Citations

Abstract Introduction: The immune microenvironment of high-risk HR+ breast cancer (BC) is poorly understood. BEAUTY is a prospective neoadjuvant chemotherapy (NAC) study of stage I-III BC patients treated with neoadjuvant weekly taxane followed by anthracycline-based chemotherapy. Among clinical luminal B BC (St. Gallen criteria) from BEAUTY, we used high-plex digital spatial profiling (DSP) to characterize the intra-epithelial tumor and stromal immune landscapes to 1) assess the impact of NAC on these landscapes and 2) identify immune biomarkers predictive of response to NAC. Methods: The tissue set included FFPE sections of resected tumors from 35 patients (median 51y; range: 21-71y) with clinically-defined luminal B BC (ER > 10%/grade 2/Ki67 ≥ 15% or ER > 10%/grade 3), and 16 paired pre-NAC biopsies. Nanostring GeoMX DSP was used to quantitate 58 immune and BC biomarker proteins in intra-epithelial, cytokeratin-positive tumor segments and adjacent stromal (cytokeratin-negative/SYTO13 (nuclear stain)-positive) segments. Data were normalized using the geometric mean of two negative controls (RbIgG and MsIgG1). A general linear model with negative binomial identified differentially-expressed (DE) proteins in pre/post-NAC tumors. Based on DE protein data and biologic function, a targeted protein subset (N=19) was evaluated in pre-NAC biopsies for associations between protein abundance and residual cancer burden (RCB) class (0-II vs. III) (Wilcoxon-rank sum test: p-value < 0.025 considered significant) or RCB ‘breast only’ index (Spearman correlation). Results: Comparing tumor segments in pre-NAC specimens, intra-epithelial segments were predictably enriched in cytokeratin, ER, PR and Ki-67, but also CD127 and NY-ESO-1; whereas stromal segments were enriched in proteins associated with T cell subsets (e.g. CD3, CD4, CD8), macrophages (CD68 and CD163), antigen presentation/dendritic cells (CD11c, HLA-DR) and immune checkpoint proteins (PD-L1, PD-L2, B7-H3, TIM-3, VISTA) among others. While NAC did not alter the spatial distribution of proteins (intra-epithelial vs. stromal segments), it markedly attenuated the immune landscape, with decreased abundance of functionally-diverse immune proteins (e.g. CD45, CD3, CD4, CD127, granzyme B, CTLA4; STING, B7-H3, CD11c, and CD68, log2FC: 0.27-1.52 p < 0.05), including low abundance proteins PD-1, PD-L1, PD-L2, CD20, and OX40L (log 2FC: 0.15-1.16, p < 0.05). Both PR and Ki-67 decreased in post-NAC tumors whereas ER was not significantly altered (p < 0.05). CD8, CD14, CD163, HLA-DR, IDO-1 and TIM-3 were not significantly altered by NAC. In the pre-NAC biopsies (which had subsequent residual tumor burdens of RCB class 0 or I (n=1 each), II (n=6), and III (n=8), and median RCB ‘breast only’ index of 3.39 (range: 0.00-38.02), 19 proteins were used for RCB analysis (CD3, CD4, CD8, CD14, CD34, CD44, CD45, CD68, CD127, CD163, CTLA4, granzyme B, STING, B7-H3, fibronectin, Ki-67, HLA-DR, SMA and TIM3). Among them, stromal CD127 was significantly higher in RCB class III than RCB class 0-II (p=0.021) and RCB ‘breast only’ index was positively correlated with intra-epithelial granzyme B (rho = 0.61; p=0.012), and negatively correlated with intra-epithelial Ki-67 (rho= -0.71; p=0.0022). Conclusion: In this series of clinical luminal B BC, NAC markedly attenuated the tumoral immune landscapes with a small set of “NAC-resistant” immune proteins. Among a targeted set, stromal CD127 was significantly higher in RCB III, and RCB breast-only index was positively correlated with intra-epithelial granzyme B. These data provide insight into the impact of NAC on HR+ BC, and identify potential immune biomarkers to predict response to neoadjuvant chemotherapy. Citation Format: Jodi M Carter, Judy C Boughey, Jun He, Vera J Suman, Xue Wang, Jennifer M Kachergus, Krishna R Kalari, Liewei Wang, Richard Weinshilboum, Ann M Moyer, Sarah A McLaughlin, Alvaro Moreno-Aspitia, Donald W Northfelt, Richard J Gray, James N Ingle, E. Aubrey Thompson, Matthew P Goetz. Neoadjuvant chemotherapy selectively alters spatially-defined immune landscapes in clinical luminal B HR+/HER2- breast cancers: Analysis of the breast cancer genome guided therapy study (BEAUTY) [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PD7-05.

