Transcriptome analysis reveals distinct gene expression profiles in astrocytoma grades II-IV
Background: Astrocytoma is the most prevalent form of primary brain cancer categorized into four histological grades by the World Health Organization. Investigation into individual grades of astrocytoma by previous studies has provided some insight into dysregulation of regulatory networks associate...
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| Format: | Article |
| Language: | English |
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Palacký University Olomouc, Faculty of Medicine and Dentistry
2017-09-01
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| Series: | Biomedical Papers |
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| Online Access: | https://biomed.papers.upol.cz/artkey/bio-201703-0005_Transcriptome_analysis_reveals_distinct_gene_expression_profiles_in_astrocytoma_grades_II-IV.php |
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| author | Nato Narsia Pradeep Ramagiri Jiri Ehrmann Zdenek Kolar |
| author_facet | Nato Narsia Pradeep Ramagiri Jiri Ehrmann Zdenek Kolar |
| author_sort | Nato Narsia |
| collection | DOAJ |
| description | Background: Astrocytoma is the most prevalent form of primary brain cancer categorized into four histological grades by the World Health Organization. Investigation into individual grades of astrocytoma by previous studies has provided some insight into dysregulation of regulatory networks associated with increasing astrocytoma grades. However, further understanding of key mechanisms that distinguish different astrocytoma grades is required to facilitate targeted therapies. Methods: In this study, we utilized a large cohort of publicly available RNA sequencing data from patients with diffuse astrocytoma (grade II), anaplastic astrocytoma (grade III), primary glioblastoma (grade IV), secondary glioblastoma (grade IV), recurrent glioblastoma (grade IV), and normal brain samples to identify genetic similarities and differences between these grades using bioinformatics applications. Results: Our analysis revealed a distinct gene expression pattern between grade II astrocytoma and grade IV glioblastoma (GBM). We also identified genes that were exclusively expressed in each of the astrocytoma grades. Furthermore, we identified known and novel genes involved in key pathways in our study. Gene set enrichment analysis revealed a distinct expression pattern of transcriptional regulators in primary GBM. Further investigation into molecular processes showed that the genes involved in cell proliferation and invasion were shared across all subtypes of astrocytoma. Also, the number of genes involved in metastasis, regulation of cell proliferation, and apoptosis increased with tumor grade. Conclusions: We confirmed existing findings and shed light on some important genes and molecular processes that will improve our understanding of glioma biology. |
| first_indexed | 2024-12-12T23:36:11Z |
| format | Article |
| id | doaj.art-55e53d3b4bfd47d5884b50d02b1f9911 |
| institution | Directory Open Access Journal |
| issn | 1213-8118 1804-7521 |
| language | English |
| last_indexed | 2024-12-12T23:36:11Z |
| publishDate | 2017-09-01 |
| publisher | Palacký University Olomouc, Faculty of Medicine and Dentistry |
| record_format | Article |
| series | Biomedical Papers |
| spelling | doaj.art-55e53d3b4bfd47d5884b50d02b1f99112022-12-22T00:07:27ZengPalacký University Olomouc, Faculty of Medicine and DentistryBiomedical Papers1213-81181804-75212017-09-01161326127110.5507/bp.2017.020bio-201703-0005Transcriptome analysis reveals distinct gene expression profiles in astrocytoma grades II-IVNato Narsia0Pradeep Ramagiri1Jiri Ehrmann2Zdenek Kolar3Department of Clinical and Molecular Pathology and Laboratory of Molecular Pathology, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Czech RepublicInstitute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United KingdomDepartment of Clinical and Molecular Pathology and Laboratory of Molecular Pathology, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Czech RepublicDepartment of Clinical and Molecular Pathology and Laboratory of Molecular Pathology, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Czech RepublicBackground: Astrocytoma is the most prevalent form of primary brain cancer categorized into four histological grades by the World Health Organization. Investigation into individual grades of astrocytoma by previous studies has provided some insight into dysregulation of regulatory networks associated with increasing astrocytoma grades. However, further understanding of key mechanisms that distinguish different astrocytoma grades is required to facilitate targeted therapies. Methods: In this study, we utilized a large cohort of publicly available RNA sequencing data from patients with diffuse astrocytoma (grade II), anaplastic astrocytoma (grade III), primary glioblastoma (grade IV), secondary glioblastoma (grade IV), recurrent glioblastoma (grade IV), and normal brain samples to identify genetic similarities and differences between these grades using bioinformatics applications. Results: Our analysis revealed a distinct gene expression pattern between grade II astrocytoma and grade IV glioblastoma (GBM). We also identified genes that were exclusively expressed in each of the astrocytoma grades. Furthermore, we identified known and novel genes involved in key pathways in our study. Gene set enrichment analysis revealed a distinct expression pattern of transcriptional regulators in primary GBM. Further investigation into molecular processes showed that the genes involved in cell proliferation and invasion were shared across all subtypes of astrocytoma. Also, the number of genes involved in metastasis, regulation of cell proliferation, and apoptosis increased with tumor grade. Conclusions: We confirmed existing findings and shed light on some important genes and molecular processes that will improve our understanding of glioma biology.https://biomed.papers.upol.cz/artkey/bio-201703-0005_Transcriptome_analysis_reveals_distinct_gene_expression_profiles_in_astrocytoma_grades_II-IV.phpastrocytoma grades iiiiiivgene expressionrna sequencing |
| spellingShingle | Nato Narsia Pradeep Ramagiri Jiri Ehrmann Zdenek Kolar Transcriptome analysis reveals distinct gene expression profiles in astrocytoma grades II-IV Biomedical Papers astrocytoma grades ii iii iv gene expression rna sequencing |
| title | Transcriptome analysis reveals distinct gene expression profiles in astrocytoma grades II-IV |
| title_full | Transcriptome analysis reveals distinct gene expression profiles in astrocytoma grades II-IV |
| title_fullStr | Transcriptome analysis reveals distinct gene expression profiles in astrocytoma grades II-IV |
| title_full_unstemmed | Transcriptome analysis reveals distinct gene expression profiles in astrocytoma grades II-IV |
| title_short | Transcriptome analysis reveals distinct gene expression profiles in astrocytoma grades II-IV |
| title_sort | transcriptome analysis reveals distinct gene expression profiles in astrocytoma grades ii iv |
| topic | astrocytoma grades ii iii iv gene expression rna sequencing |
| url | https://biomed.papers.upol.cz/artkey/bio-201703-0005_Transcriptome_analysis_reveals_distinct_gene_expression_profiles_in_astrocytoma_grades_II-IV.php |
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