BrcaSeg: A Deep Learning Approach for Tissue Quantification and Genomic Correlations of Histopathological Images

Epithelial and stromal tissues are components of the tumor microenvironment and play a major role in tumor initiation and progression. Distinguishing stroma from epithelial tissues is critically important for spatial characterization of the tumor microenvironment. Here, we propose BrcaSeg, an image analysis pipeline based on a convolutional neural network (CNN) model to classify epithelial and stromal regions in whole-slide hematoxylin and eosin (H&E) stained histopathological images. The CNN model is trained using well-annotated breast cancer tissue microarrays and validated with images from The Cancer Genome Atlas (TCGA) Program. BrcaSeg achieves a classification accuracy of 91.02%, which outperforms other state-of-the-art methods. Using this model, we generate pixel-level epithelial/stromal tissue maps for 1000 TCGA breast cancer slide images that are paired with gene expression data. We subsequently estimate the epithelial and stromal ratios and perform correlation analysis to model the relationship between gene expression and tissue ratios. Gene Ontology (GO) enrichment analyses of genes that are highly correlated with tissue ratios suggest that the same tissue is associated with similar biological processes in different breast cancer subtypes, whereas each subtype also has its own idiosyncratic biological processes governing the development of these tissues. Taken all together, our approach can lead to new insights in exploring relationships between image-based phenotypes and their underlying genomic events and biological processes for all types of solid tumors. BrcaSeg can be accessed at https://github.com/Serian1992/ImgBio.     

Over‐Expression of RNA Processing,Heat Shock,and DNA Repair Proteins in Breast Tumor Compared to Normal Tissue

This study identifies the main changes in protein expression in human breast tumors compared to normal breast tissue. Malignant tumors (32) and normal breast tissue samples (23), from formaldehyde‐fixed, paraffin‐embedded specimens are subjected to discovery proteomics using liquid chromatography/tandem mass spectrometry, with spectral counts for quantitation. The dataset contains 1406 proteins. Differential expression is measured using a method that takes advantage of estimates of the percentage of tumor on a slide. This analysis shows that the major classes of proteins over‐expressed by tumors are RNA‐binding, heat shock and DNA repair proteins. RNA‐binding proteins, including heterogeneous nuclear ribonucleoproteins (HNRNPs), SR splice factors (SRSF) and elongation factors form the largest group. Comparison with results from another study demonstrates that the RNA‐binding proteins are associated specifically with malignant transformation, rather than with cell proliferation. HNRNP and SRSF proteins help define splice sites in normal cells. Their over‐expression may dysregulate splicing, which in turn has the potential to promote malignant transformation.     

Analysis of pp60c-src protein kinase activity in human tumor cell lines and tissues

We have evaluated the level of pp60c-src protein kinase activity in a variety of human tumor tissues and human tumor cell lines, and have estimated the abundance of the c-src protein in several of these tissues and cell lines. All cell lines derived from tumors of neuroectodermal origin that express a neural phenotype were found to possess c-src molecules with high levels of tyrosine-specific protein kinase activity. In contrast, cell lines derived from tumors of neuroectodermal origin that do not express neural characteristics, such as glioblastomas and melanomas, were found to have pp60c-src molecules with low levels of protein kinase activity. A similar pattern was observed when we analyzed the activity of c-src molecules extracted directly from corresponding tumor tissues. Analysis of human tumor cell lines derived from tissues other than those of neuroectodermal origin revealed that pp60c-src protein kinase activity was low in most cases. Exceptions to this observation were all rhabdomyosarcoma, osteogenic sarcoma, Ewing's sarcoma, and colon carcinoma lines tested. Comparison of pp60c-src kinase activity in normal skeletal muscle and rhabdomyosarcoma tissue and in normal breast tissue and breast adenocarcinoma tissue revealed that pp60c-src kinase activity was specifically elevated in the tumor tissues in both cases. However, the amount of pp60c-src protein in both normal and tumor tissues was found to be similar. These observations suggest that increases in the specific activity of the pp60c-src phosphotransferase in some rhabdomyosarcomas and breast carcinomas may be a characteristic acquired during the malignant transformation of the cells that is retained in cell lines established from these tumors.     

Flow cytometric DNA analysis using cytokeratin labeling for identification of tumor cells in carcinomas of the breast and the female genital tract.

