Interacting with tumor cells weakens the intrinsic clockwise chirality of endothelial cells

Endothelial cells (ECs) possess a strong intrinsic clockwise (CW, or rightward) chirality under normal conditions. Enervating this chirality of ECs significantly impairs the function of the endothelial barrier. Malignant tumor cells (TCs) undergo metastasis by playing upon the abnormal leakage of blood vessels. However, the impact of TCs on EC chirality is still poorly understood. Using a transwell model, we co-cultured the human umbilical vein endothelial cells or human lung microvascular endothelial cells and breast epithelial tumor cell lines to simulate the TC-EC interaction. Using a micropatterning method, we assessed the EC chirality changes induced by paracrine signaling of and physical contact with TCs. We found that the intrinsic clockwise chirality of ECs was significantly compromised by the TC's physical contact, while the paracrine signaling (i.e., without physical contact) of TCs causes minimal changes. In addition, ECs neighboring TCs tend to possess a left bias, while ECs spaced apart from TCs are more likely to preserve the intrinsic right bias. Finally, we found the chirality change of ECs could result from physical binding between CD44 and E-selectin, which activates protein kinase C alpha (PKCα) and induces pseudopodial movement of EC toward TC. Our findings together suggest the crucial role of EC-TC physical interaction in EC chirality and that weakening the EC chirality could potentially compromise the overall endothelial integrity which increases the probability of metastatic cancer spread.

Cis-acting super-enhancer lncRNAs as biomarkers to early-stage breast cancer

BACKGROUND

Increased breast cancer screening over the past four decades has led to a substantial rise in the diagnosis of ductal carcinoma in situ (DCIS). Although DCIS lesions precede invasive ductal carcinoma (IDC), they do not always transform into cancer. The current standard-of-care for DCIS is an aggressive course of therapy to prevent invasive and metastatic disease resulting in over-diagnosis and over-treatment. Thus, there is a critical need to identify functional determinants of progression of DCIS to IDC to allow discrimination between indolent and aggressive disease. Recent studies show that super-enhancers, in addition to promoting other gene transcription, are themselves transcribed producing super-enhancer associated long noncoding RNAs (SE-lncRNAs). These SE-lncRNAs can interact with their associated enhancer regions in cis and influence activities and expression of neighboring genes. Furthermore, they represent a novel, untapped group of therapeutic targets.

METHODS

With an integrative analysis of enhancer loci with global expression of SE-lncRNAs in the MCF10A progression series, we have identified differentially expressed SE-lncRNAs which can identify mechanisms for DCIS to IDC progression. Furthermore, cross-referencing these SE-lncRNAs with patient samples in the The Cancer Genome Atlas (TCGA) database, we have unveiled 27 clinically relevant SE-lncRNAs that potentially interact with their enhancer to regulate nearby gene expression. To complement SE-lncRNA expression studies, we conducted an unbiased global analysis of super-enhancers that are acquired or lost in progression.

RESULTS

Here we designate SE-lncRNAs RP11-379F4.4 and RP11-465B22.8 as potential markers of progression of DCIS to IDC through regulation of the expression of their neighboring genes (RARRES1 and miR-200b, respectively). Moreover, we classified 403 super-enhancer regions in MCF10A normal cells, 627 in AT1, 1053 in DCIS, and 320 in CA1 cells. Comparison analysis of acquired/lost super-enhancer regions with super-enhancer regions classified in 47 ER positive patients, 10 triple negative breast cancer (TNBC) patients, and 11 TNBC cell lines reveal critically acquired pathways including STAT signaling and NF-kB signaling. In contrast, protein folding, and local estrogen production are identified as major pathways lost in progression.

CONCLUSION

Collectively, these analyses identify differentially expressed SE-lncRNAs and acquired/lost super-enhancers in progression of breast cancer important for promoting DCIS lesions to IDC.

An Organotypic Mammary Duct Model Capturing Matrix Mechanics-Dependent Ductal Carcinoma In Situ Progression

Ductal carcinoma in situ (DCIS) is a precancerous stage breast cancer, where abnormal cells are contained within the duct, but have not invaded into the surrounding tissue. However, only 30-40% of DCIS cases are likely to progress into an invasive ductal carcinoma (IDC), while the remainder are innocuous. Since little is known about what contributes to the transition from DCIS to IDC, clinicians and patients tend to opt for treatment, leading to concerns of overdiagnosis and overtreatment. In vitro models are currently being used to probe how DCIS transitions into IDC, but many models do not take into consideration the macroscopic tissue architecture and the biomechanical properties of the microenvironment. In this study, we modeled an organotypic mammary duct as a channel molded in a collagen matrix and lined with basement membrane. By adjusting the concentration of collagen (4 and 8 mg/mL), we modulated the stiffness and morphological properties of the matrix and examined how an assortment of breast cells, including the isogenic MCF10 series that spans the range from healthy to aggressive, behaved within our model. We observed distinct characteristics of breast cancer progression such as hyperplasia and invasion. Normal mammary epithelial cells (MCF10A) formed a single-cell layer on the lumen surface, whereas the most aggressive (MCF10CA1) were several cell layers thick. The model captured collagen concentration-dependent protrusive behaviors by the MCF10A and MCF10CA1 cells, as well as a known invasive cell line (MDA-MB-231). The MCF10A and MCF10CA1 cells extended protrusions into the lower collagen concentration matrix, while the MDA-MB-231 cells fully invaded matrices of either collagen concentration but to a greater distance in the higher collagen concentration matrix. Our results show that the model can recapitulate different stages of breast cancer progression and that the MCF10 series is adaptable to physiologically relevant in vitro studies, demonstrating the potential of both the model and cell lines to elucidate key factors that may contribute to understanding the transition from DCIS to IDC. Impact statement The success of early preventative measures for breast cancer has left patients susceptible to overdiagnosis and overtreatment. Limited knowledge of factors driving an invasive transition has inspired the development of in vitro models that accurately capture this phenomenon. However, current models tend to neglect the macroscopic architecture and biomechanical properties of the mammary duct. In this study, we introduce an organotypic model that recapitulates the cylindrical geometry of the tissue and the altered stroma seen in tumor microenvironments. Our model was able to capture distinct features associated with breast cancer progression, demonstrating its potential to uncover novel insights into disease progression.

Cancer-Targeted Controlled Delivery of Chemotherapeutic Anthracycline Derivatives Using Apoferritin Nanocage Carriers

The interactions of chemotherapeutic drugs with nanocage protein apoferritin (APO) are the key features in the effective encapsulation and release of highly toxic drugs in APO-based controlled drug delivery systems. The encapsulation enables mitigating the drugs' side effects, collateral damage to healthy cells, and adverse immune reactions. Herein, the interactions of anthracycline drugs with APO were studied to assess the effect of drug lipophilicity on their encapsulation excess n and in vitro activity. Anthracycline drugs, including doxorubicin (DOX), epirubicin (EPI), daunorubicin (DAU), and idarubicin (IDA), with lipophilicity P from 0.8 to 15, were investigated. We have found that in addition to hydrogen-bonded supramolecular ensemble formation with n = 24, there are two other competing contributions that enable increasing n under strong polar interactions (APO(DOX)) or under strong hydrophobic interactions (APO(IDA) of the highest efficacy). The encapsulation/release processes were investigated using UV-Vis, fluorescence, circular dichroism, and FTIR spectroscopies. The in vitro cytotoxicity/growth inhibition tests and flow cytometry corroborate high apoptotic activity of APO(drugs) against targeted MDA-MB-231 adenocarcinoma and HeLa cells, and low activity against healthy MCF10A cells, demonstrating targeting ability of nanodrugs. A model for molecular interactions between anthracyclines and APO nanocarriers was developed, and the relationships derived compared with experimental results.

