[The study of atmospheric particulate matters and IFN-γDNA methylation in CD4⁺ T cells from patients with AR children]

Objective:To investigate the possible effects of meteorological and environmental factors on AR of children and IFN-γgene specific DNA methylation levels in CD4⁺ T cells of patients with AR. Method:Undergoing follow-up on 35 pediatric AR patients (6-12 years). Data on daily sulfur dioxide (SO₂), nitrogen dioxide (NO₂), particulate matter of diameter smaller than 10 micrometer (PM-10) and particulate matter of diameter smaller than 2.5 micrometer (PM2.5), the average of ozone (O₃) per 8 hours was available as average values derived from the data of 6 state controlled monitoring stations distributed across Pudong district, Shanghai. We quantified IFN-γ (interferon-γ) gene specific DNA methylation levels in CD4⁺ T cells from 35 patients with AR and 30 healthy controls. mRNA levels of IFN-γ gene were measured by real-time reverse transcriptase-PCR. Methods of personal exposure assessment of PM2.5 and PM10 were measured. Result:Compared with control, IFN-γ promoter region was hypermethylated in AR CD4⁺ T cells (P<0.05). Of all observed CpG sites in IFN-γ promoter region, there were significant differences in CpG⁻²⁹⁹, CpG⁺¹¹⁹, CpG⁺¹⁶⁸ (P=0.004, P=0.029, P=0.035). IFN-γ mRNA expression was significantly increase in CD4⁺ T cells (P<0.05). The level of IFN-γ mRNA expression was negatively correlated to mean level of methylation in IFN-γ promoter region. After adjusting, level of long exposure PM2.5 was positively correlated with level of methylation in IFN-γ promoter region. Conclusion:Level of methylation in IFN-γ promoter region may be affected by long exposure PM2.5.

Abstract P6-18-01: Novel genetic susceptibility loci for inflammatory breast cancer identified by whole exome sequencing

Background: Inflammatory breast cancer (IBC) is an extremely aggressive form of locally advanced breast cancer that affects approximately 5% of breast cancer patients. The prognosis of IBC patients is remarkably poor, with a three-year survival rate of approximately 30% compared to 60% for non-IBC breast cancer patients. The etiology of IBC is largely unknown. A few risk factors have been reported such as body mass index (BMI) and educational level. Prior evidence has also implicated genetic components in IBC etiology. For instance, the reported familial cases and racial incidence disparity of IBC patients, as well as the fact IBC patients typically have a younger age onset than non-IBC patients, all indicated the possible involvement of genetic factors. Nevertheless, as yet no genetic epidemiological study has been reported to evaluate IBC genetic predisposition.

Methods: To test the hypothesis that genetic variants and mutations may affect IBC susceptibility, we performed whole exome sequencing in a pilot case-control study that contained 70 IBC cases and 119 unrelated cancer-free controls. Sequencing data were de-multiplexed, filtered, assessed for various quality control metrics, mapped to reference genome and annotated. Comprehensive single variant-based, gene-centered, and pathway-based analyses were conducted to identify variants, genes, and pathways that may be involved in IBC predisposition.

Results: We obtained &gt; 50x on-target sequencing coverage of the whole exome in &gt; 90% of the patients. In single variant analysis, we identified six variants reaching genome-wide significance. Four variants were encoded by genes that have been implicated in breast cancer development including MALAT1, MAP3K9, POLR3B, and FIP1L1. Two variants were encoded by novel genes that have not been related to breast cancer, including CCDC30 and LINC01565. Two types of analyses based on a gene-centered strategy identified top genes such as SLC39A4, CDHR1, AP5Z1, GNB3, ITGA10, etc. However, possibly due to the limited sample size, none of these genes reached genome-wide significance. Ingenuity Pathway Analysis (IPA), using the complete list of significant genes identified by each of these analyses all reported "cancer" as the highest possible disorder associated with these genes, demonstrating the biological plausibility of our findings. Moreover, canonical pathways such as IL4 signaling, glycogen degradation, epithelial adherence junction signaling, and CCR3 signaling in eosinophils were among the top pathways that were found involved in IBC predisposition.

