Citations

Abstract Genetic risks in breast cancer remain only partly understood. Here, we report the results of a genome-wide association study of germline DNA from 4,658 women, including 252 women experiencing a breast cancer recurrence, who were entered on the MA.27 adjuvant trial comparing the aromatase inhibitors (AI) anastrozole and exemestane. Single-nucleotide polymorphisms (SNP) of top significance were identified in the gene encoding MIR2052HG, a long noncoding RNA of unknown function. Heterozygous or homozygous individuals for variant alleles exhibited a ∼40% or ∼63% decrease, respectively, in the hazard of breast cancer recurrence relative to homozygous wild-type individuals. Functional genomic studies in lymphoblastoid cell lines and ERα-positive breast cancer cell lines showed that expression from MIR2052HG and the ESR1 gene encoding estrogen receptor-α (ERα) was induced by estrogen and AI in a SNP-dependent manner. Variant SNP genotypes exhibited increased ERα binding to estrogen response elements, relative to wild-type genotypes, a pattern that was reversed by AI treatment. Further, variant SNPs were associated with lower expression of MIR2052HG and ERα. RNAi-mediated silencing of MIR2052HG in breast cancer cell lines decreased ERα expression, cell proliferation, and anchorage-independent colony formation. Mechanistic investigations revealed that MIR2052HG sustained ERα levels both by promoting AKT/FOXO3-mediated ESR1 transcription and by limiting ubiquitin-mediated, proteasome-dependent degradation of ERα. Taken together, our results define MIR2052HS as a functionally polymorphic gene that affects risks of breast cancer recurrence in women treated with AI. More broadly, our results offer a pharmacogenomic basis to understand differences in the response of breast cancer patients to AI therapy. Cancer Res; 76(23); 7012–23. ©2016 AACR.

Abstract Background: Intrinsic resistance has been linked to ER down-regulation and poor clinical outcome in breast tumors. Aurora-A kinase (AURKA) promotes distant metastases through activation of epithelial to mesenchymal transition (EMT) programming and expansion of breast tumor initiating cells (BTICs) harboring a CD44high/CD24low phenotype. Moreover, AURKA induces down-regulation of ERα expression and resistance to endocrine therapy that is mediated by SMAD5 transcription factor (D’Assoro et al., Oncogene 2014: 33:599-610). The aim of this study was to evaluate the role of AURKA in endocrine resistance induced by breast cancer stemness and ER down-regulation. Materials and Methods: We employed parental MCF-7 and variant MCF-7 cells ex-vivo (vMCF- 7/LCC9, vMCF-7/FR) that have high endogenous levels of AURKA, are ERlow, and exhibit in vivo resistance to fulvestrant. Real-Time Cell Proliferation and Apoptosis assays were performed to assess response to endocrine and/or AURKA-targeted therapy using the innovative IncuCyte ZOOM System. Stemness activity was assessed by culturing breast cancer cells under non-adherent conditions to generate mammospheres. Expression of ER, CD44 and CD24 markers was characterized by FACS analysis and immunofluorescence. Results: Pharmacologic inhibition of AURKA activity with the small molecule, alisertib, significantly restored sensitivity to fulvestrant in vMCF-7/LCC9 and vMCF-7/FR cells. To establish whether fulvestrant resistance was linked to enrichment of BTICs, breast cancer cells were cultured under non-adherent conditions to generate mammospheres. vMCF-7/FR cells generated mammospheres at higher efficiency compared to parental cells suggesting that vMCF-7/FR cells exhibited high self-renewal activity. vMCF-7/FR-derived mammospheres displayed a stem cell-like CD44high/CD24low phenotype that was further characterized by low levels of ER expression and resistance to fulvestrant. When vMCF-7 FR-derived mammospheres were treated with alisertib alone or combined with fulvestrant, the combination was more effective in mediating restoration of endocrine sensitivity. The phenotype of the alisertib-treated mammospheres was functionally linked to loss of CD44 expression, restoration of CD24 and ER expression, and sensitivity to fulvestrant. Conclusions: These findings provide further evidence that AURKA activity plays a central role in breast cancer progression through the genesis and clonal expansion of BTICs that are characterized by ER down-regulation and resistance to endocrine therapy. These results are important for the treatment of endocrine resistant breast tumors because they provide the rationale for the development of an innovative therapeutic approach to combine endocrine therapy with a targeted inhibitor of AURKA activity. Citation Format: Antonino B. D’Assoro, Tufia Haddad, Matthew Goetz, Mary Kuffel, John Hawse, Vera Suman, Jeffrey Salisbury, James Ingle, Evanthia Galanis. Pharmacologic targeting of Aurora-A kinase restores ERα expression and endocrine sensitivity through impairment of breast cancer stemness. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 3313.

