated in the pathogenesis of group 3 medulloblastoma, although frequent aberrations in the TGF1 beta pathway have been identified [58]. This group possesses the worst prognosis of all of the medulloblastoma subgroups [4]. Patients are infants or children, rarely teenagers and never adults. They often have metastatic disease on presentation (particularly in infants where it approaches 50%), and tumors have aggressive behavior, progressing sometimes irrespectively of the treatment used. Nearly all MYC amplified tumors are contained within this subgroup as is a frequent fusion between PVT1-MYC, leading to very high MYC expression [58]. The most common cytogenetic aberration is isochromosome 17q but gains of chromosomes 1q and 7, and deletions of 10q, 11, 16q and 17p are frequently observed.
Group 4 medulloblastoma
Group 4 tumors represent the majority of tumors in medulloblastomapatients. Patients are typically children and more commonly boys (ratio 3:1). Metastatic dissemination is frequent at diagnosis in approximately 30% of patients. Group 4 tumors have mostly classical histology, although LCA tumors are seen, and the majority of patients have isochromosome 17q. Prognosis within this group, like the sonic hedgehogtumors, is heterogeneous. Patients can be divided into “poor” and “good” prognostic subtypes on the basis of follistatin-related protein 5 (FSTL5) expression which, if high, carries a poorer prognosis [61]. MYCN rather than MYC amplifications are commonly observed and the most common structural alteration in this subgroup is a tandem duplication of SNCAIP [58]. Single nucleotide variations in the histone demethylase KDM6A are primarily found in group 4 [55-57].Although characterization of CNS-PNETs is in its infancy, three molecular subgroups have been defined based on transcriptional signatures, reflecting different cellular origins [9]. Group 1 enriches for neural stem cell genes, group 2 has more oligoneural markers and group 3 more mesenchymal differentiation genes. Group 1 tumors are identified by amplification of the C19MC at chr19q13.41-42 and positivity for LIN28, a pluripotency gene [62,63]. LIN28 positivity on immunohistochemistry serves as a marker for group 1 tumors and likewise OLIG2, a marker of motor neuron and oligodendrocyte differentiation, serves as a marker for group 2 tumors. Although IGF2 was found to be differentially expressed in group 3 tumors, no specific marker could be validated on immunohistochemistry and these tumors by default are identified as LIN28/OLIG2 negative [9]. Markers cannot be used in isolation as, although C19MC amplification is not seen in other CNS tumors, LIN28 positivity is described in other primary CNS tumors, including ATRTs. Correlation with histology and other biological markers, such as INI1/SMARCB1 is needed [64]. Clinical distinctions between the subgroups are clear. Group 1 patients are significantly younger than those in group 2 and 3 and mostly located within the cerebellum, brain stem and spine as opposed to the cerebral hemispheres [64]. Group 1 also has dismal survival with the median survival being 0.8 years compared with 1.8 years in group 2 and 4.3 years in group 3. Group 3 patients are more likely to present with metastasis (53% compared to 20% in both other groups combined) yet, despite this, may have a better survival.
Does biology rule?
One pertinent question is how we navigate the new biological landscape and reconcile it with our past knowledge. In a meta-analysis combining data from seven separate medulloblastoma studies, subgroup allocation was of significant prognostic value, suggesting it is primarily biology that matters [65]. Retrospective analyses may help validate the prognostic capabilities of subgrouping, but do not provide enough evidence to abandon the previously defined prognostic factors on which treatment decisions are made.In CNS-PNETs, data suggest the C19MC amplicon and LIN28 positivity define a group of patients with a dismal outcome [9,63,64]. The transcriptional and methylation profiles of these patients with C19MC/LIN28 positivity suggest a single biological entity despite variant histology [64,66]. What is not known is to what extent negativity for C19MC/LIN28 conveys a better outcome, for instance within the group of infants with ETANTR [9,64,67].Retrospective analyses of subgroups in relation to important prognostic factors are required. Only then can one validate whether subgroups override previous prognosticators. It is likely there will be a shift in our understanding with newly defined “good” high-risk patients as well as “bad” average-risk patients.
Treatment of medulloblastoma and CNS-PNET tomorrow
Subgrouping of patients may more accurately define our patient groups (see Figure 4, adapted from [68]). It could change our notion of current risk groups and more accurately predict prognosis. Subgroup specific cytogenetic biomarker-driven stratification has recently been shown to retrospectively predict survival, advocating for biology-driven risk stratification [69]. However, subgrouping is not a tool for stratification but for a change in treatment. Future cooperative trials will integrate the current knowledge regarding the molecular biology of medulloblastoma and develop group-specific therapies. The first patients considered for these trials are the WNT patients and the sonic hedgehogpatients because of the ease of identification of these patients and apparent clinical rationale for a change in treatment.
Figure 4.
The future treatment of medulloblastoma
Proposed future treatments based on molecular subgrouping adapted from Ramaswarmy et al. 2011 [68]. CSI, craniospinal radiation; CNS-PNET, central nervous system primitive neuro-ectodermal tumor; ETANTR, embryonal tumor with abundant neuropil and true rosettes; SHH, sonic hedgehog.
