{"title":"Exploring the Role of Long Non-Coding RNAs in Predicting Outcomes for Hepatitis B Patients.","authors":"Hilal Basyegit, Bengu Gireniz Tatar, Sukran Kose, Cumhur Gunduz, Besra Ozmen Yelken, Sunde Yilmaz Susluer","doi":"10.31557/APJCP.2024.25.12.4313","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Hepatitis B is a significant public health issue worldwide. Long noncoding RNAs (lncRNAs) are pivotal in biological mechanisms. The involvement of lncRNAs in hepatitis Hepatitis B remains incompletely understood. This study sought to explore the potential of certain lncRNAs as diagnostic and prognostic markers in hepatitis B, and their ability to differentiate between clinical disease subgroups.</p><p><strong>Methods: </strong>Plasma samples from 204 individuals diagnosed with hepatitis B were meticulously examined for the presence of specific lncRNAs, focusing on those known to be associated with hepatitis B as indicated in the literature. In this study, gene expression levels of 14 lncRNAs were analyzed in three subgroups (chronic, recovered and inactive HBsAg carriers) and compared with those in the healthy control group.</p><p><strong>Results: </strong>The downregulation of the RN7SL1 and Alpha-280 genes in all patients indicates potential diagnostic lncRNAs. ZFHX2-AS1 expression was consistently lower in all subgroups, while SRA1 showed high expression in recovered hepatitis B patients, indicating that it is a descriptive marker. DLG2-AS2 expression increased in the chronic hepatitis B but decreased in the other groups.</p><p><strong>Conclusions: </strong>These findings reveal the prognostic importance of lncRNAs in hepatitis B. The expression levels of ZFHX2-AS1, RN7SL1, PCAT-1, PCA3, SRA1 and Alpha-280 have been identified as crucial biomarkers for the diagnosis of hepatitis B and for distinguishing between its clinical subgroups. A strong association between hepatitis B disease and the gene expression of the DLG2-AS2, HOTTIP, HOTAIRM1, HOXA11-AS, NOS2P3, LINC02665, MEG9, and RNY5 lncRNAs has been suggested.</p>","PeriodicalId":55451,"journal":{"name":"Asian Pacific Journal of Cancer Prevention","volume":"25 12","pages":"4313-4321"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Pacific Journal of Cancer Prevention","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31557/APJCP.2024.25.12.4313","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Hepatitis B is a significant public health issue worldwide. Long noncoding RNAs (lncRNAs) are pivotal in biological mechanisms. The involvement of lncRNAs in hepatitis Hepatitis B remains incompletely understood. This study sought to explore the potential of certain lncRNAs as diagnostic and prognostic markers in hepatitis B, and their ability to differentiate between clinical disease subgroups.
Methods: Plasma samples from 204 individuals diagnosed with hepatitis B were meticulously examined for the presence of specific lncRNAs, focusing on those known to be associated with hepatitis B as indicated in the literature. In this study, gene expression levels of 14 lncRNAs were analyzed in three subgroups (chronic, recovered and inactive HBsAg carriers) and compared with those in the healthy control group.
Results: The downregulation of the RN7SL1 and Alpha-280 genes in all patients indicates potential diagnostic lncRNAs. ZFHX2-AS1 expression was consistently lower in all subgroups, while SRA1 showed high expression in recovered hepatitis B patients, indicating that it is a descriptive marker. DLG2-AS2 expression increased in the chronic hepatitis B but decreased in the other groups.
Conclusions: These findings reveal the prognostic importance of lncRNAs in hepatitis B. The expression levels of ZFHX2-AS1, RN7SL1, PCAT-1, PCA3, SRA1 and Alpha-280 have been identified as crucial biomarkers for the diagnosis of hepatitis B and for distinguishing between its clinical subgroups. A strong association between hepatitis B disease and the gene expression of the DLG2-AS2, HOTTIP, HOTAIRM1, HOXA11-AS, NOS2P3, LINC02665, MEG9, and RNY5 lncRNAs has been suggested.
期刊介绍:
Cancer is a very complex disease. While many aspects of carcinoge-nesis and oncogenesis are known, cancer control and prevention at the community level is however still in its infancy. Much more work needs to be done and many more steps need to be taken before effective strategies are developed. The multidisciplinary approaches and efforts to understand and control cancer in an effective and efficient manner, require highly trained scientists in all branches of the cancer sciences, from cellular and molecular aspects to patient care and palliation.
The Asia Pacific Organization for Cancer Prevention (APOCP) and its official publication, the Asia Pacific Journal of Cancer Prevention (APJCP), have served the community of cancer scientists very well and intends to continue to serve in this capacity to the best of its abilities. One of the objectives of the APOCP is to provide all relevant and current scientific information on the whole spectrum of cancer sciences. They aim to do this by providing a forum for communication and propagation of original and innovative research findings that have relevance to understanding the etiology, progression, treatment, and survival of patients, through their journal. The APJCP with its distinguished, diverse, and Asia-wide team of editors, reviewers, and readers, ensure the highest standards of research communication within the cancer sciences community across Asia as well as globally.
The APJCP publishes original research results under the following categories:
-Epidemiology, detection and screening.
-Cellular research and bio-markers.
-Identification of bio-targets and agents with novel mechanisms of action.
-Optimal clinical use of existing anti-cancer agents, including combination therapies.
-Radiation and surgery.
-Palliative care.
-Patient adherence, quality of life, satisfaction.
-Health economic evaluations.