Mammary morphogenesis is an orchestrated process involving differentiation, proliferation and organization of cells to form a bi-layered epithelial network of ducts and lobules embedded in stromal tissue. We have engineered a 3D biomimetic human breast that makes it possible to study how stem cell fate decisions translate to tissue-level structure and function. Using this advancement, we describe the mechanism by which breast epithelial cells build a complex three-dimensional, multi-lineage tissue by signaling through a collagen receptor. Discoidin domain receptor tyrosine kinase 1 induces stem cells to differentiate into basal cells, which in turn stimulate luminal progenitor cells via Notch signaling to differentiate and form lobules. These findings demonstrate how human breast tissue regeneration is triggered by transmission of signals from the extracellular matrix through an epithelial bilayer to coordinate structural changes that lead to formation of a complex ductal-lobular network.

Abstract Background: Breast cancer is a heterogeneous disease encompassing multiple subtypes that differ in their molecular profiles, clinical course of progression, and response to therapeutics. Interestingly, breast cancers fall broadly into luminal and basal subtypes, which resemble the normal luminal and basal epithelial cells of the breast. This correlation suggests that the molecular mechanisms controlling epithelial cell lineage identity during normal mammary development may also influence tumor subtype during cancer formation. Since many breast cancers are driven by oncogenes that are important for normal mammary development, we hypothesize that dysregulated oncogene signaling may alter mammary epithelial cell lineage identity at an early step of cancer initiation, priming the breast tumor subtype that will be formed upon full tumorigenesis. Methods: Human breast cell lines, MCF10a and MCF10f, and primary human breast tissues were infected with virus expressing single breast cancer oncogenes. Flow cytometry and quantitative RT-PCR were performed on breast cell lines to determine changes in the balance of luminal to basal cells and expression of luminal or basal gene sets. Primary tissues were grown in hydrogels and stained for luminal and basal markers to determine the effect of oncogene expression on the growth of mammary ductal structures. Mouse tumor models, MMTV-Myc and MMTV-Wnt1, were investigated for changes in their mammary epithelial architecture by histology and flow cytometry at ages prior to tumor formation. Results: Oncogene overexpression in human breast cell lines causes shifts in basal and luminal cell balance that correlate with changes seen in mammary ductal growth in hydrogel cultures of primary human breast epithelial cells. In mouse models, individual oncogenes alter mammary epithelial architecture and cell balance at early stages prior to tumor formation. In both models, individual oncogenes are able to regulate mammary epithelial cell lineage identity in the absence of other tumor-initiating signals, indicating that oncogenes may influence breast cancer subtype through mammary epithelial cell lineage regulation at early stages of cancer progression. Citation Format: Jerrica Breindel, Felix Nampanya, Aditya Datye, Daniel H. Miller, Piyush Gupta, Charlotte Kuperwasser. Oncogenes alter mammary epithelial cell lineage identity prior to tumor formation [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 534.

The epithelial compartment of the mammary gland contains basal and luminal cell lineages, as well as stem and progenitor cells that reside upstream in the differentiation hierarchy. Stem and progenitor cell differentiation is regulated to maintain adult tissue and mediate expansion during pregnancy and lactation. The genetic factors that regulate the transition of cells between differentiation states remain incompletely understood. Here, we present a genome-scale method to discover genes driving cell-state specification. Applying this method, we identify a transcription factor, BCL11B, which drives stem cell self-renewal in vitro, by inhibiting differentiation into the basal lineage. To validate BCL11B's functional role, we use two-dimensional colony-forming and three-dimensional tissue differentiation assays to assess the lineage differentiation potential and functional abilities of primary human mammary cells. These findings show that BCL11B regulates mammary cell differentiation and demonstrate the utility of our proposed genome-scale strategy for identifying lineage regulators in mammalian tissues.