New twists on long noncoding RNAs: from mobile elements to motile cancer cells

The purpose of this review is to highlight several areas of lncRNA biology and cancer that we hope will provide some new insights for future research. These include the relationship of lncRNAs and the epithelial to mesenchymal transition (EMT) with a focus on transcriptional and alternative splicing mechanisms and mRNA stability through miRNAs. In addition, we highlight the potential role of enhancer e-lncRNAs, the importance of transposable elements in lncRNA biology, and finally the emerging area of using antisense oligonucleotides (ASOs) and small molecules to target lncRNAs and their therapeutic implications.

Long noncoding RNA BHLHE40-AS1 promotes early breast cancer progression through modulating IL-6/STAT3 signaling

Ductal carcinoma in situ (DCIS) is a nonobligate precursor to invasive breast cancer. Only a small percentage of DCIS cases are predicted to progress; however, there is no method to determine which DCIS lesions will remain innocuous from those that will become invasive disease. Therefore, DCIS is treated aggressively creating a current state of overdiagnosis and overtreatment. There is a critical need to identify functional determinants of progression of DCIS to invasive ductal carcinoma (IDC). Interrogating biopsies from five patients with contiguous DCIS and IDC lesions, we have shown that expression of the long noncoding RNA BHLHE40-AS1 increases with disease progression. BHLHE40-AS1 expression supports DCIS cell proliferation, motility, and invasive potential. Mechanistically, BHLHE40-AS1 modulates interleukin (IL)-6/signal transducer and activator of transcription 3 (STAT3) activity and a proinflammatory cytokine signature, in part through interaction with interleukin enhancer-binding factor 3. These data suggest that BHLHE40-AS1 supports early breast cancer progression by engaging STAT3 signaling, creating an immune-permissive microenvironment.

Abstract P5-18-10: BHLHE40-AS1 is an enhancer associated long noncoding RNA critical to breast cancer progression

Increased emphasis on breast cancer screening has led to a dramatic increase in diagnosis of ductal carcinoma in situ (DCIS). DCIS lesions are nonobligate precursors of invasive ductal carcinoma (IDC) and thus, the current standard-of-care is aggressive therapy to prevent invasive and metastatic disease. However, only ˜40% of DCIS cases are predicted to progress leading to a current state of overtreatment and overdiagnosis. Thus, there is a critical need to identify functional determinants of progression of DCIS to IDC to allow discrimination between indolent and aggressive breast cancers and refine patient treatment strategies.We propose that long noncoding RNAs (lncRNAs) functionally drive breast cancer progression and their expression can discriminate between innocuous and potentially invasive DCIS.

Using biopsies from women with tandem DCIS and IDC lesions, we identified 35 lncRNAs whose expression can distinguish between pre-invasive and invasive disease. From this candidate list, the lncRNA BHLHE40-AS1 is found enriched in multiple breast cancer progression models, in HER2+ cell lines, and HER2+ patient tumors. Functionally, BHLHE40-AS1 is found to support tumor cell cycle and motility and may serve as a clinically relevant biomarker and therapeutic target in invasive breast cancer.

Further, BHLHE40-AS1 is expressed from a known super-enhancer that preliminary evidence suggests undergoes altered chromatin looping during breast cancer progression. Interestingly, over half of the candidate lncRNAs are associated with enhancer regions. Current studies are investigating super-enhancers, and associated lncRNAs that become acquired during breast cancer progression.

Citation Format: DeVaux RS, Schimjawicz H, Coarfa C, Behbod F, Herschkowitz JI. BHLHE40-AS1 is an enhancer associated long noncoding RNA critical to breast cancer progression [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 P5-18-10.

Beyond DNA: the Role of Epigenetics in the Premalignant Progression of Breast Cancer

Ductal Carcinoma in Situ (DCIS) is an early breast cancer lesion that is considered a nonobligate precursor to development of invasive ductal carcinoma (IDC). Although only a small subset of DCIS lesions are predicted to progress into a breast cancer, distinguishing innocuous from minacious DCIS lesions remains a clinical challenge. Thus, patients diagnosed with DCIS will undergo surgery with the potential for radiation and hormone therapy. This has led to a current state of overdiagnosis and overtreatment. Interrogating the transcriptome alone has yet to define clear functional determinants of progression from DCIS to IDC. Epigenetic changes, critical for imprinting and tissue specific development, in the incorrect context can lead to global signaling rewiring driving pathological phenotypes. Epigenetic signaling pathways, and the molecular players that interpret and sustain their signals, are critical to understanding the underlying pathology of breast cancer progression. The types of epigenetic changes, as well as the molecular players, are expanding. In addition to DNA methylation, histone modifications, and chromatin remodeling, we must also consider enhancers as well as the growing field of noncoding RNAs. Herein we will review the epigenetic interactions that have been uncovered in early stage lesions that impact breast cancer progression, and how these players may be utilized as biomarkers to mitigate overdiagnosis and overtreatment.

Surface-enhanced Raman scattering investigation of targeted delivery and controlled release of gemcitabine

Advanced and metastatic cancer forms are extremely difficult to treat and require high doses of chemotherapeutics, inadvertently affecting also healthy cells. As a result, the observed survival rates are very low. For instance, gemcitabine (GEM), one of the most effective chemotherapeutic drugs used for the treatment of breast and pancreatic cancers, sees only a 20% efficacy in penetrating cancer tissue, resulting in <5% survival rate in pancreatic cancer. Here, we present a method for delivering the drug that offers mitigation of side effects, as well as a targeted delivery and controlled release of the drug, improving its overall efficacy. By modifying the surface of gold nanoparticles (AuNPs) with covalently bonded thiol linkers, we have immobilized GEM on the nanoparticle (NP) through a pH-sensitive amide bond. This bond prevents the drug from being metabolized or acting on tissue at physiological pH 7.4, but breaks, releasing the drug at acidic pH, characteristic of cancer cells. Further functionalization of the NP with folic acid and/or transferrin (TF) offers a targeted delivery, as cancer cells overexpress folate and TF receptors, which can mediate the endocytosis of the NP carrying the drug. Thus, through the modification of AuNPs, we have been able to produce a nanocarrier containing GEM and folate/TF ligands, which is capable of targeted controlled-release delivery of the drug, reducing the side effects of the drug and increasing its efficacy. Here, we demonstrate the pH-dependent GEM release, using an ultrasensitive surface-enhanced Raman scattering spectroscopy to monitor the GEM loading onto the nanocarrier and follow its stimulated release. Further in vitro studies with model triple-negative breast cancer cell line MDA-MB-231 have corroborated the utility of the proposed nanocarrier method allowing the administration of high drug doses to targeted cancer cells.

Inertial Microfluidic Cell Stretcher (iMCS): Fully Automated, High-Throughput, and Near Real-Time Cell Mechanotyping

Mechanical biomarkers associated with cytoskeletal structures have been reported as powerful label-free cell state identifiers. In order to measure cell mechanical properties, traditional biophysical (e.g., atomic force microscopy, micropipette aspiration, optical stretchers) and microfluidic approaches were mainly employed; however, they critically suffer from low-throughput, low-sensitivity, and/or time-consuming and labor-intensive processes, not allowing techniques to be practically used for cell biology research applications. Here, a novel inertial microfluidic cell stretcher (iMCS) capable of characterizing large populations of single-cell deformability near real-time is presented. The platform inertially controls cell positions in microchannels and deforms cells upon collision at a T-junction with large strain. The cell elongation motions are recorded, and thousands of cell deformability information is visualized near real-time similar to traditional flow cytometry. With a full automation, the entire cell mechanotyping process runs without any human intervention, realizing a user friendly and robust operation. Through iMCS, distinct cell stiffness changes in breast cancer progression and epithelial mesenchymal transition are reported, and the use of the platform for rapid cancer drug discovery is shown as well. The platform returns large populations of single-cell quantitative mechanical properties (e.g., shear modulus) on-the-fly with high statistical significances, enabling actual usages in clinical and biophysical studies.

