ArticleiScience2021
Changes in gene-gene interactions associated with cancer onset and progression are largely independent of changes in gene expression.
Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Uncovering Oncogenic Mechanisms of Tumor Suppressor Genes in Breast Cancer Multi-Omics Data.International journal of molecular sciences · 2022Pooled it
- Behavioral screening defines the molecular Parkinsonism-related subgroups in Drosophila.Nature communications · 2026Article
- Integrative machine learning reveals hidden and emerging co-regulatory gene networks for multi-phase glioblastoma outcome prediction.European journal of cancer (Oxford, England : 1990) · 2026Article
- LtransHeteroGGM: local transfer learning for Gaussian graphical model-based heterogeneity analysis.Bioinformatics (Oxford, England) · 2026Article
- Gene regulatory network transitions reveal the central transcription factors in lung adenocarcinoma progression.NPJ systems biology and applications · 2026Article
- TransMarker: Unveiling dynamic network biomarkers in cancer progression through cross-state graph alignment and optimal transport.PLoS computational biology · 2025Article
- Sample-specific network analysis identifies gene co-expression patterns of immunotherapy response in clear cell renal cell carcinoma.iScience · 2025Article
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- Community cohesion looseness in gene networks reveals individualized drug targets and resistance.Briefings in bioinformatics · 2024Article
- An atlas of cell-type-specific interactome networks across 44 human tumor types.Genome medicine · 2024Article
- Application of hydrogels in cancer immunotherapy: a bibliometric analysis.Frontiers in immunology · 2024Article
- FAS gene expression, prognostic significance and molecular interactions in lung cancer.Frontiers in oncology · 2024Article
- Cell cycle protein BORA is associated with colorectal cancer progression by AURORA-PLK1 cascades: a bioinformatics analysis.Journal of cell communication and signaling · 2023Article
- Stage-specific coexpression network analysis of Myc in cohorts of renal cancer.Scientific reports · 2023Article
- BUN level is associated with cancer prevalence.European journal of medical research · 2023Article
- Transition of amyloid/mutant p53 from tumor suppressor to an oncogene and therapeutic approaches to ameliorate metastasis and cancer stemness.Cancer cell international · 2022Review
- A computational approach to generate highly conserved gene co-expression networks with RNA-seq data.STAR protocols · 2022Article
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
Recent findings indicate that changes underlying cancer onset and progression are not only attributable to changes in DNA structure and expression of individual genes but to changes in interactions among these genes as well. We examined co-expression changes in gene-network structure occurring during the onset and progression of nine different cancer types. Network complexity is generally reduced in the transition from normal precursor tissues to corresponding primary tumors. Cross-tissue cancer network similarity generally increases in early-stage cancers followed by a subsequent loss in cross-tissue cancer similarity as tumors reacquire cancer-specific network complexity. Gene-gene connections remaining stable through cancer development are enriched for "housekeeping" gene functions, whereas newly acquired interactions are associated with established cancer-promoting functions. Surprisingly, >90% of changes in gene-gene network interactions in cancers are not associated with changes in the expression of network genes relative to normal precursor tissues.
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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.