Goetz, MP

Abstract Background: Black race is associated with worse outcomes in localized hormone receptor (HR)-positive breast cancer in population-based and in clinical trial cohorts, whether using self-identified race (Albain et al. JNCI 2009 [PMID: 19584328; Sparano et al. JNCI 2012 [PMID: 22250182) or genetically-identified race (Schneider et al. J Precision Oncol 2017 [PMID: 29333527]). This disparity persists after adjustment for treatment delivery parameters (Hershman et al. JCO 2009 [PMID:19307504]). We evaluated clinicopathologic characteristics, treatment delivered and clinical outcomes in the Trial Assigning Individualized Options for Treatment (TAILORx) by race and ethnicity (Sparano et al. NEJM 2018 [PMID: 29860917]). Methods: The analysis included 9719 evaluable TAILORx participants. The association between clinical outcomes and race (white, black, Asian, other/unknown) and ethnicity (Hispanic vs. non-Hispanic) was examined, including invasive disease-free survival (iDFS), distant relapse-free interval (DRFI), relapse-free interval (RFI), and overall survival (OS). Proportional hazards models were fit including age (5 categories), tumor size (>2 cm vs. <=2 cm), histologic grade (high vs. medium vs. low vs. unknown), continuous recurrence score (RS), race, and ethnicity in the overall population and randomized treatment arms in the RS 11-25 cohort. Results: The study population included 8189 (84%) whites, 693 (7%) blacks, 405 (4%) Asians, and 432 (4%) with other/unknown race. Regarding ethnicity, 7635 (79%) were non-Hispanic, 889 (9%) Hispanic, and 1195 (12%) unknown. There was no significant difference in RS distribution (p=0.22) in blacks compared with whites, or in median (17 vs. 17) or mean RS (19.1 vs. 18.2). There was likewise no difference in Hispanic vs. non-Hispanic ethnicity for RS distribution (p=0.72) or median (17 vs. 17) or mean RS (18.5 vs. 18.0). Black race (39% vs. 30%) and Hispanic ethnicity (39% vs. 30%) were both associated with younger age (</=50 years) at diagnosis. The use and type of adjuvant chemotherapy and endocrine therapy, and duration of endocrine therapy, were similar in black (vs. white) and Hispanic (vs. non-Hispanic) populations. In proportional hazards models, black race (compared with white race) was associated with worse clinical outcomes in the entire population and in those with a RS 11-25 (see table). Hispanic ethnicity was generally associated with better outcomes (compared with non-Hispanic ethnicity). For the cohort with a RS of 11-25, there was no evidence for chemotherapy benefit for any racial or ethnic group. Race (black vs.white) and clinical outcomes in proportional hazards modelsClinical endpointEntire Population (N=693 black) Hazard ratio for eventRS 11-25 (N=471 black) Hazard ratio for eveniDFS1.33 (p=0.005)1.49 (p=0.001)DRFI1.21 (p=0.28)1.60 (p=0.02)RFI1.39 (p=0.02)1.80 (p<0.001)OS1.52 (p=0.005)1.67 (p=0.003 Conclusions: In patients eligible and selected for participation in TAILORx, black women had worse clinical outcomes despite similar 21-gene assay RS results and comparable systemic therapy. This adds to an emerging body of evidence suggesting a biologic basis or other factors contributing to racial disparities in HR-positive breast cancer that requires further evaluation. Citation Format: Albain K, Gray RJ, Sparano JA, Makower DF, Pritchard KI, Hayes DF, Geyer, Jr. CE, Dees EC, Goetz MP, Olson, Jr. JA, Lively T, Badve SS, Saphner TJ, Wagner LI, Whelan TJ, Ellis MJ, Paik S, Wood WC, Ravdin PM, Keane MM, Gomez HL, Reddy PS, Goggins TF, Mayer IA, Brufsky AM, Toppmeyer DL, Kaklamani VG, Berenberg JL, Abrams J, Sledge, Jr. GW. Race, ethnicity and clinical outcomes in hormone receptor-positive, HER2-negative, node-negative breast cancer: results from the TAILORx trial [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr GS4-07.

