Breast Tumor Heterogeneity Research Articles

High nuclear level of Vav1 is a positive prognostic factor in early invasive breast tumors: a role in modulating genes related to the efficiency of metastatic process.

Vav1 is one of the signalling proteins normally restricted to hematopoietic cells that results ectopically expressed in solid tumors, including breast cancer. By immunohistochemical analysis on TMAs containing invasive breast tumor from patients without lymph node involvement, we have found that Vav1 is expressed in almost all investigated cancers and shows a peculiar localization inside the nucleus of tumor cells. High amounts of nuclear Vav1 are positively correlated with low incidence of relapse, regardless phenotype and molecular subtype of breast neoplasia. In particular, Kaplan-Meier plots showed an elevated risk of distant metastasis in patients with low Vav1 expression compared with patients with high Vav1 expression in their tumors. Experiments performed with breast tumor-derived cells indicated that Vav1 negatively modulates their invasiveness in vitro and their metastatic efficiency in vivo, possibly by affecting the expression of genes involved in invasion and/or metastasis of breast tumors. Since the high heterogeneity of breast tumors makes difficult to predict the evolution of early breast neoplasias, the evaluation of nuclear Vav1 levels may help in the characterization and management of early breast cancer patients. In particular, Vav1 may serve as a prognostic biomarker and a target for new therapies aimed to prevent breast cancer progression.

Vav1 is ectopically expressed in breast tumors in which reduces the efficiency of the metastatic process

Vav1, normally restricted to hematopoietic cells, results ectopically expressed in solid tumors, including breast cancer (Sebban et al., 2013) in which, contrarily to other neoplasias, seems to be higher in tumors from patients who remained diseasefree than in patients who developed recurrence (Lane et al., 2008). The significance of Vav1 expression in breast tumors was evaluated by immunohistochemical analysis on TMAs containing invasive breast tumors from patients without lymph node involvement. Our findings indicate that Vav1 is expressed in almost all investigated cancers and shows a peculiar localization inside the nucleus of tumor cells. High amounts of nuclear Vav1 positively correlates with low incidence of relapse, regardless phenotype and molecular subtype of the neoplasia. Experiments performed with breast tumor-derived cells showing different morphology, immunoprofile and invasive properties indicated that Vav1 negatively modulates their invasiveness in vitro and their metastatic efficiency in vivo, possibly by affecting the expression of genes involved in invasion and/or metastasis of breast cancer. Since the high heterogeneity of breast tumors makes difficult to predict the evolution of early neoplasias, the evaluation of nuclear Vav1 levels may help in profiling and management of early breast cancer patients. In addition, Vav1 may serve as a target for new therapies designed to prevent breast cancer progression.

Abstract PD4-7: Deep clonal profiling of primary breast cancer and distant lymph node metastases

Abstract Background: Breast and other solid tumors exhibit high and varying degrees of intra-tumor heterogeneity that make the management and treatment of these diseases rather difficult. In order to study clinically relevant tumor heterogeneity in detail we performed an in-depth analysis of the clonal architecture of primary chemoradiation-naive breast cancers and their lymph node metastases. We combined DNA content-based flow cytometry and ploidy analysis with high-definition array comparative genomic hybridization (aCGH) and next-generation sequencing technologies to interrogate the genomes and transcriptomes of multiple biopsies from the tumors and involved lymph nodes. Thus rather than inferring the presence of distinct tumor cell populations, our flow-sorting based approach of first identifying and defining the clonal populations and then interrogating their genomes provides a highly objective method of exploring the clinical significance of tumor heterogeneity in solid tumors. Material and methods: We used DAPI-based DNA content measurements and flow sorting to isolate nuclei from distinct clonal populations of diploid and aneuploid tumor cells in surgical tumor samples and distant lymph nodes from chemoradiation naive patients. In parallel, matching samples were processed for pathological, transcriptome, and IHC based assays. Each distinct sorted tumor cell population was then interrogated with aCGH and next generation sequencing. For each patient, the detailed profiles of ploidy, copy number aberrations and mutations were used to recreate and map the lineages present in the primary tumor and lymph. In one detailed case, we used 12 fresh frozen sections morphologically mapped from within a chemo-naïve primary invasive ductal carcinoma of histological grade 3 with lymph node involvement, 2-3 fresh frozen sections from 2 out of 5 lymph nodes with metastatic carcinoma, formalin-fixed paraffin-embedded (FFPE) tissue sections from 2 more of the involved lymph nodes and 5 morphologically mapped FFPE samples of normal tissue adjacent to the tumor. Results: We identified multiple coexisting aneuploid populations within biopsies from individual patients. Our clonal analysis determined the genomic aberrations arising in lineages that spread throughout the primary tumor and later bifurcated to distinct lymph nodes, revealing distinct therapeutic targets in the trunk and branches of the tumor. We identified driver events including high-level focal amplifications (e.g. SARC) and homozygous deletions (e.g. ROBO1 and ROBO2), that converge on distinct cellular signaling pathways. Conclusion: The approach highlighted here has broad implications in the study of tumor heterogeneity in breast and other solid tumors by providing a unique ultra-high resolution view of tumor heterogeneity that can advance more effective treatment and clinical management of patients with this disease. Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr PD4-7.

