This work presets an advanced protocol to accurately assess tumor loading by detection of green fluorescent protein and bioluminescence signals as well as the integration of quantitative molecular detection technique.
Triple-negative breast cancer (TNBC) is an aggressive breast cancer subtype with limited therapeutic options. When compared to patients with less aggressive breast tumors, the 5-year survival rate of TNBC patients is 77% due to their characteristic drug-resistant phenotype and metastatic burden. Toward this end, murine models have been established aimed at identifying novel therapeutic strategies limiting TNBC tumor growth and metastatic spread. This work describes a practical guide for the TNBC orthotopic model where MDA-MB-231 breast cancer cells suspended in a basement membrane matrix are implanted in the fourth mammary fat pad, which closely mimics the cancer cell behavior in humans. Measurement of tumors by caliper, lung metastasis assessment via in vivo and ex vivo imaging, and molecular detection are discussed. This model provides an excellent platform to study therapeutic efficacy and is especially suitable for the study of the interaction between the primary tumor and distal metastatic sites.
Approximately one in eight women in the United States will develop invasive breast cancer during her lifetime, and 10%−20% of these women will be diagnosed with the aggressive triple negative breast cancer (TNBC) subtype. While primary lesions can be surgically removed in most cases, the subclinical micrometastasis and chemoresistance make it an intractable disease. Importantly, most patients with metastatic TNBC eventually relapse, even if they underwent treatment in the early stage1. Thus, cancer heterogeneity, micrometastasis, and therapeutic resistance are three major challenges limiting the successful clinical outcome of TNBC patients. Hence, there is an urgent need to better understand the polymorphic molecular background of TNBC and develop effective therapeutic agents that limit metastatic disease.
Tumor metastasis is a multistep process where the tumor cell controls and usurps its microenvironment to promote its own dissemination via membrane degradation and tumor cell escape from the primary lesion, via entry into (i.e., intravasation) and exit from (i.e., extravasation) the vasculature, and ultimately adaptation and colonization within distal tissue beds2. Animal models have been developed to study breast cancer metastasis, where two methodologies are commonly implemented: direct blood circulation injection and orthotopic implantation. Commonly employed methods for direct blood circulation injection include tail vein injection, while other approaches including direct cardiac injection3, direct brain injection4, and direct liver injection5 have also been employed. The direct blood circulation injection is often referred to as an artificial metastasis model, which is quick and easy but less physiologically accurate because it circumvents tumor escape from the primary lesion and intravasation6,7,8. When compared to direct injection models, the orthotopic breast cancer model takes longer for the occurrence of detectable metastatic lesions in remote organs such as the lung, but it is more physiologically relevant because it closely mimics the multistep metastatic process as it occurs in humans. Importantly, a 2013 study9 compared the tail vein injection and orthotopic models and found that the breast cancer cells injected into the tail vein and those isolated from lung metastatic lesions after tail vein injection exhibited similar global gene expression profiles. In contrast, the global gene expression profile of orthotopically injected breast cancer cells was dramatically different than that of lung metastatic lesions arising from orthotopically injected cells9. These observations suggest that the orthotopic model is more physiologically relevant, because the metastatic lesions undergo a selection process similar to the multistep process of metastasis as it occurs in humans.
This work describes an orthotopic breast cancer (MDA-MB-231-Luc/GFP) model in nude mice that was optimized in our laboratory for imaging detection techniques as well as the identification of novel biomarkers and development of targeted chemotherapeutic agents.
Analysis of tumor growth was carried out using protocols approved by the Committee for the Ethics of Animal Experiments of the National Cancer Institute and adhered to the recommendations of the United States National Research Council's "Guide for the Care and Use of Laboratory Animals", the United States Public Health Service's "Guide for the Care and Use of Laboratory Animals", and the "Policy on Humane Care and Use of Laboratory Animals".