Conclusion: Overall, we provided novel preliminary evidence that genetic variants are potentially associated with the risk of developing IBC. We are currently conducting validation studies with larger sample sizes are warranted to confirm these findings and identify additional genetic susceptibility loci.

Citation Format: Ye Z, Li B, Wang C, Zhong X, Wei Q, Mu Z, Austin L, Jaslow R, Avery T, Palazzo J, Biederman L, Yang H, Cristofanilli M, IBC Inflammatory Breast Cancer International Consortium. Novel genetic susceptibility loci for inflammatory breast cancer identified by whole exome sequencing. [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 P6-18-01.

Abstract P2-08-09: Prognostic values of circulating tumor cell (CTC) enumeration and their clusters in advanced breast cancer

Background The enumeration of circulating tumor cells (CTCs) has been proven to have prognostic values in several solid tumors including breast cancer. It has been established that a cut-off of 5 CTCs in 7.5 ml of blood may significantly differentiate breast cancer patients with favorable and unfavorable survival. However, CTC enumeration has not been shown to further predict the prognosis in those patients with more than 5 CTCs in 7.5 ml of blood. There are several recent in vitro and in vivo studies suggesting that clusters of CTC can be identified in blood and those clusters may play an important role in tumor progression and metastasis. Few clinical studies have been reported to enumerate CTC clusters and evaluate their prognostic values. In the current study, we hypothesize that the enumeration of CTC clusters play an important role in the prognostication of advanced breast cancer patients by providing additional predictive performance independent of CTC enumeration.

Methods In an ongoing study of blood-based breast cancer biomarkers, we enrolled 114 patients with stages III and IV breast cancer. Among them, 68 patients had inflammatory breast cancer (IBC), an extremely aggressive form of breast cancer with a much lower survival rate than non-IBC breast cancer patients. The number of single CTCs and CTC clusters (two or more CTCs bound together) in 7.5 ml blood sample were counted using the CellSearch™ system (Janssen Diagnostic) at baseline study entry, and their associations with the progression-free survival (PFS) of patients were evaluated using Kaplan Meier curves and Cox proportional hazards modeling.

Results Baseline CTCs were detected in 67 (58.77%) patients. Thirty-five (30.70%) and 19 patients (16.67%) had elevated CTCs (≥5 CTCs/7.5 mL) and clusters, respectively. IBC patients had a slightly higher percentage of cluster (17.65%) compared to non-IBC patients (15.22%). Patients with elevated baseline CTC and cluster had worse PFS (log rank P, 0.0009 and 0.0035, respectively). Compared to patients with &lt; 5 CTC and without cluster, those patients with elevated CTC without cluster, and those with elevated CTC with cluster had an increasingly higher risk of disease progression with an hazard ratio [HR] of 1.93 (95% confidence interval [CI] 1.01-3.67) and 2.91 (1.54-5.50), respectively (P for trend = 0.001). Moreover, the combined analysis of baseline CTC and cluster enumerations showed similar effect when the analysis was restricted to IBC patients (HR 3.03, 95% CI 1.34-6.86).

Conclusion Baseline enumerations of both individual CTCs and CTC clusters predict PFS in advanced stage breast cancer patients. CTC clusters provide further prognostic value in patients with elevated CTC and their molecular characterizations may provide novel insights into the metastasis process.

Citation Format: Ye Z, Mu Z, Wang C, Palazzo JP, Biederman L, Li B, Jaslow R, Avery T, Austin L, Yang H, Cristofanilli M. Prognostic values of circulating tumor cell (CTC) enumeration and their clusters in advanced 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 P2-08-09.

