ArticleProceedings of the National Academy of Sciences of the United States of America2006
Analysis of oncogenic signaling networks in glioblastoma identifies ASPM as a molecular target.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 369 papers, 1 of them a synthesis that pooled it.
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Who cites it
369 citing papers in PubMed, 1 synthesis or guideline pooled it, 670 citations in OpenAlex.
- Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer's disease: review, recommendation, implementation and application.Molecular neurodegeneration · 2022Pooled it
- Modular PheWAS reveals the therapeutic heterogeneity landscape of Danghong injection on stable angina pectoris.Molecular biomedicine · 2026Article
- ASPM promotes the progression of esophageal squamous cell carcinoma by upregulating the expression of HMMR.Cancer cell international · 2026Article
- The Role of GDF-15 in Heart Failure and Biomarker Potential-From Basic Science to Clinical Praxis.Biology · 2026Review
- Comparative transcriptomics and computational drug discovery identify ASPM as a key oncogenic driver and therapeutic target in hepatocellular carcinoma.Frontiers in bioinformatics · 2026Article
- Novel GABAAR antagonists target networked gene hubs at the leading edge in high-grade gliomas.Neuro-oncology · 2025Article
- Human gut microbiome gene co-expression network reveals a loss in taxonomic and functional diversity in Parkinson's disease.NPJ biofilms and microbiomes · 2025Article
- Bioinformatics analysis identifies BST1 as a potential therapeutic target linked to neutrophil extracellular traps in patients with acute liver failure.Scientific reports · 2025Article
- Identification of trait-associated microRNA modules in liver transcriptome of pig fed with PUFAs-enriched supplementary diet.Journal of applied genetics · 2025Article
- A Selective Review of Network Analysis Methods for Gene Expression Data.Methods in molecular biology (Clifton, N.J.) · 2025Review
- A twin analysis to estimate genetic and environmental factors contributing to variation in weighted gene co-expression network module eigengenes.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2025Article
- Article
- Article
- Discovery of key molecular signatures for diagnosis and therapies of glioblastoma by combining supervised and unsupervised learning approaches.Scientific reports · 2024Article
- Tumor draining lymph nodes connected to cold triple-negative breast cancers are characterized by Th2-associated microenvironment.Nature communications · 2024Article
- Sigma-1 Receptors Control Neuropathic Pain and Peripheral Neuroinflammation After Nerve Injury in Female Mice: A Transcriptomic Study.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2024Article
- Specific circulating miRNAs are associated with plasma lipids in a healthy American cohort.Physiological genomics · 2024Article
- Proteome-based molecular subtyping and therapeutic target prediction in gastric cancer.Molecular oncology · 2024Article
- Review
- Cross-Talking Pathways of Rapidly Accelerated Fibrosarcoma-1 (RAF-1) in Alzheimer's Disease.Molecular neurobiology · 2024Article
309 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
20 authors at 8 institutions in 2 countries.
Funding
Abstract
Glioblastoma is the most common primary malignant brain tumor of adults and one of the most lethal of all cancers. Patients with this disease have a median survival of 15 months from the time of diagnosis despite surgery, radiation, and chemotherapy. New treatment approaches are needed. Recent works suggest that glioblastoma patients may benefit from molecularly targeted therapies. Here, we address the compelling need for identification of new molecular targets. Leveraging global gene expression data from two independent sets of clinical tumor samples (n = 55 and n = 65), we identify a gene coexpression module in glioblastoma that is also present in breast cancer and significantly overlaps with the "metasignature" for undifferentiated cancer. Studies in an isogenic model system demonstrate that this module is downstream of the mutant epidermal growth factor receptor, EGFRvIII, and that it can be inhibited by the epidermal growth factor receptor tyrosine kinase inhibitor Erlotinib. We identify ASPM (abnormal spindle-like microcephaly associated) as a key gene within this module and demonstrate its overexpression in glioblastoma relative to normal brain (or body tissues). Finally, we show that ASPM inhibition by siRNA-mediated knockdown inhibits tumor cell proliferation and neural stem cell proliferation, supporting ASPM as a potential molecular target in glioblastoma. Our weighted gene coexpression network analysis provides a blueprint for leveraging genomic data to identify key control networks and molecular targets for glioblastoma, and the principle eluted from our work can be applied to other cancers.
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Registered trials
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.