1. Preparation of cells for implantation
NOTE: MDA-MB-231 human breast adenocarcinoma cells (commercially acquired) were stably transfected with the luciferase gene III and enhanced green fluorescent protein (GFP) marker by lentivirus and grown in the presence of the selection antibiotic (puromycin).
2. Orthotopic breast cancer model and tumor size measurement
3. In vivo bioluminescence and ex vivo fluorescence imaging
NOTE: In this study, both two-dimensional bioluminescence and fluorescence imaging are conducted at the endpoint of the experiment. The bioluminescence imaging (BLI) was performed using a commercial preclinical optical scanner equipped with a 16-bit cooled CCD camera and heated imaging stage.
4. Molecular detection of metastatic breast cancer cells
5. Metastatic breast cancer cell detection in lung
6. Data collection and analysis
Tumor volume measurement by caliper is a well-established method to assess treatment efficacy (Figure 1). The number of cells implanted, use of basement membrane matrix, microbiome, facility cleanliness, and injection site are the key factors impacting the tumor growth rate.
Unlike the GFP imaging, BLI required the administration of luciferase substrate at least 15−20 min prior to BLI imaging. Furthermore, the mouse strain, cell line, treatments, and luciferase reporter all affect the bioluminescence signal levels. Thus, to obtain comparable signals between the study groups, a pre-imaging BLI kinetic study must be conducted to determine the best imaging time frame (Figure 2).
Due to the superior signal-to-background ratio26,27, the whole body in vivo bioluminescence imaging was quite sensitive in detecting low-level metastasis signal compared to the GFP approach (Figure 3). Furthermore, the bioluminescence signal provided deeper penetration than GFP by a few millimeters. However, bioluminescence signal production requires ATP, which is a limiting factor in evaluating ex vivo tissue samples. If the animals are processed quickly, then BLI could be a viable approach to obtain quantitative results on metastasis. One way to achieve this is by processing one animal at a time. However, this approach was not feasible for this study because a large cohort of mice was used. BLI signal was not detected when the organs were imaged around 45 min post luciferin injection. The use of a dual reporter cell line is useful in this situation. Due to the stable nature of the GFP molecule, researchers would have sufficient time to process the carcass prior to capturing the GFP signals from target organs (Figure 4).
Figure 5 provides a real-life example of how caliper tumor size measurements could distort the data interpretation, because the xenograft lost most of the viable tumor cell content but still maintained its large mass and shape. Histopathological examination of those xenografts indicated necrosis inside the mass (Figure 5B).
For researchers who challenge the imaging results regarding the brain metastasis in the orthotopic breast cancer model, molecular detection by real-time PCR can provide convincing evidence (Figure 6). In this case, the exogenous GFP DNA sequence was the best way to address this problem, because the transfected GFP DNA sequence does not naturally exist in humans or rodents.
Figure 1: Tumor volume measurement. Tumor volume/loading measurement with a caliper started on day 10 after xenograft implantation and then was measured 2x a week until the end of the experiment. Error bars are calculated by SEM value. Please click here to view a larger version of this figure.
Figure 2: Determination of optimal image acquisition window. Left: One mouse with a large xenograft and one mouse with a small xenograft were selected for the optimal luciferin kinetic range determination. Right: Luciferin kinetic curve obtained by acquiring the images every 2 min for 40 min. A plateau was observed between 15−22 min, which was used as an optimal image acquisition time for all subsequent imaging. Please click here to view a larger version of this figure.
Figure 3: Whole body BLI imaging. L: Whole body BLI imaging. M: Ventral view with the lower body covered with a sleeve of a black glove. R: Dorsal view with the lower body covered with a sleeve of a black glove. An axillary lymph node metastasis is detected in the ventral view by BLI imaging. Please click here to view a larger version of this figure.
Figure 4: Ex vivo BLI/GFP signal detection. GFP signals were detected in the brain and lung from the same mouse 20 min after the mouse was sacrificed. BLI signal was not detected 45 min post luciferin injection. No GFP signal was detected in naive mouse brain and lung. Please click here to view a larger version of this figure.