Abstract 1598: LncRNA AK001796 as a therapeutic target in aggressive breast cancers

Breast cancer is a heterogeneous disease that can be classified into several distinct molecular subtypes based on gene expression. Like mRNAs and miRNAs, long noncoding RNAs (lncRNAs) differ dramatically in expression across subtypes and can be used for classification. While there has been considerable emphasis on miRNAs, our knowledge is still lacking about the role of lncRNAs that comprise the majority of the mammalian transcriptome. Recently, the importance of lncRNAs in cancer has been highlighted by several studies. We have examined the expression profiles of &gt;17,000 lncRNAs in a large set of breast tumors and have identified a lncRNA, AK001796, that is overexpressed in aggressive breast cancers. In particular, AK001796 is enriched in the aggressive claudin-low, HER-enriched, and luminal B subtypes. Furthermore, in four different models, we find that AK001796 is significantly upregulated in cell lines induced to undergo EMT and in putative mesenchymal-like cancer stem cells within cell lines suggesting this lncRNA as an inducer/facilitator of EMT. Similar results were obtained when a lung cancer cell line was induced to EMT through TGF beta treatment. Using cell fractionation, we have discovered that AK001796 is maintained predominantly in the nucleus. By RACE we have identified two isoforms of AK001796 in breast cancer cells that differ by the presence or absence of a 94 nucleotide intron. The short form (with intron spliced out) appears to be the variant enriched following EMT and may serve as a marker of aggressiveness. Interestingly, knockdown of AK001796 using antisense oligonucleotides lead to significantly increased apoptosis in EMT positive cell lines whereas in EMT negative cells knockdown had little effect. Preliminary studies for finding out the protein interacting partners identified some mesenchymal phenotype-associated proteins in pull-down studies using biotinylated oligos. To further investigate the molecular mechanisms regulated by AK001796 and its utility as a therapeutic target, we will determine the pathways induced by AK001796 by mapping its protein interaction network and downstream signaling pathways. These results nominate AK001796 as a promising therapeutic target in aggressive breast cancers.

Citation Format: Maneesh Kumar, Rebecca Sinnott DeVaux, Julia J. Shen, Steven P. Davis, Marcel E. Dinger, John S. Mattick, Charles M. Perou, Jeffrey M. Rosen, Sendurai A. Mani, Jason I. Herschkowitz. LncRNA AK001796 as a therapeutic target in aggressive breast cancers. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 1598.

Oncogenic mTOR signalling recruits myeloid-derived suppressor cells to promote tumour initiation

Myeloid-derived suppressor cells (MDSCs) play critical roles in primary and metastatic cancer progression. While MDSC regulation is widely variable even within patients harboring the same type of malignancy, the mechanisms governing such heterogeneity are largely unknown. Here, integrating human tumor genomics and syngeneic mammary tumor models, we demonstrate that mTOR signaling in cancer cells dictates a mammary tumor’s ability to stimulate MDSC accumulation through regulating G-CSF. Inhibiting this pathway or its activators (e.g., FGFR) impairs tumor progression, which is partially rescued by restoring MDSCs or G-CSF. Tumor-initiating cells (TICs) exhibit elevated G-CSF. MDSCs reciprocally increase TIC frequency through activating Notch in tumor cells, forming a feed-forward loop. Analyses of primary breast cancers and patient-derived xenografts (PDXs) corroborate these mechanisms in patients. These findings establish a non-canonical oncogenic role of mTOR signaling in recruiting pro-tumorigenic MDSCs and show how defined cancer subsets may evolve to promote and depend upon a distinct immune microenvironment.

Genomic profiling of murine mammary tumors identifies potential personalized drug targets for p53-deficient mammary cancers

Targeted therapies against basal-like breast tumors, which are typically 'triple-negative breast cancers (TNBCs)', remain an important unmet clinical need. Somatic TP53 mutations are the most common genetic event in basal-like breast tumors and TNBC. To identify additional drivers and possible drug targets of this subtype, a comparative study between human and murine tumors was performed by utilizing a murine Trp53-null mammary transplant tumor model. We show that two subsets of murine Trp53-null mammary transplant tumors resemble aspects of the human basal-like subtype. DNA-microarray, whole-genome and exome-based sequencing approaches were used to interrogate the secondary genetic aberrations of these tumors, which were then compared to human basal-like tumors to identify conserved somatic genetic features. DNA copy-number variation produced the largest number of conserved candidate personalized drug targets. These candidates were filtered using a DNA-RNA Pearson correlation cut-off and a requirement that the gene was deemed essential in at least 5% of human breast cancer cell lines from an RNA-mediated interference screen database. Five potential personalized drug target genes, which were spontaneously amplified loci in both murine and human basal-like tumors, were identified: Cul4a, Lamp1, Met, Pnpla6 and Tubgcp3 As a proof of concept, inhibition of Met using crizotinib caused Met-amplified murine tumors to initially undergo complete regression. This study identifies Met as a promising drug target in a subset of murine Trp53-null tumors, thus identifying a potential shared driver with a subset of human basal-like breast cancers. Our results also highlight the importance of comparative genomic studies for discovering personalized drug targets and for providing a preclinical model for further investigations of key tumor signaling pathways.

Abstract P2-05-14: The long noncoding RNA BHLHE40-AS1 as a functional biomarker of invasive breast cancer

Increased emphasis on breast cancer screening has led to a dramatic surge in diagnosis of pre-cancerous ductal carcinoma in situ (DCIS) over the past 30 years. Unfortunately, diagnosis of late stage invasive and metastatic disease has not proportionally declined, suggesting significant over diagnosis and over treatment of innocuous DCIS. Due to a lack of biomarkers, the heterogeneity of DCIS lesions, and an insufficient understanding of mechanisms of invasive progression, there is currently no clinically relevant method of predicting which DCIS lesions will advance to invasive disease. As a result, all DCIS patients undergo an aggressive treatment regimen to prevent disease progression. Therefore, there is a critical need to determine the underlying mechanisms driving breast cancer progression to better inform patient treatment options and nominate novel therapeutic entry points for treatment of invasive disease.

Recently, long noncoding RNAs (lncRNAs) have gained attention as critical regulators of epigenetic states and gene expression. Although the study of lncRNAs is in its infancy, they are being uncovered as pivotal regulators of development and tumorigenesis, thus they are a rich source of potential drivers of breast cancer progression. We propose that lncRNAs functionally drive breast cancer invasion and their expression can discriminate between innocuous and potentially invasive DCIS.