Abstract Background The 21-gene (Oncotype DX) Recurrence Score (RS) is a multi-gene expression assay that is both prognostic and predictive of adjuvant chemotherapy (AdjCT) benefit in estrogen receptor (ER) positive/HER2 negative breast cancer (BC). Use of the RS in TNBC and HER2+ BC is not recommended by national guidelines. Using the National Cancer Database (NCDB), we sought to evaluate whether oncologists use the RS in these subtypes. Additionally, we assessed the prognostic effects of the RS in node negative patients (pts) who did or did not receive adjuvant chemotherapy. Methods Pts with TN and HER2+ BC diagnosed from 2010-2015 in the NCDB were analyzed. Pts with neoadjuvant therapy or stage IV were excluded. Cases with RS testing were classified as low (RS 0-17), intermediate (RS 18-30) or high (RS 31+). Analysis was performed using multivariable logistic regression; overall survival (OS) was analyzed using the Kaplan-Meier method with log-rank tests. Results 142,330 pts were evaluable: 64,830 TNBC and 77,500 HER2+ (21,768 ER-/HER2+ and 55,732 ER+/HER2+). In these subtypes, RS was performed in 5,369 (3.8%) pts as follows: 1,479 (2.3%) TNBC, 185 (0.8%) ER-/HER2+, and 3,705 (6.6%) ER+/HER2+. Given the small ER-/HER2+ cohort, we focused on TNBC and ER+/HER2+. Within these subtypes, factors associated with RS testing included lower grade, smaller pathologic tumor size, pathologic N0 status, white race, age 60-69, and ILC or IMC histology (each p<0.005). Of the TNBC pts tested, the RS distribution was: low 16.3%, intermediate 13.1% and high 70.6%, while for ER+/HER2+ it was low 30.5%, intermediate 30.7% and high 38.8% (p<0.001). AdjCT was less frequently recommended in pts with low RS; however, this varied by tumor subtype with AdjCT recommended for 66.8% of TNBC with low RS and 37.9% of ER+/HER2+ with low RS. For intermediate RS, rates of AdjCT recommendation were 74.3% and 73.7%, and for high RS were 94.0% and 93.2% for TNBC and ER+/HER2+ respectively. In a multivariable analysis among pts with low RS, factors associated with AdjCT recommendation included younger age, larger pathologic tumor size, node positive disease, and higher grade. In AdjCT untreated TNBC, 5 yr OS did not differ for low RS (96.5%) vs intermediate RS (95.2%, p=0.82). In contrast OS was significantly worse for high RS (76.7%) than the other two groups, each p≤0.04. In AdjCT untreated ER+/HER2+, 5 yr OS was significantly better for low RS (96.7%) vs intermediate RS (92.5%, p=0.03) and vs high RS (92.1%, p=0.003), with no difference between intermediate RS vs high RS (p=0.32). Evaluating pts who did receive AdjCT, there was no significant difference in 5 yr OS for either subtype according to RS (p=0.46 and p=0.83). Interestingly, in patients with low RS, 5 yr OS was similar with or without AdjCT in both TNBC (89.5% vs 96.5%, p=0.25) and ER+/HER2+ (97.6% vs 96.7%, p=0.47). Conclusions RS testing is being conducted in a small fraction of pts with TN and HER2+ BC with lower clinical risk features. The observation that RS is prognostic for survival in AdjCT untreated patients is hypothesis generating, and suggests that further evaluation of the RS and other multigene assays in ER negative and HER2+ BC is warranted. Citation Format: Boughey JC, Hoskin TL, Cocco D, Day CN, Leon-Ferre R, Habermann EB, Goetz MP. The 21-gene recurrence score and chemotherapy use in triple negative breast cancer (TNBC) and HER2 positive breast cancer: A National Cancer Database study [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P3-08-09.