12087 Background: Oncology drug discovery programs commonly utilize genetic or chemical screens with cancer cell lines propagated on two-dimensional (2D) plastic surfaces. While convenient for high-throughput screens, such cultures do not incorporate the extracellular matrix (ECM) present in patient tumors, which plays a critical role in determining cancer cell signaling. This has led to significant concerns about the biological relevance of targets discovered using standard 2D cultures, but the extent to which performing assays in 3D ECM would alter the leads generated by screening is not known. Methods: We have recently developed 3D hydrogel scaffolds that replicate the physical and signaling characteristics of human tissues. We performed both high-throughput CRISPR and chemical screens, doing so in parallel either in standard 2D cultures or in 3D ECM. The CRISPR screen included 10 sgRNAs targeting each of 507 kinases in the human genome. The chemical screen was performed with 780 drugs approved by the FDA for oncology and other indications. Results: The CRISPR screen identified major differences in the kinase pathways utilized by cancer cells in 3D vs. 2D. We discovered 29 kinases that were essential for promoting growth in 3D tissues but had no phenotype when inhibited in 2D. In addition, 3 kinases were essential in 2D culture but were not essential in 3D ECM. The drug screen identified agents that inhibited cancer cell viability or invasion. Drugs that inhibited viability were strongly enriched for FDA-approved oncology drugs. By contrast, most of the 26 drugs that were potent inhibitors of cancer cell invasion in 3D were approved for non-oncology indications (22/26), identifying opportunities to ‘repurpose’ drugs to target cancer invasion. Conclusions: Our findings establish the importance of conducting target and drug discovery efforts in biomimetic 3D conditions that replicate the matrix content of human tissues. Continued use of standard 2D cultures poses a risk of generating both false-positives and false-negatives -- identifying spurious leads that will not validate in follow up studies, or failing to identify novel leads that are promising candidates for follow-up validation.

Advances in mammography have sparked an exponential increase in the detection of early-stage breast lesions, most commonly ductal carcinoma in situ (DCIS). More than 50% of DCIS lesions are benign and will remain indolent, never progressing to invasive cancers. However, the factors that promote DCIS invasion remain poorly understood. Here, we show that SMARCE1 is required for the invasive progression of DCIS and other early-stage tumors. We show that SMARCE1 drives invasion by regulating the expression of secreted proteases that degrade basement membrane, an ECM barrier surrounding all epithelial tissues. In functional studies, SMARCE1 promotes invasion of in situ cancers growing within primary human mammary tissues and is also required for metastasis in vivo. Mechanistically, SMARCE1 drives invasion by forming a SWI/SNF-independent complex with the transcription factor ILF3. In patients diagnosed with early-stage cancers, SMARCE1 expression is a strong predictor of eventual relapse and metastasis. Collectively, these findings establish SMARCE1 as a key driver of invasive progression in early-stage tumors.

PERK signaling is required for cancer invasion and there is interest in targeting this pathway for therapy. Unfortunately, chemical inhibitors of PERK’s kinase activity cause on-target side effects that have precluded their further development. One strategy for resolving this difficulty would be to target downstream components of the pathway that specifically mediate PERK’s pro-invasive and metastatic functions. Here we identify the transcription factor CREB3L1 as an essential mediator of PERK’s pro-metastatic functions in breast cancer. CREB3L1 acts downstream of PERK, specifically in the mesenchymal subtype of triple-negative tumors, and its inhibition by genetic or pharmacological methods suppresses cancer cell invasion and metastasis. In patients with this tumor subtype, CREB3L1 expression is predictive of distant metastasis. These findings establish CREB3L1 as a key downstream mediator of PERK-driven metastasis and a druggable target for breast cancer therapy.

We present a protocol for expanding human mammary tissues from primary patient-derived cells in three-dimensional (3D) cultures. The primary epithelial cells are seeded into 3D hydrogels with defined components, which include both proteins and carbohydrates present in mammary tissue. Over a span of 10-14 days, the seeded cells form mammary tissues with complex ductal-lobular topologies and include luminal and basal cells in the correct orientation, together with cells that stain positively for stem cell markers. In addition to recapitulating key architectural features of human mammary tissue, the expanded tissues also respond to lactogenic hormones including estrogen, progesterone, and prolactin. We anticipate that these cultures will prove useful for studies of mammary development and breast cancer.