Using biopsies from women that exhibit tandem DCIS and invasive breast cancer lesions, we have identified a cohort of long noncoding RNAs (lncRNAs) that are enriched in the invasive biopsy. From this cohort we have identified the lncRNA BHLHE40-AS1 as increasing in a step-wise manner in a breast cancer progression series that escalates from normal, non-transformed cells to highly invasive disease. Preliminary evidence suggests that BHLHE40-AS1 expression regulates invasive potential in vitro. Using a GeneChip® Human Transcriptome 2.0 Array (HTA) we have identified several targets previously associated with driving breast cancer invasion as being potentially regulated by BHLHE40-AS1. Future directions will focus on determining the effect of BHLHE40-AS1 expression on tumor cell invasion in an orthotopic xenograft model, mechanistically elaborating its function, and determining the utility of BHLHE40-AS1 as a clinically relevant biomarker of invasive breast cancer.

Citation Format: DeVaux RKS, Davis S, Sheftel J, Coarfa C, Behbod F, Herschkowitz JI. The long noncoding RNA BHLHE40-AS1 as a functional biomarker of invasive breast cancer. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P2-05-14.

Expression profiling of in vivo ductal carcinoma in situ progression models identified B cell lymphoma-9 as a molecular driver of breast cancer invasion

Introduction

There are an estimated 60,000 new cases of ductal carcinoma in situ (DCIS) each year. A lack of understanding in DCIS pathobiology has led to overtreatment of more than half of patients. We profiled the temporal molecular changes during DCIS transition to invasive ductal carcinoma (IDC) using in vivo DCIS progression models. These studies identified B cell lymphoma-9 (BCL9) as a potential molecular driver of early invasion. BCL9 is a newly found co-activator of Wnt-stimulated β-catenin-mediated transcription. BCL9 has been shown to promote progression of multiple myeloma and colon carcinoma. However BCL9 role in breast cancer had not been previously recognized.

Methods

Microarray and RNA sequencing were utilized to characterize the sequential changes in mRNA expression during DCIS invasive transition. BCL9-shRNA knockdown was performed to assess the role of BCL9 in in vivo invasion, epithelial-mesenchymal transition (EMT) and canonical Wnt-signaling. Immunofluorescence of 28 patient samples was used to assess a correlation between the expression of BCL9 and biomarkers of high risk DCIS. The cancer genome atlas data were analyzed to assess the status of BCL9 gene alterations in breast cancers.

Results

Analysis of BCL9, by RNA and protein showed BCL9 up-regulation to be associated with DCIS transition to IDC. Analysis of patient DCIS revealed a significant correlation between high nuclear BCL9 and pathologic characteristics associated with DCIS recurrence: Estrogen receptor (ER) and progesterone receptor (PR) negative, high nuclear grade, and high human epidermal growth factor receptor2 (HER2). In vivo silencing of BCL9 resulted in the inhibition of DCIS invasion and reversal of EMT. Analysis of the TCGA data showed BCL9 to be altered in 26 % of breast cancers. This is a significant alteration when compared to HER2 (ERBB2) gene (19 %) and estrogen receptor (ESR1) gene (8 %). A significantly higher proportion of basal like invasive breast cancers compared to luminal breast cancers showed BCL9 amplification.

Conclusion

BCL9 is a molecular driver of DCIS invasive progression and may predispose to the development of basal like invasive breast cancers. As such, BCL9 has the potential to serve as a biomarker of high risk DCIS and as a therapeutic target for prevention of IDC.

Electronic supplementary material

The online version of this article (doi:10.1186/s13058-015-0630-z) contains supplementary material, which is available to authorized users.

Abstract P4-05-01: Genetic analysis of the role of Brca1 in suppression of basal-like breast cancer

BRCA1 mutation carriers are predisposed to developing basal-like breast cancers with high metastasis and poor prognosis. However, the mechanism underlying the function of BRCA1 in suppressing basal-like breast cancer remains unclear.

We previously reported that deletion of p18Ink4c (p18), an inhibitor of CDK4 and CDK6, functionally inactivates the RB pathway, stimulates mammary luminal stem cell proliferation, and leads to spontaneous luminal tumor development whereas germline mutation of Brca1 alters the fate of luminal cells and causes luminal-to-basal mammary tumor transformation. We report here that disruption of Brca1 by both germline and epithelium-specific mutation of Brca1 in p18 deficient mice activates epithelial-to-mesenchymal transition (EMT) and induces basal-like breast tumors. Introduction of BRCA1 suppresses expression of EMT-inducing transcription factors (EMT-TFs) and inhibits EMT in mammary tumor cells. Knockdown of BRCA1 in human luminal cancer cells activates EMT and increases tumor formation potential. Consistently, EMT features are inversely correlated with BRCA1 in human breast cancers. These findings provide genetic evidence suggesting that BRCA1 suppresses EMT and inhibits basal-like tumor development.

Citation Format: Xin-Hai Pei, Feng Bai, Ho Lam Chan, Alexandria Scott, Matthew D Smith, Cheng Fan, Jason I Herschkowitz, Charles M Perou, Alan S Livingstone, David J Robbins, Anthony J Capobianco. Genetic analysis of the role of Brca1 in suppression of basal-like breast cancer [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P4-05-01.

BRCA1 suppresses epithelial-to-mesenchymal transition and stem cell dedifferentiation during mammary and tumor development

BRCA1 mutation carriers are predisposed to developing basal-like breast cancers with high metastasis and poor prognosis. Yet, how BRCA1 suppresses formation of basal-like breast cancers is still obscure. Deletion of p18(Ink4c) (p18), an inhibitor of CDK4 and CDK6, functionally inactivates the RB pathway, stimulates mammary luminal stem cell (LSC) proliferation, and leads to spontaneous luminal tumor development. Alternately, germline mutation of Brca1 shifts the fate of luminal cells to cause luminal-to-basal mammary tumor transformation. Here, we report that disrupting Brca1 by either germline or epithelium-specific mutation in p18-deficient mice activates epithelial-to-mesenchymal transition (EMT) and induces dedifferentiation of LSCs, which associate closely with expansion of basal and cancer stem cells and formation of basal-like tumors. Mechanistically, BRCA1 bound to the TWIST promoter, suppressing its activity and inhibiting EMT in mammary tumor cells. In human luminal cancer cells, BRCA1 silencing was sufficient to activate TWIST and EMT and increase tumor formation. In parallel, TWIST expression and EMT features correlated inversely with BRCA1 expression in human breast cancers. Together, our findings showed that BRCA1 suppressed TWIST and EMT, inhibited LSC dedifferentiation, and repressed expansion of basal stem cells and basal-like tumors. Thus, our work offers the first genetic evidence that Brca1 directly suppresses EMT and LSC dedifferentiation during breast tumorigenesis.

Overexpression of miR-146a in basal-like breast cancer cells confers enhanced tumorigenic potential in association with altered p53 status

The tumor suppressor p53 is the most frequently mutated gene in human cancers, mutated in 25-30% of breast cancers. However, mutation rates differ according to breast cancer subtype, being more prevalent in aggressive estrogen receptor-negative tumors and basal-like and HER2-amplified subtypes. This heterogeneity suggests that p53 may function differently across breast cancer subtypes. We used RNAi-mediated p53 knockdown (KD) and antagomir-mediated KD of microRNAs to study how gene expression and cellular response to p53 loss differ in luminal versus basal-like breast cancer. As expected, p53 loss caused downregulation of established p53 targets (e.g. p21 and miR-34 family) and increased proliferation in both luminal and basal-like cell lines. However, some p53-dependent changes were subtype specific, including expression of miR-134, miR-146a and miR-181b. To study the cellular response to miR-146a upregulation in p53-impaired basal-like lines, antagomir KD of miR-146a was performed. KD of miR-146a caused decreased proliferation and increased apoptosis, effectively ablating the effects of p53 loss. Furthermore, we found that miR-146a upregulation decreased NF-κB expression and downregulated the NF-κB-dependent extrinsic apoptotic pathway (including tumor necrosis factor, FADD and TRADD) and antagomir-mediated miR-146a KD restored expression of these components, suggesting a plausible mechanism for miR-146a-dependent cellular responses. These findings are relevant to human basal-like tumor progression in vivo, since miR-146a is highly expressed in p53 mutant basal-like breast cancers. These findings suggest that targeting miR-146a expression may have value for altering the aggressiveness of p53 mutant basal-like tumors.