Flow cytometric assessment of DNA-ploidy and S-phase fraction in malignant tumors is compromised by the heterogeneity of cell subpopulations derived from the malignant and surrounding connective tissue, e.g., tumor, stromal and inflammatory cells. To evaluate the effect on quality of DNA cell cycle analysis and determination of DNA ploidy, cytokeratin labeling of epithelial cells was used for tumor cell enrichment in breast, ovarian, cervical and endometrial cancer prior to DNA analysis. In a prospective study, tumor cell subpopulations of 620 malignant tumors were labeled by a FITC-conjugated cytokeratin antibody (CK 5, 6, CK18 and CK 5, 6, 8 and CK 17, respectively) prior to flow cytometric cell cycle analysis. Compared to total cell analysis, detection rate of DNA-aneuploid tumors following cytokeratin labeling was increased from 62% to 76.5% in breast cancer, from 68% to 77% in ovarian cancer, from 60% to 80% in cervical cancer and from 30% to 53% in endometrial cancer. Predominantly in DNA-diploid tumors, a significantly improved detection of S-phase fraction of the tumor cells was shown due to the elimination of contaminating nonproliferating "normal cells". S-phase fraction following tumor cell enrichment was increased by 10% (mean) following cytokeratin staining in ovarian and endometrial cancer, by 30% in breast cancer and even by 70% in cervical cancer compared to total cell analysis. Thus, diagnostic accuracy of DNA-analysis was enhanced by cytokeratin labeling of tumor cells for all tumor entities investigated.     

Tumor Cell Identification in Ki-67 Images on Deep Learning

The proportion of cells staining for the nuclear antigen Ki-67 is an important predictive indicator for assessment of tumor cell proliferation and growth in routine pathological investigation. Instead of traditional scoring methods based on the experience of a trained laboratory scientist, deep learning approach can be automatically used to analyze the expression of Ki-67 as well. Deep learning based on convolutional neural networks (CNN) for image classification and single shot multibox detector (SSD) for object detection are used to investigate the expression of Ki-67 for assessment of biopsies from patients with breast cancer in this study. The results focus on estimating the probability heatmap of tumor cells using CNN with accuracy of 98% and detecting the tumor cells using SSD with accuracy of 90%. This deep learning framework will provide an objective basis for the malignant degree of breast tumors and be beneficial to the pathologists for fast and efficiently Ki-67 scoring.     

Hypoxia-induced dedifferentiation of tumor cells--a mechanism behind heterogeneity and aggressiveness of solid tumors

Histopathological examination of solid tumors frequently reveals pronounced tumor cell heterogeneity with regards to cell organization, cell morphology, cell size, nuclei morphology, etc. Analyses of gene expression patterns by immunohistochemistry or in situ hybridization techniques further strengthen the actual presence of phenotypic heterogeneity, often demonstrating substantial diversity within a given tumor. The molecular mechanisms underlying the phenotypic heterogeneity are very complex with genetic, epigenetic and environmental components. Hypoxia, shortage in oxygen, greatly influences cellular phenotypes by altering the expression of specific genes, and is an important contributor to intra- and inter-tumor cell diversity as revealed by the pronounced but non-uniform expression of hypoxia-driven genes in solid tumors (reviewed in [Semenza GL. Targeting HIF-1 for cancer therapy. Nat Rev Cancer 2003;3:721-32; Harris AL. Hypoxia--a key regulatory factor in tumour growth. Nat Rev Cancer 2002;2:38-47.]). The oxygen pressure in solid tumors is generally lower than in the surrounding non-malignant tissues, and tumors exhibiting extensive hypoxia have been shown to be more aggressive than corresponding tumors that are better oxygenized [Vaupel P. Oxygen transport in tumors: characteristics and clinical implications. Adv Exp Med Biol 1996;388:341-51; Vaupel P, Thews O, Hoeckel M. Treatment resistance of solid tumors: role of hypoxia and anemia. Med Oncol 2001;18:243-59.]. We recently observed that hypoxic neuroblastoma cells and breast cancer cells lose their differentiated gene expression patterns and develop stem cell-like phenotypes [J?gi A, ?ra I, Nilsson H, Lindeheim A, Makino Y, Poellinger L, et al. Hypoxia alters gene expression in human neuroblastoma cells toward an immature and neural crest-like phenotype. Proc Natl Acad Sci USA 2002;99:7021-6; Helczynska K, Kronblad A, J?gi A, Nilsson E, Beckman S, Landberg G, et al. Hypoxia promotes a dedifferentiated phenotype in ductal breast carcinoma in situ. Cancer Res 2003;63:1441-4.]. As low stage of differentiation in neuroblastoma and in breast cancer is linked to poor prognosis, hypoxia-induced dedifferentiation will not only contribute to tumor heterogeneity but could also be one mechanism behind increased aggressiveness of hypoxic tumors. The effect(s) of hypoxia on tumor cell differentiation status is the focus of this review.     

