scholarly journals Spatial progression and molecular heterogeneity of IDH-mutant glioblastoma determined by DNA methylation-based mapping

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
James F. Lyon ◽  
Varshini Vasudevaraja ◽  
Kanish Mirchia ◽  
Jamie M. Walker ◽  
Robert J. Corona ◽  
...  

AbstractGlioblastoma (GBM) is the most common malignant primary central nervous system (CNS) neoplasm in adults, and has an almost universally poor prognosis. Recently, an emphasis on genetic and epigenetic profiling has revealed a number of molecular features useful in the diagnostic and prognostic classification of GBM, advancing our understanding of the underlying features that make these tumors so aggressive and providing the rationale for the creation of better targeted therapeutics. One such method, DNA methylation profiling, has recently emerged as an important technique for the classification of CNS tumors, with diagnostic accuracy in some cases surpassing traditional methods. However, how DNA methylation profiles change with the course of the disease remains less understood. Here, we present a case of a 30-year-old male with primary IDH-mutant GBM with widespread recurrence and death two years later. Using unsupervised hierarchical clustering of methylation probes, we created a phylogenetic map to trace the tumor path as it spread from the initial biopsy site throughout the right hemisphere, across the corpus callosum to the contralateral hemisphere, and into the brainstem. We identified molecular divergence between the right and left hemisphere GBM samples marked by distinct copy number profile alterations, alterations in specific methylation sites, and regional loss of MGMT promoter methylation, providing a potential mechanism for treatment resistance in this case. In summary, this case both highlights the molecular diversity in GBM, and illustrates a novel use for methylation profiling in establishing a phylogenetic profile to allow for spatial mapping of tumor progression.

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Sandra Ferreyra Vega ◽  
Thomas Olsson Bontell ◽  
Alba Corell ◽  
Anja Smits ◽  
Asgeir Store Jakola ◽  
...  

Abstract Background DNA methylation profiling has facilitated and improved the classification of a wide variety of tumors of the central nervous system. In this study, we investigated the potential utility of DNA methylation profiling to achieve molecular diagnosis in adult primary diffuse lower-grade glioma (dLGG) according to WHO 2016 classification system. We also evaluated whether methylation profiling could provide improved molecular characterization and identify prognostic differences beyond the classical histological WHO grade together with IDH mutation status and 1p/19q codeletion status. All patients diagnosed with dLGG in the period 2007–2016 from the Västra Götaland region in Sweden were assessed for inclusion in the study. Results A total of 166 dLGG cases were subjected for genome-wide DNA methylation analysis. Of these, 126 (76%) were assigned a defined diagnostic methylation class with a class prediction score ≥ 0.84 and subclass score ≥ 0.50. The assigned methylation classes were highly associated with their IDH mutation status and 1p/19q codeletion status. IDH-wildtype gliomas were further divided into subgroups with distinct molecular features. Conclusion The stratification of the patients by methylation profiling was as effective as the integrated WHO 2016 molecular reclassification at predicting the clinical outcome of the patients. Our study shows that DNA methylation profiling is a reliable and robust approach for the classification of dLGG into molecular defined subgroups, providing accurate detection of molecular markers according to WHO 2016 classification.


Author(s):  
Elena A. Kozlova ◽  

The article deals with the concept of hypnotic metaphor in psychiatry and linguistics and explores its application in the situation of public teaching discourse. The right-hemisphere mechanisms of perception are considered in order to detect sensory images, represented in the universal object code, since the processes of mastering the facts, which are based on similarity, adjacency, imagery, take place in the right hemisphere. The connection of mirror neurons with metaphorical thinking is assumed. The classification of metaphor types in psychotherapeutic literature is given. The article analyzes the performance of modern speaker-coaches, given as lectures, trainings, conversations and designed to effectively change the emotional mood and categorical constructs of listeners. Otherwise, listeners simply will not buy tickets for these events. It is concluded that modern lecture trainings are a kind of group psychotherapy session. Information is fed in a ‘live stream’ of right-hemisphere mechanisms involving mirror neurons. Coach rhetoric is a system of metaphors that are archetypes of consciousness and are part of the basic layer of the conceptual framework.


2019 ◽  
Vol 110 (2) ◽  
pp. 828-832 ◽  
Author(s):  
Taishi Nakamura ◽  
Kohei Fukuoka ◽  
Yoshiko Nakano ◽  
Kai Yamasaki ◽  
Yuko Matsushita ◽  
...  

Cancer ◽  
2018 ◽  
Vol 124 (21) ◽  
pp. 4168-4180 ◽  
Author(s):  
Rahul Kumar ◽  
Anthony P. Y. Liu ◽  
Brent A. Orr ◽  
Paul A. Northcott ◽  
Giles W. Robinson

2016 ◽  
Vol 26 (06) ◽  
pp. 1650022 ◽  
Author(s):  
Fangzhou Xu ◽  
Weidong Zhou ◽  
Yilin Zhen ◽  
Qi Yuan ◽  
Qi Wu

The feature extraction and classification of brain signal is very significant in brain–computer interface (BCI). In this study, we describe an algorithm for motor imagery (MI) classification of electrocorticogram (ECoG)-based BCI. The proposed approach employs multi-resolution fractal measures and local binary pattern (LBP) operators to form a combined feature for characterizing an ECoG epoch recording from the right hemisphere of the brain. A classifier is trained by using the gradient boosting in conjunction with ordinary least squares (OLS) method. The fractal intercept, lacunarity and LBP features are extracted to classify imagined movements of either the left small finger or the tongue. Experimental results on dataset I of BCI competition III demonstrate the superior performance of our method. The cross-validation accuracy and accuracy is 90.6% and 95%, respectively. Furthermore, the low computational burden of this method makes it a promising candidate for real-time BCI systems.