Transcriptomic classification of genetically engineered mouse models of breast cancer identifies human subtype counterparts

Background

Human breast cancer is a heterogeneous disease consisting of multiple molecular subtypes. Genetically engineered mouse models are a useful resource for studying mammary cancers in vivo under genetically controlled and immune competent conditions. Identifying murine models with conserved human tumor features will facilitate etiology determinations, highlight the effects of mutations on pathway activation, and should improve preclinical drug testing.

Results

Transcriptomic profiles of 27 murine models of mammary carcinoma and normal mammary tissue were determined using gene expression microarrays. Hierarchical clustering analysis identified 17 distinct murine subtypes. Cross-species analyses using three independent human breast cancer datasets identified eight murine classes that resemble specific human breast cancer subtypes. Multiple models were associated with human basal-like tumors including TgC3(1)-Tag, TgWAP-Myc and Trp53^-/-. Interestingly, the TgWAPCre-Etv6 model mimicked the HER2-enriched subtype, a group of human tumors without a murine counterpart in previous comparative studies. Gene signature analysis identified hundreds of commonly expressed pathway signatures between linked mouse and human subtypes, highlighting potentially common genetic drivers of tumorigenesis.

Conclusions

This study of murine models of breast carcinoma encompasses the largest comprehensive genomic dataset to date to identify human-to-mouse disease subtype counterparts. Our approach illustrates the value of comparisons between species to identify murine models that faithfully mimic the human condition and indicates that multiple genetically engineered mouse models are needed to represent the diversity of human breast cancers. The reported trans-species associations should guide model selection during preclinical study design to ensure appropriate representatives of human disease subtypes are used.

Abstract A039: The role of long noncoding RNAs in epithelial to mesenchymal transition and cancer stem cells

The claudin-low subtype is generally triple (ER, PR, HER2) negative and there are currently no targeted agents directed at them. These tumors express low levels of tight and adherens junction genes including claudin 3 and E-cadherin, and high levels of markers associated with epithelial-mesenchymal transition (EMT) including Snail, Twist, and Zeb1/2. Claudin-low tumors are also enriched in signatures derived from human tumor-initiating cells and a sorted population enriched for human mammary stem cells. miRNAs are differentially expressed in claudin-low tumors including low expression of the miR-200 family - regulators of EMT and stemness. MiR-200 overexpression in claudin-low cell lines causes them to lose this classification and to adopt an expression profile of another subtype. While there has been considerable emphasis on miRNAs, our knowledge is still lacking about the role of long noncoding RNAs (lncRNAs) that comprise the majority of the mammalian transcriptome. Here, we have examined the expression profiles of &gt;17,000 lncRNAs in a large set of breast tumors. Like mRNAs and miRNAs, lncRNAs differ dramatically in expression across subtypes and can be used for classification. LncRNAs that are differentially regulated in cell lines induced to undergo EMT are associated with claudin-low tumors and we have identified some of these lncRNAs as potential regulators of the EMT/CSC phenotype. We have begun to study the subcellular localization and potential function of a couple of these candidate lncRNAs using RNA FISH and siRNA knockdown respectively. These results suggest major roles for noncoding RNAs in claudin-low breast tumors and in the regulation of breast cancer stem cells.

Citation Format: Jason I. Herschkowitz, Cristian Coarfa, Aleix Prat, Michael J. Toneff, Katherine A. Hoadley, Marcel E. Dinger, John S. Mattick, Sendurai A. Mani, Charles M. Perou, Jeffrey M. Rosen. The role of long noncoding RNAs in epithelial to mesenchymal transition and cancer stem cells. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Breast Cancer Research: Genetics, Biology, and Clinical Applications; Oct 3-6, 2013; San Diego, CA. Philadelphia (PA): AACR; Mol Cancer Res 2013;11(10 Suppl):Abstract nr A039.

Predicting drug responsiveness in human cancers using genetically engineered mice

PURPOSE

To use genetically engineered mouse models (GEMM) and orthotopic syngeneic murine transplants (OST) to develop gene expression-based predictors of response to anticancer drugs in human tumors. These mouse models offer advantages including precise genetics and an intact microenvironment/immune system.

EXPERIMENTAL DESIGN

We examined the efficacy of 4 chemotherapeutic or targeted anticancer drugs, alone and in combination, using mouse models representing 3 distinct breast cancer subtypes: Basal-like (C3(1)-T-antigen GEMM), Luminal B (MMTV-Neu GEMM), and Claudin-low (T11/TP53-/- OST). We expression-profiled tumors to develop signatures that corresponded to treatment and response, and then tested their predictive potential using human patient data.

RESULTS

Although a single agent exhibited exceptional efficacy (i.e., lapatinib in the Neu-driven model), generally single-agent activity was modest, whereas some combination therapies were more active and life prolonging. Through analysis of RNA expression in this large set of chemotherapy-treated murine tumors, we identified a pair of gene expression signatures that predicted pathologic complete response to neoadjuvant anthracycline/taxane therapy in human patients with breast cancer.

CONCLUSIONS

These results show that murine-derived gene signatures can predict response even after accounting for common clinical variables and other predictive genomic signatures, suggesting that mice can be used to identify new biomarkers for human patients with cancer.

FOXC2 expression links epithelial-mesenchymal transition and stem cell properties in breast cancer

Resistance to chemotherapy and metastases are the major causes of breast cancer-related mortality. Moreover, cancer stem cells (CSC) play critical roles in cancer progression and treatment resistance. Previously, it was found that CSC-like cells can be generated by aberrant activation of epithelial-mesenchymal transition (EMT), thereby making anti-EMT strategies a novel therapeutic option for treatment of aggressive breast cancers. Here, we report that the transcription factor FOXC2 induced in response to multiple EMT signaling pathways as well as elevated in stem cell-enriched factions is a critical determinant of mesenchymal and stem cell properties, in cells induced to undergo EMT- and CSC-enriched breast cancer cell lines. More specifically, attenuation of FOXC2 expression using lentiviral short hairpin RNA led to inhibition of the mesenchymal phenotype and associated invasive and stem cell properties, which included reduced mammosphere-forming ability and tumor initiation. Whereas, overexpression of FOXC2 was sufficient to induce CSC properties and spontaneous metastasis in transformed human mammary epithelial cells. Furthermore, a FOXC2-induced gene expression signature was enriched in the claudin-low/basal B breast tumor subtype that contains EMT and CSC features. Having identified PDGFR-β to be regulated by FOXC2, we show that the U.S. Food and Drug Administration-approved PDGFR inhibitor, sunitinib, targets FOXC2-expressing tumor cells leading to reduced CSC and metastatic properties. Thus, FOXC2 or its associated gene expression program may provide an effective target for anti-EMT-based therapies for the treatment of claudin-low/basal B breast tumors or other EMT-/CSC-enriched tumors.

