Tumors of the central nervous system. Classification of the World Health Organization 2021. Towards a paradigm shift. / Tumores del sistema nervioso central. Clasificación de la Organización Mundial de la Salud 2021. Hacia un cambio de paradigma.

The study of central nervous system (CNS) tumors is a subject of great interest and such knowledge is of great importance in medical practice. The classifications of CNS neoplasms began in the mid-19th century, until the World Health Organization (WHO) published, in 1979, the first edition of a useful systematic review for the purpose of establishing a common language for all medical specialties. To date, 5 updated editions of neoplastic taxonomy have been published. The fifth edition, from 2021, consolidates the paradigm shift brought about by molecular advances, although the transition between morphological and molecular biological characterization is still in progress. In this article, the new modifications introduced in the different most frequent families of tumors in pediatrics are analyzed, emphasizing useful information for pediatricians in their daily practice and multidisciplinary consultations.

El estudio de los tumores del sistema nervioso central (SNC) resulta ser un tema de gran consideración y su conocimiento reviste una alta importancia en la práctica médica. Las clasificaciones de las neoplasias del SNC comenzaron a mediados del siglo XIX hasta que en 1979 la Organización Mundial de la Salud (OMS) publicó la primera edición de una sistemática útil con el objetivo de establecer un lenguaje común para todas las especialidades médicas. Al día de hoy, 5 ediciones actualizaron la taxonomía neoplásica. La quinta edición del año 2021 consolida el cambio de paradigma dado por los avances moleculares, si bien todavía la transición se encuentra en proceso entre la caracterización morfológica y la biológica molecular. En este artículo, se analizan las nuevas modificaciones incorporadas en las diferentes familias tumorales más frecuentes en pediatría haciendo hincapié en aquella información de utilidad para el médico pediatra en su práctica diaria y la consulta multidisciplinaria.

Ultra-fast deep-learned CNS tumour classification during surgery.

Central nervous system tumours represent one of the most lethal cancer types, particularly among children1. Primary treatment includes neurosurgical resection of the tumour, in which a delicate balance must be struck between maximizing the extent of resection and minimizing risk of neurological damage and comorbidity2,3. However, surgeons have limited knowledge of the precise tumour type prior to surgery. Current standard practice relies on preoperative imaging and intraoperative histological analysis, but these are not always conclusive and occasionally wrong. Using rapid nanopore sequencing, a sparse methylation profile can be obtained during surgery4. Here we developed Sturgeon, a patient-agnostic transfer-learned neural network, to enable molecular subclassification of central nervous system tumours based on such sparse profiles. Sturgeon delivered an accurate diagnosis within 40 minutes after starting sequencing in 45 out of 50 retrospectively sequenced samples (abstaining from diagnosis of the other 5 samples). Furthermore, we demonstrated its applicability in real time during 25 surgeries, achieving a diagnostic turnaround time of less than 90 min. Of these, 18 (72%) diagnoses were correct and 7 did not reach the required confidence threshold. We conclude that machine-learned diagnosis based on low-cost intraoperative sequencing can assist neurosurgical decision-making, potentially preventing neurological comorbidity and avoiding additional surgeries.

Major Changes in 2021 World Health Organization Classification of Central Nervous System Tumors.

The World Health Organization (WHO) published the fifth edition of the WHO Classification of Tumors of the Central Nervous System (WHO CNS5) in 2021, as an update of the WHO central nervous system (CNS) classification system published in 2016. WHO CNS5 was drafted on the basis of recommendations from the Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy (cIMPACT-NOW) and expounds the classification scheme of the previous edition, which emphasized the importance of genetic and molecular changes in the characteristics of CNS tumors. Multiple newly recognized tumor types, including those for which there is limited knowledge regarding neuroimaging features, are detailed in WHO CNS5. The authors describe the major changes introduced in WHO CNS5, including revisions to tumor nomenclature. For example, WHO grade IV tumors in the fourth edition are equivalent to CNS WHO grade 4 tumors in the fifth edition, and diffuse midline glioma, H3 K27M-mutant, is equivalent to midline glioma, H3 K27-altered. With regard to tumor typing, isocitrate dehydrogenase (IDH)-mutant glioblastoma has been modified to IDH-mutant astrocytoma. In tumor grading, IDH-mutant astrocytomas are now graded according to the presence or absence of homozygous CDKN2A/B deletion. Moreover, the molecular mechanisms of tumorigenesis, as well as the clinical characteristics and imaging features of the tumor types newly recognized in WHO CNS5, are summarized. Given that WHO CNS5 has become the foundation for daily practice, radiologists need to be familiar with this new edition of the WHO CNS tumor classification system. Online supplemental material and the slide presentation from the RSNA Annual Meeting are available for this article. ©RSNA, 2022.