2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi147-vi147
Author(s):  
Shirin Karimi ◽  
Jeffrey Zuccato ◽  
Yasin Mamatjan ◽  
Sheila Mansouri ◽  
Suganth Suppiah ◽  
...  

Abstract The update on the WHO classification of central nervous system (CNS) tumors incorporated molecular signatures for a more accurate diagnosis. Recently, DKFZ has demonstrated the utility of DNA methylation profiling(MP) for molecular classification of CNS tumors. We performed a prospective clinical study over the last three years to evaluate the clinical utility ofDNA MP on FFPE samples of 66 challenging CNS tumor cases using online DKFZ classifier. Eleven samples were excluded due to low tumor DNA content or low calibration(predictive) scores(CS)< 0.3.DNA MP confirmed the original pathology diagnoses in 15(27%)cases. The integrated molecular diagnoses were changed in 38/55(70%) including establishment of a new diagnostic entity, change in molecular signature and subtyping. TheWHO grades were changed in 16(27%) of the tumors; about two-thirds resulted in upgrading. We detected non-canonical IDH mutations in 9 diffuse gliomas and the CNV plots revealed false positive FISH results for 1p/19q co-deletion in two diffuse gliomas. The CNV plots contributed to the final diagnosis in 40(72%) patients. The molecular subtypes of medulloblastoma, ependymoma and glioblastoma subclasses were determined in 36(65%) cases. Seventy-five percent of cases with confirmation of initial diagnosis or change in molecular diagnosis had CS > 0.5, among which 51% had a CS >0.9. The median and range CS of cases with new diagnostic entity and confirmed cases were 0.86(0.37–0.99) and 0.98(0.42–0.99), respectably. Furthermore, we detected higher CS in IDH-mutant gliomas in comparison to glioblastoma IDH-wild type(P=0.04). We also observed lower CS in mesenchymal glioblastoma in comparison to other subclasses. The MGMT promoter methylation was determined in 17/20(85%) glioblastoma cases. While the DKFZ group established CS of 0.9 as a cut-off for matching to methylation classes, our findings suggest lower threshold values in challenging CNS tumor cases. Our experience indicates clinical utility of MP of challenging CNS tumors as a reliable ancillary diagnostic tool in routine neuropathology practice.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Christian Koelsche ◽  
Daniel Schrimpf ◽  
Damian Stichel ◽  
Martin Sill ◽  
Felix Sahm ◽  
...  

AbstractSarcomas are malignant soft tissue and bone tumours affecting adults, adolescents and children. They represent a morphologically heterogeneous class of tumours and some entities lack defining histopathological features. Therefore, the diagnosis of sarcomas is burdened with a high inter-observer variability and misclassification rate. Here, we demonstrate classification of soft tissue and bone tumours using a machine learning classifier algorithm based on array-generated DNA methylation data. This sarcoma classifier is trained using a dataset of 1077 methylation profiles from comprehensively pre-characterized cases comprising 62 tumour methylation classes constituting a broad range of soft tissue and bone sarcoma subtypes across the entire age spectrum. The performance is validated in a cohort of 428 sarcomatous tumours, of which 322 cases were classified by the sarcoma classifier. Our results demonstrate the potential of the DNA methylation-based sarcoma classification for research and future diagnostic applications.


2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii378-iii378
Author(s):  
Revathi Rajagopal ◽  
Vida Jawin ◽  
Ay Jiuan Teng ◽  
Oy Leng Wong ◽  
Kein Seong Mun ◽  
...  

Abstract OBJECTIVE To determine the prognostic significance of the four molecular subgroups of medulloblastoma (MB) among children in Malaysia. METHODS We assembled MB samples of children &lt; 18 years between January 1999 and July 2017 in University Malaya Medical Centre, Penang General Hospital, Sarawak General Hospital and Sabah Woman and Children’s Hospital. MB was sub-grouped using 850k DNA methylation profiling. RESULTS Fifty-one tumour samples were retrieved. Histopathological subtypes were classic (n=12), MB extensive nodularity/desmoplastic (n=9) and 30 MB results without subtypes. Thirteen patients were M1-M4. Fourteen patients were stratified as standard-risk (SR,27.4%), 22 as high-risk (HR,43.2%) and 15 as high-risk children ≤ 3 years old (iHR,29.4%). Molecular subgrouping revealed 16 Group4, 11 SHH, 10 Group3 and 4 Wnt. In 8 patients, DNA methylation profiling identified a diagnosis other than MB and in 2 samples the DNA was inadequate. For patients &gt;3 years old, the 5-year event-free survival (EFS) was 35.7%±13% in HR and 39.7%±20% in SR. The 5-year overall survival (OS) in these two groups was 43.4%±14% and 41.7±30% respectively. iHR had 5-year EFS and OS of 48.0%±16% and 60.0%±16% respectively. WNT tumours had the best 5y-OS of 66.7±22% of the cohort, albeit significantly lower than other reports, followed by SHH (56.8±17%), Group4 (44.3±17.6%) and Group3 (41.7±18%). Treatment abandonment rate was 20%. CONCLUSION The discrepancy in the histological diagnoses highlights the importance of DNA methylation profiling technique for accurate diagnosis. We observed poor OS across all the subgroups, in part due to treatment abandonment.


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