{"title":"Quantitative Analysis of ECI2 Expression from RNA-Seq for Breast Cancer Gene Signatures","authors":"Ming-Yi Yen, H. Chu, Yu-Ching Chen, J. Tsai","doi":"10.1109/BIBE.2018.00055","DOIUrl":null,"url":null,"abstract":"The ECI2 gene encodes a isomerase of mammalian peroxisomes, and one of ECI2 isoforms was found as an important cancer antigen called as hepatocellular carcinoma-associated antigen 64 (HCA64). Recently, it was also found as a gene signature for the prognosis of other cancers such as breast cancer and prostate cancer. High-throughput RNA sequencing has become the state-of-the-art method for measuring the levels of gene expression. This paper studies the expression analysis of breast cancer gene signatures with both Hisat2 and RSEM programs from breast cancer RNA-Seq datasets. The results showed that the transcript of HCA64 was only expressed in only part of breast cancer samples.","PeriodicalId":127507,"journal":{"name":"2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBE.2018.00055","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The ECI2 gene encodes a isomerase of mammalian peroxisomes, and one of ECI2 isoforms was found as an important cancer antigen called as hepatocellular carcinoma-associated antigen 64 (HCA64). Recently, it was also found as a gene signature for the prognosis of other cancers such as breast cancer and prostate cancer. High-throughput RNA sequencing has become the state-of-the-art method for measuring the levels of gene expression. This paper studies the expression analysis of breast cancer gene signatures with both Hisat2 and RSEM programs from breast cancer RNA-Seq datasets. The results showed that the transcript of HCA64 was only expressed in only part of breast cancer samples.