This file contains supplementary figures including the western blots corresponding to the schematics of figures 2,3,4,5, as well as additional data sets referred to in the paper.

PDF file - 117K, Microarray target genes from MCF7 siRNA. Target genes identified by microarray expression analysis from MCF7 cells Znf217 siRNA

PDF file - 12MB, Movie of SCp2 cells infected with vector (left movie) or Znf217 (right movie) following a scratch with a pipette tip. This movie ran for 20.25 hours

PDF file - 37K, Drug list identified in silico. List of drugs identified in silico to inhibit breast cancer cell lines that overexpress ZNF217. Correlation of ZNF217 expression in the cell line panel with the drug panel of ~50,000 drugs generated by the NCI Developmental Therapeutics Program (dtp.nci.nih.gov) identified several drugs that selectively inhibited growth of cells, assessed by GI50, expressing high levels of ZNF217 with a low drug concentration

PDF file, 59K, The complete list of genes significantly associated with age are given along with the average fold change comparing the median centered data for the youngest patients (<30, n=20) to that of the oldest patients (>49, n=6).

Supplementary Tables 1-6 from Gene Expression Signature in Organized and Growth-Arrested Mammary Acini Predicts Good Outcome in Breast Cancer

PDF file - 233K, This file contains supplemental materials and methods, including cell lines, antibodies and staining procedures used in this study

PDF file - 29K, Overlapping adult stem cell signature genes. List of overlapping genes between our dataset (this study) and our adult stem cell signature, which is downregulated in many epithelial cancers relative to normal tissue. Primary MECs overexpressing Znf217 significantly repressed genes of the adult stem cell signature (P=1.89x10-10)

PDF file - 50K, Human microarray summary. Summary of correlations between ZNF217 and selected genes from ChIP-chip and gene expression microarray datasets. ZNF217 expression levels correlated with expression of K19 and K8/18, genes that have ZNF217 enriched at their promoters, in human breast cancer cell lines, tumors, and after knockdown in MCF7 cells

PDF file - 46K, Gene ontology for microarray gene sets. List of gene ontology (GO) terms from the microarray gene expression datasets of primary MECs Znf217 using DAVID software

Reprogramming the tumor stroma is an emerging approach to circumventing the challenges of conventional cancer therapies. This strategy, however, is hampered by the lack of a specific molecular target. We previously reported that stromal fibroblasts (FBs) with high expression of CD36 could be utilized for this purpose. These studies are now expanded to identify the secreted factors responsible for tumor suppression. Methodologies included 3D colonies, fluorescent microscopy coupled with quantitative techniques, proteomics profiling, and bioinformatics analysis. The results indicated that the conditioned medium (CM) of the CD36+ FBs caused growth suppression via apoptosis in the triple-negative cell lines of MDA-MB-231, BT549, and Hs578T, but not in the ERBB2+ SKBR3. Following the proteomics and bioinformatic analysis of the CM of CD36+ versus CD36− FBs, we determined KLF10 as one of the transcription factors responsible for growth suppression. We also identified FBLN1, SLIT3, and PENK as active ligands, where their minimum effective concentrations were determined. Finally, in MDA-MB-231, we showed that a mixture of FBLN1, SLIT3, and PENK could induce an amount of growth suppression similar to the CM of CD36+ FBs. In conclusion, our findings suggest that these ligands, secreted by CD36+ FBs, can be targeted for breast cancer treatment.

Human breast tumors are not fully autonomous. They are dependent on nutrients and growth-promoting signals provided by the supporting stromal cells. Within the tumor microenvironment, one of the secreted macromolecules by tumor cells is activin A, where we show to downregulate CD36 in fibroblasts. Downregulation of CD36 in fibroblasts also increases the secretion of activin A by fibroblasts. We hypothesize that overexpression of CD36 in fibroblasts inhibits the formation of solid tumors in subtypes of breast cancer models. For the first time, we show that co-culturing organoid models of breast cancer cell lines of MDA-MB-231 (e.g., a triple-negative line) or MCF7 (e.g., a luminal-A line) with CD36+ fibroblasts inhibit the growth and normalizes basal and lateral polarities, respectively. In the long-term anchorage-independent growth assay, the rate of colony formation is also reduced for MDA-MB-231. These observations are consistent with the mechanism of tumor suppression involving the downregulation of pSMAD2/3 and YY1 expression levels. Our integrated analytical methods leverage and extend quantitative assays at cell- and colony-scales in both short- and long-term cultures using brightfield or immunofluorescent microscopy and robust image analysis. Conditioned media are profiled with the ELISA assay.

