ArticleFrontiers in genetics2022
Functional impact of multi-omic interactions in breast cancer subtypes.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Network Topology and Interactomic Analysis Reveal the Regulatory Framework of the Humanin Protein Family (MTRNR2Lx Class).Biomolecules · 2026Article
- Geometric multidimensional representation of omic signatures.Frontiers in bioinformatics · 2026Article
- Potential Drug Synergy Through the ERBB2 Pathway in HER2+ Breast Tumors.International journal of molecular sciences · 2024Article
- Coordinated inflammation and immune response transcriptional regulation in breast cancer molecular subtypes.Frontiers in immunology · 2024Article
- Functional impact of multi-omic interactions in lung cancer.Frontiers in genetics · 2024Article
- Molecular Subtyping and Survival Analysis of Osteosarcoma Reveals Prognostic Biomarkers and Key Canonical Pathways.Cancers · 2023Article
- Molecular mechanisms of multi-omic regulation in breast cancer.Frontiers in oncology · 2023Review
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Authors and funding
2 authors.
Funding
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Abstract
Multi-omic approaches are expected to deliver a broader molecular view of cancer. However, the promised mechanistic explanations have not quite settled yet. Here, we propose a theoretical and computational analysis framework to semi-automatically produce network models of the regulatory constraints influencing a biological function. This way, we identified functions significantly enriched on the analyzed omics and described associated features, for each of the four breast cancer molecular subtypes. For instance, we identified functions sustaining over-representation of invasion-related processes in the basal subtype and DNA modification processes in the normal tissue. We found limited overlap on the omics-associated functions between subtypes; however, a startling feature intersection within subtype functions also emerged. The examples presented highlight new, potentially regulatory features, with sound biological reasons to expect a connection with the functions. Multi-omic regulatory networks thus constitute reliable models of the way omics are connected, demonstrating a capability for systematic generation of mechanistic hypothesis.
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