ArticlePloS one
Comparative analysis of protein-protein interaction networks in metastatic breast cancer.
Article in PloS one. 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, 35 citations in OpenAlex.
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- Integrative transcriptomic analysis reveals novel targets for personalized medicine across seven metastatic breast cancer subtypes.Scientific reports · 2026Article
- Identification and validation of druggable targets for cataract using mendelian randomization: functional insights from multi-omics and an oxidative stress model.Frontiers in medicine · 2026Article
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- From Data to Cure: A Comprehensive Exploration of Multi-omics Data Analysis for Targeted Therapies.Molecular biotechnology · 2025Review
- The Use of Biologics for Targeting GPCRs in Metastatic Cancers.Biotech (Basel (Switzerland)) · 2025Review
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- Molecular docking and MD simulation approach to identify potential phytochemical lead molecule against triple negative breast cancer.F1000Research · 2024Article
- Copper Chaperone for Superoxide Dismutase Subtypes as a Prognostic Marker in Luminal B Breast Cancer.Clinical Medicine Insights. Oncology · 2024Article
- Identifying Lymph Node Metastasis-Related Factors in Breast Cancer Using Differential Modular and Mutational Structural Analysis.Interdisciplinary sciences, computational life sciences · 2023Article
- Orphan G Protein-Coupled Receptor GPR37 as an Emerging Therapeutic Target.ACS chemical neuroscience · 2023Review
- Micronome Revealed miR-205-5p as Key Regulator of VEGFA During Cancer Related Angiogenesis in Hepatocellular Carcinoma.Molecular biotechnology · 2023Article
- Omics-Based Investigations of Breast Cancer.Molecules (Basel, Switzerland) · 2023Review
- Identification of key genes in HER2-positive breast cancer with brain metastasis via bioinformatics methods.Translational cancer research · 2023Article
- Cytokine Landscape in Central Nervous System Metastases.Biomedicines · 2022Review
Corrections and comments
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Authors and funding
12 authors at 10 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metastatic lesions leading causes of the majority of deaths in patients with the breast cancer. The present study aimed to provide a comprehensive analysis of the differentially expressed genes (DEGs) in the brain (MDA-MB-231 BrM2) and lung (MDA-MB-231 LM2) metastatic cell lines obtained from breast cancer patients compared with those who have primary breast cancer. We identified 981 and 662 DEGs for brain and lung metastasis, respectively. Protein-protein interaction (PPI) analysis revealed seven shared (PLCB1, FPR1, FPR2, CX3CL1, GABBR2, GPR37, and CXCR4) hub genes between brain and lung metastasis in breast cancer. Moreover, GNG2 and CXCL8, C3, and PTPN6 in the brain and SAA1 and CCR5 in lung metastasis were found as unique hub genes. Besides, five co-regulation of clusters via seven important co-expression genes (COL1A2, LUM, SPARC, THBS2, IL1B, CXCL8, THY1) were identified in the brain PPI network. Clusters screening followed by biological process (BP) function and pathway enrichment analysis for both metastatic cell lines showed that complement receptor signalling, acetylcholine receptor signalling, and gastric acid secretion pathways were common between these metastases, whereas other pathways were site-specific. According to our findings, there are a set of genes and functional pathways that mark and mediate breast cancer metastasis to the brain and lungs, which may enable us understand the molecular basis of breast cancer development in a deeper levele to the brain and lungs, which may help us gain a more complete understanding of the molecular underpinnings of breast cancer development.
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