Perfusion Heterogeneity in Breast Tumors for Assessment of Angiogenesis

The purpose of this study was to investigate the perfusion heterogeneity of malignant and benign breast tumors and assay their vascular architecture changes and molecular expression, thereby evaluating the relevance between imaging and histologic characteristics of angiogenesis. Real-time grayscale contrast-enhanced sonography was performed in 310 women with 317 breast tumors. The enhancement patterns and perfusion parameters for malignant and benign tumors were analyzed by contrast-enhanced sonography with microvascular imaging and quantitative time-intensity curve analysis. Structural characteristics were observed by light and electron microscopy. The microvessel density, vascular endothelial growth factor (VEGF) expression, and human kinase insert domain-containing receptor (KDR) expression for all tumors were assessed by immunohistochemical staining of CD31, KDR, and VEGF. Surgical pathologic analysis showed 163 malignant and 154 benign tumors. Significant morphologic differences, including perfusion defects, vessel distortion, vessel dilatation, and heterogeneous enhancement, were observed between the malignant and benign groups (P < .05). The mean perfusion parameters (peak intensity, ascending slope, area under the curve, and wash-out time) were greater in the malignant tumors (P < .05). There were significant differences in the peak intensity, ascending slope, area under the curve, and wash-out time between peripheral and central regions of the malignant tumors (P < .05) but none in the benign tumors. Vessels had various morphologic and distributional characteristics in the peripheral and central regions of the malignant tumors. The microvessel density and VEGF and KDR expression were significantly higher in the malignant group (P < .05), especially in the peripheral regions. Perfusion heterogeneity was closely associated with the tumor microvascular architecture and molecular expression. Perfusion features, especially regional morphologic and hemodynamic features, can provide valuable information for differentiating malignant from benign breast tumors.

Droplet Digital PCR Measurement of HER2 Copy Number Alteration in Formalin-Fixed Paraffin-Embedded Breast Carcinoma Tissue

Human epidermal growth factor receptor 2 (HER2) testing is routinely performed by immunohistochemistry (IHC) and/or fluorescence in situ hybridization (FISH) analyses for all new cases of invasive breast carcinoma. IHC is easier to perform, but analysis can be subjective and variable. FISH offers better diagnostic accuracy and added confidence, particularly when it is used to supplement weak IHC signals, but it is more labor intensive and costly than IHC. We examined the performance of droplet digital PCR (ddPCR) as a more precise and less subjective alternative for quantifying HER2 DNA amplification. Thirty-nine cases of invasive breast carcinoma containing ≥30% tumor were classified as positive or negative for HER2 by IHC, FISH, or both. DNA templates for these cases were prepared from formalin-fixed paraffin-embedded (FFPE) tissues to determine the HER2 copy number by ddPCR. ddPCR involved emulsifying hydrolysis probe-based PCR reaction mixtures containing the ERBB2 [v-erb-b2 erythroblastic leukemia viral oncogene homolog 2, neuro/glioblastoma derived oncogene homolog (avian); also known as HER2] gene and chromosome 17 centromere assays into nanoliter-sized droplets for thermal cycling and analysis. ddPCR distinguished, through differences in the level of HER2 amplification, the 10 HER2-positive samples from the 29 HER2-negative samples with 100% concordance to HER2 status obtained by FISH and IHC analysis. ddPCR results agreed with the FISH results for the 6 cases that were equivocal by IHC analyses, confirming 2 of these samples as positive for HER2 and the other 4 as negative. ddPCR can be used as a molecular-analysis tool to precisely measure copy number alterations in FFPE samples of heterogeneous breast tumor tissue.

