{"title":"RNA-Seq analysis of human cell lines established from normal and neoplastic esophageal squamous epithelium","authors":"Ichiro Akagi , Osamu Ishibashi","doi":"10.1016/j.gdata.2017.02.002","DOIUrl":null,"url":null,"abstract":"<div><p>Esophageal cancer (EC) is the eighth most common cancer globally in 2012 and predominantly occurs in the man (Enzinger and Mayer, 2003; Conteduca et al., 2012). EC is classified mainly into two types, esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma, accounting for 60–70% and 20–30% of all EC cases, respectively. In a previous statistical study it was reported that the numbers of new EC cases and EC-related deaths worldwide in 2008 were estimated to be 482,300 and 406,800, respectively (Jemal et al., 2011). This high mortality rate is largely due to the characteristics of EC such as frequent distant/local metastasis and poor subjective symptoms leading to difficulty with early diagnosis. Patients affected with EC diagnosed at late stages mostly have unsatisfactory prognosis, even though various therapeutic options are available. Therefore, there is an urgent need to develop effective methods that enable the early detection of EC (Orringer, 1993), prompting us to search for novel biomarkers for EC. Here, we provide datasets from RNA-Seq analysis of Het-1A, a normal human esophageal squamous cell line (Stoner et al., 1991), and TE-1, TE-5, and TE-8, which are well-, poorly-, and moderately-differentiated ESCC-derived cell lines, respectively (Nishihira et al., 1993). The raw data of these experiments have been deposited at DNA Data Bank of Japan (DDBJ) under the accession IDs DRR084199, DRR084200, DRR084201, and DRR084202.</p></div>","PeriodicalId":56340,"journal":{"name":"Genomics Data","volume":"12 ","pages":"Pages 4-6"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.gdata.2017.02.002","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genomics Data","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213596017300235","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Esophageal cancer (EC) is the eighth most common cancer globally in 2012 and predominantly occurs in the man (Enzinger and Mayer, 2003; Conteduca et al., 2012). EC is classified mainly into two types, esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma, accounting for 60–70% and 20–30% of all EC cases, respectively. In a previous statistical study it was reported that the numbers of new EC cases and EC-related deaths worldwide in 2008 were estimated to be 482,300 and 406,800, respectively (Jemal et al., 2011). This high mortality rate is largely due to the characteristics of EC such as frequent distant/local metastasis and poor subjective symptoms leading to difficulty with early diagnosis. Patients affected with EC diagnosed at late stages mostly have unsatisfactory prognosis, even though various therapeutic options are available. Therefore, there is an urgent need to develop effective methods that enable the early detection of EC (Orringer, 1993), prompting us to search for novel biomarkers for EC. Here, we provide datasets from RNA-Seq analysis of Het-1A, a normal human esophageal squamous cell line (Stoner et al., 1991), and TE-1, TE-5, and TE-8, which are well-, poorly-, and moderately-differentiated ESCC-derived cell lines, respectively (Nishihira et al., 1993). The raw data of these experiments have been deposited at DNA Data Bank of Japan (DDBJ) under the accession IDs DRR084199, DRR084200, DRR084201, and DRR084202.
食管癌(EC)是2012年全球第八大常见癌症,主要发生在男性中(Enzinger and Mayer, 2003;Conteduca et al., 2012)。EC主要分为食管鳞状细胞癌(ESCC)和食管腺癌两种类型,分别占所有EC病例的60-70%和20-30%。据以前的一项统计研究报告,2008年全球新发欧共体病例和与欧共体相关的死亡人数估计分别为482,300人和406,800人(Jemal等,2011年)。这种高死亡率主要是由于EC的特点,如频繁的远处/局部转移和较差的主观症状导致早期诊断困难。尽管有多种治疗选择,但晚期确诊的EC患者大多预后不理想。因此,迫切需要开发能够早期发现EC的有效方法(Orringer, 1993),这促使我们寻找新的EC生物标志物。在这里,我们提供了来自Het-1A的RNA-Seq分析数据集,Het-1A是一种正常的人食管鳞状细胞系(Stoner et al., 1991), TE-1、TE-5和TE-8分别是分化良好、分化不良和中等分化的escc来源细胞系(Nishihira et al., 1993)。实验原始数据已存入日本DNA数据库(DDBJ),登录id为DRR084199、DRR084200、DRR084201和DRR084202。