{"title":"Identification of Potential Long Non-coding RNA Biomarkers for Breast Cancer Patients with Somatic BRCA1 Mutations from RNA-Seq Datasets","authors":"Jia-Hua Cai, Yu-Ching Chen, H. Chu, J. Tsai","doi":"10.1109/BIBE.2018.00060","DOIUrl":null,"url":null,"abstract":"The gene BRCA1 is a human tumor suppressor gene found in all humans, and it was reported that around 5-10% of people with breast cancer have a mutation of their BRCA1 genes. In this study, we investigated potential long non-coding RNA biomarkers for BRCA1 mutation carriers breast cancer cases. From differential expression analysis of RNA-Seq data, we identified 6 significant long non-coding genes (p-value < 0.05). There are three long non-coding genes which were reported as potential biomarkers in breast cancer: AC008268.1, AC091013.1 and AL021395.1. Then the other three genes (AC008592.5, AC090204.1, LINC02570) are novel candidates reported in this study.","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":"2","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.2018.00060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The gene BRCA1 is a human tumor suppressor gene found in all humans, and it was reported that around 5-10% of people with breast cancer have a mutation of their BRCA1 genes. In this study, we investigated potential long non-coding RNA biomarkers for BRCA1 mutation carriers breast cancer cases. From differential expression analysis of RNA-Seq data, we identified 6 significant long non-coding genes (p-value < 0.05). There are three long non-coding genes which were reported as potential biomarkers in breast cancer: AC008268.1, AC091013.1 and AL021395.1. Then the other three genes (AC008592.5, AC090204.1, LINC02570) are novel candidates reported in this study.
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