Abstract 5225: Single-cell gene-expression programs and basal-like breast cancer.

Abstract Basal-like carcinoma is a subtype of breast cancer that is characterized by poor prognosis and high intratumor heterogeneity. In basal-like breast epithelia, we have identified two anticorrelated gene-expression programs that arise among single extracellular matrix (ECM)-attached cells during organotypic 3D culture. The first program contains multiple TGFβ-related genes including TGFBR3, and its heterogeneous induction is critical to suppress ductal branching. The second program contains JUND together with the basal-like marker, KRT5. Homogenizing JUND expression in single cells leads to 3D acini with bridged lumina that are similar to cribiform ductal carcinoma in situ. TGFBR3 and JUND together comprise a circuit that is interconnected via four negative-feedback loops. Computational modeling of the circuit predicts damped, antiphase oscillations upon stimulation with endogenous impulses of TGFβ-like ligand, and we directly observe these spontaneous responses in 3D culture by live-cell imaging. The TGFBR3-JUND circuit is remarkably conserved in early basal-like tumors that heterogeneously express KRT5, suggesting that asynchronous circuit dynamics are active in this patient subset. We further show that the circuit is strongly dependent on ECM engagement, as detachment leads to a rewiring that is triggered by RPS6 dephosphorylation and maintained by juxtacrine signaling from tenascin C. Breast tumor heterogeneity need not stem from partial basal-like differentiation and could instead reflect dynamic toggling of individual cells between expression states. Citation Format: Chun-Chao Wang, Leen Jamal, Sameer S. Bajikar, Kristen A. Atkins, Kevin A. Janes. Single-cell gene-expression programs and basal-like breast cancer. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 5225. doi:10.1158/1538-7445.AM2013-5225

Advanced Signal Processing Methods for Biomedical Imaging

Advanced Signal Processing Methods for Biomedical Imaging

Does Breast Tumor Heterogeneity Necessitate Further Immunohistochemical Staining on Surgical Specimens?

Prognostic and predictive tumor markers in breast cancer are most commonly performed on core needle biopsies (CNB) of the primary tumor. Because treatment recommendations are influenced by these markers, it is imperative to verify strong concordance between tumor markers on CNB specimens and the corresponding surgical specimens (SS). A prospective study was performed on 165 women (205 samples) with breast cancer diagnosed from January 2009 to July 2011. Tumor type, grade, estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor 2 (HER2), and Ki67 expression by immunohistochemical (IHC) testing were retrospectively analyzed in the CNB and SS. Contingency tables and agreement modeling were performed. There was substantial agreement between the CNB and SS for PR% and HER2; moderate agreement for tumor type, grade, and ER%; and fair agreement for Ki67%. In 8% of patients (n = 13), tumor heterogeneity was seen. In heterogeneous tumors the overall concordance between the CNB and SS was worse, especially for HER2. Six of these patients had areas of tumor that were positive for HER2, which were not detected in their CNBs. Nine patients had multiple distinct molecular subtypes within their tumor(s). The heterogeneous distribution of antigens in breast cancer tumors raises concern that the CNB may not adequately represent the true biologic profile in all patients. There is strong concordance for tumor type, ER, and PR between CNB and SS (although a quantitative decline was noted from CNB to SS); however, HER2 activity does not appear to be adequately detected on CNB in patients with heterogeneous tumors. These data suggest that IHC testing on the CNB alone may not be adequate to tailor targeted therapy in all patients.