Abstract INTRODUCTION: The tumor microenvironment consists of a complicated interplay between a heterogeneous mixture of tumor cells and the surrounding tissue and there is a burgeoning interest in the role of the tissue microbiota within this microenvironment. Our group has investigated the breast tumor microbiome using the unaligned (non-human) reads from 796 RNASequencing data obtained from The Cancer Genome Atlas (TCGA) repository of Breast Cancer. METHODS: Unmapped sequences for 720 TCGA tumor samples and 76 paired normal samples were analyzed with Kraken v0.10.5 using the RefSeq 16S and standard genomes. To minimize false discoveries Kraken results were filtered to species that have bacterial genomic and 16S read support. Cluster analysis of the T-distributed Stochastic Neighbor Embedding (tsne) was performed and consensus voting of 26 maximum scoring metrics identified 3 distinct clusters. Differential abundance analysis was performed with the edgeR package. Covariate association analysis was performed for tumor clinical characteristics, as well as sample heterogeneity characteristics. RESULTS: There were three microbiome clusters we identified using TCGA breast samples. The average silhouette width of the third cluster was deemed statistically insignificant (0.071), suggesting further stratification of this cluster is necessary. The remaining two TCGA clusters (467) shared an average silhouette width of 0.39, using Bray's dissimilarity index. Differential abundance analysis of the two clusters after Bonferroni correction identified 450 significant species. The biomes were represented by 63 triple negative, 93 HER2+, 258 Luminal, and 50 tumor adjacent normals. Concordant cluster assignment was observed in 93.7 +/- 7.3% of the normal-tumor pairings, averaged across clinical subtypes. We observed clear delineation of biome populations at the order taxonomic level, which was not associated with the clinical subtype or the tumor/tumor adjacent pairings. We found enrichment of Burkholderiales in the first biome and enrichment of Bacillales and Lactobacillales within the second biome. The second biome appears to be deplete of representatives from the Asian population (p value 0.005) and survival associations were observed to be significantly reduced for HER2 patients associated with Biome 1 (p value 0.025). Geneset enrichment analysis of the expression signatures indicated drug metabolism and chemical carcinogenesis pathways to be associated with biome 2. CONCLUSIONS: In our study, we observed two significantly different microbiomes among TCGA breast cancer samples that were not associated with the clinical subtypes. Current efforts include validating these biomes, using 16S sequencing on matching fresh frozen paraffin embedded samples. Additionally, we are evaluating the influence of the biomes in independent adjuvant and neo-adjuvant studies with next generation sequencing data. Citation Format: Kevin J. Thompson, Jason Sinnwell, Xiaojia Tang, James N. Ingle, Matthew P. Goetz, Krishna R. Kalari. Distinct microbiome populations within breast cancer microenvironments. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 3298.