Abstract Background: Combining cyclin dependent 4/6 kinase inhibitors (CDK4/6i) with endocrine therapy (ET) has resulted in clinically significant improvements in progression-free survival (PFS) in persons with hormone-receptor (HR)-positive metastatic breast cancer (MBC). However, nearly all patients will progress on CDK4/6i and ET and the mechanisms associated with primary and secondary resistance are mostly unknown. The identification of biomarkers associated with response to CDK4/6i is therefore a major research priority. PROMISE is a multicenter prospective cohort study designed to perform a comprehensive “omic” assessment of blood, tumor, urine and the fecal microbiome to identify alterations in molecular or cellular features associated with primary endocrine resistance (e.g. disease progression ≤ 12 months on treatment) and acquired resistance to CDK4/6i. Additionally, patient derived xenografts (PDX) and organoids are generated to test new drug strategies designed to reverse resistance to CDK4/6i and ET. Methods: Eligible participants include women for whom palbociclib is recommended in combination with either letrozole (first-line) or fulvestrant (second-line) therapy for HR-positive MBC. As of July 2018, 14 patients have been enrolled; the target accrual is 250 patients, who will be followed over the course of 36 months and followed for at least 12 months after the close of enrollment. Blood and tumor biopsies are obtained at baseline, at the end of cycle 2, and at progression. Whole exome sequencing (germline and tumor) and RNAseq (whole transcriptome) are performed on tumor samples in a CAP/CLIA lab (TEMPUS) and results will be provided back to all patients for later use. Additionally, PDX and organoids are generated from tumor biopsies at baseline and during progression. Blood, stool, and urine samples are collected for additional correlative studies. The primary objective of this trial is to identify novel genomic variants and pathways associated with early progression (≤ 12 months) among women with advanced HR-positive breast cancer treated with palbociclib and ET. Secondary objectives include identification of the biomolecular features within the gut (stool) microbiome and exploration of the metabolomics and proteomics of ER-positive MBC. Results from the interrogation of these biospecimens will be critical to gain insights into treatment resistance. Funding is provided by Mayo Clinic Center for Individualized Medicine, TEMPUS, and an ASCO Career Development Award (COS). ClinicalTrials.gov Identifier: NCT03281902. Citation Format: O'Sullivan CC, Suman VJ, Kalari KR, Moyer A, Sung J, Moreno-Aspitia A, Northfelt DW, Liu MC, Haddad TC, Chumsri S, Couch FJ, Weinshilboum RM, Wang L, Goetz MP. Genetic analysis in blood, urine, stool and tumor samples from patients with advanced or metastatic estrogen receptor positive and HER2 negative breast cancer receiving palbociclib and endocrine therapy (PROMISE) [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr OT3-02-08.

Abstract Background: Despite the prevalent treatment options for ERα-positive breast cancer patients, and their initial efficacy for many women, ERα-positive disease still accounts for more breast cancer related deaths than any other subtype. Relapse in these patients is largely due to the development of resistance to anti-estrogen therapies such as tamoxifen. While tamoxifen and its resistance mechanisms have been extensively studied from both the bench and the bedside, relatively little is known about its active metabolite endoxifen. Our group has provided evidence that endoxifen is the most potent and clinically relevant metabolite of tamoxifen, suggesting that its characterization may be crucial to understanding tamoxifen resistance. Methods: We have developed novel endoxifen resistant MCF7 and T47D cell lines through chronic exposure to endoxifen during a period of 12-24 months. Using these models and their respective controls, we compared global gene expression profiles of endoxifen resistant cells to tamoxifen resistant cells and found marked differences between the two models. Additionally, we subjected treatment naïve cells to a genome-wide, CRISPR-mediated knockout screen to identify genes, and their associated pathways, that are likely involved in mediating endoxifen resistance. Results: Analysis of CRISPR guide RNAs enriched or depleted in response to chronic endoxifen treatment revealed that disruption of genes regulated by dexamethasone (Dex), a potent glucocorticoid receptor (GR) agonist, enhanced cells' ability to survive and proliferate in the presence of endoxifen. These data suggest that GR activation may inhibit endoxifen resistance, and that treatment of resistant cells with Dex may restore endoxifen efficacy. Indeed, Dex treatment significantly inhibited the proliferation rates of endoxifen resistant cells by 50-60% with little to no inhibitory effects in endoxifen sensitive models. Further, Dex was shown to synergize with endoxifen in resistant cells to further suppress cell proliferation, implying that Dex treatment could be utilized as an effective therapy for endocrine resistant disease. Conditioned media harvested from cells chronically exposed to Dex also resulted in substantial inhibition of endoxifen resistant cell proliferation rates. To explore potential mechanisms of these effects, we performed RNA-seq on both treatment-naïve and endoxifen resistant cells following Dex treatment. Out of 246 genes significantly regulated by Dex in endoxifen resistant cells, we identified 61 genes that were not differentially regulated in treatment naïve cells. These genes may provide insights into the mechanisms of GR activity specific to endoxifen resistant cells. Conclusions: To our knowledge, we have developed the first models of endoxifen resistance and have demonstrated that global transcriptomic changes that occur during this process are substantially different than those observed in tamoxifen resistant models. We have shown that activation of GR signaling elicits significant growth-inhibitory effects specifically in the setting of endoxifen resistance. These data identify the GR pathway as a potential novel therapeutic target for the treatment of endocrine resistant breast cancer. Citation Format: Jones CJ, Goetz MP, Ingle JN, Hawse JR. Glucocorticoid receptor activation inhibits proliferation of endoxifen resistant breast cancer cells and resensitizes cells to hormonal therapy [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P5-04-05.

