{"title":"HOTAIR表达检测在预测肝细胞癌治疗目标方面的价值:一项荟萃分析和生物信息学分析。","authors":"Ping Wen, Xiyu Qi, Ruzhen Zheng","doi":"10.1177/03936155241252458","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Several studies show that the long non-coding RNA HOX transcript antisense RNA (HOTAIR) was upregulated in human cancer, which was associated with several clinical features and may have the potential to be prognostic markers. However, the significance of HOTAIR in hepatocellular carcinoma remains unclear. We performed a meta-analysis and bioanalysis to further investigate the association between HOTAIR and hepatocellular carcinoma.</p><p><strong>Methods: </strong>Eligible literature was systematically retrieved from PubMed, Embase, and Web of Science databases. The pooled hazard ratios with 95% confidence intervals were used to evaluate to the effect. Raw data on HOTAIR expression were obtained from The Cancer Genome Atlas data portals. All bioinformatics analyses were performed using R software (version 4.3.1).</p><p><strong>Results: </strong>We identified eight studies in this meta-analysis with a total of 399 patients. High-level HOTAIR expression was found to be significantly related to advanced tumor node metastasis stage, distant metastasis, poor tumor differentiation, and patients with hepatitis. Correspondingly, HOTAIR was also associated with poor overall survival and relapse-free survival. Subsequently, in bioanalysis, HOTAIR expression was higher in hepatocellular carcinoma as well as poor overall survival. High HOTAIR expression was strongly correlated with tumor node metastasis stage. Kyoto Encyclopedia of Genes and Genomes analysis revealed that the differentially expressed genes related to HOTAIR may be involved in the cancer-associated signaling pathway.</p><p><strong>Conclusion: </strong>HOTAIR may be a potential biomarker for HCC prediction and is expected to become a new choice for clinical HCC prediction..</p>","PeriodicalId":50334,"journal":{"name":"International Journal of Biological Markers","volume":" ","pages":"239-247"},"PeriodicalIF":2.3000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Value of the HOTAIR expression assay in predicting therapy target in hepatocellular carcinoma: A meta-analysis and bioinformatics analysis.\",\"authors\":\"Ping Wen, Xiyu Qi, Ruzhen Zheng\",\"doi\":\"10.1177/03936155241252458\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Several studies show that the long non-coding RNA HOX transcript antisense RNA (HOTAIR) was upregulated in human cancer, which was associated with several clinical features and may have the potential to be prognostic markers. However, the significance of HOTAIR in hepatocellular carcinoma remains unclear. We performed a meta-analysis and bioanalysis to further investigate the association between HOTAIR and hepatocellular carcinoma.</p><p><strong>Methods: </strong>Eligible literature was systematically retrieved from PubMed, Embase, and Web of Science databases. The pooled hazard ratios with 95% confidence intervals were used to evaluate to the effect. Raw data on HOTAIR expression were obtained from The Cancer Genome Atlas data portals. All bioinformatics analyses were performed using R software (version 4.3.1).</p><p><strong>Results: </strong>We identified eight studies in this meta-analysis with a total of 399 patients. High-level HOTAIR expression was found to be significantly related to advanced tumor node metastasis stage, distant metastasis, poor tumor differentiation, and patients with hepatitis. Correspondingly, HOTAIR was also associated with poor overall survival and relapse-free survival. Subsequently, in bioanalysis, HOTAIR expression was higher in hepatocellular carcinoma as well as poor overall survival. High HOTAIR expression was strongly correlated with tumor node metastasis stage. Kyoto Encyclopedia of Genes and Genomes analysis revealed that the differentially expressed genes related to HOTAIR may be involved in the cancer-associated signaling pathway.</p><p><strong>Conclusion: </strong>HOTAIR may be a potential biomarker for HCC prediction and is expected to become a new choice for clinical HCC prediction..</p>\",\"PeriodicalId\":50334,\"journal\":{\"name\":\"International Journal of Biological Markers\",\"volume\":\" \",\"pages\":\"239-247\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Biological Markers\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/03936155241252458\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/5/15 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Biological Markers","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/03936155241252458","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/5/15 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
背景:多项研究表明,长非编码RNA HOX转录本反义RNA(HOTAIR)在人类癌症中上调,这与多种临床特征相关,并有可能成为预后标志物。然而,HOTAIR在肝细胞癌中的意义仍不清楚。我们进行了一项荟萃分析和生物分析,以进一步研究HOTAIR与肝细胞癌之间的关系:从 PubMed、Embase 和 Web of Science 数据库中系统检索了符合条件的文献。方法:从PubM、Embed和Web Science数据库中系统检索了符合条件的文献,并使用汇集的危险比和95%置信区间来评估效应。HOTAIR表达的原始数据来自癌症基因组图谱数据门户。所有生物信息学分析均使用 R 软件(4.3.1 版)进行:我们在这项荟萃分析中确定了八项研究,共涉及 399 名患者。研究发现,HOTAIR的高水平表达与晚期肿瘤结节转移期、远处转移、肿瘤分化差以及肝炎患者有显著相关性。相应地,HOTAIR 也与总生存期和无复发生存期差有关。随后,在生物分析中,HOTAIR 在肝细胞癌中的表达较高,总生存率也较低。HOTAIR的高表达与肿瘤结节转移分期密切相关。京都基因和基因组百科全书》分析显示,与HOTAIR相关的差异表达基因可能参与了癌症相关信号通路:结论:HOTAIR可能是预测HCC的潜在生物标志物,有望成为临床预测HCC的新选择。
Value of the HOTAIR expression assay in predicting therapy target in hepatocellular carcinoma: A meta-analysis and bioinformatics analysis.
Background: Several studies show that the long non-coding RNA HOX transcript antisense RNA (HOTAIR) was upregulated in human cancer, which was associated with several clinical features and may have the potential to be prognostic markers. However, the significance of HOTAIR in hepatocellular carcinoma remains unclear. We performed a meta-analysis and bioanalysis to further investigate the association between HOTAIR and hepatocellular carcinoma.
Methods: Eligible literature was systematically retrieved from PubMed, Embase, and Web of Science databases. The pooled hazard ratios with 95% confidence intervals were used to evaluate to the effect. Raw data on HOTAIR expression were obtained from The Cancer Genome Atlas data portals. All bioinformatics analyses were performed using R software (version 4.3.1).
Results: We identified eight studies in this meta-analysis with a total of 399 patients. High-level HOTAIR expression was found to be significantly related to advanced tumor node metastasis stage, distant metastasis, poor tumor differentiation, and patients with hepatitis. Correspondingly, HOTAIR was also associated with poor overall survival and relapse-free survival. Subsequently, in bioanalysis, HOTAIR expression was higher in hepatocellular carcinoma as well as poor overall survival. High HOTAIR expression was strongly correlated with tumor node metastasis stage. Kyoto Encyclopedia of Genes and Genomes analysis revealed that the differentially expressed genes related to HOTAIR may be involved in the cancer-associated signaling pathway.
Conclusion: HOTAIR may be a potential biomarker for HCC prediction and is expected to become a new choice for clinical HCC prediction..
期刊介绍:
IJBM is an international, online only, peer-reviewed Journal, which publishes original research and critical reviews primarily focused on cancer biomarkers. IJBM targets advanced topics regarding the application of biomarkers in oncology and is dedicated to solid tumors in adult subjects. The clinical scenarios of interests are screening and early diagnosis of cancer, prognostic assessment, prediction of the response to and monitoring of treatment.