Fine needle aspiration cytology diagnosis of a cutaneous granular cell tumor in a 7-year-old child. A case report

BACKGROUND: Granular cell tumors are neoplasms of uncertain histogenesis, although a neural origin is favored. Most reports on the cytologic features of granular cell tumors have been on lesions from the breast or respiratory tract. However, there are only a few reports on fine needle aspiration (FNA) cytologic diagnosis of cutaneous or soft tissue granular cell tumors. CASE: A 7-year-old girl presented with a skin lesion on her right forearm of one year's duration. The FNA smears showed sheets and clusters of oval to polygonal cells with an abundant amount of granular cytoplasm. Many single, scattered cells with similar morphology were seen in the background. Immunostaining for S-100 protein showed granular cytoplasmic positivity. The tumor was diagnosed as a benign granular cell tumor. The histopathology report on the excised lesion confirmed the FNA diagnosis. CONCLUSION: The cytopathologic features of granular cell tumors presenting as skin lesions are distinctive enough to allow a correct diagnosis on FNA cytology.     

Neural network analysis of follow-up data in primary breast cancer

This paper reports on the performance of a recently developed neural network environment incorporating likelihood-based optimization and complexity reduction techniques in the analysis of breast cancer follow-up data with the goal of building up a clinical decision support system. The inputs to the neural network include classical factors such as grading, age, tumor size, estrogen and progesterone receptor measurements, as well as tumor biological markers such as PAI-1 and uPA. The network learns the structural relationship between these factors and the follow-up data. Examples of neural models for relapse-free survival are presented, which are based on data from 784 breast cancer patients who received their primary therapy at the Department of Obstetrics and Gynecology, Technische Universit?t München, Germany. The performance of the neural analysis as quantified by various indicators (likelihood, Kaplan-Meier curves, log-rank tests) was very high. For example, dividing the patients into two equally sized groups based on the neural score (i.e., cutoff = median score) leads to an estimated difference in relapse-free survival of 40% or better (80% vs. 40%) after 10 years in Kaplan-Meier analysis. Evidence for factor interactions as well as for time-varying impacts is presented. The neural network weights included in the models are significant at the 5% level. The use of neural network analysis and scoring in combination with strong tumor biological factors such as uPA and PAI-1 appears to result in a very effective risk group discrimination. Considerable additional comparison of data from different patient series will be required to establish the generalization capability more firmly. Nonetheless, the improvement of risk group discrimination represents an important step toward the use of neural networks for decision support in a clinical framework and in making the most of biological markers.     

Comparison between slide and flow cytophotometric DNA measurements in breast tumors

Nuclear DNA analysis was performed in 37 human mammary adenocarcinomas in order to elucidate the difficulties and pitfalls connected with the interpretation of DNA histograms obtained using different methodologic approaches. For each tumor, DNA profiles were obtained by means of slide microspectrophotometry on a fine needle aspirate, slide cytophotometry on a 4-micron histologic section and flow cytometry on a suspension prepared from a cube of fresh tissue. When the DNA histograms were interpreted according to criteria usually applied to discriminate low-grade malignant tumors from high-grade malignant tumors, some tumors classified as euploid by one method were classified as aneuploid by another method. The main reasons for this weak correlation seem to be in specimen preparation and in tumor cell representation within the specimen between the methods. Another reason is that slide and flow techniques exhibit different sensitivities for malignancy-associated nuclear DNA changes: minor alterations of the DNA content of the tumor stemlines seem to be more exactly reported by means of the flow technique whereas structural alterations of the nuclear chromatin seem to be more sensitively recorded by means of the slide technique. It is suggested that thorough control of each step of the various DNA analysis procedures and the use of information obtainable by slide and flow techniques taken together may significantly improve the prognostic value of DNA measurements.     