Abstract Background: Patient derived xenografts are a standard tool used to study cancer biology and evaluate drug response phenotypes. It is well known that PDX take rate is associated with more aggressive clinical features [higher grade, biologic subtype (e.g. TNBC vs luminal)]. Previous data from a small retrospective cohort of patients (pts) with no prior chemo (n=24) suggested that primary breast tumor PDX take rate was associated with reduced overall survival. (Derose Nat Med. 2011) However, whether take rate is prognostic in newly diagnosed pts receiving standard of care neoadjuvant chemotherapy (NAC) is unknown. From the prospective BEAUTY clinical trial of pts treated with NAC in which PDX was attempted from pre-NAC as well as after chemo (post-NAC), we recently reported no difference in take rate comparing pts with or without a pathologic complete response (pCR) (Yu Breast Canc Res 2018). Herein we report the association between PDX take rate and recurrence from tumor samples implanted pre-NAC as well as post-NAC (time of surgery). Methods: The BEAUTY study is a prospective NAC study which enrolled breast cancer pts (Stage I-III; n=140) treated with neoadjuvant weekly taxane +/-trastuzumab followed by anthracycline-based chemotherapy. Percutaneous tumor biopsies were obtained prior to NAC and tumor samples from residual disease at surgery were additionally used to establish PDXs. Tumor take rate was defined as percent of pts with the development of at least one stably transplantable (passed at least for four generations) xenograft that was pathologically confirmed as breast cancer. Time to breast cancer recurrence was defined as the time from surgery to documentation of a local, regional, or distant recurrence. Gray’s test was used to assess whether the cumulative incidence (CI) of a breast cancer recurrence differs with respect to either pre-NAC PDX take or post-NAC PDX take. Results: Of 140 pts enrolled in the BEAUTY study, tumor tissue for PDX from the pre-NAC tumor was available for implantation in 113. As previously published, PDX take rate from pre-NAC tumor was 27.4% (31/113), and varied according to tumor clinical subtype [51.3% (20/39) in triple negative breast cancer (TNBC), 26.5% (9/34) in HER2+, 5.0% (2/40) in Luminal]. With median follow up of 5.7 years (range: 3 months to 6.75 years), 17 pts developed local, regional or distant disease relapse (4 of whom had a PDX established pre-NAC). The cumulative incidence of breast cancer relapse after surgery was not found to differ according to pre-NAC PDX take (5 yr CI rate: 13.6% no take; 13.4% take; p=0.8911). In pts with TNBC, the group with the highest take rate, there was also no significant difference in incidence of BC recurrence between those without PDX take and those with PDX take (5 yr CI rate: 21.4% vs 16.2% p=0.7314). PDXs were established from residual tissue from surgery (post-NAC) in 6 of 34 pts (17.6%), [specifically, TNBC: 5/9; Her2+: 1/8; and Luminal: 0/17]. Nine of these 34 pts developed a local, regional or distant recurrence. There was a tendency for pts who had a PDX established from their residual disease to have a higher incidence of a breast event (p=0.1092). The 5 year cumulative incidence of a breast event was 19.6% for pts whose post-NAC PDX did not take and 50.0% for pts whose post-NAC PDX took. Discussion: In pts receiving NAC for breast cancer, we observed no significant difference between establishment of a pre-NAC PDX and breast cancer relapse. In contrast, post-NAC PDX take rate (from residual tumor obtained from the breast at surgery) was associated with a tendency to have a higher incidence of a breast cancer event. PDXs remain a valuable tool for the evaluation of tumor biology and development of new therapeutics, especially those models established from pts with chemotherapy resistance. Citation Format: Judy C. Boughey, Vera J. Suman, Jia Yu, Katelyn Santo, Jason P. Sinnwell, Jodi M. Carter, Krishna R. Kalari, Xiaojia Tang, Sarah A. McLaughlin, Alvaro Moreno Aspitia, John A. Copland, III, Donald W. Northfelt, Richard J. Gray, Katie N. Hunt, Amy Lynn Conners, Richard Weinshilboum, Liewei Wang, Matthew P. Goetz. Association between patient derived xenograft (PDX) take rate and breast cancer recurrence in the prospective breast cancer genome guided therapy study (BEAUTY) [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PD7-04.

