ArticleGenes2019
The Gene Master Regulators (GMR) Approach Provides Legitimate Targets for Personalized, Time-Sensitive Cancer Gene Therapy.
Article in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 35 citations in OpenAlex.
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- Metabolic Deregulation in Pulmonary Hypertension.Current issues in molecular biology · 2023Article
- Genome-wide characterization leading to simple sequence repeat (SSR) markers development in Shorea robusta.Functional & integrative genomics · 2023Article
- Theory and Applications of the (Cardio) Genomic Fabric Approach to Post-Ischemic and Hypoxia-Induced Heart Failure.Journal of personalized medicine · 2022Article
- Personalized 3-Gene Panel for Prostate Cancer Target Therapy.Current issues in molecular biology · 2022Article
- PPAR-γ activation enhances myelination and neurological recovery in premature rabbits with intraventricular hemorrhage.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
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- Genome skimming-based simple sequence repeat (SSR) marker discovery and characterization inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2021Article
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- Transcriptomic uniqueness and commonality of the ion channels and transporters in the four heart chambers.Scientific reports · 2021Article
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- Powerful quantifiers for cancer transcriptomics.World journal of clinical oncology · 2020Review
- Biomarkers, Master Regulators and Genomic Fabric Remodeling in a Case of Papillary Thyroid Carcinoma.Genes · 2020Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The dynamic and never exactly repeatable tumor transcriptomic profile of people affected by the same form of cancer requires a personalized and time-sensitive approach of the gene therapy. The Gene Master Regulators (GMRs) were defined as genes whose highly controlled expression by the homeostatic mechanisms commands the cell phenotype by modulating major functional pathways through expression correlation with their genes. The Gene Commanding Height (GCH), a measure that combines the expression control and expression correlation with all other genes, is used to establish the gene hierarchy in each cell phenotype. We developed the experimental protocol, the mathematical algorithm and the computer software to identify the GMRs from transcriptomic data in surgically removed tumors, biopsies or blood from cancer patients. The GMR approach is illustrated with applications to our microarray data on human kidney, thyroid and prostate cancer samples, and on thyroid, prostate and blood cancer cell lines. We proved experimentally that each patient has his/her own GMRs, that cancer nuclei and surrounding normal tissue are governed by different GMRs, and that manipulating the expression has larger consequences for genes with higher GCH. Therefore, we launch the hypothesis that silencing the GMR may selectively kill the cancer cells from a tissue.
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