Quantitative Image Analysis of Cellular Heterogeneity in Breast Tumors Complements Genomic Profiling

Solid tumors are heterogeneous tissues composed of a mixture of cancer and normal cells, which complicates the interpretation of their molecular profiles. Furthermore, tissue architecture is generally not reflected in molecular assays, rendering this rich information underused. To address these challenges, we developed a computational approach based on standard hematoxylin and eosin-stained tissue sections and demonstrated its power in a discovery and validation cohort of 323 and 241 breast tumors, respectively. To deconvolute cellular heterogeneity and detect subtle genomic aberrations, we introduced an algorithm based on tumor cellularity to increase the comparability of copy number profiles between samples. We next devised a predictor for survival in estrogen receptor-negative breast cancer that integrated both image-based and gene expression analyses and significantly outperformed classifiers that use single data types, such as microarray expression signatures. Image processing also allowed us to describe and validate an independent prognostic factor based on quantitative analysis of spatial patterns between stromal cells, which are not detectable by molecular assays. Our quantitative, image-based method could benefit any large-scale cancer study by refining and complementing molecular assays of tumor samples.

Management of Unusual Histological Types of Breast Cancer

There is increased understanding of the heterogeneity of breast tumors, with greater emphasis now being placed on histological and molecular profiles and, in particular, their implications for prognosis and therapy. This review addresses breast cancers of unusual histological subtype with an approximate incidence ≤1%. Given the rarity of these tumors, the literature contains primarily case reports, small series, and population-based studies. Data are heterogeneous and almost entirely retrospective, frequently gathered over long time periods, in the context of changing pathological techniques and reporting. In addition, our understanding of the disease biology and therapeutic context has also evolved significantly over this time. There is often limited information about the specific therapies used and the rationale for choosing such an approach. Meaningful comparisons of treatment modalities are not feasible and it is not possible to define management guidelines. Instead, this review correlates the available information to give an impression of how each subgroup behaves-of the favored surgical technique, responses to therapy, and prognosis-as well as the emerging molecular data, highlighting new research areas for potential target in clinical trials. Each tumor subtype described represents a small but real cohort of patients with breast cancer, and although inferences may be made from this review, we are mindful of the paucity of data. The management of each patient must be considered in the context of their unique clinical presentation and correlated with the evidence-based principles that apply to more common breast cancer histologies.

619 Deciphering Non-BRCA1/2 Familial Breast Tumor Heterogeneity by MiRNA Expression Profiling

619 Deciphering Non-BRCA1/2 Familial Breast Tumor Heterogeneity by MiRNA Expression Profiling

Breast cancer stem cells, pathways and therapeutic perspectives 2011.

The evidence for the existence of a heterogeneous population of cancer stem cells (CSCs) responsible for the initiation and maintenance of cancer has been characterized for several tumors recently. Purification and molecular characterization of normal human mammary stem cells from cultured mammospheres has been achieved, providing evidence supporting a model in which breast tumor heterogeneity is a reflection of a number of CSC-like cells in the tumor. A number of experimental methodologies have been developed to characterize epithelial stem cells, including the expression of cell surface or intracellular markers, mammosphere formation, exclusion of fluorescent dye by a side population, retention of the radionucleotide label, etc. Methodologies have also been successfully employed to identify tumorigenic cells within breast cancers. The most important characteristics of stem cells are the capacity for self-renewal and the regulation of the balance between self-renewal and differentiation. In the mammary gland, signaling pathways, such as Hedgehog (Hh), Wnt/β-catenin, and Notch, play a role in embryogenesis and organogenesis and maintenance of tissues in the adult through regulation of the balance between self-renewal and differentiation of stem cells. Breast TAAs include epitopes from proteins, such as carcinoembryonic antigen and NYBR-1, which are involved in tissue differentiation. Targeting BCSCs may be achieved by a number of approaches such as chemotherapy sensitization of BCSCs, differentiating therapy, targeting stem cell elimination, targeting signaling pathways and drug transporters, and inhibition of regulatory pathways involved in self-renewal. Targeting cells which have the potential to metastasize will be an important aspect of the BCSC field as these are the cells that cause the majority of morbidity and mortality from breast cancer.