Abstract Background: With few targeted therapies available for triple-negative breast cancer (TNBC), there is a critical need to identify biomarkers that can predict chemotherapy-response. Copy number amplifications (CNAmps) have been implicated in tumorigenesis, progression, and treatment response. Previously, we performed a prospective neoadjuvant chemotherapy study (BEAUTY) and identified a 5 Mb CNAmp in TNBC patients associated with pathological complete response rates to taxane- and anthracycline-based chemotherapy. Here we further interrogated this amplicon and its role in chemotherapy response. Methods: Using siRNA screening of genes identified in the 5 Mb CNAmp, followed by cytotoxicity assays, we identified RDH10 significantly associated with chemo-sensitivity in TNBC cell lines. Functional studies were performed using RDH10 knockdown or overexpression followed by cytotoxicity, cell proliferation, luciferase reporter assays, HPLC or western blot. Results: RDH10 is a rate-limiting step involved in the synthesis of all-trans retinoic acid (ATRA) - the active metabolite of retinoid metabolism that is frequently aberrant in cancer. Previous studies demonstrated ATRA to be a potent inhibitor of PIN1, a key regulator of several oncogenic signaling pathways often amplified in TNBC. We discovered that genetic manipulation of RDH10 affected ATRA intracellular concentrations, contributing to PIN1 degradation and taxane-response. Furthermore, co-treatment of TNBC cells with ATRA significantly increased taxane-sensitivity. Conclusion: RDH10 amplification increases endogenous levels of ATRA and degrades PIN1 in TNBC. ATRA-mediated degradation of PIN1 sensitizes TNBC to chemotherapy, suggesting that RDH10 may be a novel biomarker of taxane response and the addition of ATRA to standard chemotherapy may improve chemo-sensitivity.

Abstract Cell division cycle 25 (CDC25) dual specificity phosphatases positively regulate the cell cycle by activating cyclin-dependent kinase/cyclin complexes. Here, we demonstrate that in addition to its role in cell cycle regulation, CDC25B functions as a regulator of protein phosphatase 2A (PP2A), a major cellular Ser/Thr phosphatase, through its direct interaction with PP2A catalytic subunit. Importantly, CDC25B alters the regulation of AMP-activated protein kinase signaling (AMPK) by PP2A, increasing AMPK activity by inhibiting PP2A to dephosphorylate AMPK. CDC25B depletion leads to metformin resistance by inhibiting metformin-induced AMPK activation. Furthermore, dual inhibition of CDC25B and PP2A further inhibits growth of 3D organoids isolated from patient derived xenograft model of breast cancer compared to CDC25B inhibition alone. Our study identifies CDC25B as a regulator of PP2A, and uncovers a mechanism of controlling the activity of a key energy metabolism marker, AMPK.

Abstract Background: With few targeted therapies available for triple-negative breast cancer (TNBC), there is a critical need to identify biomarkers that can predict chemotherapy-response. Copy number amplifications (CNAmps) have been implicated in tumorigenesis, progression, and treatment response. Previously, we performed a prospective neoadjuvant chemotherapy study (BEAUTY) and identified a 5 Mb CNAmp in TNBC patients associated with pathological complete response rates to taxane- and anthracycline-based chemotherapy. Here we further interrogated this amplicon and its role in chemotherapy response. Methods: Using siRNA screening of genes identified in the 5 Mb CNAmp, followed by cytotoxicity assays, we identified RDH10 significantly associated with chemo-sensitivity in TNBC cell lines. Functional studies were performed using RDH10 knockdown or overexpression followed by cytotoxicity, cell proliferation, luciferase reporter assays, HPLC or western blot.Results: RDH10 is a rate-limiting step involved in the synthesis of all-trans retinoic acid (ATRA) - the active metabolite of retinoid metabolism that is frequently aberrant in cancer. Previous studies demonstrated ATRA to be a potent inhibitor of PIN1, a key regulator of several oncogenic signaling pathways often amplified in TNBC. We discovered that genetic manipulation of RDH10 affected ATRA intracellular concentrations, contributing to PIN1 degradation and taxane-response. Furthermore, co-treatment of TNBC cells with ATRA significantly increased taxane-sensitivity.Conclusion: RDH10 amplification increases endogenous levels of ATRA and degrades PIN1 in TNBC. ATRA-mediated degradation of PIN1 sensitizes TNBC to chemotherapy, suggesting that RDH10 may be a novel biomarker of taxane response and the addition of ATRA to standard chemotherapy may improve chemo-sensitivity.