Understanding how differentiation, microenvironment, and hormonal milieu influence human breast cell susceptibility to malignant transformation will require the use of physiologically relevant in vitro systems. We sought to develop a 3D culture model that enables the propagation of normal estrogen receptor alpha (ER) + cells. We tested soluble factors and protocols for the ability to maintain progenitor and ER + cells in cultures established from primary cells. Optimized conditions were then used to profile estrogen-induced gene expression changes in cultures from three pathology-free individuals. Long-term representation of ER + cells was optimal in medium that included three different TGFβ/activin receptor-like kinase inhibitors. We found that omitting the BMP signaling antagonist, Noggin, enhanced the responsiveness of the PGR gene to estradiol exposure without altering the proportions of ER + cells in the cultures. Profiling of estradiol-exposed cultures showed that while all the cultures showed immediate and robust induction of PGR, LRP2, and IGFB4, other responses varied qualitatively and quantitatively across specimens. We successfully identified conditions for the maintenance and propagation of functional ER + cells from normal human breast tissues. We propose that these 3D cultures will overcome limitations of conventional 2D cultures of partially or fully transformed cell lines by sustaining normal endocrine function and growth regulation of the cell populations that comprise intact breasts.

In triple-negative breast cancer, the PIM1 kinase is highly expressed, acts to promote tumor cell survival and growth, and increases MYC transcriptional activity. Triple-negative breast cancer (TNBC), in which cells lack expression of the estrogen receptor (ER), the progesterone receptor (PR) and the ERBB2 (also known as HER2) receptor, is the breast cancer subtype with the poorest outcome1. No targeted therapy is available against this subtype of cancer owing to a lack of validated molecular targets. We previously reported that signaling involving MYC—an essential, pleiotropic transcription factor that regulates the expression of hundreds of genes—is disproportionally higher in triple-negative (TN) tumors than in receptor-positive (RP) tumors2. Direct inhibition of the oncogenic transcriptional activity of MYC has been challenging to achieve3. Here, by conducting a shRNA screen targeting the kinome, we identified PIM1, a non-essential serine–threonine kinase, in a synthetic lethal interaction with MYC. PIM1 expression was higher in TN tumors than in RP tumors and was associated with poor prognosis in patients with hormone- and HER2-negative tumors. Small-molecule PIM kinase inhibitors halted the growth of human TN tumors with elevated MYC expression in patient-derived tumor xenograft (PDX) and MYC-driven transgenic mouse models of breast cancer by inhibiting the oncogenic transcriptional activity of MYC and restoring the function of the endogenous cell cycle inhibitor, p27. Our findings warrant clinical evaluation of PIM kinase inhibitors in patients with TN tumors that have elevated MYC expression.

BACKGROUND: Xenoestrogens are synthetic compounds that mimic endogenous estrogens by binding to and activating estrogen receptors. Exposure to estrogens and to some xenoestrogens has been associated with cell proliferation and an increased risk of breast cancer. Despite evidence of estrogenicity, parabens are among the most widely used xenoestrogens in cosmetics and personal-care products and are generally considered safe. However, previous cell-based studies with parabens do not take into account the signaling cross-talk between estrogen receptor alpha (ER alpha) and the human epidermal growth factor receptor (HER) family.OBJECTIVES: We investigated the hypothesis that the potency of parabens can be increased with HER ligands, such as heregulin (HRG).METHODS: The effects of HER ligands on paraben activation of c-Myc expression and cell proliferation were determined by real-time polymerase chain reaction, Western blots, flow cytometry, and chromatin immunoprecipitation assays in ER alpha- and HER2-positive human BT-474 breast cancer cells.RESULTS: Butylparaben (BP) and HRG produced a synergistic increase in c-Myc mRNA and protein levels in BT-474 cells. Estrogen receptor antagonists blocked the synergistic increase in c-Myc protein levels. The combination of BP and HRG also stimulated proliferation of BT-474 cells compared with the effects of BP alone. HRG decreased the dose required for BP-mediated stimulation of c-Myc mRNA expression and cell proliferation. HRG caused the phosphorylation of serine 167 in ERa. BP and HRG produced a synergistic increase in ER alpha recruitment to the c-Myc gene.CONCLUSION: Our results show that HER ligands enhanced the potency of BP to stimulate oncogene expression and breast cancer cell proliferation in vitro via ER alpha, suggesting that parabens might be active at exposure levels not previously considered toxicologically relevant from studies testing their effects in isolation.

Malignant melanomas often arise from nevi, which result from initial oncogene-induced hyperproliferation of melanocytes that are maintained in a CDKN2A/p16-mediated senescent state. Thus, genes that can bypass this senescence barrier are likely to contribute to melanoma development. We have performed a gain-of-function screen of 17,030 lentivirally expressed human open reading frames (ORFs) in a melanoma cell line containing an inducible p16 construct to identify such genes. Genes known to bypass p16-induced senescence arrest, including the human papilloma virus 18 E7 gene (HPV18E7), and genes such as the p16-binding CDK6 with expected functions, as well as panel of novel genes, were identified, including high-mobility group box (HMGB) proteins. A number of these were further validated in two other models of p16-induced senescence. Tissue immunohistochemistry demonstrated higher levels of CDK6 in primary melanomas compared with normal skin and nevi. Reduction of CDK6 levels drove melanoma cells expressing functional p16 into senescence, demonstrating its contribution to bypass senescence.