Abstract 4949: A dynamic TGFBR3-JUND expression circuit in single basal-like breast epithelial cells

Abstract Basal-like carcinoma is a subtype of breast cancer that is characterized by poor prognosis and high intratumor heterogeneity. In basal-like breast epithelia, we have identified two anticorrelated gene-expression programs that arise among single extracellular matrix (ECM)-attached cells during organotypic 3D culture. The first program contains multiple TGFβ-related genes including TGFBR3, and its heterogeneous induction is critical to suppress ductal branching. The second program contains JUND together with the basal-like marker, KRT5. Homogenizing JUND expression in single cells leads to 3D acini with bridged lumina that are similar to cribiform ductal carcinoma in situ. TGFBR3 and JUND together comprise a circuit that is interconnected via four negative-feedback loops. Computational modeling of the circuit predicts damped, antiphase oscillations upon stimulation with endogenous impulses of TGFβ-like ligand, and we directly observe these spontaneous responses in 3D culture by live-cell imaging. The TGFBR3-JUND circuit and its ECM-dependent regulation are remarkably conserved in early basal-like tumors that heterogeneously express KRT5, suggesting that asynchronous circuit dynamics are active in this patient subset. Preliminary studies suggested this intrinsic single-cell expression circuit might be regulated by a transcription factor, Nrf2, and a tumor suppressor, menin. Together, breast tumor heterogeneity need not stem from partial basal-like differentiation and could instead reflect dynamic toggling of individual cells between expression states. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 4949. doi:1538-7445.AM2012-4949

"A novel in vivo model for the study of human breast cancer metastasis using primary breast tumor-initiating cells from patient biopsies"

BackgroundThe study of breast cancer metastasis depends on the use of established breast cancer cell lines that do not accurately represent the heterogeneity and complexity of human breast tumors. A tumor model was developed using primary breast tumor-initiating cells isolated from patient core biopsies that would more accurately reflect human breast cancer metastasis.MethodsTumorspheres were isolated under serum-free culture conditions from core biopsies collected from five patients with clinical diagnosis of invasive ductal carcinoma (IDC). Isolated tumorspheres were transplanted into the mammary fat pad of NUDE mice to establish tumorigenicity in vivo. Tumors and metastatic lesions were analyzed by hematoxylin and eosin (H+E) staining and immunohistochemistry (IHC).ResultsTumorspheres were successfully isolated from all patient core biopsies, independent of the estrogen receptor α (ERα)/progesterone receptor (PR)/Her2/neu status or tumor grade. Each tumorsphere was estimated to contain 50-100 cells. Transplantation of 50 tumorspheres (1-5 × 103 cells) in combination with Matrigel into the mammary fat pad of NUDE mice resulted in small, palpable tumors that were sustained up to 12 months post-injection. Tumors were serially transplanted three times by re-isolation of tumorspheres from the tumors and injection into the mammary fat pad of NUDE mice. At 3 months post-injection, micrometastases to the lung, liver, kidneys, brain and femur were detected by measuring content of human chromosome 17. Visible macrometastases were detected in the lung, liver and kidneys by 6 months post-injection. Primary tumors variably expressed cytokeratins, Her2/neu, cytoplasmic E-cadherin, nuclear β catenin and fibronectin but were negative for ERα and vimentin. In lung and liver metastases, variable redistribution of E-cadherin and β catenin to the membrane of tumor cells was observed. ERα was re-expressed in lung metastatic cells in two of five samples.ConclusionsTumorspheres isolated under defined culture conditions from patient core biopsies were tumorigenic when transplanted into the mammary fat pad of NUDE mice, and metastasized to multiple mouse organs. Micrometastases in mouse organs demonstrated a dormancy period prior to outgrowth of macrometastases. The development of macrometastases with organ-specific phenotypic distinctions provides a superior model for the investigation of organ-specific effects on metastatic cancer cell survival and growth.

Unravelling the epigenomic dimension of breast cancers

Breast cancer remains the first cause of cancer-related mortality in women. This can be explained by the high histological and molecular heterogeneity of the disease, making it hard to choose a therapy adapted to each patient. Over this last year, several groups have evaluated the epigenetic component of breast cancer, as epigenetics appears to be important in carcinogenesis. Results suggest that assessing the epigenetic aspects of breast tumours could strongly improve our understanding of the biology and heterogeneity of breast cancers. The heterogeneity of breast tumours described at the histological and transcriptional levels exists also at the epigenetic level. DNA methylation profiles both confirm previous observations based on histological and transcriptomic analyses and add new levels of complexity to the picture. Several methylation signatures have been evidenced, that can stratify patients in terms of prognosis. DNA methylation profiles could also be a marker of lineage restriction, reflecting the cell type from which a tumour originates. While focusing mainly on gene promoters and CpG islands, the genome-scale DNA methylation profiling studies, conducted last year, highlighted the need to evaluate the epigenetic component in order to gain better knowledge of breast cancer biology, thereby, to improve patient management. Clearly, however, the epigenomic exploration of breast cancers has only just begun, recent studies having revealed the importance of DNA methylation in regions such as gene bodies and intergenic regions that still need to be explored.

