ArticleBMC cancer2015
Comparative transcriptomics reveals similarities and differences between astrocytoma grades.
Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
31 citing papers in PubMed, 40 citations in OpenAlex.
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- Exploring glioma heterogeneity through omics networks: from gene network discovery to causal insights and patient stratification.BioData mining · 2024Article
- Advances in PGD2/PTGDR2 signaling pathway in tumors: A review.Biomolecules & biomedicine · 2024Review
- The Clinical Significance and Involvement in Molecular Cancer Processes of Chemokine CXCL1 in Selected Tumors.International journal of molecular sciences · 2024Review
- Reduced Expression of Very-Long-Chain Acyl-CoA SynthetasesBrain sciences · 2023Article
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- Regulatory networks driving expression of genes critical for glioblastoma are controlled by the transcription factor c-Jun and the pre-existing epigenetic modifications.Clinical epigenetics · 2023Article
- Review
- Non-Association of Driver Alterations in PTEN with Differential Gene Expression and Gene Methylation in IDH1 Wildtype Glioblastomas.Brain sciences · 2023Article
- The Transcriptomic Landscape of Pediatric Astrocytoma.International journal of molecular sciences · 2022Article
- Glioblastoma Multiforme Tumors in Women Have a Lower Expression of Fatty Acid ElongasesBrain sciences · 2022Article
- Computational gene expression analysis reveals distinct molecular subgroups of T-cell prolymphocytic leukemia.PloS one · 2022Article
- Synergetic reorganization of the contralateral structure and function in patients with unilateral frontal glioma.Frontiers in neuroscience · 2022Article
- miRNA-204-5p acts as tumor suppressor to influence the invasion and migration of astrocytoma by targeting ezrin and is downregulated by DNA methylation.Bioengineered · 2021Article
- Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition).European journal of immunology · 2021Review
- HGF/MET Signaling in Malignant Brain Tumors.International journal of molecular sciences · 2020Review
- Pilocytic astrocytoma demethylation and transcriptional landscapes link bZIP transcription factors to immune response.Neuro-oncology · 2020Article
- Survival differences and associated molecular signatures of DNMT3A-mutant acute myeloid leukemia patients.Scientific reports · 2020Article
- Molecular Characterization of Astrocytoma Progression Towards Secondary Glioblastomas Utilizing Patient-Matched Tumor Pairs.Cancers · 2020Article
- Fractalkine/CX3CL1 in Neoplastic Processes.International journal of molecular sciences · 2020Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAstrocytomas are the most common primary brain tumors distinguished into four histological grades. Molecular analyses of individual astrocytoma grades have revealed detailed insights into genetic, transcriptomic and epigenetic alterations. This provides an excellent basis to identify similarities and differences between astrocytoma grades.
methodsWe utilized public omics data of all four astrocytoma grades focusing on pilocytic astrocytomas (PA I), diffuse astrocytomas (AS II), anaplastic astrocytomas (AS III) and glioblastomas (GBM IV) to identify similarities and differences using well-established bioinformatics and systems biology approaches. We further validated the expression and localization of Ang2 involved in angiogenesis using immunohistochemistry.
resultsOur analyses show similarities and differences between astrocytoma grades at the level of individual genes, signaling pathways and regulatory networks. We identified many differentially expressed genes that were either exclusively observed in a specific astrocytoma grade or commonly affected in specific subsets of astrocytoma grades in comparison to normal brain. Further, the number of differentially expressed genes generally increased with the astrocytoma grade with one major exception. The cytokine receptor pathway showed nearly the same number of differentially expressed genes in PA I and GBM IV and was further characterized by a significant overlap of commonly altered genes and an exclusive enrichment of overexpressed cancer genes in GBM IV. Additional analyses revealed a strong exclusive overexpression of CX3CL1 (fractalkine) and its receptor CX3CR1 in PA I possibly contributing to the absence of invasive growth. We further found that PA I was significantly associated with the mesenchymal subtype typically observed for very aggressive GBM IV. Expression of endothelial and mesenchymal markers (ANGPT2, CHI3L1) indicated a stronger contribution of the micro-environment to the manifestation of the mesenchymal subtype than the tumor biology itself. We further inferred a transcriptional regulatory network associated with specific expression differences distinguishing PA I from AS II, AS III and GBM IV. Major central transcriptional regulators were involved in brain development, cell cycle control, proliferation, apoptosis, chromatin remodeling or DNA methylation. Many of these regulators showed directly underlying DNA methylation changes in PA I or gene copy number mutations in AS II, AS III and GBM IV.
conclusionsThis computational study characterizes similarities and differences between all four astrocytoma grades confirming known and revealing novel insights into astrocytoma biology. Our findings represent a valuable resource for future computational and experimental studies.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.