Abstract Background: Mutations in BRCA1 and BRCA2 influence the molecular pathogenesis of breast cancer. However, little is known about the association between mutations, response to therapy, and prognosis. We therefore analysed these associations in triple negative breast cancer (TNBC) patients in the neoadjuvant GeparQuinto Study. Methods: The GeparQuinto study recruited 1956 patients with HER2 negative disease including a prespecified group of 671 TNBC patients with untreated breast cancer. Patients were randomized to receive four cycles EC (90/600 mg/m2; q3w) followed by four cycles docetaxel (100 mg/m2; q3w), with or without bevacizumab (15 mg/kg). Here we present the analysis for both randomization arms combined. Sufficient blood was available of 482 TNBC patients. BRCA1 and BRCA2 genotyping was successful in 469 patients with available germline DNA and was conducted by SureSelect custom capture and sequencing on HiSeq 2500. Mutation status was correlated with pathological complete response rates (pCR) and disease free survival (DFS). Results: A total of 74 (15.8%) mutations in BRCA1 (n=61) and BRCA2 (n=13) were detected after initial sequencing. A pCR (ypT0/ypN0) was observed in 50% (n=37) of mutation carriers but only 31.1% (n=123) of patients without mutations (p=0.002). Similar results were observed for pCR (pT0is/pN0) (52.7% vs. 36.5%; p=0.010). pCR (ypT0/ypN0) was predictive of disease free survival (DFS) in all patients (Hazard Ratio, HR=0.23; 95%CI: 0.15-0.37; p<0.001) and in patients without BRCA mutations pCR (ypT0/ypN0) (HR= 0.20; 95%CI: 0.11-0.34; p<0.001). However in mutation carriers this effect was reduced (HR=0.48; 95%CI: 0.18 1.27; p=0.129). Conclusion: TNBC Patients with BRCA mutations showed a higher frequency of pCR than patients without BRCA mutations after treatment with epirubicin, cyclophosphamide and docetaxel (+/ bevacizumab), suggesting that BRCA mutations may influence pCR in response to treatment regimens that do not include platin chemotherapy. pCR as a surrogate marker for DFS was also confirmed in patients without BRCA mutations. In addition, the effect of pCR on prognosis seemed to be smaller among the mutation carriers, although the number of mutation carriers was too low to test for differences between mutation carriers and wildtype patients. The project has partly been funded within NIH-NIGMS U19 GM61388 and the Breast Cancer Research Foundation. Citation Format: Fasching PA, Loibl S, Eidtmann H, Tesch H, Untch M, Hilfrich J, Schem C, Rezai M, Gerber B, Costa SD, Blohmer JU, Fehm TN, Huober J, Liedtke C, Müller V, Nekljudova V, Weber K, Rack B, Rübner M, Wang L, Ingle JN, Weinshilboum RM, von Minckwitz G, Couch F. BRCA mutations, therapy response and prognosis in the neoadjuvant GeparQuinto study. [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 S5-06.

Abstract BACKGROUND: In SWOG-8814A, pts with ER+ node+ breast cancer and low 21 gene recurrence scores (RS) had good prognosis and no CAF benefit, but high RS predicted longer survival from CAF followed by T (CAF-T) vs T (Albain, Lancet Oncol 2010). The aims of SWOG-8814B were to identify novel genes and networks for 1) prognosis of early and late relapse and 2) prediction of CAF benefit, using whole transcriptome expression analysis with next generation RNA sequencing (NGS). METHODS: Stored RNA previously extracted for SWOG-8814A (T, CAF-T arms; T, 5 yrs) was analyzed for RNA/library yield (see companion abstract Cherbavaz et al. for methods). Genes were sequenced and expression of mRNA species was related to disease-free survival (DFS) using Cox proportional hazards. Discovery analyses controlled false discovery rate (FDR) at 10%. Genes were identified for prognosis on T and prediction on CAF-T vs T. Networks of genes/pathways were explored. Early (0-5 yrs) and late (5-13+ yrs) time periods were studied. Gene Ontology, Cytoscape, pathway and hierarchical clustering were used for functional gene and metagene analyses. RESULTS: Of 367 samples, 354 (96%; 142 T, 212 CAF-T; 141 DFS events) had sufficient RNA/library yield, with 20,101 genes sequenced. For prognosis on T, there were 2327 and 568 genes discovered in early and all-yrs follow-up, with only 9 genes prognostic after 5 yrs. Prognosis analyses for residual risk after CAF-T were uninformative. Functional