{"title":"Analysis of the Main Checkpoints of the JNK-MAPK Pathway in HTLV-1-Associated Leukemia/Lymphoma via Boolean Network Simulation.","authors":"Shayan Mardi, Arash Letafati, Amin Hosseini, Reza Faraji, Parastoo Hosseini, Sayed-Hamidreza Mozhgani","doi":"10.1007/s10528-024-10916-0","DOIUrl":null,"url":null,"abstract":"<p><p>The c-Jun N-terminal kinase (JNK) pathway is a signal transduction pathway that plays a critical role in cell growth and survival. Its dysregulation is related to various cancers, including adult T-cell leukemia/lymphoma (ATLL), an aggressive peripheral T-cell malignancy caused by human T-cell lymphotropic virus type 1 (HTLV-1) infection. There is currently no vaccine or definitive treatment for ATLL. This research aimed to identify the JNK-MAPK pathway checkpoints to identify possible therapeutic targets using Boolean network analysis. First, the genes involved in the JNK pathway and their interactions were identified and mapped. Next, a Boolean network analysis was performed using the R programming language, which suggested protein kinase B (AKT) and MAP kinase phosphatase (MKP) for further evaluation. Finally, to confirm the effect of these two genes, a clinical study was conducted among ATLL patients and healthy individuals. The quantitative real time polymerase chain reaction (qRT‒PCR) results revealed a statistically significant decrease in the expression of AKT and MKP in ATLL patients compared to normal controls. This highlights the potential role of these two genes as potential therapeutic targets in ATLL.</p>","PeriodicalId":482,"journal":{"name":"Biochemical Genetics","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biochemical Genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s10528-024-10916-0","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The c-Jun N-terminal kinase (JNK) pathway is a signal transduction pathway that plays a critical role in cell growth and survival. Its dysregulation is related to various cancers, including adult T-cell leukemia/lymphoma (ATLL), an aggressive peripheral T-cell malignancy caused by human T-cell lymphotropic virus type 1 (HTLV-1) infection. There is currently no vaccine or definitive treatment for ATLL. This research aimed to identify the JNK-MAPK pathway checkpoints to identify possible therapeutic targets using Boolean network analysis. First, the genes involved in the JNK pathway and their interactions were identified and mapped. Next, a Boolean network analysis was performed using the R programming language, which suggested protein kinase B (AKT) and MAP kinase phosphatase (MKP) for further evaluation. Finally, to confirm the effect of these two genes, a clinical study was conducted among ATLL patients and healthy individuals. The quantitative real time polymerase chain reaction (qRT‒PCR) results revealed a statistically significant decrease in the expression of AKT and MKP in ATLL patients compared to normal controls. This highlights the potential role of these two genes as potential therapeutic targets in ATLL.
期刊介绍:
Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses.
Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication.
Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses.
Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods.
Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.