Abstract The greatest clinical challenge in treating breast cancer occurs in those patients whose tumors lack expression of the estrogen and progesterone receptors and that of the HER2 oncoprotein. No targeted therapeutic strategies currently exist against this aggressive type of “triple negative” breast cancer (TNBC) due to lack of validated targets. We previously found that MYC mRNA, protein, and its signaling were disproportionally elevated in TN compared to receptor positive (RP) breast cancer. We sought to take advantage of the unique molecular feature found in this tumor type to identify potent and effective treatment strategies. Since MYC is an oncogenic transcription factor, rationally designed small molecule inhibitors that can directly inhibit its activity are not available for clinical use. An alternative approach to selectively kill MYC-driven tumors is to inhibit those proteins that are indispensable for the viability of such tumors, but are not essential in non-tumorigenic cells. This form of “indirect” treatment strategy has become known as the “synthetic-lethal” approach. To identify novel targets that are readily druggable for treating MYC-driven TNBC, we conducted a kinome MYC synthetic lethal shRNA screen in non-immortalized human mammary epithelial cells expressing a 4-hydroxytamoxifen (TAM)-activatable MycER transgene (HMEC-MycER). Of 600 human kinases targeted by 2,000 individual shRNA clones, 9 kinases were identified as hits as they were essential specifically for the MYC-activated HMEC cells. Among these hits, we focused on PIM1, a non-essential kinase, the knock-down of which had the greatest efficacy in causing cell death in the MYC-activated cells and had minimum inhibitory effect on the growth of the control cells. We determined that PIM1 expression was elevated in TN tumors and was associated with poor prognosis specifically in patients with hormone receptor-negative tumors. Small molecule PIM kinase inhibitors halted the growth of human TN tumors with elevated MYC expression in a patient-derived tumor xenograft (PDX) mouse model by inhibiting oncogenic transcriptional activity of MYC while simultaneously restoring the function of the endogenous cell cycle inhibitor p27. Thus, our findings warrant clinical evaluation of small molecule PIM kinase inhibitors in patients with TN tumors that exhibit elevated MYC expression. Note: This abstract was not presented at the conference. Citation Format: Dai Horiuchi, Alicia Y. Zhou, Alexandra N. Corella, Christina Yau, Sanjeev Balakrishnan, Kai Kessenbrock, Devon A. Lawson, Roman Camarda, Brittany N. Anderton, Alexey V. Bazarov, Henok Eyob, Julia Rohrberg, Paul Yaswen, Michael T. McManus, Hope S. Rugo, Zena Werb, Andrei Goga. PIM kinase as a novel therapeutic target for triple-negative breast cancer. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Breast Cancer Research; Oct 17-20, 2015; Bellevue, WA. Philadelphia (PA): AACR; Mol Cancer Res 2016;14(2_Suppl):Abstract nr B34.

Single-cell analysis of gene expression in metastatic cells from distinct human breast tumour models shows that early metastatic cells possess basal, stem and mesenchymal cell properties, whereas advanced metastatic cells have more proliferative properties and are more mature, enabling them to be targeted with an anti-proliferative compound. An understanding the dynamics of metastasis is critical for the development of new cancer treatments. In an effort to characterize metastatic cell properties and correlate them with tumour burden, Zena Werb and colleagues used single-cell genomics tools to investigate cellular differentiation in individual human metastatic breast cancer cells from distinct breast tumour models. They find that early metastatic cells possess basal and mesenchymal properties, and carry markers of dormant tumour cells, while expressing pluripotent markers. In contrast, late metastatic cells have more proliferative properties and are less stem-cell like, expressing markers of differentiation. Given these differences, authors were also able to target the late metastatic cells with an anti-proliferative compound to reduce metastatic burden in a mouse model. Despite major advances in understanding the molecular and genetic basis of cancer, metastasis remains the cause of >90% of cancer-related mortality1. Understanding metastasis initiation and progression is critical to developing new therapeutic strategies to treat and prevent metastatic disease. Prevailing theories hypothesize that metastases are seeded by rare tumour cells with unique properties, which may function like stem cells in their ability to initiate and propagate metastatic tumours2,3,4,5. However, the identity of metastasis-initiating cells in human breast cancer remains elusive, and whether metastases are hierarchically organized is unknown2. Here we show at the single-cell level that early stage metastatic cells possess a distinct stem-like gene expression signature. To identify and isolate metastatic cells from patient-derived xenograft models of human breast cancer, we developed a highly sensitive fluorescence-activated cell sorting (FACS)-based assay, which allowed us to enumerate metastatic cells in mouse peripheral tissues. We compared gene signatures in metastatic cells from tissues with low versus high metastatic burden. Metastatic cells from low-burden tissues were distinct owing to their increased expression of stem cell, epithelial-to-mesenchymal transition, pro-survival, and dormancy-associated genes. By contrast, metastatic cells from high-burden tissues were similar to primary tumour cells, which were more heterogeneous and expressed higher levels of luminal differentiation genes. Transplantation of stem-like metastatic cells from low-burden tissues showed that they have considerable tumour-initiating capacity, and can differentiate to produce luminal-like cancer cells. Progression to high metastatic burden was associated with increased proliferation and MYC expression, which could be attenuated by treatment with cyclin-dependent kinase (CDK) inhibitors. These findings support a hierarchical model for metastasis, in which metastases are initiated by stem-like cells that proliferate and differentiate to produce advanced metastatic disease.