BACKGROUND:Three-dimensional (3D) cultures have proven invaluable for expanding human tissues for basic research and clinical applications. In both contexts, 3D cultures are most useful when they (1) support the outgrowth of tissues from primary human cells that have not been immortalized through extensive culture or viral infection and (2) include defined, physiologically relevant components. Here we describe a 3D culture system with both of these properties that stimulates the outgrowth of morphologically complex and hormone-responsive mammary tissues from primary human breast epithelial cells.METHODS:Primary human breast epithelial cells isolated from patient reduction mammoplasty tissues were seeded into 3D hydrogels. The hydrogel scaffolds were composed of extracellular proteins and carbohydrates present in human breast tissue and were cultured in serum-free medium containing only defined components. The physical properties of these hydrogels were determined using atomic force microscopy. Tissue growth was monitored over time using bright-field and fluorescence microscopy, and maturation was assessed using morphological metrics and by immunostaining for markers of stem cells and differentiated cell types. The hydrogel tissues were also studied by fabricating physical models from confocal images using a 3D printer.RESULTS:When seeded into these 3D hydrogels, primary human breast epithelial cells rapidly self-organized in the absence of stromal cells and within 2 weeks expanded to form mature mammary tissues. The mature tissues contained luminal, basal, and stem cells in the correct topological orientation and also exhibited the complex ductal and lobular morphologies observed in the human breast. The expanded tissues became hollow when treated with estrogen and progesterone, and with the further addition of prolactin produced lipid droplets, indicating that they were responding to hormones. Ductal branching was initiated by clusters of cells expressing putative mammary stem cell markers, which subsequently localized to the leading edges of the tissue outgrowths. Ductal elongation was preceded by leader cells that protruded from the tips of ducts and engaged with the extracellular matrix.CONCLUSIONS:These 3D hydrogel scaffolds support the growth of complex mammary tissues from primary patient-derived cells. We anticipate that this culture system will empower future studies of human mammary gland development and biology.

The majority of ovarian tumors eventually recur in a drug resistant form. Using cisplatin sensitive and resistant cell lines assembled into 3D spheroids we profiled gene expression and identified candidate mechanisms and biological pathways associated with cisplatin resistance. OVCAR-8 human ovarian carcinoma cells were exposed to sub-lethal concentrations of cisplatin to create a matched cisplatin-resistant cell line, OVCAR-8R. Genome-wide gene expression profiling of sensitive and resistant ovarian cancer spheroids identified 3,331 significantly differentially expressed probesets coding for 3,139 distinct protein-coding genes (Fc > 2, FDR < 0.05) (S2 Table). Despite significant expression changes in some transporters including MDR1, cisplatin resistance was not associated with differences in intracellular cisplatin concentration. Cisplatin resistant cells were significantly enriched for a mesenchymal gene expression signature. OVCAR-8R resistance derived gene sets were significantly more biased to patients with shorter survival. From the most differentially expressed genes, we derived a 17-gene expression signature that identifies ovarian cancer patients with shorter overall survival in three independent datasets. We propose that the use of cisplatin resistant cell lines in 3D spheroid models is a viable approach to gain insight into resistance mechanisms relevant to ovarian tumors in patients. Our data support the emerging concept that ovarian cancers can acquire drug resistance through an epithelial-to-mesenchymal transition.

The search for genes that regulate stem cell self-renewal and differentiation has been hindered by a paucity of markers that uniquely label stem cells and early progenitors. To circumvent this difficulty we have developed a method that identifies cell-state regulators without requiring any markers of differentiation, termed Perturbation-Expression Analysis of Cell States (PEACS). We have applied this marker-free approach to screen for transcription factors that regulate mammary stem cell differentiation in a 3D model of tissue morphogenesis and identified RUNX1 as a stem cell regulator. Inhibition of RUNX1 expanded bipotent stem cells and blocked their differentiation into ductal and lobular tissue rudiments. Reactivation of RUNX1 allowed exit from the bipotent state and subsequent differentiation and mammary morphogenesis. Collectively, our findings show that RUNX1 is required for mammary stem cells to exit a bipotent state, and provide a new method for discovering cell-state regulators when markers are not available.