Abstract P2-02-14: Detection and characterization of CTCs isolated by ScreenCell®-Filtration in metastatic breast cancer

Background: Circulating Tumor cells (CTCs) detection has prognostic and predictive implications in patients with metastatic breast cancer (MBC). Genomic and phenotypic analysis of CTCs hold enormous promise as blood-based molecular characterization and monitoring disease progression and treatment benefit with a strong potential to be translated into more individualized targeted treatments. FDA-approved CellSearch™ detection allows only enumeration of CTCs expressing EpCAM without molecular characterization. CTCs represent very heterogeneous populations of tumorigenic cancer cells and some subpopulations have undergone epithelial-Mesenchymal transition (EMT), which is associated metastasis process and an unfavourable outcome. EpCAM-based enrichment technique has failed to detect EMT subpopulations due to the decreased expression or loss of epithelial markers. Non-EpCAM-based approaches are needed for identifying EMT CTCs. The ScreenCell® devices are single-use and low-cost innovative devices that use a filter for enrichment-free isolation of CTCs by a two-steps combining size-based separation and staining using different markers. The DEPArray™ system is the ideal downstream isolation system to collect single or pooled CTCs for molecular and genetic analysis. In this study, we evaluated the feasibility of achieving CTCs detection/enumeration using ScreenCell® filtration followed by single cell isolation with the DEPArray™ in MBC patients.

Methods: The first part of the study consisted in evaluating CTCs detection/enumeration in 30 patients with stage III and stage IV breast cancer. 3 mL of whole blood in an EDTA or Transfix tubes was collected and processed on the ScreenCell® Cyto device following the instructions of the supplier. CTCs were stained with cytokeratin (CK-8, 18, and 19), leukocyte antigen (CD45), and a nuclear dye (DAPI) and counted under fluorescence microscope. CTCs were identified as positive staining for CK and DAPI and negative staining for CD45 (CK+/DAPI+CD45-). In the second part, After enrichment, CTCs were stained with CK, CD45, and DAPI and sorted with DEPArray™ Platform (Silicon Biosystems, Inc). Single CTCs were collected and the DNA of each single CTCs was amplified with Ampli1™ WGA kit, and the genome integrity index (GII) was assessed by Ampli1™ QC kit (Silicon Biosystems, Inc). Library was constructed and whole exome sequencing (WES) of DNA mutations was conducted.

Results: Twenty patient samples had CTCs detected (66.7%), the number of CTCs was 1 to 347 per 3.0 ml of whole blood. CTC-clusters were detected in 7 patient samples (23.3%). Single CTCs were collected on DEPArray™ platform after enrichment with ScreenCell filtration. GII was confirmed with the presence of short, medium, and long DNA fragments (3 to 4 PCR bands) in the WGA library by PCR-based assay. All collected CTCs showed high GII as measured by Ampli1™ QC kit (GII ≥ 3) for WES of DNA mutations. The data analysis of WES results is under processing.

Conclusions: ScreenCell® filtration is simple and effective devices to isolate CTCs and identify CTC-clusters. Isolation of single cells for molecular analysis using the combination of ScreenCell® filtration and DEPArray™ Platform is feasible for genetic characterization of CTCs.

Citation Format: Mu Z, Benali-Furet N, Uzan G, Ye Z, Austin L, Wang C, Nguyen1 T, Avery T, Jaslow R, Yang H, Cristofanilli M. Detection and characterization of CTCs isolated by ScreenCell®-Filtration in metastatic 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 P2-02-14.

Abstract P2-02-11: Detection of activating estrogen receptor 1 (ESR1) mutation on single circulating tumor cells from metastatic breast cancer patients

Background: 65% of primary breast cancers express the estrogen receptor α (ERα) and the mainstay of treatment are therapies that result in selective estrogen receptor modulation (SERM) of estrogen deprivation (aromatase inhibitors, AIs). Even thought endocrine therapy resulted in reduced recurrence and mortality, a significant portion of patients relapse with a metastatic disease and subsequently progress while of therapy for advanced disease (endocrine resistance). Recent evidence showed that activating hot spot mutation in the ligand binding domain of the ERα are acquired on treatment (frequency of 20%) and can drive resistance to endocrine therapy. Circulating tumor cells (CTCs) provide a non-invasive accessible source of tumor material and the molecular profiling of these rare cells might lead to insight on disease progression and therapeutic strategies. These features suggest that the detection of ESR1 mutation on single CTC may be a useful biomarker for therapy guidance.