Noncoding RNAs involved in mammary gland development and tumorigenesis: there's a long way to go

The mammalian genome encodes thousands of noncoding RNAs. These noncoding transcripts are broadly categorized into short noncoding RNAs, such as microRNAs (miRNAs), and long noncoding RNAs (lncRNAs) of greater than 200 nt. While the role of miRNAs in development and cancer biology has been extensively studied, much less is known about the vast majority of noncoding transcripts represented by lncRNAs. LncRNAs are emerging as key regulators of developmental processes and as such, their frequent misregulation in tumorigenesis and disease in not unexpected. The role of lncRNAs in mammary gland development and breast cancer is just beginning to be elucidated. This review will discuss the role of lncRNAs in mammalian and mammary gland development. In addition, we will review the contributions of lncRNAs to the stepwise progression of tumorigenesis, highlighting the role of lncRNAs in breast cancer.

RB1 and p53 at the crossroad of EMT and triple-negative breast cancer

Triple-negative breast cancer (TNBC) is a heterogeneous disease that includes Basal-like and Claudin-low tumors. The Claudin-low tumors are enriched for features associated with epithelial-to-mesenchymal transition (EMT) and possibly for tumor initiating cells. Primary TNBCs respond relatively well to conventional chemotherapy; however, metastatic disease is virtually incurable. Thus, there is a great interest in identifying specific therapeutic targets for TNBC. The tumor suppressor RB1 is frequently lost in Basal-like breast cancer. To test for a causative role of RB1 gene loss in BC and for its effect on specific subtypes, we deleted mouse Rb in mammary stem/bipotent progenitor cells. This led to diverse mammary tumors including TNBC, with a subset of the latter containing p53 mutations and exhibiting features of Basal-like BC or EMT. Combined mutation of Rb and p53 in mammary stem/bipotent progenitors induced EMT type tumors. Here, we review our findings and those of others, which connect Rb and p53 to EMT in TNBC. Furthermore, we discuss how by understanding this circuit and its vulnerabilities, we may identify novel therapy for TNBC.

Small players with big roles: microRNAs as targets to inhibit breast cancer progression

As modulators of gene expression, microRNAs (miRNAs) are essential for normal development. Not surprisingly, aberrant expression of miRNAs is associated with many diseases, including cancer. Studies of various breast cancer subtypes have demonstrated that, like gene expression profiles and pathological differences, miRNA profiles can distinguish various tumor subtypes. Over the last few years, roles for miRNAs during many stages of breast cancer progression have been established. This includes potential breast cancer associated polymorphisms in miRNA target sites or miRNAs themselves, miRNAs that can act as tumor suppressors or oncogenes, and miRNAs that can modulate metastatic spread. Recent studies have also suggested key roles for miRNAs in regulating cancer stem cells. Thus, miRNAs have now become important therapeutic targets. This can be achieved by replacing miRNA expression where it has been lost or decreased, or conversely by inhibiting miRNA expression where it has been amplified or overexpressed in cancers. Ultimately, miRNAs should provide both important prognostic biomarkers as well as new targetable molecules for the treatment of breast cancer.

Phenotypic and molecular characterization of the claudin-low intrinsic subtype of breast cancer

INTRODUCTION

In breast cancer, gene expression analyses have defined five tumor subtypes (luminal A, luminal B, HER2-enriched, basal-like and claudin-low), each of which has unique biologic and prognostic features. Here, we comprehensively characterize the recently identified claudin-low tumor subtype.

METHODS

The clinical, pathological and biological features of claudin-low tumors were compared to the other tumor subtypes using an updated human tumor database and multiple independent data sets. These main features of claudin-low tumors were also evaluated in a panel of breast cancer cell lines and genetically engineered mouse models.

RESULTS

Claudin-low tumors are characterized by the low to absent expression of luminal differentiation markers, high enrichment for epithelial-to-mesenchymal transition markers, immune response genes and cancer stem cell-like features. Clinically, the majority of claudin-low tumors are poor prognosis estrogen receptor (ER)-negative, progesterone receptor (PR)-negative, and epidermal growth factor receptor 2 (HER2)-negative (triple negative) invasive ductal carcinomas with a high frequency of metaplastic and medullary differentiation. They also have a response rate to standard preoperative chemotherapy that is intermediate between that of basal-like and luminal tumors. Interestingly, we show that a group of highly utilized breast cancer cell lines, and several genetically engineered mouse models, express the claudin-low phenotype. Finally, we confirm that a prognostically relevant differentiation hierarchy exists across all breast cancers in which the claudin-low subtype most closely resembles the mammary epithelial stem cell.

CONCLUSIONS

These results should help to improve our understanding of the biologic heterogeneity of breast cancer and provide tools for the further evaluation of the unique biology of claudin-low tumors and cell lines.

Rb deletion in mouse mammary progenitors induces luminal-B or basal-like/EMT tumor subtypes depending on p53 status

Breast cancer is a highly heterogeneous disease, with several different subtypes being characterized by distinct histology, gene expression patterns, and genetic alterations. The tumor suppressor gene retinoblastoma 1 (RB1) is frequently lost in both luminal-B and triple-negative tumor (TNT; i.e., estrogen receptor-, progesterone receptor-, and human epidermal growth factor receptor 2-negative) breast cancer subtypes. However, a causal role for RB1 loss in different subtypes remains undefined. Here we report that deletion of Rb alone or together with its relative p107 in mouse mammary stem/bipotent progenitor cells induced focal acinar hyperplasia with squamous metaplasia. These lesions progressed into histologically diverse, transplantable mammary tumors with features of either luminal-B or TNT subtypes. The TNTs included basal-like tumors as well as tumors that exhibited epithelial-to-mesenchymal transition (EMT). The EMT-type tumors and a subset of the basal-like tumors, but not luminal-B-like tumors, expressed mutant forms of the tumor suppressor p53. Accordingly, targeted deletion of both Rb and p53 in stem/bipotent progenitors led to histologically uniform, aggressive, EMT-type tumors. Reintroduction of Rb into these tumor cells suppressed growth in vitro and tumor formation in vivo. These results establish a causal role for Rb loss in breast cancer in mice and demonstrate that cooperating oncogenic events, such as mutations in p53, dictate tumor subtype after Rb inactivation.

Fibroblast growth factor receptor signaling dramatically accelerates tumorigenesis and enhances oncoprotein translation in the mouse mammary tumor virus-Wnt-1 mouse model of breast cancer

Fibroblast growth factor (FGF) cooperates with the Wnt/beta-catenin pathway to promote mammary tumorigenesis. To investigate the mechanisms involved in FGF/Wnt cooperation, we genetically engineered a model of inducible FGF receptor (iFGFR) signaling in the context of the well-established mouse mammary tumor virus-Wnt-1 transgenic mouse. In the bigenic mice, iFGFR1 activation dramatically enhanced mammary tumorigenesis. Expression microarray analysis did not show transcriptional enhancement of Wnt/beta-catenin target genes but instead showed a translational gene signature that also correlated with elevated FGFR1 and FGFR2 in human breast cancer data sets. Additionally, iFGFR1 activation enhanced recruitment of RNA to polysomes, resulting in a marked increase in protein expression of several different Wnt/beta-catenin target genes. FGF pathway activation stimulated extracellular signal-regulated kinase and the phosphorylation of key translation regulators both in vivo in the mouse model and in vitro in a human breast cancer cell line. Our results suggest that cooperation of the FGF and Wnt pathways in mammary tumorigenesis is based on the activation of protein translational pathways that result in, but are not limited to, increased expression of Wnt/beta-catenin target genes (at the level of protein translation). Further, they reveal protein translation initiation factors as potential therapeutic targets for human breast cancers with alterations in FGF signaling.