Brain and other central nervous system tumor statistics, 2021.

Brain and other central nervous system (CNS) tumors are among the most fatal cancers and account for substantial morbidity and mortality in the United States. Population-based data from the Central Brain Tumor Registry of the United States (a combined data set of the National Program of Cancer Registries [NPCR] and Surveillance, Epidemiology, and End Results [SEER] registries), NPCR, National Vital Statistics System and SEER program were analyzed to assess the contemporary burden of malignant and nonmalignant brain and other CNS tumors (hereafter brain) by histology, anatomic site, age, sex, and race/ethnicity. Malignant brain tumor incidence rates declined by 0.8% annually from 2008 to 2017 for all ages combined but increased 0.5% to 0.7% per year among children and adolescents. Malignant brain tumor incidence is highest in males and non-Hispanic White individuals, whereas the rates for nonmalignant tumors are highest in females and non-Hispanic Black individuals. Five-year relative survival for all malignant brain tumors combined increased between 1975 to 1977 and 2009 to 2015 from 23% to 36%, with larger gains among younger age groups. Less improvement among older age groups largely reflects a higher burden of glioblastoma, for which there have been few major advances in prevention, early detection, and treatment the past 4 decades. Specifically, 5-year glioblastoma survival only increased from 4% to 7% during the same time period. In addition, important survival disparities by race/ethnicity remain for childhood tumors, with the largest Black-White disparities for diffuse astrocytomas (75% vs 86% for patients diagnosed during 2009-2015) and embryonal tumors (59% vs 67%). Increased resources for the collection and reporting of timely consistent data are critical for advancing research to elucidate the causes of sex, age, and racial/ethnic differences in brain tumor occurrence, especially for rarer subtypes and among understudied populations.

Marcadores moleculares y biomarcadores de imagen: importancia en el avance terapéutico de los tumores cerebrales intraaxiales / Molecular markers and image biomarkers. Importance in the therapeutic advance of intraaxial brain tumors

RESUMEN: La clasificación de los Tumores Primarios del Sistema Nervioso Central (SNC) tiene su origen en la descripción morfológica, cuyo análisis histopatológico ha permitido identificar la línea celular involucrada en estos tumores y obtener el reconocimiento de ciertas características de estas lesiones y su evolución clínica. El estudio molecular ha venido a complementar el diagnóstico inicial permitiendo reconocer entidades que no son distinguibles de otra manera y que han variado los conceptos y definiciones de varias entidades patológicas que modifican el horizonte visible de estas enfermedades. El papel de las imágenes de Resonancia Magnética (RM) en el manejo de los tumores intraaxiales se puede dividir ampliamente en el diagnóstico y la clasificación de los tumores, la planificación del tratamiento y el tratamiento posterior. El presente artículo resume la evidencia epidemiológica relacionada en la clasificación de los tumores primarios del SNC con marcadores moleculares y biomarcadores de imágenes de RM, apuntando a la importancia del uso de la investigación clínica con el manejo terapéutico.

SUMMARY: The classification of primary tumors of the Central Nervous System (CNS) has its origin in the morphological description whose histopathological analysis has allowed to identify the cell line involved in these tumors and obtain the recognition of certain characteristics of these lesions and their clinical evolution. The molecular study has come to complement the initial diagnosis allowing to recognize entities that are not distinguishable in another way and that have varied the concepts and definitions of various pathological entities modifying the visible horizon of these diseases. The role of Magnetic Resonance (MR) images in the management of intraaxial tumors can be broadly divided into the diagnosis and classification of tumors, treatment planning and subsequent treatment. The present article summarizes the epidemiologic evidence related to the classification of primary tumors of the CNS with molecular markers and MR imaging biomarkers.

Molecular analysis of pediatric CNS-PNET revealed nosologic heterogeneity and potent diagnostic markers for CNS neuroblastoma with FOXR2-activation.

