ArticleBMC bioinformatics2008
Systems biology approach to identification of biomarkers for metastatic progression in cancer.
Article in BMC bioinformatics, 2008. 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.
- Low expression of Talin1 is associated with advanced pathological features in colorectal cancer patients.Scientific reports · 2020Article
- Modeling the energetic cost of cancer as a result of altered energy metabolism: implications for cachexia.Theoretical biology & medical modelling · 2015Article
- Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data.BMC bioinformatics · 2015Article
- Circulating Proteomic Signatures of Chronological Age.The journals of gerontology. Series A, Biological sciences and medical sciences · 2015Article
- Expression of three topologically distinct membrane proteins elicits unique stress response pathways in the yeast Saccharomyces cerevisiae.Physiological genomics · 2015Article
- Biological aging alters circadian mechanisms in murine adipose tissue depots.Age (Dordrecht, Netherlands) · 2013Article
- A systems biology approach to identify molecular pathways altered by HDAC inhibition in osteosarcoma.Journal of cellular biochemistry · 2012Article
- Glycolysis inhibition by 2-deoxy-D-glucose reverts the metastatic phenotype in vitro and in vivo.Clinical & experimental metastasis · 2011Article
- Cytoskeleton in motion: the dynamics of keratin intermediate filaments in epithelia.The Journal of cell biology · 2011Review
- Resveratrol suppresses human colon cancer cell proliferation and induces apoptosis via targeting the pentose phosphate and the talin-FAK signaling pathways-A proteomic approach.Proteome science · 2011Article
- In silico analysis of combinatorial microRNA activity reveals target genes and pathways associated with breast cancer metastasis.Cancer informatics · 2011Article
- Omics-based molecular target and biomarker identification.Methods in molecular biology (Clifton, N.J.) · 2011Article
- Increased peripheral blood expression of electron transport chain genes in bipolar depression.Bipolar disorders · 2010Article
- Expression profiling in canine osteosarcoma: identification of biomarkers and pathways associated with outcome.BMC cancer · 2010Article
- Yield and characterization of subcutaneous human adipose-derived stem cells by flow cytometric and adipogenic mRNA analyzes.Cytotherapy · 2010Article
- Systems biology approach to identification of biomarkers for metastatic progression in gastric cancer.Journal of cancer research and clinical oncology · 2010Article
- Computational analysis of gene expression space associated with metastatic cancer.BMC bioinformatics · 2009Article
- Proceedings of the 2009 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) conference. Introduction.BMC bioinformatics · 2009Article
- Gene expression profiling of canine osteosarcoma reveals genes associated with short and long survival times.Molecular cancer · 2009Article
- Modeling ERBB receptor-regulated G1/S transition to find novel targets for de novo trastuzumab resistance.BMC systems biology · 2009Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMetastases are responsible for the majority of cancer fatalities. The molecular mechanisms governing metastasis are poorly understood, hindering early diagnosis and treatment. Previous studies of gene expression patterns in metastasis have concentrated on selection of a small number of "signature" biomarkers.
resultsWe propose an alternative approach that puts into focus gene interaction networks and molecular pathways rather than separate genes. We have reanalyzed expression data from a large set of primary solid and metastatic tumors originating from different tissues using the latest available tools for normalization, identification of differentially expressed genes and pathway analysis. Our studies indicate that regardless of the tissue of origin, all metastatic tumors share a number of common features related to changes in basic energy metabolism, cell adhesion/cytoskeleton remodeling, antigen presentation and cell cycle regulation. Analysis of multiple independent datasets indicates significantly reduced oxidative phosphorylation in metastases compared to primary solid tumors.
conclusionOur methods allow identification of robust, although not necessarily highly expressed biomarkers. A systems approach relying on groups of interacting genes rather than single markers is also essential for understanding the cellular processes leading to metastatic progression. We have identified metabolic pathways associated with metastasis that may serve as novel targets for therapeutic intervention.
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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.