Figure 5: Advantages of optical imaging techniques over caliper measurements. (A) Representative image showing in vivo GFP signal detection in a primary tumor. Only a minor portion of the xenograft showed GFP signal, suggesting that a significant portion of the mass was stroma. This cannot be determined by traditional caliper measurements and can lead to an inaccurate conclusion. This example highlights the importance of optical imaging for the animal model study. (B) Histopathology section of the same mouse showing that the necrotic region (i.e., inner region) also contributed to the tumor size calculation. Please click here to view a larger version of this figure.
Figure 6: Melting curve analysis. The melt curve plot showing the specificity of GFP amplicons. DNA from the brain obtained from the MDA-MB-231-Luc/GFP-implanted mice and the DNA isolated from the MDA-MB-231-Luc/GFP cells grown in culture (positive control) were assayed. The real-time PCR assay was performed to assess the GFP content in the brain tissue. (A,B) The melting curves of the positive control and the DNA extracted from mouse brain, respectively. (C) The overlapped curves of panels A and B, indicating the peak signals from the mouse brain DNAs are specific for the exogenous GFP sequence. Please click here to view a larger version of this figure.
For the study of TNBC in animals, two murine models have been developed: the MDA-MB-231 human breast adenocarcinoma cells in immune-compromised mice (i.e. athymic nude mice, NSG mice), and the 4T1 in immune-competent BALB/c mice. Both models have their advantages. The choice of the animal model for a study depends on the research goals. For example, the MDA-MB-231 model is a human TNBC cell line grown in immunocompromised mice that mimics immunosuppressed human breast cancer patients. On the other hand, the invasive phenotype of orthotopic 4T1 triple-negative murine breast cancer cells in BALB/c mice closely mimics the metastatic process as it occurs in stage IV human breast cancer patients. Unlike the intravenous cell injection approach, human MDA-MB-231 breast cancer cells were similarly injected into the mammary fat pad11,12 in the orthotopic breast cancer model11,13. The longer tumor growth and the acquired metastatic ability is more physiologically relevant, thus it is not an artificial metastatic cancer model4,14. Such a spontaneous metastasis model closely mimics human breast cancer development except for the initiation stage. This is a crucial model for in vivo drug screening and therapeutic efficacy assessment in metastatic breast cancer.
The tumor implantation site in the mouse plays a crucial role in providing a microenvironment that sustains tumor growth and the selection of metastatic phenotype similar to that which occurs in humans. The proximal lymph node and the presence of adipose tissue are the key factors affecting the disease progression of breast cancer15,16. In a human patient, the lymph node and adipose tissue are both key interacting factors affecting the malignancy and incidence of breast cancer17,18,19. Thus, the selection of the correct anatomical location for the injection site can highly impact the relevancy of the tumor model compared to the human disease. This study used the fourth mammary gland as the implantation site mainly due to the aforementioned requirements and that it is anatomically more accessible and easier to manipulate.
Different tumor volume calculation methods are available, and a researcher can choose any they see fit. The algorithm selected for this study is based on the findings by Faustino-Rocha et al., who compared different tumor volume calculation formulas and concluded that the formula below is the most accurate20.
Basement membrane matrix is an important extracellular matrix used in various in vitro21 and in vivo22,23 assays. There are contradicting reports22,24,25 regarding the influence of the basement membrane matrix on xenograft malignancy. It seems to only affect the initial establishment of the xenograft and have no further effect on xenograft growth25. For the xenograft implantation described, the basement membrane matrix was mixed with the cancer cells to increase the cell/gel mix solution viscosity prior to implantation. The presence of the basement membrane matrix reduces the loss of mix solution from the injection site and keeps the mix solution at the implantation site, thus increasing the uniformity of the implanted xenograft volume.
