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Gene & Protein in Disease                                             Pediatric glioma circadian clock genes



            by impacting  circadian  rhythm  generation  or instead   receptor subfamily 1 group  D member 1,  NR1D1 (Rev-
            processes that are regulated by the clock output proteins   erb-alpha); NR1D2 (Rev-erb-beta); period 1, PER1; PER2;
            but are not necessarily dependent on circadian timing.  PER3; RAR related orphan receptor A,  RORA;  RORB,
              Unlike adult gliomas, the expression pattern of   TIMELESS. In addition, ancillary genes were included
            circadian clock-related genes has not been well examined   whose proteins modulate the amplitude and stability of
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            in pediatric gliomas. Here, we examined 19 datasets   the rhythm : Basic helix-loop-helix family member e41,
            quantifying pediatric and human glioma transcription   BHLHE41 (DEC2) or are major components of the clock’s
            to describe how genes that serve in the clock mechanism   output pathway: D-box binding PAR bZIP transcription
            and the circadian timing system are expressed. We relied   factor,  DBP;  hepatic  leukemia  factor,  PAR  bZIP  family
            on internet data portals that provide statistical tools for   member,  HLF; and thyrotroph embryonic factor, PAR
            comparing  gene  expression  and  access  to  multiple  adult   bZIP family member, TEF that are controlled by BMAL1
                                                               and CLOCK  and nuclear factor, interleukin 3 regulated,
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            and pediatric glioma datasets.  Altered expression of   NFIL3, controlled by Rev-erb-alpha. 35
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            circadian clock genes has been characterized in adult GBM
            tumor cells,  and elevated expression of key components of   The selected circadian set of 20 genes includes the 13
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            the circadian clock in GBM, such as BMAL1, is recognized   genes  in  the  gene  set  KEGG_CIRCADIAN_RHYTHM_
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            as an indicator of poor patient survival.  Although GBM   MAMMAL (https://www.gsea-msigdb.org/gsea/msigdb/
            is less common among pediatric cancers, we were able   human/geneset/KEGG_CIRCADIAN_RHYTHM_
            to compare clock gene expression in adult and pediatric   MAMMAL), except for the exclusion of two gene family
            GBM and in pilocytic astrocytoma (PA) of adult and   members (CSNK1D and BHLHE40). From these 20 genes,
            pediatric patients, which is a low-grade tumor named for   we also examined a subset of 12 core transcription factor
            its morphologically distinct, hair-shaped cancer cells. PA is   genes that serve influential and intimate roles in the
            a common pediatric central nervous system tumor (ages 0   molecular mechanism of the circadian clock (ARNTL,
            to 19 years) but is rare in adults. 12,30  Yet, it comprises about   CLOCK, CRY1, CRY2, NR1D1, NR1D2, PER1, PER2, PER3,
            1.5% of adult brain cancers.  Furthermore, included in this   RORA, RORB, and TIMELESS).
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            analysis were medulloblastoma (MB) and ependymoma    The Internet tools and sequence used to explore the
            (EP) pediatric tumors that are both low-grade but can   activity of circadian genes in pediatric and adult gliomas:
            progress to more aggressive cancers and reappear later in   (i)    GlioVis to compare gene expression in normal brain
            life. These common pediatric brain cancers differ between   tissue with GBM and lower grade gliomas (LGG)
            children and adults in their locations and molecular   through microarray data derived from adult and
            subtypes.  In the present study, clock gene expression in   pediatric patients
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            four previously defined MB subtypes was examined, which   (ii)    TIMER2.0 to compare with Gliovis GBM microarray
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            are also associated with different patient outcomes.    results
            Expression of the clock genes in original and recurrent   (iii)   UCSC Cell Viewer to compare clock gene expression
            tumors in pediatric low-grade gliomas and GBM tumors   in pediatric glioma subtypes and cell types previously
            was also compared.                                     identified through single-cell RNA sequencing
            2. Methods                                             (scRNA-seq)
                                                               (iv)   Gliovis to compare the expression of the clock gene
            2.1. Transcriptome data access and analysis            set in four established subtypes of medulloblastoma,
            Publicly available collections of pediatric and adult glioma   which is the most common pediatric glioma
            gene expression data were explored through the GlioVis   (v)    Gene Expression Omnibus (GEO) to evaluate
            data portal for visualization and analysis of brain tumor   pediatric glioma clock gene expression according to
            expression datasets,  http://gliovis.bioinfo.cnio.es/. The   age
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            database was accessed until November 30, 2024. The set   (vi)   Gliovis to compare recurrent with original tumor
            of circadian genes we tested was compiled from various   expression in datasets from ependymoma and
            sources and includes genes that serve in the core circadian   pediatric GBM.
            clock mechanism. The set is listed here along with the   To maximize chances of detecting significant
            respective proteins wherever their names differ from the   differences, selected datasets were restricted to ones with
            genes: aryl hydrocarbon receptor nuclear translocator such   at least five patient samples in each group analyzed. In the
            as,  ARNTL (BMAL1);  ARNTL2;  CLOCK; cryptochrome   first step, each usable pediatric or adult dataset accessed
            circadian regulator 1, CRY1; CRY2; casein kinase 1 epsilon,   through GlioVis was examined to find differences in gene
            CSNK1E; neuronal PAS domain protein 2, NPAS2; nuclear   expression between the normal, non-tumor brain tissue,


            Volume 4 Issue 2 (2025)                         3                                doi: 10.36922/gpd.4112
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