Asmann, YW

Abstract Fusion transcript 24analysis by five groups, each using "in house" analytical workflow to analyze RNA-seq data from 813 breast tumors from The Cancer Genome Atlas project detected 2514 high confidence RNA fusions (2 or more junction spanning reads detected by 2 or more groups). A subset of tumors with fusions were evaluated for chromosomal rearrangement using whole genome sequence data (WGS), and about half of the high confidence fusions could be validated, with the remainder likely subclonal and therefore below the limits of detection by WGS at the relatively low depth of coverage (30X) available. The majority of tumors contained one or more fusion transcript (range 0-24 fusions/tumor), but recurrence of specific chimaeric transcripts was low. Only ESR1->CCDC170, C20orf3->ACSS1, and USP22->MYH10 fusions were detected in 10 or more tumors. Additional ESR1 fusions were detected with AKAP12, BNC2, C6orf211, GNAS, POLH, USP25, and UTRN, within 19 tumors, primarily of the Luminal B subtype. RARA was the second most common 5' fusion partner with 17 tumors, predominately of the HER2-enriched subtype, expressing out of frame RARA fusions to 19 different 3' fusion partners. Other common 5' fusion partners included FBXL20, USP22, USP32, BCAS3, MED1, BPTF, ERBB2, MED24, and PPF1A1 (expressed in 10 or more tumors each). The most common 3' fusion partners were ERBB2, CCDC170, PITPNC1, ACSS1, MYH10, IKZF3, and RAB6A (10 or more tumors each). HER2-enriched tumors expressed significantly more fusions than other subtypes (4.9 fusions/tumor vs 3.3 for Basal-like, 1.3 for LumA, and 3.2 for LumB). Almost all HER2-enriched tumors expressed fusions (97%), whereas 85% of Basal-like tumors and 79% of Luminal B tumors expressed one or more fusions. Among Luminal A tumors, only 48% expressed one or more fusion transcript. Those Luminal A tumors with multiple fusion transcripts contained significantly more copy number aberrations and were enriched for expression of mitotic cell cycle genes (p=3.07E-18), characteristic of the recently described high risk CNH subclass of Luminal A tumors. We conclude that, consistent with other observations, breast tumors generally exhibit a high level of genomic instability, associated with multiple copy number alterations and multiple fusion transcripts. However, recurrence of specific fusion transcripts is low. About half of Luminal A tumors express fusion transcripts; and these tumors exhibit multiple copy number events, consistent with high level genomic instability, as well as enriched expression of mitotic cell cycle genes. These tumors appear to be related to the relatively high risk Luminal A CNH subclass, and express high levels of aurora kinases and polo-like kinases, which might be considered as therapeutic targets. Given the increasing emphasis on transcript profiling of clinical samples and the clinical significance of high risk Luminal A tumors, it may be timely to consider inclusion of fusion transcripts in such analyses as surrogate markers of genomic instability and potential therapeutic and/or prognostic indicators. Citation Format: Thompson EA, Asmann YW, Su X, Ellis MJ, Shao J, Hu Y, White KP, Cherniack AD, Hoadley KA, Serie DJ, Perez EA, Perou CM. A comprehensive analysis of fusion transcripts in breast cancer reveals associations between number of fusion transcripts, copy number events, gene expression profiles, and potentially clinical outcome. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr S4-02.

Abstract Background: Adding adjuvant trastuzumab to chemotherapy for patients (pts) with resected HER2+ breast cancer (BC) improves disease free and overall survival (Perez EA, et al. J Clin Oncol 2011). Understanding which pts are most likely to benefit from these therapies is a goal of our team. Methods: Baseline 1639 annotated tumor specimens from pts enrolled in the phase III N9831 adjuvant trastuzumab trial (NCT00005970) were processed via the >29,000 gene probe DASL technology (Illumina) to identify genomic predictors of pt outcome to Arm A chemotherapy or Arm C chemotherapy plus concurrent trastuzumab. Samples were spotted in 96 well plates, with appropriate replicates. Extensive quality control and internal validation were performed. The association of each gene with recurrence-free survival (RFS) was determined for each treatment arm separately using CoxPH models adjusted for clinical and tumor risk factors. A p < 0.0001 was used to define significance. A geneset analysis (using 408 Kegg/BioCarta genesets) was performed to determine pathways associated with RFS. Results: PRPF4B, EWSR1, BMI1, CNNM1, FOXO4, CLIP2, MCCC1, CHRM2 were found to be significantly associated with RFS for Arm A and AAK1, DAZAP2, TP53INP1, MACF1 and ADHFE1 were associated with RFS for Arm C. The most significant pathway associated with RFS in Arm A was the KEGG hypertrophic cardiomyopathy pathway and for Arm C, the BioCarta pertussis toxin-insensitive CCR5 signaling in macrophage pathway. Conclusions: We have identified 8 genes associated with RFS for pts treated with adjuvant chemotherapy, and 5 genes associated with RFS for pts treated with concurrent trastuzumab and chemotherapy in pts with HER2 early stage BC. In addition, geneset analysis identified BioCarta and Kegg pathways associated with RFS for each arm. Validation in an independent cohort is expected to be completed by the end of 2012. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr PD10-04.