Abstract BACKGROUND: A GWAS for the MA.27 aromatase inhibitors (AIs) adjuvant trial (4,406 controls and 252 cases) identified variant (V) SNPs in a long noncoding (lnc) RNA, MIR2052HG, that were associated with longer breast cancer free interval (HR= 0.37, P= 2.15E-07). V SNPs (MAF= 0.32 to 0.42) were associated with lower MIR2052HG and ERα expression in the presence of AIs. MIR2052HG maintained ERα both by promoting AKT/FOXO3-mediated ESR1 transcription and by limiting ubiquitin-mediated ERα degradation. (Cancer Res 76:7012-23, 2016). Our goal was to further elucidate MIR2052HG's mechanism of action. METHODS: RNA-Binding Protein Immunoprecipitation (RBPI) assays were performed to demonstrate that the transcription factor, early growth response protein 1 (EGR1), worked together with MIR2052HG to regulate lemur tyrosine kinase-3 (LMTK3) transcription in MCF7/AC1 and CAMA-1 cells. The location of EGR1 on the LMTK3 gene locus was mapped using chromatin immunoprecipitation (ChIP) assays. The co-localization of MIR2052HG RNA and the LMTK3 gene locus was determined using RNA-DNA dual fluorescent in situ hybridization (FISH). SNP effects were evaluated using a panel of human lymphoblastoid cell lines. RESULTS: TCGA analysis revealed LMTK3 and MIR2052HG expression were highly correlated in ERα-positive breast cancer patients. We found that the MIR2052HG transcript was located in the LMTK3 gene locus by RNA-DNA FISH. Among all of the 12 potential LMTK3 transcription factors identified in the Encode database that were examined by RBPI, only EGR1 showed an interaction with MIR2052HG. CHIP assays confirmed EGR1 binding to the two putative EGR1 binding sites in LMTK3 gene.Depletion of MIR2052HG reduced the binding of EGR1 to the LMTK3 promoter and decreased LMTK3 expression, suggesting that it might function as a scaffold. Mechanistically, decreased LMTK3 levels further increased protein kinase C (PKC) activity and downstream AKT activity, leading to reduced ESR1 mRNA levels via increased pFOXO3. At the protein level, in MIR2052HG depleted cells, increased PKC activity increased the phosphorylation of MEK, ERK, and RSK1, leading to increased ERα phosphorylation at Ser167 and increased ERα degradation. Conversely, overexpression of LMTK3 in MIR2052HG depleted cells reversed these phenotypes. MIR2052HG regulated LMTK3 and ERα expression in a SNP- dependent fashion: the MIR2052HG V SNP, relative to wild-type (WT) genotype, increased LMTK3/ERα expression in response to androstenedione due to increased binding between EGR1 and the LMTK3 promoter in LCLs. However, AI treatment reduced this binding in MIR2052HG variant cells but increased binding in WT cells, resulting in decreased LMTK3/ERα in V cells and increased expression in WT cells. CONCLUSIONS: Our findings support a model in which the protective MIR2052HG variant genotype regulates LMTK3 via MIR2052HG/EGR1, and LMTK3 regulates ERα stability via the PKC/MEK/ERK/RSK1 axis. This regulation may explain the effect of the MIR2052HG variant genotype on cell proliferation and response to AIs in MA.27. These findings provide new insight into the mechanism of action of MIR2052HG and suggest that LMTK3 may be a new therapeutic target in ERα-positive breast cancer patients treated with AIs. Citation Format: Cairns J, Ingle JN, Shepherd LE, Kubo M, Goetz MP, Weinshilboum RM, Kalari KR, Wang L. LncRNA MIR2052HG regulates ERα level and endocrine resistance through LMTK3 by recruiting early growth response protein 1 [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P5-07-01.