Development and characterization of breast carcinoma cell lines as in vitro and in vivo models for breast cancer diagnosis and therapy

Summary To establish a model system for preclinical radioimmunotherapy studies, attempts were made to graft 16 different human breast carcinoma cell lines into BALB/c nu/nu (nude) mice. Nine produced serially transplantable tumors growing at a variable rate, whereas seven failed to do so. Conversely, three new cell lines were established in monolayer culture from transplantable human breast tumors in nude mice. Twelve selected tumors and their corresponding cell lines were characterized for DNA ploidy, % S-phase, and breast epithelial mucin expression by immunohistochemistry and flow cytometry. A wide diversity of these cellular characteristics were found in that each tumor was unique and distinct from the others. DNA ploidy differed among the tumors but was not affected by switching between in vitro to in vivo growth. Some tumors expressed similar levels of the breast mucin both in vitro and in vivo, whereas most expressed lower levels as transplantable tumors. There was a good correlation between immunohistochemical and flow cytometric determination of surface and cytoplasmic mucin expression, and with both techniques estrogen and progesterone receptor positive tumors had significantly higher levels of mucin expression than receptor negative tumors. These 12 transplantable breast tumors, with their corresponding cell lines, provide an excellent model system for testing radioimmunotherapy and other therapeutic reagents because they exhibit diverse phenotypic characteristics that represented a mini-population of breast cancer patients’ tumors, allowing assessment of the effect of therapy when confronted with different breast tumors’ genotype and phenotype.     

Interleukin-2 expanded lymphocytes from lymph node and tumor biopsies of human renal cell carcinoma, breast and ovarian cancer

Adoptive immunotherapy with immune effector cells has proved to be potent for treatment of tumors, however neither the attendant criteria for potential clinical efficacy of the injected cells, nor the method to prepare these cells are presently well established. Our procedure of collecting lymphocytes from biological samples, was based on the use of low IL-2 concentrations (90 to 150 IU/ml) and on the stringent separation of lymphocytes from tumor cells at the very early stages of their outgrowth in culture. When lymphocytes were derived from tumor biopsies (TIL), we observed differences depending on the histological type of tumor. In renal cell carcinoma, natural killer cells were expanded in 4/11 biopsies contrary to what was observed in breast cancer (92 +/- 5% of T lymphocytes from 9 biopsies). The outgrowth of lymphocytes from breast tumors was slower and lower than from renal carcinomas. The autologous tumor cell line was more difficult to obtain from breast carcinoma (23%) than from renal cell carcinoma (61%) biopsies. For ovarian cancer, short-term culture of tumor cells could be obtained for half of the tumor-invaded biological samples. Eight of the 23 tumor-derived cultures contained more than 40% CD8 T. TIL were consistently cytolytic each time they could be evaluated. For ascitic and pleural fluids, data were of similar range. In ascitic-derived cultures, tumor cells and antigen-presenting cells are present and can be supposed to rechallenge T cells with tumor antigens. Lymphocytes derived from lymph nodes could be expanded to a larger number than TIL. However, only 1/18 of these cultures contained more than 40% CD8 T. The presence of few tumor cells in this culture was in favor of significant specific and non-specific cytotoxicity in RCC lymph node cultures and higher percentages of CD8 T in breast cancer lymph nodes. Correlations could not be established between CD8 T percentages and specific in vitro cytotoxicity in our polyclonal populations. Our conclusion is that phenotypic and functional quality of lymphocytes is of interest when the T cells are derived 1) from tumors (RCC, breast or ovarian cancer) and isolated very early to avoid inhibitor factors secreted from tumor cells or 2) from lymph nodes and ascitic and pleural fluids when very few tumor cells are co-cultivated with lymphocytes at initial steps of culture. Final expansion to a number of lymphocytes suitable for therapy (> 109) could be attained in a second step of the procedure by the use of 1,000 IU/ml IL-2 each time it was assayed with 50.106 lymphocytes. In view of these data it appears that phenotypic and functional changes occur during culture depending on the presence of a particular ratio of tumor antigens. This could be artificially reproduced.     

