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

dc.contributor.advisorSchneider, Bryan P.
dc.contributor.authorRadovich, Milan
dc.contributor.otherFlockhart, David A.
dc.contributor.otherIvan, Mircea
dc.contributor.otherHerbert, Brittney-Shea
dc.contributor.otherGrimes, Brenda R.
dc.contributor.otherNakshatri, Harikrishna
dc.date.accessioned2012-03-16T17:33:58Z
dc.date.available2012-03-16T17:33:58Z
dc.date.issued2012-03-16
dc.degree.date2011en_US
dc.degree.disciplineDepartment of Medical & Molecular Geneticsen
dc.degree.grantorIndiana Universityen_US
dc.degree.levelPh.D.en_US
dc.descriptionIndiana University-Purdue University Indianapolis (IUPUI)en_US
dc.description.abstractTriple-negative breast cancers (TNBCs) are negative for the expression of estrogen (ER), progesterone (PR), and HER-2 receptors. TNBC accounts for 15% of all breast cancers and results in disproportionally higher mortality compared to ER & HER2-positive tumours. Moreover, there is a paucity of therapies for this subtype of breast cancer resulting primarily from an inadequate understanding of the transcriptional differences that differentiate TNBC from normal breast. To this end, we embarked on a comprehensive examination of the transcriptomes of TNBCs and normal breast tissues using next-generation whole transcriptome sequencing (RNA-Seq). By comparing RNA-seq data from these tissues, we report the presence of differentially expressed coding and non-coding genes, novel transcribed regions, and mutations not previously reported in breast cancer. From these data we have identified two major themes. First, BRCA1 mutations are well known to be associated with development of TNBC. From these data we have identified many genes that work in concert with BRCA1 that are dysregulated suggesting a role of BRCA1 associated genes with sporadic TNBC. In addition, we observe a mutational profile in genes also associated with BRCA1 and DNA repair that lend more evidence to its role. Second, we demonstrate that using microdissected normal epithelium maybe an optimal comparator when searching for novel therapeutic targets for TNBC. Previous studies have used other controls such as reduction mammoplasties, adjacent normal tissue, or other breast cancer subtypes, which may be sub-optimal and have lead to identifying ineffective therapeutic targets. Our data suggests that the comparison of microdissected ductal epithelium to TNBC can identify potential therapeutic targets that may lead to be better clinical efficacy. In summation, with these data, we provide a detailed transcriptional landscape of TNBC and normal breast that we believe will lead to a better understanding of this complex disease.en_US
dc.identifier.urihttps://hdl.handle.net/1805/2745
dc.identifier.urihttp://dx.doi.org/10.7912/C2/1947
dc.language.isoen_USen_US
dc.subjectBreast Canceren_US
dc.subjectTriple-Negative Breast Canceren_US
dc.subjectNormal Breasten_US
dc.subjectNext Generation Sequencingen_US
dc.subjectRNA-Seqen_US
dc.subject.lcshBreast -- Canceren_US
dc.subject.lcshBRCA genesen_US
dc.subject.lcshGenetic transcriptionen_US
dc.subject.meshTranscriptomeen_US
dc.titleDECODING THE TRANSCRIPTIONAL LANDSCAPE OF TRIPLE-NEGATIVE BREAST CANCER USING NEXT GENERATION WHOLE TRANSCRIPTOME SEQUENCINGen_US
dc.typeThesisen
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