Purpose: Investigate the incidence and heterogeneity of ESR1 mutational status within single CTCs isolated from individual metastatic breast cancer patients (mBCs), combining the FDA approved CellSearch® system for enumeration of CTCs with the DEPArrayTM technologies.

Methods: CTCs were enriched and enumerate by CellSearch® in 7.5 ml blood samples collected from 21 mBCs according to standard protocol. Each CTC-enriched sample with at least 20 CTCs was recovered from Veridex cartridge and loaded into the DEPArrayTM A300K chip, since the DEPArrayTM analyzed only the 66% of the sample volume loaded, according to the manufacturer's instructions. The chip scanning was performed by automated fluorescence microscope. The loaded cells were recovered as single cell and subdivided in tree different group: Cytokeratin (CK) positive ( Dapi+, CK+, ER-, CD45-); ER positive (Dapi+, ER+, CK+, CD45-); White Blood cells (WBCs) (Dapi+, CD45+, CK-, ER-). Single CTCs and WBCs were then submitted to whole genome amplification (WGA) using the Single Cell WGA kit (Yikon Genomics) according the manufacturer's instructions. Detection of target 14 ESR1 hot spot mutations was performed on ABI PRISM® 3700 genetic analyzer by target Sanger sequencing.

Results: 3 out of 21 mBCs with ≥20 CTCs were sorted and a total of 65 cells were recovered. WGA and ESR1 mutational status were performed on a total of 25 cells (respectively 11 ER+, 6 CK+ and 8 WBCs). In 1 of the 3 patients, that failed 2 lines of chemotherapy and previous single agent endocrine therapy, molecular heterogeneity was detected among its ER+ cells. 4 of 5 ER+ cells were heterozygote for the Y537S while one cell was homozygous, maybe due to a loss of heterozygosity. Y537S is one of the most common mutations that leads to a ligand independent ER transcriptional activity that does not respond to endocrine manipulation. No mutations were reported in all the CK+ and WBC cells analyzed.

Conclusions: This study demonstrates the feasibility of a non-invasive approach based on liquid biopsy in mBCs. Evaluation of ER status and early identification of ESR1 mutation in ER+ CTCs might allow to predict effect of the endocrine therapies and switching to other treatments before the emergence of metastatic disease.

Citation Format: Paolillo C, Mu Z, Austin L, Nguyen T, Capoluongo E, Fortina P, Cristofanilli M. Detection of activating estrogen receptor 1 (ESR1) mutation on single circulating tumor cells from metastatic breast cancer patients. [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 P2-02-11.

Determination of the potential illegal addition of β-blockers to function foods by QuEChERS sample preparation and UPLC-MS/MS analysis

A novel method was established for the determination of 11 β-blockers in sedative functional foods using QuEchERS sample preparation coupled with UPLC-MS/MS. The analytes were extracted twice with acetic acid-acetonitrile-methanol (0.1:3:7, v/v/v), and the extracts were purified with mixed QuEchERS adsorbents. Separation was performed on a C18 column, and detection using electrospray ionisation in positive-ion mode. The linear range for the 11 analytes was from 1 to 500 μg l(-1), and the correlation coefficients were above 0.9990. The limits of detection and quantification were 0.02-0.16 and 0.07-0.54 μg kg(-1), respectively. The average recovery for 11 analytes at the three spiking levels varied from 71.8% to 121.9%, and the relative standard deviation was 2.4-12.6%. The method was applied to the analysis of β-blockers in 22 real samples, but none of the analytes was detected. The proposed method is sensitive, efficient, reliable and applicable to real samples.

Simultaneous determination of 30 hormones illegally added to anti-ageing functional foods using UPLC-MS/MS coupled with SPE clean-up

A novel analytical method employing solid-phase extraction (SPE) coupled with ultra-high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was developed for the simultaneous determination of 30 hormones in anti-ageing functional foods (capsules, powders and tablets). The analytes were extracted with acetic acid-acetonitrile (1-99 v/v), methanol and acetone, respectively. The extract was purified using a combined column, followed by analyte detection with electrospray ionisation in positive- or negative-ion modes. The results indicated that the 30 compounds had good linear correlations in the range of 1-1000 μg kg⁻¹, and the correlation coefficients were above 0.99. The limits of detection (LOD) and limits of quantification (LOQ) were 0.03-2 and 0.1-5 μg kg⁻¹, respectively. The average recovery of 30 compounds at the three spiked levels varied from 74.7% to 124.1%, and the relative standard deviation (RSD) was 2.4-15.0%. This method was applied to the analysis of hormones in 14 real samples of which seven hormones (such as estrone, dienestrol) were detected in four samples, but the remainder of the hormones were not detected. The developed method is sensitive, efficient, reliable and applicable to real samples.

