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Rasteh, A. M.

Publications and source records attributed to Rasteh, A. M..

2 recordsLinked to original sources

Pan-Cancer Genetic Profiles of Mitotic DNA Integrity Checkpoint Protein Kinases

BACKGROUNDThe mitotic DNA integrity checkpoint signaling pathway is potentially involved in cancers that regulate genomic stability where protein kinases play a pivotal role. 16 total protein kinase genes are involved in this pathway: ATM, BRSK1, CDK1, CDK2, CHEK1, CHEK2, MAP3K20, NEK11, PLK1, PLK2, PLK3, PRKDC, STK33, TAOK1, TAOK2, and TAOK3. This study aims to provide pan-cancer profiles of the protein kinases in mitotic DNA integrity checkpoint signaling gene set for potential prognostic and diagnostic purposes, as well as future potential therapeutic targets for cancer in a clinical setting. METHODSMulti-omic data was acquired for the 16 genes; over 9000 samples of 33 types of cancer were analyzed to create pan-cancer profiles of SNV, CNV, methylation, mRNA expression, pathway crosstalk, and microRNA regulation networks. RESULTSThe SNV profile showed that most of these genes have a high SNV mutation frequency across some cancer types, such as UCEC and SKCM. The CNVs of some of these genes are associated with the survival of UCEC, KIRP, and LGG. BRCA, KIRC, LUAD, and STAD might be affected by the mRNA expression of these genes which might involve regulation of copy number, methylation, and miRNA. In addition, these genes also cross-talk with some known cancer pathways. CONCLUSIONThe protein kinases in mitotic DNA integrity checkpoint signaling may play a role in cancer development and, with adequate research, could potentially be developed as biomarkers for cancer diagnosis and prognosis. However, further efforts are necessary to validate their clinical value for diagnosis and prognosis and to develop practical applications in clinical settings. Nevertheless, these pan-cancer profiles offer a better overall understanding as well as useful information for future reference regarding mitotic DNA integrity checkpoint signaling in cancer.

genetics↗

Pan-Cancer Genetic Analysis of Mitochondrial DNA Repair Gene Set

BackgroundThe mitochondrial DNA repair has gained attention for its potential impact on pan-cancer genetic analysis. This study investigates the clinical relevance of mitochondrial DNA repair genes: PARP1, DNA 2, PRIMPOL, TP53, MGME1. MethodsUsing multi-omics profiling data and Gene Set Cancer Analysis (GSCA) with normalized SEM mRNA expression, this research analyzes differential expression, gene mutation, and drug correlation. ResultsTP53 was the most commonly mutated mitochondrial-related gene in cancer, with UCS and OV having the highest mutation rates. CPG mutations linked to lowest survival rates. Breast cancer, with various subtypes, was potentially influenced by mitochondrial DNA repair genes. ACC was shown to be high in gene survival analysis. BRCA, USC, LUCS, COAD, and OV showed CNV levels impacting survival. A negative gene expression-methylation correlation was observed and was weakest in KIRC. Mitochondrial DNA repair genes were linked to Cell cycle_A activation. A weak correlation was found between immune infiltration and mitochondrial genes. Few drug compounds were shown to be affected by mitochondrial-related genes. ConclusionUnderstanding mitochondrial-related genes could redefine cancer diagnosis, and prognosis, and serve as therapeutic biomarkers, potentially altering cancer cell behavior and treatment outcomes.

bioinformatics↗