The ups and downs of miR-205: identifying the roles of miR-205 in mammary gland development and breast cancer

Recent studies have demonstrated that miR-205 has a role in both normal development and cancer, however conflicting reports on its function illustrate the complexity of its regulation and targets. Additionally, miR-205 was found to be highly expressed in stem cell-enriched populations from the mouse mammary gland, and thus may play a function in normal mammary stem cell maintenance. The role that miR-205 plays in tumor formation and metastasis is likely context-dependent as reports have indicated that it may function as either a tumor suppressor or an oncogene. The role that miR-205 plays in directing stem cell fate is still unknown.

Abstract 4212: p53 null spindloid murine mammary tumors show features associated with human claudin-low tumors and enrichment for cancer stem cells

The claudin-low subtype is a recently identified new and rare molecular subtype of human breast cancer which we hypothesize may be enriched for cancer stem cells or tumor-initiating cells (TIC). These tumors express low levels of tight and adherens junction genes including claudin 3 and E-cadherin. Claudin-low tumors also often highly express markers associated with epithelial-mesenchymal transition (EMT) including EMT inducers Snail, Twist, Zeb1, and Zeb2. These tumors are also enriched in recently published signatures derived from human TICs and a sorted population enriched for human mammary stem cells. Using comparative genomics, we discovered that there are mouse mammary tumors that have similar gene expression characteristics as claudin-low human tumors and are also enriched in the human TIC signature. Tumors in this group were rare tumors which came from a number of distinct mouse models including the p53 null transplant model. We have now collected over forty more tumors from the p53 null model, a phenotypically heterogeneous tumor model, in order to identify tumors of different molecular subtypes including claudin-low/spindloid tumors that can be transplanted and expanded in vivo. Here we present a molecular characterization of the p53 null mammary tumor bank as compared to other mouse models and human breast tumor subtypes. Similar to human tumors, the p53 null tumors fall into multiple molecular groups, a basal-like subtype, a luminal subtype, and a claudin-low subtype. Like human breast tumors, the p53 null claudin-low tumors show high expression of EMT inducers. They also show low to absent expression of both claudin 3 and E-cadherin by microarray as well as immunostaining. These groups also contain distinct genomic copy number changes as assessed by array comparative genomic hybridization. Finally, we show by limiting dilution transplantation, that p53 null claudin-low tumors are significantly enriched for TICs as compared to the more common adenocarcinomas arising in the same model. In conclusion, p53 null claudin-low/spindloid tumors show features of human claudin-low tumors and they are enriched for TICs, which has yet to be demonstrated experimentally for human claudin-low tumors.

Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 4212.

Abstract 282: FGF receptor signaling accelerates Wnt-1 mammary tumorigenesis and enhances translation of Wnt/β-catenin target oncogenes

The fibroblast growth factor pathway is known to cooperate with the Wnt/B-catenin pathway in mouse mammary tumorigenesis, and both of these pathways have been implicated in the etiology of human breast cancer. Despite this evidence, little is known about the molecular mechanism contributing to FGF/Wnt pathway cooperation. To investigate the mechanisms involved in this cooperativity, we used genetically engineered mice expressing a drug-inducible model for FGF Receptor signaling (iFGFR) crossed with the well-characterized MMTV-Wnt-1 mouse model. In these bigenic mice, iFGFR1 activation resulted in a dramatic enhancement of mammary tumorigenesis. Tumor microarray analysis did not reveal transcriptional enhancement of Wnt/B-catenin targets, but instead identified a protein translational gene signature that also correlated with elevated FGFR1 and FGFR2 expression in several human breast cancer data sets. Additionally, iFGFR1 activation resulted in enhanced polysome recruitment and a marked increase in protein expression of several different Wnt/B-catenin target oncogenes. Rapid FGFR1-induced ERK activation and phosphorylation of key translation regulators was observed both in vivo in the transgenic mouse model, and in a human breast cancer cell line treated with exogenous FGF. These studies suggest that translational regulation is a key rate-limiting step required for oncogenic cooperativity between the Wnt and FGF pathways. These results not only demonstrate the oncogenic potential of FGFR1 signaling, but also highlight a possible mode of cooperation between FGF and Wnt signaling, involving synergism between two fundamental levels of gene regulation, transcription and translation. FGFRs, provide drugable targets for adjuvant therapy and several known FGFR inhibitors are currently in clinical trials. Additionally, key downstream regulators of translation initiation may also serve as potential therapeutic targets for breast cancers with enhanced FGF signaling.

Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 282.

Mouse models of triple negative [basal-like/claudin low] breast cancer

Triple negative breast cancer encompasses the molecular subtypes of basal-like and the more recently defined claudin-low group. In this review, we discuss the identification and characterization of mouse models that mimic these human subtypes. These mouse models serve as useful tools for the study of disease biology and represent a valuable resource for the evaluation of experimental therapeutics.

The functional loss of the retinoblastoma tumour suppressor is a common event in basal-like and luminal B breast carcinomas

Introduction

Breast cancers can be classified using whole genome expression into distinct subtypes that show differences in prognosis. One of these groups, the basal-like subtype, is poorly differentiated, highly metastatic, genomically unstable, and contains specific genetic alterations such as the loss of tumour protein 53 (TP53). The loss of the retinoblastoma tumour suppressor encoded by the RB1 locus is a well-characterised occurrence in many tumour types; however, its role in breast cancer is less clear with many reports demonstrating a loss of heterozygosity that does not correlate with a loss of RB1 protein expression.

Methods

We used gene expression analysis for tumour subtyping and polymorphic markers located at the RB1 locus to assess the frequency of loss of heterozygosity in 88 primary human breast carcinomas and their normal tissue genomic DNA samples.

Results

RB1 loss of heterozygosity was observed at an overall frequency of 39%, with a high frequency in basal-like (72%) and luminal B (62%) tumours. These tumours also concurrently showed low expression of RB1 mRNA. p16^INK4a was highly expressed in basal-like tumours, presumably due to a previously reported feedback loop caused by RB1 loss. An RB1 loss of heterozygosity signature was developed and shown to be highly prognostic, and was potentially a predictive marker of response to neoadjuvant chemotherapy.

Conclusions

These results suggest that the functional loss of RB1 is common in basal-like tumours, which may play a key role in dictating their aggressive biology and unique therapeutic responses.

Molecular analysis reveals heterogeneity of mouse mammary tumors conditionally mutant for Brca1

Background

Development of therapies for patients with BRCA1 mutations has been hampered by lack of readily available in vitro and in vivo models. We recently showed that transplantation of transgenic mammary tumors as cell suspensions into naïve recipients generates reproducible tumors with remarkable stability of gene expression profile. We examined the expression profiles of original and serially transplanted mammary tumors from Brca1 deficient mice, and tumor derived cell lines to validate their use for preclinical testing and studies of tumor biology.

Methods

Original tumors, serially transplanted and multiple cell lines derived from Brca1 mammary tumors were characterized by morphology, gene and protein expression, and cell surface markers.

Results

Gene expression among Brca1 tumors showed more heterogeneity than among previously characterized tumors from MMTV-PyMT and -Wnt1 models. Gene expression data segregated Brca1 tumors into 3 distinct types: basal, mixed luminal, and tumors with epithelial-to-mesenchymal transition (EMT). Serial transplantation of individual tumors and multiple cell lines derived from the original tumors recapitulated the molecular characteristics of each tumor of origin. One tumor had distinct features of EMT and gave rise to cell lines that contained a distinct CD44⁺/CD24^-/low population that may correlate with human breast cancer stem cells.