Primitive neuroectodermal tumors of the central nervous system (CNS-PNETs) are highly malignant neoplasms posing diagnostic challenge due to a lack of defining molecular markers. CNS neuroblastoma with forkhead box R2 (FOXR2) activation (CNS_NBL) emerged as a distinct pediatric brain tumor entity from a pool previously diagnosed as primitive neuroectodermal tumors of the central nervous system (CNS-PNETs). Current standard of identifying CNS_NBL relies on molecular analysis. We set out to establish immunohistochemical markers allowing safely distinguishing CNS_NBL from morphological mimics. To this aim we analyzed a series of 84 brain tumors institutionally diagnosed as CNS-PNET. As expected, epigenetic analysis revealed different methylation groups corresponding to the (1) CNS-NBL (24%), (2) glioblastoma IDH wild-type subclass H3.3 G34 (26%), (3) glioblastoma IDH wild-type subclass MYCN (21%) and (4) ependymoma with RELA_C11orf95 fusion (29%) entities. Transcriptome analysis of this series revealed a set of differentially expressed genes distinguishing CNS_NBL from its mimics. Based on RNA-sequencing data we established SOX10 and ANKRD55 expression as genes discriminating CNS_NBL from other tumors exhibiting CNS-PNET. Immunohistochemical detection of combined expression of SOX10 and ANKRD55 clearly identifies CNS_NBL discriminating them to other hemispheric CNS neoplasms harboring "PNET-like" microscopic appearance. Owing the rarity of CNS_NBL, a confirmation of the elaborated diagnostic IHC algorithm will be necessary in prospective patient series.

Characterization of primary glioma cell lines derived from the patients according to 2016 CNS tumour WHO classification and comparison with their parental tumours.

BACKGROUND: Gliomas represent about 80% of primary brain tumours and about 30% of malignant ones, which today don't have a resolution therapy because of their variability. A valid model for the study of new personalized therapies can be represented by primary cultures from patient's tumour biopsies. METHODS: In this study we consider 12 novel cell lines established from patients' gliomas and immunohistochemically and molecularly characterized according to the newly updated 2016 CNS Tumour WHO classification. RESULTS: Eight of these lines were glioblastoma cells, two grade III glioma cells (anaplastic astrocytoma and oligo astrocytoma) and two low grade glioma cells (grade II astrocytoma and oligodendroglioma). All cell lines were analysed by immunohistochemistry for specific glioma markers, respectively VIMENTIN, GFAP, IDH1R132, and ATRX. The methylation status of the MGMT gene promoter was also determined in all lines. The comparison of the immunohistochemical characteristics and of the MGMT methylation status of the lines with the tissues of origin shows that the cells in culture maintain the same characteristics. CONCLUSIONS: Human cancer cell lines represent a support in the knowledge of tumour biology and in drug discovery through its facile experimental manipulation. TRIAL REGISTRATION: NCT04180046.

Embryonal Tumors of the Central Nervous System: The WHO 2016 Classification and New Insights.

Central nervous system tumors comprise 26% of cancer in children, representing the most frequent solid neoplasms. Embryonal tumors comprise 15% of them, and they are defined as "small round blue cells" in which morphology is reminiscent of the developing embryonic nervous system. They are the most common high-grade central nervous system neoplasms. Over the years, molecular research has been improving our knowledge concerning these neoplasms, stressing the need for tumor reclassification. Indeed, the revised 2016 fourth edition of the World Health Organization classification introduced genetic parameters in the classification. Specific molecular signatures allow a more accurate risk assessment, leading to proper therapeutic approach and potentially improved prognosis. Holding this new approach, medulloblastoma is noteworthy. The present classification combines the previous histologic classification with a new genetic definition in WNT-activated, sonic hedgehog-activated and non-WNT/non-sonic hedgehog. Molecular data are also a defining feature in the diagnosis of atypical teratoid/rhabdoid tumors and embryonal tumors with multilayered rosettes. However, there are still embryonal tumors that challenge the present World Health Organization classification, and new molecular data have been underlining the need for novel tumor entities. Likewise, recent research has been highlighting heterogeneity in recognized entities. How to translate these molecular developments into routine clinical practice is still a major challenge.

Histopathologic and Molecular Features of Central Nervous System Embryonal Tumors for Integrated Diagnosis Reporting.

Embryonal tumors of the pediatric central nervous system are challenging clinically and diagnostically. These tumors are aggressive, and patients often have poor outcomes even with intense therapy. Proper tumor classification is essential to patient care, and this process has undergone significant changes with the World Health Organization recommending histopathologic and molecular features be integrated in diagnostic reporting. This has especially impacted the workup of embryonal tumors because molecular testing has resulted in the identification of clinically relevant tumor subgroups and new entities. This review summarizes recent developments and provides a framework to workup embryonal tumors in diagnostic practice.