Abstract Background: The role of fusion genes and associated fusion transcripts has long been recognized in hematopoietic malignancies. Until quite recently it has been difficult to detect such events on a genomic scale in solid tumors. Consequently, little is known about the potential role of fusion genes, transcripts, and proteins as driver mutations, biomarkers, or therapeutic targets in breast cancer. Methods: We have developed a novel analytical pipeline, Snowshoes-FTD, for detection of fusion transcripts in breast cancer cell lines and tumor samples (Asmann, et al. NAR 2011; May 27 ePub ahead of print). Preliminary analyses have been carried out with a panel of 8 each ER+, HER2+, and triple negative (TN) primary breast tumors, 8 primary human mammary epithelial cell (HMEC) lines from biopsy samples, plus 16 normal tissues from the Illumina Body Map dataset. Results: We have identified 120 redundant, tumor-specific fusion transcripts, expressed in two or more tumors and in no non-transformed samples. Sixteen of these represent intrachromosomal fusions and 104 arise from fusion of transcripts that map to two different chromosomes. Every breast tumor expressed one or more fusion transcripts. Twenty-nine fusion transcripts appeared to be tumor subtype specific. Among these, we have identified 2 HER2+, 10 ER+, and 17 triple negative specific redundant transcripts. In general, HER2+ tumors expressed fewer fusion transcripts (range 4 to 28/tumor) compared to TN (range11 to 44/tumor). Chromosomal distribution patterns were also markedly different among the tumor subtypes. For example, ER+ tumors expressed a preponderance of redundant fusion transcripts that involve chr1 and 2, whereas TN tumors had no fusion transcripts that map to either chromosome. Conversely, the predominant locus for TN fusion transcripts was chr19, which contains only one HER2+ fusion and no ER+ fusion transcripts. Conclusions: Primary breast tumors express many chimaeric transcripts, which we presume to arise primarily from genomic rearrangements. The majority of these transcripts are redundant, and a subset are tumor subtype specific. These transcripts may mark regions of chromosomal instability. HER2+ tumors, in general, appear to evidence less chromosomal instability, as inferred from fusion transcripts; although some HER2+ tumors appear to be quite unstable. TN tumors contain many more redundant fusion transcripts, implying increased genomic instability, particularly in chr19. We conclude that these fusion transcripts represent a class of heretofore unrecognized biomarkers that may be used for sub-classification of breast tumors. Some of these transcripts appear to encode proteins that may function as tumor-subtype-specific driver mutations and may have potential as therapeutic targets in breast cancer. Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr P3-06-02.

Abstract Abstract #2149 Background: Inhibitors of the insulin-like growth factor 1 receptor (IGF-1R) are currently undergoing clinical testing. Preclinical investigations have identified IGF-1 signaling as a key mechanism for breast cancer growth and resistance to clinically useful therapies, including tamoxifen and trastuzumab. Thus, agents targeting IGF-1R have promise in the treatment of breast cancer. Determining mechanisms that can confer resistance to these agents may aid their clinical development.
 Methods: To understand factors may be important in predicting sensitivity to targeting the IGF-1 signaling pathway, we developed a cell line (MCF-7R4) that is resistant to BMS-554417, a small molecule, dual-kinase inhibitor of IGF-1R and insulin receptor (InsR). Compared with the parental MCF-7 cells, MCF-7R4 cells are 40- to 50-fold resistant to BMS-554417 and cross-resistant to the similar compound BMS-536924. The expression profiles of MCF-7R4 and that of MCF-7 were compared using Affymetrix GeneChip Human Genome U133 Plus 2.0 Arrays. Intracellular concentrations of BMS-536924 were examined by reverse phase high performance liquid chromatography. BMS-536924 cellular accumulation in vitro was visualized by fluorescence microscopy using a DAPI filter set. MCF-7 cells stably transfected with either the empty mammalian expression vector pcDNA (MCF-EV) or full length BCRP (MCF-BCRP) were examined for sensitivity to BMS 536924 by MTS assays.
 Results: Compared to MCF-7 cells, BCRP expression was increased 9-fold in MCF-7R4, which was highly statistically significant by t-test (p= 7.13E-09). Little change was observed in other ABC transporter proteins, including ABCB1. No change was observed in IGF-1R or InsR expression. BCRP overexpression in MCF-7R4 cells was confirmed by western blotting. MCF-7R4 cells had significantly lower intracellular accumulation of BMS-536924 compared to MCF-7 cells. Confirming these results, MCF-BCRP cells were significantly less sensitive to the cytoxic effects of BMS-536924 cells than MCF-EV cells.
 Conclusions: BCRP expression was stimulated by prolonged exposure of MCF-7 cells to BMS-554417. Upregulation of BCRP is one of the most significant changes observed in MCF-7R4 cells in comparison to parental cells. BCRP expression decreased cellular exposure to BMS-536924 and was sufficient to confer resistance. These data suggest that BSM-536924 is a substrate for BCRP-mediated efflux. Expression of BCRP may be important in de novo and acquired resistance to benzimidazole –based inhibitors of IGF-1R/InsR. Supported in part by the Mayo Clinic Breast SPORE (CA116201-03), NIH K12 (CA090628-05) and the Mayo Clinic Cancer Center (CA15083). Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 2149.