Conclusion

Although individual tumors expanded by transplantation maintain the genomic profile of the original tumors, the heterogeneity among Brca1 tumors limits the extent of their use for preclinical testing. However, cell lines offer a robust material for understanding tumor biology and response to therapies driven by BRCA1 deficiency.

ETV6-NTRK3 fusion oncogene initiates breast cancer from committed mammary progenitors via activation of AP1 complex

To better understand the cellular origin of breast cancer, we developed a mouse model that recapitulates expression of the ETV6-NTRK3 (EN) fusion oncoprotein, the product of the t(12;15)(p13;q25) translocation characteristic of human secretory breast carcinoma. Activation of EN expression in mammary tissues by Wap-Cre leads to fully penetrant, multifocal malignant breast cancer with short latency. We provide genetic evidence that, in nulliparous Wap-Cre;EN females, committed alveolar bipotent or CD61(+) luminal progenitors are targets of tumorigenesis. Furthermore, EN transforms these otherwise transient progenitors through activation of the AP1 complex. Given the increasing relevance of chromosomal translocations in epithelial cancers, such mice serve as a paradigm for the study of their genetic pathogenesis and cellular origins, and generation of preclinical models.

Identification of conserved gene expression features between murine mammary carcinoma models and human breast tumors

BACKGROUND

Although numerous mouse models of breast carcinomas have been developed, we do not know the extent to which any faithfully represent clinically significant human phenotypes. To address this need, we characterized mammary tumor gene expression profiles from 13 different murine models using DNA microarrays and compared the resulting data to those from human breast tumors.

RESULTS

Unsupervised hierarchical clustering analysis showed that six models (TgWAP-Myc, TgMMTV-Neu, TgMMTV-PyMT, TgWAP-Int3, TgWAP-Tag, and TgC3(1)-Tag) yielded tumors with distinctive and homogeneous expression patterns within each strain. However, in each of four other models (TgWAP-T121, TgMMTV-Wnt1, Brca1Co/Co;TgMMTV-Cre;p53+/- and DMBA-induced), tumors with a variety of histologies and expression profiles developed. In many models, similarities to human breast tumors were recognized, including proliferation and human breast tumor subtype signatures. Significantly, tumors of several models displayed characteristics of human basal-like breast tumors, including two models with induced Brca1 deficiencies. Tumors of other murine models shared features and trended towards significance of gene enrichment with human luminal tumors; however, these murine tumors lacked expression of estrogen receptor (ER) and ER-regulated genes. TgMMTV-Neu tumors did not have a significant gene overlap with the human HER2+/ER- subtype and were more similar to human luminal tumors.

CONCLUSION

Many of the defining characteristics of human subtypes were conserved among the mouse models. Although no single mouse model recapitulated all the expression features of a given human subtype, these shared expression features provide a common framework for an improved integration of murine mammary tumor models with human breast tumors.

Characterization of mammary tumors from Brg1 heterozygous mice

Mammalian SWI/SNF-related complexes have been implicated in cancer based on some of the subunits physically interacting with retinoblastoma (RB) and other proteins involved in carcinogenesis. Additionally, several subunits are mutated or not expressed in tumor-derived cell lines. Strong evidence for a role in tumorigenesis in vivo, however, has been limited to SNF5 mutations that result primarily in malignant rhabdoid tumors (MRTs) in humans and MRTs as well as other sarcomas in mice. We previously generated a null mutation of the Brg1 catalytic subunit in the mouse and reported that homozygotes die during embryogenesis. Here, we demonstrate that Brg1 heterozygotes are susceptible to mammary tumors that are fundamentally different than Snf5 tumors. First, mammary tumors are carcinomas not sarcomas. Second, Brg1+/- tumors arise because of haploinsufficiency rather than loss of heterozygosity. Third, Brg1+/- tumors exhibit genomic instability but not polyploidy based on array comparative genomic hybridization results. We monitored Brg1+/-, Brm-/- double-mutant mice but did not observe any tumors resembling those from Snf5 mutants, indicating that the Brg1+/- and Snf5+/- tumor phenotypes do not differ simply because Brg1 has a closely related paralog whereas Snf5 does not. These findings demonstrate that BRG1 and SNF5 are not functionally equivalent but protect against cancer in different ways. We also demonstrate that Brg1+/- mammary tumors have relatively heterogeneous gene expression profiles with similarities and differences compared to other mouse models of breast cancer. The Brg1+/- expression profiles are not particularly similar to mammary tumors from Wap-T121 transgenic line where RB is perturbed. We were also unable to detect a genetic interaction between the Brg1+/- and Rb+/- tumor phenotypes. These latter findings do not support a BRG1-RB interaction in vivo.

Clustering microarray-derived gene lists through implicit literature relationships

MOTIVATION

Microarrays rapidly generate large quantities of gene expression information, but interpreting such data within a biological context is still relatively complex and laborious. New methods that can identify functionally related genes via shared literature concepts will be useful in addressing these needs.

RESULTS

We have developed a novel method that uses implicit literature relationships (concepts related via shared, intermediate concepts) to cluster related genes. Genes are evaluated for implicit connections within a network of biomedical objects (other genes, ontological concepts and diseases) that are connected via their co-occurrences in Medline titles and/or abstracts. On the basis of these implicit relationships, individual gene pairs are scored using a probability-based algorithm. Scores are generated for all pairwise combinations of genes, which are then clustered based on the scores. We applied this method to a test set composed of nine functional groups with known relationships. The method scored highly for all nine groups and significantly better than a benchmark co-occurrence-based method for six groups. We then applied this method to gene sets specific to two previously defined breast tumor subtypes. Analysis of the results recapitulated known biological relationships and identified novel pathway relationships unique to each tumor subtype. We demonstrate that this method provides a valuable new means of identifying and visualizing significantly related genes within gene lists via their implicit relationships in the literature.

Gene expression patterns associated with p53 status in breast cancer

BACKGROUND

Breast cancer subtypes identified in genomic studies have different underlying genetic defects. Mutations in the tumor suppressor p53 occur more frequently in estrogen receptor (ER) negative, basal-like and HER2-amplified tumors than in luminal, ER positive tumors. Thus, because p53 mutation status is tightly linked to other characteristics of prognostic importance, it is difficult to identify p53's independent prognostic effects. The relation between p53 status and subtype can be better studied by combining data from primary tumors with data from isogenic cell line pairs (with and without p53 function).

METHODS

The p53-dependent gene expression signatures of four cell lines (MCF-7, ZR-75-1, and two immortalized human mammary epithelial cell lines) were identified by comparing p53-RNAi transduced cell lines to their parent cell lines. Cell lines were treated with vehicle only or doxorubicin to identify p53 responses in both non-induced and induced states. The cell line signatures were compared with p53-mutation associated genes in breast tumors.

RESULTS

Each cell line displayed distinct patterns of p53-dependent gene expression, but cell type specific (basal vs. luminal) commonalities were evident. Further, a common gene expression signature associated with p53 loss across all four cell lines was identified. This signature showed overlap with the signature of p53 loss/mutation status in primary breast tumors. Moreover, the common cell-line tumor signature excluded genes that were breast cancer subtype-associated, but not downstream of p53. To validate the biological relevance of the common signature, we demonstrated that this gene set predicted relapse-free, disease-specific, and overall survival in independent test data.

CONCLUSION

In the presence of breast cancer heterogeneity, experimental and biologically-based methods for assessing gene expression in relation to p53 status provide prognostic and biologically-relevant gene lists. Our biologically-based refinements excluded genes that were associated with subtype but not downstream of p53 signaling, and identified a signature for p53 loss that is shared across breast cancer subtypes.