mapping found that genes prognostic for worse DFS were enriched for proliferation (G2M, M-phase), cellular metabolism, DNA repair, stress response and EMT; whereas, those with better DFS involved transcription regulation/repression via zinc finger proteins. Hierarchical clustering (T arm) found significant DFS prognostic metagene signatures for ER-related genes, immune response, ECM/stroma, chromatin remodeling-transcription factor activity and TGFb pathway. All varied for early vs late DFS events. For example, low ER/high stroma expression signatures correlated with high proliferation gene expression and were strongly associated with early events (standardized [st] HR 2.94, p<0.001). Late recurrence was associated with high proliferation, both individually (stHR 1.51, p=.035) and in combination with higher ER expression (stHR 1.51, p=0.09). Fifteen genes predicted CAF benefit (9 better DFS, 6 worse), or 129 genes if FDR relaxed to 20%. Cluster analysis for CAF prediction is ongoing. CONCLUSIONS: Unique genes, clusters and pathways were identified by NGS of archival material in ER+ N+ breast cancer, including previously unreported signatures. While ER, stroma and proliferation-related signatures were associated with early prognosis, proliferation best predicted worse DFS after 5 yrs. NGS of the primary tumor is most informative for early events in pts with only 5 years of T, with few genes selecting only for late relapse. If validated, these signatures may identify pts with excellent DFS despite positive nodes for endocrine therapy alone as well as others for whom chemotherapy and/or biologics are also required . SUPPORT: NCI CA 180888, 180819, 180821, 180820, 180863; in part, Genomic Health, Inc. Citation Format: Albain KS, Crager MR, Barlow WE, Baehner FL, Bergamaschi A, Rae JM, Ravdin PM, Tripathy D, Gralow JR, Livingston RB, Osborne CK, Ingle JN, Pritchard KI, Davidson NE, Carey LA, Cherbavaz DB, Sing AP, Shak S, Hortobagyi GN, Hayes DF. Molecular predictors of outcome on adjuvant CAF plus tamoxifen (T) vs T in postmenopausal patients (pts) with ER+, node+ breast cancer – Transcriptome expression analysis of the phase III trial SWOG-8814. [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 S3-02.

Abstract Background: AI's are more effective than TAM in ER+ breast cancer. In AI refractory MBC, the response rate to TAM is 0% (Osborne 2011). Z-Endx is an active metabolite of TAM and among TAM treated women in the adjuvant and metastatic settings, reduced CYP2D6 metabolism and low Endx concentrations (Css <20 nM) have been associated with increased likelihood of disease recurrence. Preclinical studies have demonstrated greater Z-Endx exposure and anti-tumor activity with oral Z-Endx compared to equivalent doses of oral TAM (Reid 2014) Methods: We conducted a phase I trial to determine the maximum-tolerated dose (MTD) and evaluate the toxicities, clinical activity, and pharmacokinetics (PK) of Z-Endx in patients (pts) with ER+, AI refractory MBC. Unlimited prior endocrine regimens were allowed. An accelerated titration schedule was applied (2 pts/dose level) until moderate toxicity or DLT, followed by a 3+3 design and then to expansion cohorts (40, 80, and 100 mg/day). Z-Endx was administered orally once daily (28 day cycle). Eye exams were performed at baseline, and end of cycles 2 and 6. PK was performed during cycle 1 and prior to subsequent cycles. For pts in the expansion cohorts, tumor biopsies were obtained at baseline for DNA sequencing (Foundation Medicine). Plasma cholesterol levels were obtained at baseline and after 1 cycle. Results: From March 2011 to Dec 2014, 41 pts (38 evaluable), median age 60, received Z-Endx once daily encompassing 7 dose levels (20-160 mg/daily). The median number of prior hormonal regimens was 2 and 3 for the dose escalation and expansion cohorts, respectively. Dose escalation was stopped at 160 mg/day given MTD not reached and attainment of mean Endx Css of 3.6 uM. Cycle 1 DLT (PE) was observed in one patient (60 mg). No eye toxicity was observed. PK demonstrated mean Endx Css of > 1 uM at all dose levels ≥ 40 mg/day. Antitumor activity was observed at multiple dose levels including 3 confirmed partial responses and an additional 7 with stable disease for ≥6 cycles. Of these 10 pts, 9 had prior progression