ArticleProceedings of the National Academy of Sciences of the United States of America2019
Comprehensive genomic profiling of glioblastoma tumors, BTICs, and xenografts reveals stability and adaptation to growth environments.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
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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
29 citing papers in PubMed, 61 citations in OpenAlex.
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- CDKN2A/B Homozygous Deletion Sensitizes IDH-Mutant Glioma to CDK4/6 Inhibition.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024Article
- Enrichment of Deleterious Mutated Genes Involved in Ciliary Function and Histone Modification in Brain Cancer Patient-Derived Xenograft Models.Biomedicines · 2023Article
- Mitogen-induced defective mitosis transforms neural progenitor cells.Neuro-oncology · 2023Article
- Different states of stemness of glioblastoma stem cells sustain glioblastoma subtypes indicating novel clinical biomarkers and high-efficacy customized therapies.Journal of experimental & clinical cancer research : CR · 2023Article
- Dysregulation of inflammasome activation in glioma.Cell communication and signaling : CCS · 2023Review
- Epigenetic and molecular coordination between HDAC2 and SMAD3-SKI regulates essential brain tumour stem cell characteristics.Nature communications · 2023Article
- Patient-derived glioblastoma cell lines with conserved genome profiles of the original tissue.Scientific data · 2023Article
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- BI-907828, a novel potent MDM2 inhibitor, inhibits glioblastoma brain tumor stem cells in vitro and prolongs survival in orthotopic xenograft mouse models.Neuro-oncology · 2023Article
- Oncolytic herpes simplex viruses for the treatment of glioma and targeting glioblastoma stem-like cells.Frontiers in cellular and infection microbiology · 2023Review
- The IL13α 2R paves the way for anti-glioma nanotherapy.Genes & diseases · 2023Review
- Leveraging extrachromosomal DNA to fine-tune trials of targeted therapy for glioblastoma: opportunities and challenges.Nature reviews. Clinical oncology · 2022Review
- Integrated Transcriptome Profiling Identifies Prognostic Hub Genes as Therapeutic Targets of Glioblastoma: Evidenced by Bioinformatics Analysis.ACS omega · 2022Article
- PD-1 independent of PD-L1 ligation promotes glioblastoma growth through the NFκB pathway.Science advances · 2021Article
- Immune cell deconvolution of bulk DNA methylation data reveals an association with methylation class, key somatic alterations, and cell state in glial/glioneuronal tumors.Acta neuropathologica communications · 2021Article
- Slow Off-Rate Modified Aptamer (SOMAmer) Proteomic Analysis of Patient-Derived Malignant Glioma Identifies Distinct Cellular Proteomes.International journal of molecular sciences · 2021Article
Corrections and comments
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Authors and funding
24 authors at 5 institutions in 1 country.
Funding
Abstract
Glioblastoma multiforme (GBM) is the most deadly brain tumor, and currently lacks effective treatment options. Brain tumor-initiating cells (BTICs) and orthotopic xenografts are widely used in investigating GBM biology and new therapies for this aggressive disease. However, the genomic characteristics and molecular resemblance of these models to GBM tumors remain undetermined. We used massively parallel sequencing technology to decode the genomes and transcriptomes of BTICs and xenografts and their matched tumors in order to delineate the potential impacts of the distinct growth environments. Using data generated from whole-genome sequencing of 201 samples and RNA sequencing of 118 samples, we show that BTICs and xenografts resemble their parental tumor at the genomic level but differ at the mRNA expression and epigenomic levels, likely due to the different growth environment for each sample type. These findings suggest that a comprehensive genomic understanding of in vitro and in vivo GBM model systems is crucial for interpreting data from drug screens, and can help control for biases introduced by cell-culture conditions and the microenvironment in mouse models. We also found that lack of
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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.