Abstract Purpose: Triple negative breast cancer (TNBC) is an aggressive breast cancer subtype with substantial risks of disease recurrence. While cytotoxic chemotherapy is commonly administered and reduces recurrence, disease outcomes vary considerably and few prognostic tools are available for risk stratification for TNBC patients. We constructed and validated clinical calculators for invasive-disease free survival (IDFS) and overall survival (OS) for TNBC and compared their performance against AJCC-based models which include only tumor size and nodal status. Methods: From a surgical cohort of 9,982 patients who underwent breast cancer surgery at Mayo Clinic between January 1985 and December 2012, 605 centrally reviewed TNBC patients were identified and used to construct Cox models for IDFS and OS. Patients treated with neoadjuvant chemotherapy were excluded. Variables considered included age, menopausal status, tumor size, nodal status, Nottingham grade, type of breast surgery (mastectomy vs. lumpectomy), adjuvant radiation therapy, adjuvant chemotherapy, Ki67, stromal tumor infiltrating lymphocytes (sTILs), and neutrophil-to-lymphocyte ratio (NLR). Missing values were imputed using single imputation with all variables (including outcomes) included in the imputation model. Backward step-down procedure was used for model selections. The final models were internally validated for calibration and discrimination using bootstrapping methods and compared with AJCC-based models. Results: For both IDFS and OS, higher sTIL's, less extensive nodal involvement, use of adjuvant chemotherapy, and lower NLR were significant predictors of improved clinical outcomes. Premenopausal status and younger age were additionally predictive of improved IDFS and OS, respectively. Models for IDFS and OS have good calibration and are associated with bias-corrected C-indices of 0.68 and 0.71, respectively, as compared with C-indices of 0.59 and 0.62 for AJCC-based models. Conclusions: Our data indicate that a clinical calculator that includes sTIL's, NLR, menopausal status, age, nodal involvement as well as chemotherapy use can provide significantly greater prediction of clinical risk than tumor size and nodal status alone. These tools may be used to identify TNBC patients at elevated risk of disease relapse and to aid physician's communication with patients regarding their long-term disease outlook and planning treatment strategies. External validation is required to further evaluate broader applicability of this tool, which was developed utilizing a single-institutional experience. Citation Format: Polley M-YC, Leon-Ferre RA, Liu H, Gilbert J, Cafourek V, Hillman DW, Negron V, Boughey JC, Liu MC, Ingle JN, Kalari K, Couch F, Visscher DW, Goetz MP. Mayo clinic TNBC outcome calculator: A clinical calculator to predict disease relapse and survival in women with triple-negative breast cancer [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P1-06-07.