Three-dimensional Proton MR Spectroscopic Imaging at 3 T for the Differentiation of Benign and Malignant Breast Lesions

To evaluate the diagnostic accuracy of quantitative, three-dimensional (3D) magnetic resonance (MR) spectroscopic imaging at 3 T for the differentiation of benign and malignant breast lesions, on the basis of choline (Cho) signal-to-noise ratio (SNR) threshold levels, in a clinically feasible measurement time. Institutional review board approval and written informed consent were obtained from all subjects. Fifty female patients (mean age, 50 years; age range, 25-82 years) with mammographic or ultrasonographic (US) abnormalities were successfully examined in the prone position with a 3-T MR system by using a dedicated breast coil. Lesions were verified by either histopathologic examination or follow-up of at least 24 months. For 3D MR spectroscopic imaging, a point-resolved spectroscopic sequence (repetition time msec/echo time msec, 750/145; field of view, 12 × 12 × 12 cm(3); matrix size, 12 × 12 × 12, interpolated to 16 × 16 × 16; acquisition time, 11 minutes 17 seconds) was used. The maximum Cho SNR was assessed in all lesions and correlated with the histopathologic results. Thirty-two malignant and 12 benign lesions were confirmed in 43 patients with histopathologic examination. Seven patients without biopsy underwent imaging follow-up. In 31 of 32 (97%) malignant and 10 of 19 (53%) benign lesions, Cho was detected. The median Cho SNR in malignant lesions was 5.7, compared with 2.0 in benign lesions. With a Cho SNR threshold level of 2.6, 3D MR spectroscopic imaging provided a sensitivity of 97% and a specificity of 84% for the differentiation of benign and malignant breast lesions. At 3T, 3D MR spectroscopic imaging yields high diagnostic sensitivity and specificity for discrimination of benign and malignant breast lesions within reasonable measurement times. This technique allows the study of heterogeneous and multicentric breast tumors and simplifies acquisition planning.

Heterogeneity in breast cancer

Breast cancer is a heterogeneous disease. There is a high degree of diversity between and within tumors as well as among cancer-bearing individuals, and all of these factors together determine the risk of disease progression and therapeutic resistance. Advances in technologies such as whole-genome sequencing and functional viability screens now allow us to analyze tumors at unprecedented depths. However, translating this increasing knowledge into clinical practice remains a challenge in part due to tumor evolution driven by the diversity of cancer cell populations and their microenvironment. The articles in this Review series discuss recent advances in our understanding of breast tumor heterogeneity, therapies tailored based on this knowledge, and future ways of assessing and treating heterogeneous tumors.

Sensitization of BCL-2–expressing breast tumors to chemotherapy by the BH3 mimetic ABT-737

Overexpression of the prosurvival protein BCL-2 is common in breast cancer. Here we have explored its role as a potential therapeutic target in this disease. BCL-2, its anti-apoptotic relatives MCL-1 and BCL-XL, and the proapoptotic BH3-only ligand BIM were found to be coexpressed at relatively high levels in a substantial proportion of heterogeneous breast tumors, including clinically aggressive basal-like cancers. To determine whether the BH3 mimetic ABT-737 that neutralizes BCL-2, BCL-XL, and BCL-W had potential efficacy in targeting BCL-2-expressing basal-like triple-negative tumors, we generated a panel of primary breast tumor xenografts in immunocompromised mice and treated recipients with either ABT-737, docetaxel, or a combination. Tumor response and overall survival were significantly improved by combination therapy, but only for tumor xenografts that expressed elevated levels of BCL-2. Treatment with ABT-737 alone was ineffective, suggesting that ABT-737 sensitizes the tumor cells to docetaxel. Combination therapy was accompanied by a marked increase in apoptosis and dissociation of BIM from BCL-2. Notably, BH3 mimetics also appeared effective in BCL-2-expressing xenograft lines that harbored p53 mutations. Our findings provide in vivo evidence that BH3 mimetics can be used to sensitize primary breast tumors to chemotherapy and further suggest that elevated BCL-2 expression constitutes a predictive response marker in breast cancer.