Allelic imbalance in primary breast carcinomas and metastatic tumors of the axillary lymph nodes

Axillary lymph node status is the most important prognostic factor in predicting disease outcome in women with breast cancer. A number of chromosomal aberrations in primary breast tumors have been correlated with lymph node status and clinical outcome, but chromosomal changes particular to metastatic lymph node tumors have not been well studied. DNA samples isolated from laser-microdissected primary breast and metastatic axillary lymph node tumors from 25 women with invasive breast cancer were amplified using 52 microsatellite markers defining 26 chromosomal regions commonly deleted in breast cancer. Levels and patterns of allelic imbalance (AI) within and between breast and lymph node tumors were assessed to identify chromosomal alterations unique to primary or metastatic tumors and to examine the timing of metastatic potential. The overall frequency of AI in primary breast tumors (0.24) was significantly greater (P < 0.001) than that in lymph node tumors (0.10), and congruent AI events were observed for < 20% of informative markers. AI at chromosomes 11q23.3 and 17p13.3 occurred significantly more frequently (P < 0.05) in primary breast tumors alone; no chromosomal regions showed a significantly higher AI frequency in lymph nodes. Higher rates of AI in primary versus metastatic lymph node tumors suggest that acquisition of metastatic potential may be an early event in carcinogenesis, occurring before significant levels of AI accumulate in the primary tumor. In addition, patterns of AI were highly discordant between tumor types, suggesting that additional genetic alterations accumulated independently in the two cell populations.     

Aromatase in the normal breast and breast cancer

Adipose tissue and muscle constitute the larger proportion of body mass, and therefore aromatization in these tissues is the major source of circulating estrogens in postmenopausal women. Although plasma estrogen concentrations are very low, levels in breast cancers from postmenopausal patients are reported to be 10-fold higher than in plasma and normal tissue. Whereas studies on aromatase activity in the tumor suggest that estrogen may be produced locally, the significance of this contribution has been questioned. Using immunocytochemistry (ICC) to an anti-aromatase antibody, a relatively strong immunoreaction was detected in tumor epithelial cells as well as in the terminal ductal lobular units (TDLUs) of the normal breast. Aromatase expression was detected in the cytoplasm of tumor epithelial cells and the surrounding stromal cells of over 50% of tumors in a series of 19 breast cancers. In situ hybridization (ISH) to aromatase mRNA confirmed the immunocytochemical result that the epithelial cells are the primary site of estrogen synthesis in the breast and breast cancers. In the 10 tumors which showed immunoreaction to aromatase, the average aromatase activity measured in cryosections was 286.5 ± 18.6 fmol estrogen/mg protein/h (SE), whereas in nine tumors with weak aromatase immunoreaction, the enzyme activity was 154.7 ± 19.3 fmol estrogen/mg protein/h (P < 0.05) (SE). The functional significance of tumor aromatase and locally produced estrogens on the growth of tumors was suggested by the correlation between aromatase activity and proliferating cell nuclear antigen (PCNA), a marker of cell proliferation (P < 0.005). Although intratumoral aromatase activity did not correlate with steroid receptors significantly, there was a trend for estrogen receptor (ER)-positive tumors to express aromatase. In addition, proliferation ([³H]-thymidine incorporation into DNA) during histoculture, was increased by both estradiol and testosterone in tumors with high aromatase activity. Our results suggest that some tumors synthesize sufficient estrogen to stimulate their proliferation. It may thus be important to inhibit tumor aromatase as well as to reduce circulating levels of estrogen for effective breast cancer treatment.     

Development and characterization of highly polymorphic long TC repeat microsatellite markers for genetic analysis of peanut

Background

The immune system has paradoxical roles during cancer development and the prognostic significance of immune modulating factors is controversial. The aim of this study was to determine the expression of cyclooxygenase 2 (COX-2), transforming growth factor-beta (TGF- beta), interleukin-10 (IL-10) and their prognostic significance in breast cancers. Ki67 was included as a measure of growth fraction of tumor cells.

Methods

On immunohistochemical stained slides from 38 breast cancer patients, we performed digital video analysis of tumor cell areas and adjacent tumor stromal areas from the primary tumors and their corresponding lymph node metastases. COX-2 was recorded as graded staining intensity.