PTP1B, a validated therapeutic target for diabetes and obesity, has a critical positive role in HER2 signaling in breast tumorigenesis. Efforts to develop therapeutic inhibitors of PTP1B have been frustrated by the chemical properties of the active site. We define a new mechanism of allosteric inhibition that targets the C-terminal, noncatalytic segment of PTP1B. We present what is to our knowledge the first ensemble structure of PTP1B containing this intrinsically disordered segment, within which we identified a binding site for the small-molecule inhibitor MSI-1436. We demonstrate binding to a second site close to the catalytic domain, with cooperative effects between the two sites locking PTP1B in an inactive state. MSI-1436 antagonized HER2 signaling, inhibited tumorigenesis in xenografts and abrogated metastasis in the NDL2 mouse model of breast cancer, validating inhibition of PTP1B as a therapeutic strategy in breast cancer. This new approach to inhibition of PTP1B emphasizes the potential of disordered segments of proteins as specific binding sites for therapeutic small molecules.

Serous epithelial ovarian cancer (EOC) patients often succumb to aggressive metastatic disease, yet little is known about the behavior and genetics of ovarian cancer metastasis. Here, we aim to understand how omental metastases differ from primary tumors and how these differences may influence chemotherapy. We analyzed the miRNA expression profiles of primary EOC tumors and their respective omental metastases from 9 patients using miRNA Taqman qPCR arrays. We find 17 miRNAs with differential expression in omental lesions compared to primary tumors. miR-21, miR-150, and miR-146a have low expression in most primary tumors with significantly increased expression in omental lesions, with concomitant decreased expression of predicted mRNA targets based on mRNA expression. We find that miR-150 and miR-146a mediate spheroid size. Both miR-146a and miR-150 increase the number of residual surviving cells by 2-4 fold when challenged with lethal cisplatin concentrations. These observations suggest that at least two of the miRNAs, miR-146a and miR-150, up-regulated in omental lesions, stimulate survival and increase drug tolerance. Our observations suggest that cancer cells in omental tumors express key miRNAs differently than primary tumors, and that at least some of these microRNAs may be critical regulators of the emergence of drug resistant disease.

The behavior and genetics of serous epithelial ovarian cancer (EOC) metastasis, the form of the disease lethal to patients, is poorly understood. The unique properties of metastases are critical to understand to improve treatments of the disease that remains in patients after debulking surgery. We sought to identify the genetic and phenotypic landscape of metastatic progression of EOC to understand how metastases compare to primary tumors. DNA copy number and mRNA expression differences between matched primary human tumors and omental metastases, collected at the same time during debulking surgery before chemotherapy, were measured using microarrays. qPCR and immunohistochemistry validated findings. Pathway analysis of mRNA expression revealed metastatic cancer cells are more proliferative and less apoptotic than primary tumors, perhaps explaining the aggressive nature of these lesions. Most cases had copy number aberrations (CNAs) that differed between primary and metastatic tumors, but we did not detect CNAs that are recurrent across cases. A six gene expression signature distinguishes primary from metastatic tumors and predicts overall survival in independent datasets. The genetic differences between primary and metastatic tumors, yet common expression changes, suggest that the major clone in metastases is not the same as in primary tumors, but the cancer cells adapt to the omentum similarly. Together, these data highlight how ovarian tumors develop into a distinct, more aggressive metastatic state that should be considered for therapy development.