Diffuse gliomas to date and beyond 2016 WHO Classification of Tumours of the Central Nervous System.

The updated 2016 World Health Organization (WHO) Classification of Tumours of the Central Nervous System (CNS) has incorporated molecular parameters into pathological diagnosis, for the first time in the molecular era. While it has led to the more precise diagnoses of well-understood entities and the better comprehension of less-understood entities, its practical application has also created some concerns whether or not genotypes predominate over phenotypes in tumor diagnostics. In response to these concerns, the Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy-Not Official WHO (cIMAPCT-NOW) was established under the sponsorship of the International Society of Neuropathology to provide a forum to evaluate and recommend proposed changes to future CNS tumor classifications. cIMPACT has thus far published five updates on the proposal and clarification of existing and new terms and entities. Also, recent studies have shown that WHO grading based on histology has lost its prognostic relevance, which necessitates novel, improved grading criteria. We herein highlight the current status of clinical application of WHO 2016 classification and cIMPACT proposals, and the future endeavor to incorporate DNA methylation profiling of the CNS tumors for better clinical decision-making to achieve a goal of precision medicine for each patient with brain tumors.

cIMPACT-NOW update 6: new entity and diagnostic principle recommendations of the cIMPACT-Utrecht meeting on future CNS tumor classification and grading.

cIMPACT-NOW (the Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy) was established to evaluate and make practical recommendations on recent advances in the field of CNS tumor classification, particularly in light of the rapid progress in molecular insights into these neoplasms. For Round 2 of its deliberations, cIMPACT-NOW Working Committee 3 was reconstituted and convened in Utrecht, The Netherlands, for a meeting designed to review putative new CNS tumor types in advance of any future World Health Organization meeting on CNS tumor classification. In preparatory activities for the meeting and at the actual meeting, a list of possible entities was assembled and each type and subtype debated. Working Committee 3 recommended that a substantial number of newly recognized types and subtypes should be considered for inclusion in future CNS tumor classifications. In addition, the group endorsed a number of principles-relating to classification categories, approaches to classification, nomenclature, and grading-that the group hopes will also inform the future classification of CNS neoplasms.

Incidence of Malignant Brain and Central Nervous System Tumors in Golestan, Iran, 2004-2013.

BACKGROUND: Brain and other central nervous system (CNS) tumors represent almost 3% of all new cancer cases worldwide and comprise a heterogeneous group of tumors with varying epidemiologic and clinical characteristics. The aim of this study is to present the distribution and trends in brain and other CNS cancer incidence in Golestan, Iran during a 10-year period. METHODS: Data on primary brain and other CNS cancers diagnosed between 2004 and 2013 were obtained from the Golestan population-based cancer registry (GPCR) dataset. We computed age-standardized incidence rates (ASRs) per 100000 personyears. In order to assess changes in incidence over time, we calculated the estimated annual percentage change (EAPC) and corresponding 95% confidence intervals (CIs) to detect significant trends. RESULTS: Over the 10-year period (2004-2013), the incidence of brain and other CNS cancer was observed to increase for all ages (EAPC: 1.13, 95% CI: -6.06, 8.87). After 2008, the trends appear to have stabilized. Incidence rates were higher in males than females (ratio: 1.2) and glioblastoma was the most common tumor subtype (15.1% of all malignant tumors). CONCLUSION: Trends and patterns in the burden of brain and other CNS cancer require careful monitoring alongside future research to increase our understanding of potential risk factors.

Impact of the 2016 World Health Organization Classification of Tumours of the Central Nervous System: an Irish experience.

The 2016 World Health Organization Classification of Tumours of the Central Nervous System Tumours represents the most significant update to neuro-oncological tumour classification to date, compared with previous updates. This update reflects the substantial advances in molecular and genetic understanding of both adult and childhood brain tumours which have occurred in recent years. These advances have meant that an increasing array of molecular tests are required to definitively classify a tumour, allowing for a more precise integrated pathological diagnosis, but at the expense of a more challenging pathology workup. We review the changes incorporated into the 2016 classification and describe the impact of these changes in an Irish neuropathology laboratory.

A review of recently described genetic alterations in central nervous system tumors.

