2020
DOI: 10.3390/ijms21051818
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DNA Methylation Profiling for Diagnosing Undifferentiated Sarcoma with Capicua Transcriptional Receptor (CIC) Alterations

Abstract: Undifferentiated soft tissue sarcomas are a group of diagnostically challenging tumors in the pediatric population. Molecular techniques are instrumental for the categorization and differential diagnosis of these tumors. A subgroup of recently identified soft tissue sarcomas with undifferentiated round cell morphology was characterized by Capicua transcriptional receptor (CIC) rearrangements. Recently, an array-based DNA methylation analysis of undifferentiated tumors with small blue round cell histology was s… Show more

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Cited by 24 publications
(15 citation statements)
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“…It is difficult to administer target therapy for oncogenic gene fusions involve transcription factors due to not readily druggable in the direct pharmacologic manner ( 18 ). Patients with CIC - DUX4 may respond to IGF-1R inhibitor ( 19 ), and epigenetically active drugs are worth to test the efficacy in CIC -rearranged neoplasia due to the hypoacetylation and methylation involvement ( 6 , 20 ). In the further study, the generating and expressing CIC - LEUTX chimera in primary cells could be used for proving the oncogenic mechanism of the fusion.…”
Section: Discussionmentioning
confidence: 99%
“…It is difficult to administer target therapy for oncogenic gene fusions involve transcription factors due to not readily druggable in the direct pharmacologic manner ( 18 ). Patients with CIC - DUX4 may respond to IGF-1R inhibitor ( 19 ), and epigenetically active drugs are worth to test the efficacy in CIC -rearranged neoplasia due to the hypoacetylation and methylation involvement ( 6 , 20 ). In the further study, the generating and expressing CIC - LEUTX chimera in primary cells could be used for proving the oncogenic mechanism of the fusion.…”
Section: Discussionmentioning
confidence: 99%
“…Generated methylation data were compared to brain tumor classifier v11b4 [ 14 ], sarcoma classifier v12.2, and medulloblastoma classifier group 3/4 classifier v1.0, developed by Heidelberg University and DKFZ ( (accessed on 5 February 2021)) to assign a subgroup score for the tumors in the recognized methylation classes. EPIC BeadChip data were analyzed as previously reported [ 17 , 85 ] by means of R (V.3.6.1), using ChAMP package (V.2.16.1) for quality checks and filters to calculate methylation levels and functionally annotate probes at the gene level. Multidimensional scaling (MDS) on the cohort samples was performed using the cmdscale function with the Euclidean distance.…”
Section: Methodsmentioning
confidence: 99%
“…In some instances, identified fusions were then confirmed with Sanger sequencing. DNA methylation profiling was performed on three of the tumors (cases 2, 3 and 4) as previously described (44,51). Tumor areas with highest tumor cell content were selected for analysis.…”
Section: Methodsmentioning
confidence: 99%