Objective. Determine mechanisms responsible for enhanced statin efficacy in a novel statin combination we name STOX (STatin-OXysterol).Methods. Ovarian cancer cell lines were treated with combinations of statins and oxysterols. Cell viability was determined by a modified MTT assay. Apoptosis was evaluated by immunoblotting of PARP and DAPI-mediated visualization of apoptotic nuclei. STOX effects on the expression of genes of the mevalonate pathway were assessed by real-time qPCR and immunoblotting. siRNA-mediated gene silencing was used to test the involvement of oxysterol-mediated repression of SREBP-2 in STOX synergy. The impact of statin-mediated inhibition of protein prenylation and on cholesterol homeostasis was evaluated.Results. Oxysterols dramatically enhance cytotoxicity of statins in ovarian cancer cells through increased apoptosis. Decreased expression of SREBP-2 down-regulates the mevalonate pathway and prevents the active statin-induced sterol feedback, enhancing statin toxicity. Comparison of two ovarian cancer cell lines reveals two distinct mechanisms of statin induced toxicity, namely, dependence on protein geranylgeranylation and/ or perturbation of cellular cholesterol levels.Conclusions. We provide evidence of statins' mechanisms of cytotoxicity in different ovarian cancer cells and discovered a new approach to significantly enhance the anti-tumor activity of statins. These observations provide a potential new path to improve statins as a treatment against ovarian cancer with obtainable dosages. (C) 2014 Elsevier Inc. All rights reserved.

Background Ovarian cancer is the most deadly gynecological cancer with a very poor prognosis. Xenograft mouse models have proven to be one very useful tool in testing candidate therapeutic agents and gene function in vivo . In this study we identify genes and gene networks important for the efficacy of a pre-clinical anti-tumor therapeutic, MT19c. Methods In order to understand how ovarian xenograft tumors may be growing and responding to anti-tumor therapeutics, we used genome-wide mRNA expression and DNA copy number measurements to identify key genes and pathways that may be critical for SKOV-3 xenograft tumor progression. We compared SKOV-3 xenografts treated with the ergocalciferol derived, MT19c, to untreated tumors collected at multiple time points. Cell viability assays were used to test the function of the PPARγ agonist, Rosiglitazone, on SKOV-3 cell growth. Results These data indicate that a number of known survival and growth pathways including Notch signaling and general apoptosis factors are differentially expressed in treated vs. untreated xenografts. As tumors grow, cell cycle and DNA replication genes show increased expression, consistent with faster growth. The steroid nuclear receptor, PPARγ, was significantly up-regulated in MT19c treated xenografts. Surprisingly, stimulation of PPARγ with Rosiglitazone reduced the efficacy of MT19c and cisplatin suggesting that PPARγ is regulating a survival pathway in SKOV-3 cells. To identify which genes may be important for tumor growth and treatment response, we observed that MT19c down-regulates some high copy number genes and stimulates expression of some low copy number genes suggesting that these genes are particularly important for SKOV-3 xenograft growth and survival. Conclusions We have characterized the time dependent responses of ovarian xenograft tumors to the vitamin D analog, MT19c. Our results suggest that PPARγ promotes survival for some ovarian tumor cells. We propose that a combination of regulated expression and copy number can identify genes that are likely important for chemotherapy response. Our findings suggest a new approach to identify candidate genes that are critical for anti-tumor therapy.

OBJECTIVE:To determine the function of T0901317 in combination treatment with cisplatin in ovarian cancer cells. METHODS:We screened the effects of 3 nuclear hormone receptor ligands on cell viability in a panel of ovarian cancer cell lines. T0901317 regulation of apoptosis and cell cycle regulators was determined when applied as a single agent or in combination with cisplatin. RESULTS:Surprisingly, the liver X receptor agonist T0901317 had no significant effects on a panel of 7 ovarian cancer cell lines as a single agent. T0901317 does, however, significantly decrease cisplatin efficacy in at least 3 ovarian cancer cell lines. T0901317 reduces cisplatin-induced apoptosis and reverses cisplatin-induced expression of cell cycle regulators. T0901317 seems to work in a liver X receptor-, pregnane X receptor-, and farnesoid X receptor-independent manner, as agonists of these nuclear hormone receptors did not show similar effects. Interestingly, in the A2780-cp drug-resistant cell line, the effect of T0901317 is lost, suggesting that the pathways stimulated by T0901317 to reduce cisplatin efficacy could be inherently active features of the selected resistance. CONCLUSIONS:Together, these data suggest that T0901317 inhibits cisplatin in some ovarian cancer cells. These data provide an avenue to investigate when T0901317 may be acting to promote tumor survival and drug resistance through control of apoptosis and when it may be acting as an antitumor agent as has been previously reported.