on both AI and fulvestrant and 3 additionally on TAM. After 1 cycle, total and LDL cholesterol decreased > 20 points in 54% and 40% of pts, respectively. Tumor sequencing in the expansion cohorts (n=14) did not identify ESR1 mutations; however, ESR1 amplification was identified in 1 pt with prolonged stable disease (>200 days). Of 6 pts with rapid progression (≤2 cycles), 4/6 had either CCND1 amplification (n=1) or at least one of the following activating mutations: ERBB2 L755S (n=1), AKT1 E17K (n=1), MTOR E1799K (n=1). Conclusions: The direct administration of Z-END provides substantial drug exposure, acceptable toxicity, and "proof of principle" antitumor activity in endocrine resistant MBC. While the MTD was not determined, the goal of achieving Endx Css concentrations of > 1 uM was achieved. Tumor sequencing identified pts with predicted and confirmed endocrine resistance. A randomized phase II comparing endoxifen (80 mg/day) with TAM in AI refractory MBC was recently activated (NCT02311933). Supported in part by CA 133049, CA186686, CA15083, CA116201, and CA15083. Citation Format: Goetz MP, Suman VJ, Reid JM, Northfelt DW, Mahr MA, Dockter T, Kuffel M, Buhrow SA, Safgren SL, McGovern RM, Collins JM, Streicher H, Hawse JR, Haddad TC, Erlichman C, Ames MM, Ingle JN. Final results of a first-in-human phase I study of the tamoxifen (TAM) metabolite, Z-Endoxifen hydrochloride (Z-Endx) in women with aromatase inhibitor (AI) refractory metastatic breast cancer (MBC) (NCT01327781). [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 PD2-03.

Abstract Background: During tumor progression, activation of Aurora A kinase (AURKA) is associated with epithelial to mesenchymal transition (EMT) reprogramming and expansion of a subpopulation of tumor initiating cells harboring a CD44+/CD24low/- phenotype [D'Assoro, Oncogene 2014]. These cells are characterized by their capacity to self-renew, resist drug therapies, and promote distant metastases. In ER+ breast cancer (BC) models, activation of AURKA is associated with down-regulation of ERα expression and resistance to endocrine therapy. Alisertib, a selective inhibitor of AURKA, can reverse EMT and restore tumor ERα expression and sensitivity to endocrine therapy [Opyrchal, PLoS One 2014]. As a single agent in HR+ advanced BC, alisertib was associated with a 6-month clinical benefit rate of 54% and median PFS of 7.9 months [Melichar, Lancet Oncol 2015]. The objectives of this phase I trial were to determine the maximum-tolerated dose (MTD) and evaluate the toxicities and clinical activity of alisertib with fulvestrant in patients (pts) with HR+ advanced BC. Methods: In this standard 3+3 dose-escalation phase I study, pts were assigned to two different oral doses of alisertib (40-50 mg BID on days 1-3, 8-10, 15-17 q 28-day cycle) in combination with standard dose fulvestrant (500 mg IM on day 1 and 15 of cycle 1 and then day 1 q 28-day cycle thereafter). Eligibility included HR+ advanced BC, postmenopausal status, measurable disease or nonmeasurable bone disease by RECIST v1.1, ECOG performance status ≤ 1, unlimited prior endocrine therapies, and ≤ 2 chemotherapy regimens in the metastatic setting. Results: Ten pts enrolled September 2014 - April 2015, and 9 were evaluable for the primary endpoint (one excluded due to ineligibility). The median pt age was 59 (range 48, 73). Prior endocrine therapies included AI (9, 100%), fulvestrant (6, 67%), and everolimus/exemestane (5, 56%). Eight pts (89%) had prior chemotherapy. A median of 4 cycles of therapy have been administered (range 1+, 9+). There were no severe (grade 3+) toxicities reported during cycle 1 at either dose level, thus the MTD was not reached. The cycle 1 grade 1/2 adverse events regardless of attribution were fatigue (6, 67%), neutropenia (5, 56%), anemia (5, 56%), leukopenia (4, 44%), diarrhea (3, 33%), nausea (3, 33%), and mucositis (1, 11%). As of June 3, 2015, 2 pts have discontinued treatment due to disease progression, and 7 remain on treatment with stable disease (Table). One pt with bone only disease had a near CR on PET scan. Dose LevelAlisertib Dose (BID)Treatment Cycles≥ Grade 3 Toxicity, All CyclesProgression-Free Survival (days)1 (n=3)40 mg4, 7+, 9+ 117, 170+, 223+2 (n=6)50 mg1+, 2, 3+, 3+, 4+, 5+grade 4 neutropenia (1 pt)28+, 56, 