Abstract Background: Abemaciclib is an orally administered, selective inhibitor of cyclin-dependent kinases 4 & 6 that is dosed on a twice daily continuous schedule. Abemaciclib has demonstrated clinical efficacy with a generally tolerable safety profile in patients with hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2-) advanced breast cancer in combination with fulvestrant in MONARCH 2 (NCT02107703) and in combination with non-steroidal aromatase inhibitors (NSAI) in MONARCH 3 (NCT02246621). These analyses were conducted to evaluate if patient and disease characteristics may better inform in whom and when abemaciclib should be initiated to define optimal treatment strategies. Methods: MONARCH 2 and 3 enrolled patients with HR+, HER2- advanced breast cancer. In MONARCH 2, patients whose disease had progressed while receiving endocrine therapy were treated with abemaciclib/placebo plus fulvestrant. In MONARCH 3, patients were treated with abemaciclib/placebo plus NSAI as initial therapy for advanced disease. An exploratory pooled analysis of the two studies was performed to determine significant prognostic factors. Efficacy results (progression-free survival [PFS] and objective response rate [ORR] in patients with measurable disease) were examined for patient subgroups corresponding to each of the identified significant prognostic factors. Subpopulation treatment effect pattern plot (STEPP) methodology was performed to examine the association between treatment-free interval (TFI) following adjuvant endocrine therapy and outcomes of endocrine therapy alone or in combination with abemaciclib in MONARCH 3. Results: Analyses of clinical factors in over 1000 patients confirmed the following to have prognostic value: bone-only disease, liver metastases, tumor grade, progesterone receptor (PgR) status, and ECOG performance status. Prognosis was poor in patients with liver metastases, PgR-negative tumors, and high-grade tumors. While all subpopulations benefited from the addition of abemaciclib to endocrine therapy regardless of prognosis, substantial benefit of abemaciclib was observed in poor prognosis subgroups, characterized by large increases in PFS (hazard ratios = 0.4 to 0.5) and ORR (over 30%). In addition, STEPP analysis of TFI on a subset of the MONARCH 3 population showed that patients with the shortest TFI appeared to have a poorer prognosis and received more benefit from the addition of abemaciclib compared to patients with longer TFI. Conclusions: This exploratory analysis has provided data that could help optimize treatment strategies by identifying that patients with poor prognostic factors may receive greater benefit from the addition of abemaciclib to endocrine therapy. Citation Format: Goetz MP, O'Shaughnessy J, Sledge Jr. GW, Martin M, Lin Y, Forrester T, Mockbee C, Smith IC, Di Leo A, Johnston S. The benefit of abemaciclib in prognostic subgroups: An exploratory analysis of combined data from the MONARCH 2 and 3 studies [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr GS6-02.

Abstract BACKGROUND: Based on prospective clinical trials, there is no evidence for differences in efficacy between the 3 aromatase inhibitors (AIs) anastrozole, exemestane, and letrozole. The purpose of this study was to identify germline genetic variants associated with response to AIs and to help identify novel mechanisms associated with drug disease efficacy. METHODS: A genome-wide association study (GWAS) was performed for 624 patients (Steroids 2015;99:32-38) to identify SNPs associated with estrogen level change in women with estrogen receptor (ER) positive breast cancer treated with anastrozole. Replication of associated SNPs was performed in a GWAS from the MA.27 trial that compared adjuvant anastrozole and exemestane treatment of post-menopausal women with ER+ breast cancer. Functional studies were subsequently performed to determine SNP effects and underlying mechanisms. RESULTS: Our initial GWAS identified SNPs within CSMD1 that were associated with changes in estrogen levels during anastrozole therapy. An additional SNP in CSMD1 was also associated with breast cancer events in CCTG MA.27. Functionally, we showed that CSMD1 regulates CYP19 expression in a SNP-, and in an anastrozole- dependent fashion. These phenomena were not observed for either letrozole or exemestane. In MA.27, an anastrozole- specific effect was also seen with the minor allele having a protective effect on time to distant metastasis (HR=0.49, p=0.00259), but this was not the case for exemestane (HR=0.71, p=0.111). Our in vitro functional studies indicated that overexpression of CSMD1 sensitized anastrozole or letrozole resistant cells to anastrozole but not to the other two AIs. The SNP in CSMD1 that was associated with increased CSMD1 and CYP19 expression levels increased anastrozole sensitivity, but not letrozole or exemestane in lymphoblastoid cell lines (LCLs) homozygous for either WT or variant CSMD1 SNP genotypes. Based on these observations, we explored whether anastrozole has additional mechanisms beyond its function as a CYP19 inhibitor. Utilizing an estrogen response element (ERE) luciferase reporter assay in a CYP19 CRISPR knockout breast cancer T47D cell line and a surface plasmon resonance (SPR) assay, we found that anastrozole can also function as an ERα agonist, and can bind to, and result in, proteasome dependent ERα degradation, especially in the presence of E2. Treatment of these CYP19 CRISPR knockout cells with anastrozole in the presence of increasing concentrations of E2 results in greater sensitivity compared with anastrozole alone, while the addition of E2, as expected, does not improve letrozole or exemestane sensitivity. These same observations were also seen in letrozole and anastrazole resistant cells. CONCLUSIONS: Our findings suggest that anastrozole might be more effective than letrozole or exemestane in patients with the CSMD1 SNP. Furthermore, anastrozole can function as an ERα agonist, binding to ERα and resulting in its degradation, especially in the presence of E2. These findings should help to make it possible to develop precision endocrine therapies for women who are candidates for AIs. Citation Format: Cairns J, Ingle J, Dudenkov T, Kalari K, Buzdar A, Kubo M, Robson M, Ellis M, Goss P, Shepherd L, Goetz M, Weinshilboum R, Wang L. CSMD1 SNPs selectively affect anastrozole response in postmenopausal breast cancer patients [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr PD1-04.