Effects of tetra-arsenic tetra-sulfide on BXSB lupus-prone mice: a pilot study

Systemic lupus erythematosus (SLE) is an autoimmune disease of uncertain etiology that affects multiple tissues and organs. Arsenic trioxide (ATO) has been used in lupus-prone mice with a regulatory effect on immune abnormality. Tetra-arsenic tetra-sulfide (As4S4), a traditional Chinese medicine, is effective on acute promyelocytic leukemia with mild side effects than ATO. In this study, a pilot study was performed to investigate the effects and the mechanism of As4S4 on the lupus-prone BXSB mice. Improvement of monocytosis (p<0.05) in spleen and decreased serum interleukin-6 (IL-6) (p=0.0277) were observed with As4S4 treatment. As4S4-treated mice exhibited amelioration of skin, liver and renal disease with mild side effects. Histological analysis revealed that As4S4 suppressed immune complex deposition, mesangial proliferation and inflammatory cell infiltration in kidney and liver. Our study support that As4S4 selectively suppresses cutaneous lupus and nephritis in BXSB mice and might be a potential treatment for SLE.

Abstract P3-01-05: Metabolomic analysis of breast cancer cell lines: Clues to the metabolic fingerprint of inflammatory breast cancer

BACKGROUND: Inflammatory breast cancer (IBC) is an aggressive type of advanced breast cancer with a poor prognosis and lower survival rate. IBC is characterized by peculiar clinical and biological features and resistance to standard treatments. IBC has shown the capacity to spread early through lymphatic channels and blood vessels causing the specific inflammatory signs. Currently, there are no specific therapeutic options for IBC patients because of very few molecular alterations associated with IBC. Thus, there is an unmet need to identify distinguished features of IBC that differentiate the disease from non-inflammatory breast cancer (nIBC). Metabolomic analysis of cancer cells holds the promise to identify unique chemical fingerprints of important cellular processes. In this study we investigated the global biochemical profiles of IBC and nIBC cells.

METHODS: Three IBC cell lines, SUM190, SUM149, FC-IBC-02, and three nIBC cell lines, MCF-7, MDA-MB-231, MDA-MB-468, with five replicates for each cell line, were analyzed in this study. Metabolomic profiling analysis was performed by Metabolon, Inc (Durham, NC) on the gas chromatography/mass spectroscopy and ultrahigh performance liquid chromatography/mass spectroscopy platforms as previously described (Proc. Natl. Acad. Sci. U. S. A. 108, 3270-3275, 2011). A total of 347 metabolites were detected. Welch's two-sample t-test was used to identify biochemicals that differed significantly between experimental groups (p≤0.001), as well as those approaching significance (0.001&lt;p&lt;0.05).

RESULTS: Comparison of global biochemical profiles for IBC and nIBC cell lines revealed numerous statistically changed metabolites at a p-value threshold of p&lt;0.001. Statistical comparisons also revealed a clear metabolic separation of samples due to cell line differences. Several biochemical pathways emerged as being commonly altered across all IBC cell lines compared to all nIBC cell lines. Notable observations include alterations in inflammatory signaling, energy metabolism, and cell proliferation. Signatures of inflammation were elevated and inflammatory signaling pathways showed activation in IBC cell lines. In energy metabolism, the cellular energy for IBC cells appeared to be derived from amino acid catabolism to a greater extent than in nIBC cells. Furthermore, fatty acids was significantly elevated in IBC cell lines, that may indicate a reduced cellular proliferation and increased glycogen storage in IBC cells. Moreover, an altered methylation and glutathione metabolism were shown in IBC cell lines.

