{"title":"Differentially expressed AC077690.1, AL049874.3 and AP001037.1 lncRNAs in prostate cancer","authors":"Hexin Li, Xiaokun Tang, Gaoyuan Sun, Siyuan Xu, Luyao Wang, Lanxin Zhang, Ya-qun Zhang, Fei Su, Lili Zhang, Wei Zhang","doi":"10.2298/abs221025034l","DOIUrl":null,"url":null,"abstract":"Prostate cancer (PCa) is a common type of cancer worldwide. The incidence of PCa increases with age and it is the most common malignant tumor in men. Tissue biopsy and the serum prostatespecific antigen are still the standards for diagnosing suspected PCa. Long non-coding RNA (lncRNA) contributes to the progression of PCa by recruiting transcriptional regulators. We utilized highthroughput sequencing data and bioinformatics analysis to identify specifically expressed lncRNAs in PCa and filtered out three specific lncRNAs for further analysis: AC077690.1, AL049874.3 and AP001037.1. We constructed a lncRNA regulatory network and used differentially expressed mRNA interactions to predict the functions of the selected lncRNAs. Functional enrichment analysis and PCR verification of these three lncRNAs revealed that they were closely related to well-known PI3K-AktmTOR and the forkhead box protein (FOXO) signaling pathways involved in PCa. By understanding the related interactions between these molecules and signaling pathways, the lncRNAs could be potential candidates for therapeutic targets in PCa.","PeriodicalId":8145,"journal":{"name":"Archives of Biological Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Biological Sciences","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.2298/abs221025034l","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Prostate cancer (PCa) is a common type of cancer worldwide. The incidence of PCa increases with age and it is the most common malignant tumor in men. Tissue biopsy and the serum prostatespecific antigen are still the standards for diagnosing suspected PCa. Long non-coding RNA (lncRNA) contributes to the progression of PCa by recruiting transcriptional regulators. We utilized highthroughput sequencing data and bioinformatics analysis to identify specifically expressed lncRNAs in PCa and filtered out three specific lncRNAs for further analysis: AC077690.1, AL049874.3 and AP001037.1. We constructed a lncRNA regulatory network and used differentially expressed mRNA interactions to predict the functions of the selected lncRNAs. Functional enrichment analysis and PCR verification of these three lncRNAs revealed that they were closely related to well-known PI3K-AktmTOR and the forkhead box protein (FOXO) signaling pathways involved in PCa. By understanding the related interactions between these molecules and signaling pathways, the lncRNAs could be potential candidates for therapeutic targets in PCa.
期刊介绍:
The Archives of Biological Sciences is a multidisciplinary journal that covers original research in a wide range of subjects in life science, including biology, ecology, human biology and biomedical research.
The Archives of Biological Sciences features articles in genetics, botany and zoology (including higher and lower terrestrial and aquatic plants and animals, prokaryote biology, algology, mycology, entomology, etc.); biological systematics; evolution; biochemistry, molecular and cell biology, including all aspects of normal cell functioning, from embryonic to differentiated tissues and in different pathological states; physiology, including chronobiology, thermal biology, cryobiology; radiobiology; neurobiology; immunology, including human immunology; human biology, including the biological basis of specific human pathologies and disease management.