Advances in molecular profiling of central nervous system tumors have enabled the development of classification schemes with improved diagnostic and prognostic accuracy. As such, the 2016 World Health Organization Classification of Tumors of the Central Nervous System (WHO 2016) introduced a paradigm shift in the diagnosis of brain tumors. For instance, integrated assessment incorporating both histologic features and genetic alterations was introduced into the diagnostic framework of gliomas. IDH1/2 mutation status now represents the most important initial stratifier of diffuse gliomas in adults, although rarer subtypes within the IDH-wildtype category continue to be elucidated. Medulloblastomas and other embryonal neoplasms were also genetically defined and segregated based on molecular subtypes, and 1 molecular subtype of ependymoma was added. In this review, we summarize the rapidly evolving spectrum of recurrent genetic alterations described in central nervous system tumor entities since the publication of the WHO 2016.

Imaging of Central Nervous System Tumors Based on the 2016 World Health Organization Classification.

The 2016 World Health Organization Classification of Tumors of the Central Nervous System (CNS) incorporated well-established molecular markers known to drive tumorigenesis and tumor behavior into the existing classification of CNS tumors based on histopathologic appearance. This integrated classification system has led to a major restructuring of the diffuse gliomas. In addition, it resulted in the categorization of medulloblastomas into four distinct molecular subgroups. Radiogenomic studies have revealed key imaging differences between certain genetic groups and may aid in the diagnosis, longitudinal assessment of treatment response, and evaluation of tumor recurrence in patients with brain tumors.

The central nervous system tumor methylation classifier changes neuro-oncology practice for challenging brain tumor diagnoses and directly impacts patient care.

BACKGROUND: Molecular signatures are being increasingly incorporated into cancer classification systems. DNA methylation-based central nervous system (CNS) tumor classification is being recognized as having the potential to aid in cases of difficult histopathological diagnoses. Here, we present our institutional clinical experience in integrating a DNA-methylation-based classifier into clinical practice and report its impact on CNS tumor patient diagnosis and treatment. METHODS: Prospective case review was undertaken at CNS tumor board discussions over a 3-year period and 55 tumors with a diagnosis that was not certain to two senior neuropathologists were recommended for methylation profiling based on diagnostic needs. Tumor classification, calibrated scores, and copy number variant (CNV) plots were obtained for all 55 cases. These results were integrated with histopathological findings to reach a final diagnosis. We retrospectively reviewed each patient's clinical course to determine final neuro-pathology diagnoses and the impact of methylation profiling on their clinical management, with a focus on changes that were made to treatment decisions. RESULTS: Following methylation profiling, 46 of the 55 (84%) challenging cases received a clinically relevant diagnostic alteration, with two-thirds having a change in the histopathological diagnosis and the other one-third obtaining clinically important molecular diagnostic or subtyping alterations. WHO grading changed by 27% with two-thirds receiving a higher grade. Patient care was directly changed in 15% of all cases with major changes in clinical decision-making being made for these patients to avoid unnecessary or insufficient treatment. CONCLUSIONS: The integration of methylation-based CNS tumor classification into diagnostics has a substantial clinical benefit for patients with challenging CNS tumors while also avoiding unnecessary health care costs. The clinical impact shown here may prompt the expanded use of DNA methylation profiling for CNS tumor diagnostics within prominent neuro-oncology centers globally.

Central nervous system tumors in 2-year rat carcinogenicity studies: perspectives on human risk assessment.

Rodent in vivo carcinogenicity bioassays are required for human risk assessment and have been utilized in this capacity for decades. Accordingly, there is an abundance of data that could be accessed and analyzed to better understand the translatability of xenobiotic-induced rodent tumors to human risk assessment. In the past decade, various groups have published assessments of the value garnered by these life-time rodent studies. Results and recommendations from the International Council for Harmonization Expert Working Group (ICH-S1 EWG) on the predictability of the current testing paradigm and proposal for an integrated approach to human carcinogenicity risk assessment are pending. Central nervous system (CNS) tumors in rats are rare and translatability to human remains unknown. This review focuses on microglial cell tumors (MCT) of the CNS in rats including its classification, nomenclature, incidence and translatability to human risk assessment. Based on emerging immunohistochemistry (IHC) characterization, glial tumors previously thought of astrocytic origin are more likely MCTs. These may be considered rodent specific and glucose dysregulation may be one component contributing to their formation. Based on review of the literature, MCTs are rarely diagnosed in humans, thus this tumor type may be rat-specific. We propose to include MCTs as a tumor type in revised International Harmonization of Nomenclature and Diagnostic Criteria (INHAND) classification and all glial tumors to be classified as MCTs unless proven otherwise by IHC.