CONCLUSIONS: Our study is the first to demonstrate difference of metabolic profiles between IBC and nIBC cells. Future studies comparing global biochemical profiles in tissue biopsy and blood from IBC and nIBC patients may help to confirm the relevance of these findings in cell lines. Metabolic targets may provide more effective and specific therapeutic strategy for the treatment of IBC patients.

Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P3-01-05.

Abstract P6-02-05: A novel culturing 3-D model to evaluate the role of tumor microenvironment in IBC

Introduction: Inflammatory breast cancer (IBC) is a highly aggressive form of breast cancer associated with extremely poor outcomes. The clinical and pathological characteristics of the disease are the peculiar invasion of the dermal lymphatics as tumor emboli and the development of early recurrences. We aimed to establish a 3D model to evaluate the role of tumor microenvironment.

Methods: We used human tumor-associated fibroblasts (or fibroblasts derived from metastatic skin) from IBC patients to build a multilayer extracellular matrix structure which effectively mimics aspects of the mesenchymal microenvironment of IBCs. Using this in vivo-like microenvironment we proceeded to test both matrix effects upon IBC's phenotypes and IBC modifications upon the cell-derived 3D matrices.

We seeded the IBC cells into the matrix and cultured for 3 days, then tested the characterization markers cancer cells and ECM e.g. Phalloidin, E-cadherin, Ki67, α5β1 integrin and fibronectin by immunofluorescence and the expression of E-cadherin and vimentin as marker of epithelial-mesenchymal transition (EMT) by western blot.

Results: We divided six IBC cell lines into 2 groups depending on the phenotypes acquired when cultured in the IBC fibroblast-derived ECM. SUM149 (EGF receptor positive and aggressive phenotype), BR016 and LG018 (harvested from patient's pleural effusions) presented a single cell organization with a spindle-like or mesenchymal type (as opposed to cluster) morphology. In comparison, SUM190 (HER2 positive and non aggressive tumorigenesis), MDA-IBC-3 and FC-IBC-02 (abstracted from patient's pleural effusion) presented a phenotype resembling mammospheres or in vivo emboli. Moreover, this last group of cells showed a peculiar capability for ECM modifications which greatly differed from the ECM modifications that were apparent following 3 day culturing of the above mentioned group represented by SUM149. In addition, proliferation measurements by Ki67 expression demonstrated a significant increased in 3D culture for SUM149, BR016 and LG018 compared with that in 2D culture, while no differences in proliferation were observed in the other three cell lines. Moreover, the expression of E-cadherin known to be upregulated in IBC tumors was increased in all cancer cells when seeded into the human fibroblast-derived 3D matrix indicating a potential role of the microenvironment in promoting proliferation, growth and invasion.

Conclusion: The present study demonstrated the establishment of a novel IBC stromal 3D model using extracellular matrix produced from human fibroblasts of patients with advanced IBC. We showed a dynamic interaction between cancer cells and the microenvironment and potential sorting of IBC cells into two discrete groups which also correlate with their aggressive behaviors in vivo. We believe that these system may serve to predict levels of IBC tumorigenesis. We will proceed to further study the two identified responsive phenotypes with the goal of uncovering mechanisms of IBC tumor-stromal interactions and better understand ECM influences upon IBC development and progression. The ultimate goal will be to use the system to study IBC biology and better design drugs that will specifically affect the newly identified phenotypes.

Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr P6-02-05.

P4-03-06: Development and Comparative Characterization of Metastasis in Newly Developed Pre-Clinical Models of Inflammatory Breast Cancer

Background: Inflammatory breast cancer (IBC) is the most metastatic variant of breast cancer. It is associated with a poor survival rate (40% 5-year survival) despite appropriate multidisciplinary care. For such an aggressive type of cancer, IBC has been understudied, in part due to the lack of adequate numbers of cell lines and mouse models that recapitulate the human disease. To expand our understanding of IBC, we have obtained all of the previously developed and characterized IBC cell lines and models including Mary-X, SUM149, SUM190, KPL-4, MDA-IBC-3 and have developed two new IBC models, designated as FC-IBC01 and FC-IBC02, using tumor cells derived from pleural effusion of IBC patients.

