DECODING THE TRANSCRIPTIONAL LANDSCAPE OF TRIPLE-NEGATIVE BREAST CANCER USING NEXT GENERATION WHOLE TRANSCRIPTOME SEQUENCING

摘要: Indiana University-Purdue University Indianapolis (IUPUI)%%%%Triple-negative breast cancers (TNBCs) are negative for the expression of estrogen (ER), progesterone (PR), and HER-2 receptors. TNBC accounts 15% all results in disproportionally higher mortality compared to ER & HER2-positive tumours. Moreover, there is a paucity therapies this subtype cancer resulting primarily from an inadequate understanding transcriptional differences that differentiate normal breast. To end, we embarked on comprehensive examination transcriptomes TNBCs tissues using next-generation whole transcriptome sequencing (RNA-Seq). By comparing RNA-seq data these tissues, report presence differentially expressed coding non-coding genes, novel transcribed regions, mutations not previously reported cancer. From have identified two major themes. First, BRCA1 well known be associated with development TNBC. many genes work concert dysregulated suggesting role sporadic In addition, observe mutational profile also DNA repair lend more evidence its role. Second, demonstrate microdissected epithelium maybe optimal comparator when searching therapeutic targets Previous studies used other controls such as reduction mammoplasties, adjacent tissue, or subtypes, which may sub-optimal lead identifying ineffective targets. Our suggests comparison ductal can identify potential better clinical efficacy. summation, data, provide detailed landscape believe will complex disease.