ArticleGenome biology2016
Importance of rare gene copy number alterations for personalized tumor characterization and survival analysis.
Article in Genome biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Network-Based Prediction of Oligodendroglioma Driver Gene Candidates within the Region of the 1p/19q Co-deletion Utilizing Single-Cell Transcriptomes.Computational and structural biotechnology journal · 2026Article
- Glioblastoma at the crossroads: current understanding and future therapeutic horizons.Signal transduction and targeted therapy · 2025Review
- Network-based analysis of heterogeneous patient-matched brain and extracranial melanoma metastasis pairs reveals three homogeneous subgroups.Computational and structural biotechnology journal · 2024Article
- Loss of coordination between basic cellular processes in human aging.Nature aging · 2024Article
- Regulatory network-based imputation of dropouts in single-cell RNA sequencing data.PLoS computational biology · 2022Article
- Comparative Gene Expression Analysis Reveals Similarities and Differences of Chronic Myeloid Leukemia Phases.Cancers · 2022Article
- Pan-cancer analyses reveal IGSF10 as an immunological and prognostic biomarker.Frontiers in genetics · 2022Article
- Computational gene expression analysis reveals distinct molecular subgroups of T-cell prolymphocytic leukemia.PloS one · 2022Article
- Genome-wide copy number variations in a large cohort of bantu African children.BMC medical genomics · 2021Article
- Advanced Pathogenetic Concepts in T-Cell Prolymphocytic Leukemia and Their Translational Impact.Frontiers in oncology · 2021Review
- 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
- Network-based analysis of prostate cancer cell lines reveals novel marker gene candidates associated with radioresistance and patient relapse.PLoS computational biology · 2019Article
- Network-based analysis of oligodendrogliomas predicts novel cancer gene candidates within the region of the 1p/19q co-deletion.Acta neuropathologica communications · 2018Article
- Comparative analysis of histologically classified oligodendrogliomas reveals characteristic molecular differences between subgroups.BMC cancer · 2018Article
- Article
- The biology and mathematical modelling of glioma invasion: a review.Journal of the Royal Society, Interface · 2017Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It has proven exceedingly difficult to ascertain rare copy number alterations (CNAs) that may have strong effects in individual tumors. We show that a regulatory network inferred from gene expression and gene copy number data of 768 human cancer cell lines can be used to quantify the impact of patient-specific CNAs on survival signature genes. A focused analysis of tumors from six tissues reveals that rare patient-specific gene CNAs often have stronger effects on signature genes than frequent gene CNAs. Further comparison to a related network-based approach shows that the integration of indirectly acting gene CNAs significantly improves the survival analysis.
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