BackgroundThe goal of this study was to assess the impact of trastuzumab on locoregional failure.METHODSThe analysis included 2763 patients with HER2‐positive (HER2+) breast cancer who were randomly assigned to adjuvant doxorubicin (A), cyclophosphamide (C), paclitaxel (T) and trastuzumab (H) (arm A, AC→T [n = 922]; arm B, AC→T→H [n = 988]; arm C, AC→T+H→H [n = 853]). Radiotherapy was given after AC→T concurrently with H. Radiotherapy was given after lumpectomy (L) or after mastectomy (M) with ≥4 positive lymph nodes but was optional for 1 to 3 positive lymph nodes. Locoregional failures at 10 years (LFR10) as first events were compared using competing risk analysis.ResultsThe median follow‐up was 13.0 years. The first site of failure was local‐only in 96 cases, locoregional in 16 cases, regional in 32 cases, and not specified in 2 cases; LFR10 was 4.8% (95% CI 4.1%‐5.7%). LFR10 was 5.5% (95% CI 4.3%‐7.2%), 4.9% (95% CI 3.7%‐6.4%), and 2.8% (95% CI 1.9%‐4.1%) in arms A, B, and C (B vs A: hazard ratio [HR] 0.91, P = .62; C vs A: HR 0.72, P = .12). For estrogen receptor–positive patients, LFR10 was 3.7% (95% CI 2.8%‐4.8%) and for estrogen receptor–negative patients, it was 6.1% (95% CI 5.0%‐7.4%; HR 0.61, P = .004). Local treatment included L+RT (n = 1044 [38%]), M+RT (n = 1025 [37%]), and M (n = 694 [25%]). LFR10 was 6.% (95% CI 5.0%‐7.8%), 3.0% (95% CI 2.1%‐4.3%), and 5.5% (95% CI 4.0%‐7.4%) for L+RT, M+RT, and M, respectively (M+RT vs L+RT: HR 0.43, P < .001; M vs L+RT: HR 0.88, P = .57). For 1 to 3 positive lymph nodes, LFR10 was 6.5% (95% CI 4.8%‐8.9%), 4.1% (95% CI 2.4%‐7.0%), and 4.3% (95% CI 2.9%‐6.5%) in L+RT, M+RT, and M, respectively (M vs L+RT: HR 0.68, P = .14; M vs M+RT: HR 1.2, P = .6).ConclusionLow 10‐year LFRs were seen regardless of trastuzumab use. Differences in local therapy in patients with 1 to 3 positive lymph nodes did not appear to improve local control. Local therapy studies for HER2+ and other tumor characteristics are important as the role of local therapies continues to evolve.

Abstract Purpose: To determine genetic variants that could differentiate aromatase inhibitors (AIs) efficacy in early stage breast cancer. Experimental Design: We performed a stratified cox-proportional hazards analysis utilizing stratification factors and other covariates examining Breast Cancer Free Interval (BCFI) SNP-treatment interaction in Caucasian patients entered on the MA.27 trial. This analysis involved 4465 patients (2226 on anastrozole and 2239 on exemestane arm) including 245 (121 on anastrozole and 124 events on exemestane arm) with a breast event. Preclinical laboratory studies included luciferase activity, chromatin immunoprecipitation (ChIP) assay, and cell migration assays. Results: We identified 887 SNPs with a p-value &lt;1E-4 that could differentiate anastrozole from exemestane efficacy. We next used GTEx databases to determine whether these SNPs might be cis-eQTLs with nearby genes, and found that 95 SNPs were eQTL with 14 genes. Functional validation of SNP effect in these 14 genes on response to anastrozole and exemestane revealed that 3 SNPs showed genotype-dependent differences between anastrozole and exemestane. Two of the three SNPs, rs1877193 and rs6735923 located upstream of LY75 gene, were associated with higher LY75 gene expression. Our drug-SNP interaction GWAS showed that both SNPs were associated with better BCFI for exemestane compared to anastrozole (HR= 0.447, 0.458). The SNP rs62293499 located downstream of the GPR160 gene was also associated with better BCFI for exemestane compared to anastrozole (HR=0.433). Interestingly, all 3 SNPs were associated with worse outcome (shorter BCFI) in anastrozole treated patients (HR=1.39~1.58), but with longer BCFI in the exemestane treated patients (HR=0.58~0.71) based on our GWAS results in MA.27 trial. However, all 3 SNPs showed no association with BCFI if the two treatment arms, anastrozole and exemestane, were combined (HR=0.92~1.08). Consistently, cells with Ly75 or GPR160 SNP variant genotypes were more sensitive to exemestane compared to anastrozole. Mechanistically, the 3 SNPs regulated estrogen receptor-dependant LY75 and GPR160 expression. LY75 suppression induced epithelial-to-mesenchymal transition (EMT) in breast cancer cell lines, accompanied by increased migratory capacity in vitro. LY75 knockdown also resulted in predominant downregulation of functional pathways such as cell proliferation, while pathways associated with mesenchymal stimulation were generally increased. GPR160 knockdown also resulted in downregulation of cell proliferation pathways. Conclusions: This SNP genotype and AI treatment interaction clinical study revealed unique genetic variants that differentiate anastrozole and exemestane efficacy. The signals were lost in the GWAS analysis when anastrozole and exemestane were combined. Preclinical laboratory studies revealed novel functions of LY75 and GPR160 in breast cancer. These findings represent potential steps towards individualized AI therapy. Citation Format: Junmei Cairns, James N. Ingle, Krishna R. Kalari, Lois E. Shepherd, Matthew J. Ellis, Paul E. Goss, Poulami Barman, Erin E. Carlson, Matthew P. Goetz, Richard M. Weinshilboum, Liewei Wang. The interaction between SNP genotype and aromatase inhibitor treatment response in early breast cancer [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr LB-103.