Abstract Background: DNA methylation is a promising prognostic and predictive biomarker of response to treatment in advanced breast cancer (Fackler MJ. Can Res 2014). We evaluated whether baseline and change in tissue and serum methylation would predict pathological complete response (pCR) in patients with HER2-negative early breast cancer treated with PST. Methods: TBCRC008 was a multicenter placebo-controlled trial that investigated pCR (no invasive cancer in breast/axilla) following 12 weeks of preoperative carboplatin and albumin-bound paclitaxel with or without the histone deacetylase (HDAC) inhibitor vorinostat in 62 patients with HER2-negative breast cancer. We performed an exploratory planned biomarker study correlating baseline and change (D15) in tumor tissue and serum methylation with pCR. Methylation was measured using cumulative methylation index (CMI) in quantitative multiplexed methylation-specific polymerase chain reaction (QM-MSP) assays; cMethDNA assay for serum (Fackler MJ. Can Res 2014) and QM-MSP for tissue (Fackler MJ. Can Res 2004). The analysis population included all patients with available methylation and pCR data. Association between CMI level (log transformed baseline, D15, change) and pCR was evaluated using univariate as well as multivariable logistic regression models controlling for treatment arm and estrogen receptor (ER) status. Additional subgroup analyses assessed association of CMI level with pCR stratified by ER status and treatment arms, respectively. Spearman's correlation coefficient was performed to evaluate the correlation between tissue and serum CMI. Results: pCR data were available for 61 of 62 patients. One patient with unknown response was treated as a non-responder. The pCR rate was similar in both arms (vorinostat 25.8%, placebo 29%). Both tissue and serum CMI data were available in 55 (baseline), 50 (D15) and 46 (change) patients. Elevated serum methylation based on a predefined threshold (6.9 units) was identified in 23/59 (39%) patients. In univariate analysis, one log unit increase in tissue CMI levels at D15 was associated with a 40% lower chance of obtaining a pCR (odds ratio, OR=0.60, 95% CI 0.37-0.97; p=0.037). The multivariable analysis did not show a statistically significant association of tissue or serum CMI with pCR, although a similar trend in magnitude towards association with pCR was observed for D15 and change in tumor tissue CMI (OR 0.67 and 0.57, p=0.129 and 0.147 respectively). Subgroup analyses suggested a significant association between tissue CMI levels at D15 and pCR in the group treated with vorinostat [tissue OR: 0.44 (0.20, 0.93), p=0.03; serum OR 0.37 (0.13, 1.07), p=0.07] but not in the placebo group. No significant correlation was observed between tissue and serum CMI. Conclusion: This is the first study to evaluate the predictive role of tissue and serum methylation (CMI) in patients with early breast cancer treated with PST ± an HDAC inhibitor. Methylation was detected more frequently in tissue than serum. Tissue CMI levels at D15 may predict poor response to this regimen. Further evaluation of the predictive role of methylation in early breast cancer is warranted. Citation Format: Connolly RM, Fackler MJ, Zhang Z, Zhou XC, Goetz MP, Boughey JC, Walsh B, Carpenter J, Storniolo AM, Watkins S, Barielson E, Sukumar S, Stearns V. Tumor and serum DNA methylation in women receiving preoperative chemotherapy (PST) with or without vorinostat in primary operable HER2-negative breast cancer in TBCRC008 [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P1-09-15.