Materials and Methods: Each of these IBC cell lines has been luciferase (LUC)-tagged, allowing the growth of orthotopic injection or subcutaneous implantation to be evaluated by bioluminescent imaging (BLI). Alternatively, the LUC-tagged IBC cells can by injected via either intra-cardiac or intravenous route of delivery, which promotes rapid tumor colonization, resulting in both visceral and skeletal metastasis. Growth of IBC tumors can then be monitored immediately using BLI, thus eliminating the lag time needed for the physical detection of palpable tumors. BLI imaging also allows for monitoring of the kinetics and location of development of metastatic lesions. Whole transcriptome analysis was performed on IBC cell lines and xenograft tissues to define the heterogeneity of IBC as a distinct variant of breast cancer

Results: These models have allowed us to identify micro-metastatic foci in multiple sites distant from the IBC primary tumor in each of these models of IBC and allow the quantitation of anti-tumor and anti-metastatic effects of targeted therapeutics as single agents as well as the potential synergy of combinations of agents. As an example, injection of LUC-tagged IBC cell lines such as SUM149-Luc, into the left ventricle of NOD.Cg-Prkdcscid Il2rgtm1Wjl/SzJ mice allows the metastatic tumor burden to be monitored longitudinally by whole animal BLI, which can be validated at necropsy and by immunohistochemical analysis. Whole transcriptome analysis of pre-clinical models of IBC reflect the molecular subtypes observed in IBC patients, with the majority of IBC models being of the basal like, luminal B and Her2 amplified. Discussion: First time analysis of known and newly developed pre-clinical models of IBC allows a more complete analysis of IBC as a distinct variant of breast cancer. Furthermore, these approaches allow rapid evaluation of the promising targeted therapeutics identified based on whole transcriptome analysis of both IBC patient tumors and pre-clinical models developed from IBC patients. We believe that this extensive collection of LUC-tagged IBC cell lines is an invaluable tool for IBC research since the cell lines encompass the broad spectrum of IBC heterogeneity.

Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr P4-03-06.

P2-05-04: Mapping the Specific Gene Families Activated in the Lymphangiogenesis and Vasculogenic Mimicry Exhibited by Inflammatory Breast Cancer

Background: Inflammatory breast cancer (IBC) is the most metastatic variant of locally advanced breast cancer. Although IBC is diagnosed less commonly than other types of breast cancer, it is extremely aggressive, and accounts for a disproportionate number of breast cancer related deaths annually. IBC exhibits very specific patterns of lymphangiogenesis and vasculogenic mimicry, however detailed studies of the genes and proteins involved in these angiogenic processes are lacking. This study performed whole unbiased gene transcription studies with validation by protein arrays using all available pre-clinical cell lines and in vivo xenograft models of IBC, including a new model of IBC, FC-IBC01, which exhibits lymphovascular invasion, to identify the specific pathways involved in the distinctive angiogenesis observed in IBC.

Materials and Methods: Real-time quantitative RT-PCR, cDNA microarray gene profiling, immunofluorescence with confocal imaging and protein arrays were used to examine differential expression of specific angiogenic gene families including VEGFA,B,C,D, VEGF Receptor genes, and ANG/TIE genes linked to angiogenesis and lymphangiogenesis.

Results: Activity of the matrix metalloproteinase, MMP-2, is required for IBC tumor cells to undergo vasculogenic mimicry (VM), which is associated with a loss of TIMP-2, a well known inhibitor of angiogenesis. Therapeutics that target MMP activity can successfully inhibit this VM. Furthermore, pre-clinical models of IBC that form IBC tumor emboli exhibit lymphovascular invasion that is associated with distinct patterns of expression of genes that encode for distinct receptor tyrosine kinases that may represent important therapeutic targets for IBC.

Discussion: Identification of the distinct angiogenic pathways that are activated in IBC provides insight into the therapeutic targets that may abrogate the distinct lymphovascular invasion and vasculogenic mimicry that are linked to the aggressive metastasis of IBC.

Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr P2-05-04.