ArticleScientific reports2015
Topological robustness analysis of protein interaction networks reveals key targets for overcoming chemotherapy resistance in glioma.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 50 citations in OpenAlex.
- Computational Elucidation of Hub Genes and Pathways Correlated with the Development of 5-Fluorouracil Resistance in HCT 116 Colorectal Carcinoma Cell Line.Biochemical genetics · 2026Article
- Network Analysis to Identify MicroRNAs Involved in Alzheimer's Disease and to Improve Drug Prioritization.Biomedicines · 2026Article
- High peritumoral network connectedness in glioblastoma reveals a distinct epigenetic signature and is associated with decreased overall survival.Neuro-oncology · 2025Article
- Topology-driven negative sampling enhances generalizability in protein-protein interaction prediction.Bioinformatics (Oxford, England) · 2025Article
- Early diagnostic and prognostic biomarkers for gastric cancer: systems-level molecular basis of subsequent alterations in gastric mucosa from chronic atrophic gastritis to gastric cancer.Journal, genetic engineering & biotechnology · 2023Article
- Integrated bioinformatics approach reveals methylation-regulated differentially expressed genes in obesity.Archives of endocrinology and metabolism · 2023Article
- Overview of methods for characterization and visualization of a protein-protein interaction network in a multi-omics integration context.Frontiers in molecular biosciences · 2022Review
- Metabolomics and Multi-Omics Integration: A Survey of Computational Methods and Resources.Metabolites · 2020Review
- Modeling Basins of Attraction for Breast Cancer Using Hopfield Networks.Frontiers in genetics · 2020Article
- Systems chemo-biology analysis of DNA damage response and cell cycle effects induced by coal exposure.Genetics and molecular biology · 2020Article
- Comparative analysis of differential proteome-wide protein-protein interaction network ofBiochemistry and biophysics reports · 2019Article
- Mining Featured Biomarkers Linked with Epithelial Ovarian CancerBased on Bioinformatics.Diagnostics (Basel, Switzerland) · 2019Article
- Systemic analysis of tyrosine kinase signaling reveals a common adaptive response program in a HER2-positive breast cancer.Science signaling · 2019Article
- Signaling Complexity Measured by Shannon Entropy and Its Application in Personalized Medicine.Frontiers in genetics · 2019Article
- Minipuberty and Sexual Dimorphism in the Infant Human Thymus.Scientific reports · 2018Article
- Identification of modules of hepatic encephalopathy based on protein-protein network and gene expression data.Experimental and therapeutic medicine · 2018Article
- How the evolution of multicellularity set the stage for cancer.British journal of cancer · 2018Review
- Network biology concepts in complex disease comorbidities.Nature reviews. Genetics · 2016Review
- NIK regulates MT1-MMP activity and promotes glioma cell invasion independently of the canonical NF-κB pathway.Oncogenesis · 2016Article
- PTIR: Predicted Tomato Interactome Resource.Scientific reports · 2016Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biological networks display high robustness against random failures but are vulnerable to targeted attacks on central nodes. Thus, network topology analysis represents a powerful tool for investigating network susceptibility against targeted node removal. Here, we built protein interaction networks associated with chemoresistance to temozolomide, an alkylating agent used in glioma therapy, and analyzed their modular structure and robustness against intentional attack. These networks showed functional modules related to DNA repair, immunity, apoptosis, cell stress, proliferation and migration. Subsequently, network vulnerability was assessed by means of centrality-based attacks based on the removal of node fractions in descending orders of degree, betweenness, or the product of degree and betweenness. This analysis revealed that removing nodes with high degree and high betweenness was more effective in altering networks' robustness parameters, suggesting that their corresponding proteins may be particularly relevant to target temozolomide resistance. In silico data was used for validation and confirmed that central nodes are more relevant for altering proliferation rates in temozolomide-resistant glioma cell lines and for predicting survival in glioma patients. Altogether, these results demonstrate how the analysis of network vulnerability to topological attack facilitates target prioritization for overcoming cancer chemoresistance.
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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.