The Gene Master Regulators (GMR) Approach Provides Legitimate Targets for Personalized, Time-Sensitive Cancer Gene
Sanda Iacobas1, Nneka Ede1, Dumitru A Iacobas2
1Personalized Genomics Laboratory, Center for Computational Systems Biology, Roy G. Perry College of Engineering, Prairie View A&M University, Prairie View, TX 77446, USA.
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.
Insights
This study introduces Gene Master Regulators (GMRs) and Gene Commanding Height (GCH) for personalized cancer gene therapy. Silencing patient-specific GMRs shows potential for selectively eliminating cancer cells.
Area of Science:
- Oncology
- Genomics
- Bioinformatics
Background:
- Cancer exhibits unique transcriptomic profiles necessitating personalized gene therapy.
- Gene Master Regulators (GMRs) control cell phenotype by modulating pathways.
- Gene Commanding Height (GCH) quantifies gene hierarchy based on expression control and correlation.
Purpose of the Study:
- To develop a method for identifying GMRs from patient transcriptomic data.
- To test the GMR approach in various human cancer types.
- To hypothesize GMRs as a target for selective cancer cell elimination.
Main Methods:
- Development of an experimental protocol, mathematical algorithm, and software for GMR identification.
- Analysis of microarray data from kidney, thyroid, and prostate cancer samples and cell lines.
- Experimental validation of GMRs in patient-specific cancer tissues.
Main Results:
- Identification of patient-specific GMRs.
- Demonstration of distinct GMRs governing cancer cells versus normal tissue.
- Confirmation that manipulating genes with higher GCH has greater impact.
Conclusions:
- The GMR approach offers a personalized strategy for gene therapy.
- GMRs are distinct between cancerous and normal tissues within the same patient.
- Silencing GMRs is hypothesized as a selective method for killing cancer cells.
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