The future treatment of medulloblastoma
Proposed future treatments based on molecular subgrouping adapted from Ramaswarmy et al. 2011 [68]. CSI, craniospinal radiation; CNS-PNET, central nervous system primitive neuro-ectodermal tumor; ETANTR, embryonal tumor with abundant neuropil and true rosettes; SHH, sonic hedgehog.WNT patients have a >95% 5-year survival with current treatment strategies, suggesting they are being over-treated as a group [65]. Future strategies for these patients will concentrate on de-escalating treatment to lessen the burden of treatment-related morbidity. Such strategies cannot be taken lightly in a disease that has a negligible salvage gap and brave steps are required to omit therapies as entrenched as craniospinal radiation. Further work is also necessary to define whether there are any higher risk patients within the WNT group who should not be down-graded.Within the sonic hedgehog pathway, druggable targets exist for which new agents are already in advanced stages of development. The smoothened inhibitors LDE225 and GDC-449 show promise and the former is currently in phase III trials (NCT01878617). There is still much to learn, however. Subtypes within the sonic hedgehog group have mutations at different parts of the sonic hedgehog pathway, suggesting the choice of sonic hedgehog inhibitor will be dependent on specific subtypes [70].Molecularly targeted treatment options are not yet available to group 3 or 4 medulloblastomapatients. For these patients, initial approaches may use new prognostic factors to direct innovative therapies. Subtypes of extremely poor prognosis patients identified within the subgroups, such as infants with group 3, MYC amplified tumors or p53 positive sonic hedgehogtumors, should be considered for experimental agents. Validation of clinical variables between subgroups may also influence how we design future clinical trials. The knowledge that the majority of group 3 and 4 patients are metastatic at recurrence may lead us to direct treatment at the metastatic compartment in these patients. In contrast, sonic hedgehogpatients are more commonly localized at recurrence so, in this group, the emphasis should be on local control and it may be that craniospinal radiation can be reduced further [71].The future of CNS-PNET treatment lies in their segregation into specifically directed protocols. To date there have been few prospective CNS-PNET trials and no trials where the treatment of CNS-PNET differed from medulloblastoma [46]. International collaboration is required to design trials explicitly for CNS-PNET. The first steps are to better define the clinical and biological spectrum of the disease, with molecular profiling of larger cohorts with correlated clinical details. Currently, we know LIN28-positive patients do poorly on current therapy, irrespective of the location of their tumor or the extent of resection. These initial trials could begin to address controversies in the management of these patients, such as the need for high-risk approaches for all CNS-PNET patients. The data from St. Jude and confirmed by the Milan group suggest that patients can be risk-stratified based on resection and metastatic status, and a proportion treated successfully with lower doses of craniospinal radiation or even focal radiation [45,47]. Such an approach is also supported by the retrospective clinical observations that local relapse is more common in CNS-PNETs [43,48]. Armed with more biological characterization, we may be able to base clinical decisions on biology and incorporate subgrouping to stratify patients as confidently as we do in medulloblastoma.
Clouds on the horizon
Ideally, patients with medulloblastoma or CNS-PNETs should undergo real-time diagnosis of their molecular subgroup in order to have individual treatment tailored to their biological risk, from surgery to radiation to chemotherapy. Many questions need to be answered before this becomes a reality.The technical aspect of viable and affordable subgrouping in a clinical setting is yet to be validated. The speed of progression in molecular advances may make techniques outdated before they can be implemented clinically. Although RNA-based genome-wide transcriptional profiling has been the gold standard for subgroup allocation, high-resolution DNA methylation profiling may surpass transcriptional profiles for subgrouping prior to their routine use, due to the robustness and reproducibility of this assay, coupled with its reliability from formalin fixed paraffin embedded (FFPE) samples [72]. The need for frozen tissue for gene expression arrays precludes them from routine clinical use, particularly in prospective clinical trials. The added expense of DNA methylation arrays, however, makes them less accessible. One solution is to use the nanoString nCounter, which provides reliable gene expression profiling from FFPE-derived RNA, with high correlation to matched frozen tissue using a 22 gene signature [73]. A consensus on methodology and knowledge on the reproducibility of defining subgroups must be reached in order to compare clinical trials. The feasibility of molecular diagnosis in time to be clinically relevant will be tested prospectively in the upcoming COG and SIOP trials [70].For the clinical trialists there are major challenges to overcome. Knowledge advances with such speed that a trial becomes outdated before completion. This is especially true given the complexity subgrouping brings. It is becoming clear that subtypes exist within subgroups [69]. How to integrate this knowledge within clinical trials requires careful consideration given the limited patient numbers. Multi-arm clinical trials may be difficult to power sufficiently to test new treatments and become unrealistic. International collaboration will be required, which adds to logistical difficulties. Caution must also be exercised in the face of scientific enthusiasm, given the thus far retrospective nature of the data collected. Many factors need further consideration, such as the influence of treatment outcomes in relation to subgroups. If progress is to be made, however, and the dream of omission of craniospinal radiation realized in even a subsection of patients, then courageous jumps must be made.