56+, 57+, 112+, 116++ indicates patients still receiving treatment Conclusion: Alisertib in combination with fulvestrant was well-tolerated. The recommended phase II dose is 50 mg twice daily on days 1-3, 8-10, and 15-17 q 28-day cycle with standard dose fulvestrant. Promising antitumor activity was observed. Correlative tissue evaluation of AURKA expression and other EMT biomarkers is underway. Funding: This work was funded by Takeda Oncology and supported by NIH Grant K12 CA90628 [TCH]. Citation Format: Haddad TC, D'Assoro AB, Suman VJ, Opyrchal M, Goetz MP, Ingle JN. A phase I trial to evaluate the safety of the addition of alisertib to fulvestrant in hormone receptor positive (HR+), advanced breast cancer. [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 P6-13-04.

Abstract BACKGROUND: We previously reported that low 21 gene Recurrence Scores (RS) identify patients with ER-positive, lymph node-positive breast cancer who may not benefit from anthracycline-based adjuvant chemotherapy added to tamoxifen (SWOG-8814A NCI correlative science study; Albain et al. Lancet Oncol 2010). New exploratory and comprehensive quantitative analyses now permit whole transcriptome NGS on residual RNA extracted from FFPE blocks 12-18 years post-fixation. Herein, we report methodology details and feasibility results (see companion abstract, Albain et al., for clinical outcomes correlations). METHODS and RESULTS: Sequencing was carried out in Illumina HiSeq 2000 instruments, yielding 4.2 trillion data points. Messenger RNA expression was quantified using 3rd quartile normalization. Both Library (RNA) and Sequencing Standards showed high quality coverage as measured by median uniquely mapped reads over a 13 month window (168M and 182M, respectively, including duplicate reads). The median absolute deviation (MAD) of the relative log expression (RLE) of mapped reads for the Library and Sequencing Standards was 0.22 and 0.05, respectively. The Library Standard variation was greater than the Sequencing Standard, as library preparation was manual. Of 360 patient samples with sufficient RNA (≥ 100 ng total RNA), 354 (98.3%) were successfully sequenced and included in the final analysis data set. Average library yield was 39 ng/μL. Only 5 libraries failed yield requirements and one library failed expression quality metrics. The median insert length was 120 bp with the first and third quartiles 93 and 152 bp, respectively. After removal of duplicate reads, 82% of reads were uniquely mapped, and the median library size was 8.95M (number of unique mapped reads). Sequences with counts <10 for all 354 patients were excluded. The medians of the 1st, 2nd and 3rd quartiles for exons mapped to the RefSeq database were 20, 40 and 78 counts, and for introns, 72, 134 and 244 counts, respectively. The majority of exonic (86.7%) and intronic (95%) sequences were mapped. There were 20,101 RefSeq mapped exons with counts ≥10. Of these exons, 988 passed additional filtering criteria and were subjected to hierarchical clustering, with Gene Ontology and pathway analysis performed on selected gene expression patterns (for results, see companion abstract of Albain et al.). CONCLUSIONS: High quality whole transcriptome NGS is feasible from decades-old clinical trial FFPE specimens that have not been stored in any special fashion. Controlled laboratory, bioinformatics and biostatistics methods, with inclusion of appropriate process controls, ensure robustness and reliability of the NGS process. This in turn results in the discovery and validation of biologically and clinically relevant variations from prior landmark clinical trials. SUPPORT: NCI CA 180888, CA180819, CA180821, CA180820, CA180863; in part, Genomic Health, Inc. Citation Format: Cherbavaz DB, Hayes DF, Qu K, Crager MR, Barlow WR, Goddard AD, Beasley EM, Jeong J, Collin F, Liu M-L, Rae JM, Ravdin PM, Tripathy D, Gralow JR, Livingston RB, Osborne CK, Ingle JN, Pritchard KI, Davidson NE, Carey LA, Sing AP, Baehner FL, Hortobagyi GN, Shak S, Albain KS. Successful whole transcriptome analysis of 25-year-old breast tumor samples from the phase III trial SWOG-8814 by next generation sequencing (NGS): Standardized analytical methods for exploratory and validation studies. [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 P5-07-01.