Abstract Background: The primary mechanism by which tamoxifen (Tam) and its metabolites exert their biologic effects is through estrogen receptor (ER) binding and inhibition of ER signaling. We and others demonstrated that endoxifen (Endx) has greater antitumor activity in vitro and in vivo compared to Tam and the first-in-human Endx phase I study demonstrated its antitumor activity in patients with prior progression on Tam (Goetz SABC 2015). PKCs are a family of serine/threonine-specific protein kinases that regulate signaling pathways involved in cell proliferation and tumorigenic transformation. Our prior protein docking studies suggested endoxifen may be a substrate for PKCs. Here we report the effects of Tam and Endx on PKCβ1 binding, kinase activity, as well as interactions between PKCβ1 and ERα. Methods: Surface Plasmon Resonance (SPR, Biacore T200, GE Healthcare) was used to evaluate binding of Tam, N-desmethyl Tam (NDMT), 4-HT, and Endx to PKCβ1 and PKCβ2. The effects of Tam and Endx on PKCβ1 kinase activity were determined. Proliferation and colony formation in MCF7 parental and PKCβ1 overexpressing cells were evaluated. siRNA silencing was used to knockdown PKCβ1 expression in the following cells: MCF7 aromatase expressing cells that were either sensitive (MCF7/AC1) or resistant to letrozole (MCF7/AC1 L-resistant); T47D; and MDA-MB-361. Coimmunoprecipitation assay and DUOlink in situ proximity ligation were used to investigate the interaction between PKCβ1 and ERα. Results: Endx more potently inhibited PKCβ1 kinase activity compared to Tam ( IC50 350 nM vs 47.8 μM ) with KDs for PKCβ1 binding as follows: Endx (100 nM ), Tam ( 2 μM ), 4-HT ( 2 μM ) and NDMT (> 7 μM ). None of the SERMs exhibited PKCβ2 binding. In the MCF7/AC1 and MCF7/AC1 L-resistant cells, PKCβ1 knockdown resulted in ERα degradation and potently inhibited cell proliferation. These results were confirmed in T47D and MDA-MB-361 cells. Notably, PKCβ1 knockdown in MCF7/AC1 cells resulted in significantly greater E2 induced proliferation comparing siRNA knockdown vs. control. To further explore these effects, we evaluated the effects of PKCβ1 overexpression in MCF7 cells and demonstrated that PKCβ1 overexpression reduced cell proliferation and colony formation compared to parental MCF-7 cells without affecting ERα protein stability. Coimmunoprecipitation assays in transient transfected MCF-7 cells with exogenous PKCβ1 as well as PKCβ1 expressing MDA-MB-231 cells transiently or stably transfected with ERα demonstrated PKCβ1 and ERα interaction, with confirmation by Duolink assay that this interaction occurs in the cytoplasm. Conclusions: Our findings demonstrated that endoxifen binds and inhibits PKCβ1 at relevant concentrations achieved in the endoxifen clinical trial studies. PKCβ1 interacts with cytoplasmic ERα and PKCβ1 knockdown inhibits cell proliferation and enhances ERα turnover. However, in PKCβ1 overexpressing cells, PKCβ1 may exhibit tumor suppressive effects. These data suggest a complex interaction between PKCβ1 and ERα and that endoxifen's effects on PKCβ1 may alter drug response of endocrine therapy. Further studies are ongoing to characterize the role of PKCβ1 and its role in ER biology and response to endoxifen. Citation Format: Guo C, Kuffel MJ, Kudgus RA, Huang Z, Bode AM, Cheng J, Suman VJ, Reid JM, Bruinsma ES, Subramaniam M, Ames MM, Hawse JR, Goetz MP. Identification and characterization of a novel endoxifen substrate, PKCβ1, and its interaction with the estrogen receptor [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P1-08-03.