Abstract Triple negative breast cancer (TNBC) accounts for 15-20% of breast cancer cases in the United States. With currently no targeted therapies for TNBC, identification of novel biomarkers to improve chemo-response is vital. Recently, copy number amplifications (CNAs) have been implicated in treatment response in several diseases including breast cancer. Our clinical studies have associated a 5 Mb CNA in TNBC patients with chemo-response, which may elucidate novel biomarkers and treatment strategies for TNBC. Analysis of RNAseq and Whole Exome Sequencing data from 42 TNBC patient tumors enrolled in the BEAUTY Study, identified a 5 Mb CNA on chromosome 8q which associated with pathological complete response following taxane and anthracycline chemotherapy. By performing siRNA knockdown cytotoxicity studies in TNBC cell lines for genes within this amplified region, we identified RDH10 as a potential novel biomarker for increasing chemo-sensitivity. RDH10 is the rate limiting step in the synthesis of all-trans retinoic acid (ATRA). Previous studies have demonstrated ATRA to be a potent inhibitor of PIN1, a key regulator of several oncogenic signaling pathways, amplified in TNBC. We discovered overexpression of RDH10 to increase endogenous levels of ATRA, contributing to the degradation of PIN1 and taxane sensitivity. A rescue experiment with PIN1 was able to restore the chemo-resistance phenotype. Similarly, we found treating TNBC cells with ATRA phenocopied RDH10's effect on PIN1 and improved chemo-sensitivity. Furthermore, analyses of chemo-responsive PDX tumors containing the 5 Mb CNA, overexpressed RDH10 and exhibited lower levels of PIN1 when compared to non-responders. In conclusion, RDH10 amplification increases endogenous levels of ATRA and degrades PIN1 in TNBC. ATRA-mediated degradation of PIN1 sensitizes TNBC to chemotherapy, suggesting RDH10 as a novel biomarker for chemo-response and ATRA as a novel treatment to improve chemo-sensitivity. Citation Format: Jordan Mark Grainger, Jia Yu, Krishna R. Kalari, Peter Vedell, Kevin Thompson, Matthew P. Goetz, Vera J. Suman, Judy C. Boughey, Liewei Wang. Study of copy number amplification and chemo-response in triple negative breast cancer [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1928.

Aromatase inhibitors (AIs) reduce breast cancer recurrence and prolong survival, but up to 30% of patients exhibit recurrence. Using a genome-wide association study of patients entered on MA.27, a phase III randomized trial of anastrozole versus exemestane, we identified a single nucleotide polymorphism (SNP) in CUB And Sushi multiple domains 1 ( CSMD1) associated with breast cancer–free interval, with the variant allele associated with fewer distant recurrences. Mechanistically, CSMD1 regulates CYP19 expression in an SNP- and drug-dependent fashion, and this regulation is different among 3 AIs: anastrozole, exemestane, and letrozole. Overexpression of CSMD1 sensitized AI-resistant cells to anastrozole but not to the other 2 AIs. The SNP in CSMD1 that was associated with increased CSMD1 and CYP19 expression levels increased anastrozole sensitivity, but not letrozole or exemestane sensitivity. Anastrozole degrades estrogen receptor α (ERα), especially in the presence of estradiol (E2). ER + breast cancer organoids and AI- or fulvestrant-resistant breast cancer cells were more sensitive to anastrozole plus E2 than to AI alone. Our findings suggest that the CSMD1 SNP might help to predict AI response, and anastrozole plus E2 serves as a potential new therapeutic strategy for patients with AI- or fulvestrant-resistant breast cancers.