Results

The expression of TGF-beta, IL-10 and Ki67 were recorded in tumor cell areas and adjacent tumor stromal areas. In both primary tumors and metastases, the expression of COX-2 was higher in the tumor stromal areas than in the tumor cell areas (both P < 0.001). High stromal staining intensity in the primary tumors was associated with a 3.9 (95% CI 1.1-14.2) times higher risk of death compared to the low staining group (P = 0.036). The expression of TGF-beta was highest in the tumor cell areas of both primary tumors and metastases (both P < 0.001). High stromal expression of TGF-beta was associated with increased mortality. For IL-10, the stromal expression was highest in the primary tumors (P < 0.001), whereas in the metastases the expression was highest in tumor cell areas (P < 0.001). High IL-10 expression in tumor- and stromal cell areas of primary tumors predicted mortality. Ki67 was higher expressed in tumor stromal areas of the metastases, and in tumor cell areas of the primary tumors (P < 0.001). Ki67 expression in tumor cell areas and stromal areas of the metastases was independently associated with breast cancer mortality.

Conclusions

Stromal expression of COX-2, TGF-beta and Ki67 may facilitate tumor progression in breast cancer.     

Flow cytometric analysis of human breast tumors and assessment of in vitro chemosensitivity by clonogenic assays

We report a double-agar clonogenic system adapted to human breast cancer. We optimized the conditions for cell growth and clonogenicity with respect to hormones (insulin, estradiol, progesterone) and components of the extracellular matrix (collagen, laminin and fibronectin). Using our experimental improvements, 67% of the breast tumor samples received were grown successfully. Tests on 21 tumors with three agents: Doxorubicin, Methotrexate and 5-Fluorouracil permit objective discrimination of the in vitro pharmacosensitivity of human breast tumors. Flow cytometric analysis reveal that 64% of the tumors were diploid and 36% were aneuploid. The aneuploid tumors grew better in the double agar layer system used for the clonogenic assay. The diploid tumors were especially rich in estrogen (ER⁺) and progesterone (PR⁺) receptors whereas the aneuploid tumors were mostly estrogen and progesterone receptors negative (ER^–/PR^–). Finally, we noted no difference in drug responsiveness depending on the tumor ploidy and steroid receptor content.Abbreviations DCC dextran coated charcoal - DI DNA index - DXB Doxorubicin - ECM extracellular matrix component - ER estrogen receptors - FCM flow cytometry - 5-FU 5-Fluorouracil - HTSCA human tumor stem cell assay - MTX Methotrexate - PBC primary breast carcinoma - PI proliferative index - PR progesterone receptors - SPF S phase fraction     

The cancer stem cell theory: is it correct?

The cancer stem cell hypothesis posits that tumor growth is driven by a rare subpopulation of cells, designated cancer stem cells (CSC). Studies supporting this theory are based in large part on xenotransplantation experiments wherein human cancer cells are grown in immunocompromised mice and only CSC, often constituting less than 1% of the malignancy, generate tumors. Herein, we show that all colonies derived from randomly chosen single cells in mouse lung and breast cancer cell lines form tumors following allografting histocompatible mice. Our study suggests that the majority of malignant cells rather than CSC can sustain tumors and that the cancer stem cell theory must be reevaluated.     

Adoptive transfer of mammaglobin-a epitope specific CD8 T cells combined with a single low dose of total body irradiation eradicates breast tumors

Adoptive T cell therapy has proven to be beneficial in a number of tumor systems by targeting the relevant tumor antigen. The tumor antigen targeted in our model is Mammaglobin-A, expressed by approximately 80% of human breast tumors. Here we evaluated the use of adoptively transferred Mammaglobin-A specific CD8 T cells in combination with low dose irradiation to induce breast tumor rejection and prevent relapse. We show Mammaglobin-A specific CD8 T cells generated by DNA vaccination with all epitopes (Mammaglobin-A2.1, A2.2, A2.4 and A2.6) and full-length DNA in vivo resulted in heterogeneous T cell populations consisting of both effector and central memory CD8 T cell subsets. Adoptive transfer of spleen cells from all Mammaglobin-A2 immunized mice into tumor-bearing SCID/beige mice induced tumor regression but this anti-tumor response was not sustained long-term. Additionally, we demonstrate that only the adoptive transfer of Mammaglobin-A2 specific CD8 T cells in combination with a single low dose of irradiation prevents tumors from recurring. More importantly we show that this single dose of irradiation results in the down regulation of the macrophage scavenger receptor 1 on dendritic cells within the tumor and reduces lipid uptake by tumor resident dendritic cells potentially enabling the dendritic cells to present tumor antigen more efficiently and aid in tumor clearance. These data reveal the potential for adoptive transfer combined with a single low dose of total body irradiation as a suitable therapy for the treatment of established breast tumors and the prevention of tumor recurrence.