Summary
We are entering an exciting new age of biology-driven treatment for both medulloblastoma and CNS-PNETs. The definition of groups of patients with molecularly distinct disease allows us to treat patients according to their biology and the potential behavior of their tumors. By defining tumors biologically we may more accurately predict behavior and be able to direct therapy accordingly. It gives us the opportunity to use targeted agents specific to biologically defined groups, and therefore gives us more chance of success. Although fast becoming a clinical reality, incorporating this new knowledge into our clinical work is challenging and requires caution, as the field is still evolving, as well as leaps of faith in order to change the face of clinical practice. Future trials will need to be intelligently balanced to capitalize on our biological successes, yet not hyper-fractionate our already small patient numbers nor compromise our current successful outcomes.
Authors: Barry L Pizer; Claire L Weston; Kathryn J Robinson; David W Ellison; James Ironside; Frank Saran; Linda S Lashford; Diana Tait; Helen Lucraft; David A Walker; Clifford C Bailey; Roger E Taylor Journal: Eur J Cancer Date: 2006-04-24 Impact factor: 9.162
Authors: André O von Bueren; Joachim Gerss; Christian Hagel; Haoyang Cai; Marc Remke; Martin Hasselblatt; Burt G Feuerstein; Sarah Pernet; Olivier Delattre; Andrey Korshunov; Stefan Rutkowski; Stefan M Pfister; Michael Baudis Journal: J Neurooncol Date: 2012-07-07 Impact factor: 4.130
Authors: Yoon-Jae Cho; Aviad Tsherniak; Pablo Tamayo; Sandro Santagata; Azra Ligon; Heidi Greulich; Rameen Berhoukim; Vladimir Amani; Liliana Goumnerova; Charles G Eberhart; Ching C Lau; James M Olson; Richard J Gilbertson; Amar Gajjar; Olivier Delattre; Marcel Kool; Keith Ligon; Matthew Meyerson; Jill P Mesirov; Scott L Pomeroy Journal: J Clin Oncol Date: 2010-11-22 Impact factor: 44.544
Authors: P M Zeltzer; J M Boyett; J L Finlay; A L Albright; L B Rorke; J M Milstein; J C Allen; K R Stevens; P Stanley; H Li; J H Wisoff; J R Geyer; P McGuire-Cullen; J A Stehbens; S B Shurin; R J Packer Journal: J Clin Oncol Date: 1999-03 Impact factor: 44.544
Authors: Carsten Friedrich; André O von Bueren; Katja von Hoff; Nicolas U Gerber; Holger Ottensmeier; Frank Deinlein; Martin Benesch; Robert Kwiecien; Torsten Pietsch; Monika Warmuth-Metz; Andreas Faldum; Joachim Kuehl; Rolf D Kortmann; Stefan Rutkowski Journal: Neuro Oncol Date: 2012-12-07 Impact factor: 12.300
Authors: Stefan Pfister; Marc Remke; Mirco Castoldi; Alfa H C Bai; Martina U Muckenthaler; Andreas Kulozik; Andreas von Deimling; Armin Pscherer; Peter Lichter; Andrey Korshunov Journal: Acta Neuropathol Date: 2008-12-05 Impact factor: 17.088
Authors: W H St Clair; J A Adams; M Bues; B C Fullerton; Sean La Shell; H M Kooy; J S Loeffler; N J Tarbell Journal: Int J Radiat Oncol Biol Phys Date: 2004-03-01 Impact factor: 7.038
Authors: Daniel Picard; Suzanne Miller; Cynthia E Hawkins; Eric Bouffet; Hazel A Rogers; Tiffany S Y Chan; Seung-Ki Kim; Young-Shin Ra; Jason Fangusaro; Andrey Korshunov; Helen Toledano; Hideo Nakamura; James T Hayden; Jennifer Chan; Lucie Lafay-Cousin; Pingzhao Hu; Xing Fan; Karin M Muraszko; Scott L Pomeroy; Ching C Lau; Ho-Keung Ng; Chris Jones; Timothy Van Meter; Steven C Clifford; Charles Eberhart; Amar Gajjar; Stefan M Pfister; Richard G Grundy; Annie Huang Journal: Lancet Oncol Date: 2012-06-11 Impact factor: 41.316
Authors: John Glod; Gilbert J Rahme; Harpreet Kaur; Eric H Raabe; Eugene I Hwang; Mark A Israel Journal: J Pediatr Hematol Oncol Date: 2016-05 Impact factor: 1.289
Authors: Jessica M Rusert; Xiaochong Wu; Charles G Eberhart; Michael D Taylor; Robert J Wechsler-Reya Journal: Cancer Cell Date: 2014-12-08 Impact factor: 31.743
Authors: Revathi Rajagopal; Sayyidatul Abd-Ghafar; Dharmendra Ganesan; Anita Zarina Bustam Mainudin; Kum Thong Wong; Norlisah Ramli; Vida Jawin; Su Han Lum; Tsiao Yi Yap; Eric Bouffet; Ibrahim Qaddoumi; Shekhar Krishnan; Hany Ariffin; Wan Ariffin Abdullah Journal: J Glob Oncol Date: 2016-06-15