{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T02:53:12Z","timestamp":1778899992588,"version":"3.51.4"},"reference-count":48,"publisher":"Public Library of Science (PLoS)","issue":"2","license":[{"start":{"date-parts":[[2021,2,25]],"date-time":"2021-02-25T00:00:00Z","timestamp":1614211200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:p>Adult T-cell leukemia\/lymphoma (ATLL) is virus-caused cancer that originates from the infection by human T-cell leukemia virus type 1. ATLL dysregulates various biological pathways related to the viral infection and cancer progression through the dysexpression of miRNAs and mRNAs. In this study, the potential regulatory subnetworks were constructed aiming to shed light on the pathogenesis mechanism of ATLL. For this purpose, two mRNA and one miRNA expression datasets were firstly downloaded from the GEO database. Next, the differentially expressed genes and miRNAs (DEGs and DE-miRNAs, respectively), as well as differentially co-expressed gene pairs (DCGs), were determined. Afterward, common DEGs and DCGs targeted by experimentally validated DE-miRNAs were explored. The oncogenic and anti-oncogenic miRNA-mRNA regulatory subnetworks were then generated. The expression levels of four genes and two miRNAs were examined in the blood samples by qRT-PCR. The members of three oncogenic\/anti-oncogenic subnetworks were generally enriched in immune, virus, and cancer-related pathways. Among them, <jats:italic>FZD6<\/jats:italic>, <jats:italic>THBS4<\/jats:italic>, <jats:italic>SIRT1<\/jats:italic>, <jats:italic>CPNE3<\/jats:italic>, miR-142-3p, and miR-451a were further validated by real-time PCR. The significant up-regulation of <jats:italic>FZD6<\/jats:italic>, <jats:italic>THBS4<\/jats:italic>, and miR-451a as well as down-regulation of <jats:italic>CPNE3<\/jats:italic>, <jats:italic>SIRT1<\/jats:italic>, and miR-142-3p were found in ATLL samples than normal samples. The identified oncogenic\/anti-oncogenic subnetworks are pieces of the pathogenesis puzzle of ATLL. The ultimate winner is probably an oncogenic network that determines the final fate of the disease. The identified genes and miRNAs are proposed as novel prognostic biomarkers for ATLL.<\/jats:p>","DOI":"10.1371\/journal.pone.0247713","type":"journal-article","created":{"date-parts":[[2021,2,25]],"date-time":"2021-02-25T18:37:41Z","timestamp":1614278261000},"page":"e0247713","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":17,"title":["Deciphering microRNA-mRNA regulatory network in adult T-cell leukemia\/lymphoma; the battle between oncogenes and anti-oncogenes"],"prefix":"10.1371","volume":"16","author":[{"given":"Mohadeseh 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