Abstract Background: Triple negative breast cancer (TNBC) accounts for approximately 20% of all breast cancer diagnoses. Clinical management of TNBC is limited to surgery, chemotherapy and radiation due to lack of estrogen receptor alpha and HER2 expression. Recently, we have shown that approximately 40% of TNBCs express estrogen receptor beta (ERβ) and have begun to explore the possibility that this receptor could be utilized as a novel therapeutic target for this disease. Methods: To examine the biological functions of ERβ in TNBC, novel ERβ expressing TN cell lines (MDA-MB-231 and Hs578T) were developed. In vitro experiments were employed to determine alterations in the global gene expression profiles, biological pathways, proliferation rates, and cell cycle progression following estrogen or ERβ-specific agonist treatment. Cell line xenografts were also established in athymic ovariectomized nude mice to examine tumoral responses to ERβ targeting agents and to investigate gene and protein expression patterns as well as potential serum biomarkers indicative of therapeutic response. Additionally, using the resources of the Mayo Clinic Breast Cancer Genome Guided Therapy Study (BEAUTY), we have identified, and begun to analyze, ERβ+ and ERβ- patient derived xenografts (PDX) established from women with TNBC. Results: Our studies have revealed that both estrogen and multiple ERβ-specific agonists elicit significant anti-proliferative effects in ERβ+ TNBC cells primarily through a G1/S phase cell cycle arrest. These anti-proliferative effects appear to be mediated by cystatins, a family of small secreted cysteine protease inhibitors which are highly induced following estrogen and ERβ-specific agonist treatment. Conditioned media isolated from estrogen or ERβ-specific agonist treated cells decreased the proliferation rates of multiple non-ERβ expressing cell lines; effects that were completely reversed when cystatins were depleted from the media. In addition, we have shown that activation of ERβ, and the subsequent induction of cystatin gene expression, leads to suppression of canonical TGFβ signaling through multiple mechanisms including suppression of TGFβR2 expression, induction of Smad7 expression and blockade of TGFβ ligand-mediated activation of this pathway both in vitro and in vivo. Finally, ERβ+ TNBC PDXs exhibit significantly decreased tumor growth rates in estrogen-treated mice compared to ERβ- TN breast tumors. Conclusions: Our in vitro and in vivo data show that estrogen and ERβ-specific agonists elicit anti-cancer effects in ERβ+ TNBC. These effects appear to be mediated, in part, by cystatins through their inhibitory effects on canonical TGFB signaling, a pathway known to drive TNBC progression. Importantly, these data lay the foundation for studies aimed at examining the ability to therapeutically target ERβ in TNBC patients. Citation Format: Reese J, Bruinsma E, Subramaniam M, Suman V, Pitel K, Kalari K, Yu J, Wang L, Goetz M, Ingle J, Hawse J. ERβ elicits tumor suppressive effects in triple negative breast cancer through the induction of cystatins and suppression of TGFβ signaling. [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 P5-04-01.