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Published on: March 1, 2024
Signatures of Co-Deregulated Genes and Their Transcriptional Regulators in Kidney Cancers
Ioanna Ioannou1,2, Angeliki Chatziantoniou1,2, Constantinos Drenios1
1Department of Life Sciences, School of Sciences, European University Cyprus, Nicosia 2404, Cyprus.
Abstract:
There are several studies on the deregulated gene expression profiles in kidney cancer, with varying results depending on the tumor histology and other parameters. None of these, however, have identified the networks that the co-deregulated genes (co-DEGs), across different studies, create. Here, we reanalyzed 10 Gene Expression Omnibus (GEO) studies to detect and annotate co-deregulated signatures across different subtypes of kidney cancer or in single-gene perturbation experiments in kidney cancer cells and/or tissue. Using a systems biology approach, we aimed to decipher the networks they form along with their upstream regulators. Differential expression and upstream regulators, including transcription factors [MYC proto-oncogene (MYC), CCAAT enhancer binding protein delta (CEBPD), RELA proto-oncogene, NF-kB subunit (RELA), zinc finger MIZ-type containing 1 (ZMIZ1), negative elongation factor complex member E (NELFE) and Kruppel-like factor 4 (KLF4)] and protein kinases [Casein kinase 2 alpha 1 (CSNK2A1), mitogen-activated protein kinases 1 (MAPK1) and 14 (MAPK14), Sirtuin 1 (SIRT1), Cyclin dependent kinases 1 (CDK1) and 4 (CDK4), Homeodomain interacting protein kinase 2 (HIPK2) and Extracellular signal-regulated kinases 1 and 2 (ERK1/2)], were computed using the Characteristic Direction, as well as GEO2Enrichr and X2K, respectively, and further subjected to GO and KEGG pathways enrichment analyses. Furthermore, using CMap, DrugMatrix and the LINCS L1000 chemical perturbation databases, we highlight putative repurposing drugs, including Etoposide, Haloperidol, BW-B70C, Triamterene, Chlorphenesin, BRD-K79459005 and β-Estradiol 3-benzoate, among others, that may reverse the expression of the identified co-DEGs in kidney cancers. Of these, the cytotoxic effects of Etoposide, Catecholamine, Cyclosporin A, BW-B70C and Lasalocid sodium were validated in vitro. Overall, we identified critical co-DEGs across different subtypes in kidney cancer, and our results provide an innovative framework for their potential use in the future.
Insights
This study identifies gene networks in kidney cancer by reanalyzing 10 studies. It highlights potential drug repurposing to reverse gene expression changes in kidney tumors.
Area of Science:
- Oncology
- Genomics
- Systems Biology
Background:
- Kidney cancer exhibits deregulated gene expression, but networks of co-deregulated genes (co-DEGs) remain unidentified.
- Previous studies show varying results due to tumor histology and other parameters, lacking a unified network analysis.
Purpose of the Study:
- To identify and annotate co-DEGs and their networks across kidney cancer subtypes using a systems biology approach.
- To uncover upstream regulators and potential therapeutic targets for kidney cancer.
- To identify repurposing drugs that can reverse identified gene expression patterns.
Main Methods:
- Reanalysis of 10 Gene Expression Omnibus (GEO) studies.
- Differential gene expression analysis using Characteristic Direction.
- Upstream regulator analysis (transcription factors and kinases) using GEO2Enrichr and X2K.
- Pathway enrichment analysis (GO and KEGG).
- Drug repurposing identification using CMap, DrugMatrix, and LINCS L1000 databases.
- In vitro validation of drug cytotoxicity.
Main Results:
- Identified critical co-DEGs across different kidney cancer subtypes.
- Determined upstream regulators including MYC, RELA, CSNK2A1, MAPK1, and ERK1/2.
- Highlighted potential repurposing drugs like Etoposide, Haloperidol, and Triamterene.
- Validated in vitro cytotoxic effects of Etoposide, Catecholamine, Cyclosporin A, BW-B70C, and Lasalocid sodium.
Conclusions:
- Established an innovative systems biology framework for analyzing kidney cancer gene expression.
- Identified key co-DEGs and their regulatory networks.
- Provided a list of potential repurposing drugs for kidney cancer treatment, with some validated experimentally.
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