Isolation and Characterization of a Metastatic Hybrid Cell Line Generated by ER Negative and ER Positive Breast Cancer Cells in Mouse Bone Marrow

BackgroundThe origin and the contribution of breast tumor heterogeneity to its progression are not clear. We investigated the effect of a growing orthotopic tumor formed by an aggressive estrogen receptor (ER)-negative breast cancer cell line on the metastatic potential of a less aggressive ER-positive breast cancer cell line for the elucidation of how the presence of heterogeneous cancer cells might affect each other's metastatic behavior.MethodsER positive ZR-75-1/GFP/puro cells, resistant to puromycin and non-tumorigenic/non-metastatic without exogenous estrogen supplementation, were injected intracardiacally into mice bearing growing orthotopic tumors, formed by ER negative MDA-MB-231/GFP/Neo cells resistant to G418. A variant cell line B6, containing both estrogen-dependent and -independent cells, were isolated from GFP expressing cells in the bone marrow and re-inoculated in nude mice to generate an estrogen-independent cell line B6TC.ResultsThe presence of ER negative orthotopic tumors resulted in bone metastasis of ZR-75-1 without estrogen supplementation. The newly established B6TC cell line was tumorigenic without estrogen supplementation and resistant to both puromycin and G418 suggesting its origin from the fusion of MDA-MB-231/GFP/Neo and ZR-75-1/GFP/puro in the mouse bone marrow. Compared to parental cells, B6TC cells were more metastatic to lung and bone after intracardiac inoculation. More significantly, B6TC mice also developed brain metastasis, which was not observed in the MDA-MB-231/GFP/Neo cell-inoculated mice. Low expression of ERα and CD24, and high expression of EMT-related markers such as Vimentin, CXCR4, and Integrin-β1 along with high CD44 and ALDH expression indicated stem cell-like characteristics of B6TC. Gene microarray analysis demonstrated a significantly different gene expression profile of B6TC in comparison to those of parental cell lines.ConclusionsSpontaneous generation of the novel hybrid cell line B6TC, in a metastatic site with stem cell-like properties and propensity to metastasize to brain, suggest that cell fusion can contribute to tumor heterogeneity.

Simultaneous measurement of ERα, HER2, and PhosphoERK1/2 in breast cancer cell lines by flow cytometry

The activation of human epidermal growth factor receptor-2 (HER2) results in the activation of the mitogen-activated protein kinase (MAPK) cascade that may lead to the resistance to anti-estrogen therapy in estrogen receptor (ERα) expressing breast cancer by means of phosphorylation of ERα in the N-terminal region by phosphorylated extracellular signal-regulated kinase 1/2 (pERK1/2) and by means of decreasing ERα expression. Immunohistochemistry is the most widely used technique for the detection of ERα and HER2 in breast cancer specimens, however, is inadequate in its ability to assess the relationship between ERα, HER2, and MAPK cascade at the single cell level. To clear this major hurdle, we devised a novel flow cytometric method to quantify the expression of ERα, HER2, and the activation of MAPK cascade simultaneously in single cells. The method was validated by concurrent Western blotting in established cell lines: MDA-231 (ERα and HER2-negative), MCF-7 (ERα-positive, HER2-negative), MCF-7 cells overexpressing ERα after long-term incubation in estrogen-free medium, and HER2 transfected MCF7 cells. Using the flow cytometry method, we confirmed the previous finding that ERα expression is down-regulated upon epidermal growth factor mediated ERK1/2 phosphorylation in EGFR/MCF-7 cells. To our knowledge, this is the first such assay to incorporate simultaneous single cell measurement for all of these pathways, which may prove useful to determine the intratumoral heterogeneity in breast tumors or the receptor status in circulating tumor cells.