The MDA-MB-231 cell line is a malignant immortalized human breast adenocarcinoma cell line and is a popular tool in breast cancer research because of its triple-negative status. The use of dual reporters (luciferase and GFP) cell line allows more flexibility in handling the in vivo and ex vivo imaging. It is well established that the bioluminescence signal possesses greater sensitivity, depth detectability, and superior contrast (signal-to-noise ratio) than GFP signals. Because of this, it is a widely used imaging modality for whole body imaging. Unfortunately, bioluminescence detection is limited by a narrow time window (~15−20 mins post luciferin injection) during which the signal detection is linear. BLI signal diminishes rapidly when the animals are euthanized. This becomes an experimental design issue if many mice need to be euthanized and harvesting multiple tissues or organs is required. In these studies, blood was harvested by direct heart puncture, the brain, primary tumor, lung, and affected lymph node were examined in 40 mice. By the time the organs were harvested and ready for ex vivo imaging, the bioluminescence signal was undetectable. Therefore, GFP detection is more suitable in these situations. The emission of the GFP signal is in the visible range, and at these wavelengths, signal absorption due to blood (i.e., hemoglobin) is significantly higher. Also, autofluorescence in the visible range due to NADH, lipo-pigments, and flavins results in a significant background that makes it difficult to distinguish between a low-level GFP signal and autofluorescence background. Employing a multispectral fluorescence imaging approach instead of traditional filter-pair imaging and using spectral unmixing algorithms helps identify true GFP signal in the organ of interest. Hence, by combining the strengths of bioluminescence imaging in whole body in vivo detection and multispectral GFP imaging in the ex vivo organ/tissue evaluations, quantifiable data can be maximized in a large cohort of mice.
No matter which approach is selected for an animal study, extracting all blood prior to organ/tissue retrieval is highly recommended, especially for studies targeting the metastatic burden. This protocol detects GFP signals from the whole blood samples obtained from the mice (data not shown) in the orthotopic breast cancer model by real-time PCR assays. Minimizing the blood volume in organs/tissues will reduce the false positive signal in the target organs.
In conclusion, the orthotopic breast cancer model using the MDA-MB-231-Luc/GFP cells is a highly relevant animal model that closely mimics the human TNBC patient condition. This model is essential for studying, monitoring, and assessing therapeutic efficacy in a tumor microenvironment similar to human beings. The use of dual reporter cell lines further enhances the practicality of this orthotopic breast cancer model.
The authors have nothing to disclose.
The authors would like to acknowledge support by the Intramural Research Program of the National Institutes of Health, National Cancer Institute, Bethesda MD, Cancer and Inflammation Program, and the Frederick National Laboratory – Small Animal Imaging Program, Leidos Biomedical Research, Inc, Frederick Maryland, USA.
Bouins Solution | Sigma | HT10132-1L | Lung metastatic nodule staining |
D-Luciferin, Potassium Salt | GoldBio | LUCK-1G | Luciferase substrate |
DNAzol | ThermoFisher | 10503027 | DNA extraction Kit |
Excel | Microsoft | Spreadsheet software | |
homogenizer | Virtis | Cyclone Virtishear | For tissue homogenization |
IVIS SPECTRUM scanner | Perkin Elmer | fluorescence and BLI imaging system | |
Maestro GNIR-FLEX fluorescence scanner | Perkin Elmer | fluorescence imaging system | |
MatriGel Matrix | Corning | 356234 | Store at -20C and keep old (4 C) when in use. |
MDA-MB-231 / Luciferase-2A-GFP Stable Cell Line | GenTarget | SC044 | Dual Reporter human breast cancer cell line |
Microscope | ThermoFisher | EVOS | histology image capture |
Phosphate-Buffered Saline | ThermoFisher | 10010049 | rinse buffer |
Primer3 | MIT | Primer Design | |
Prism | GraphPad | Statistical Analysis Software | |
Puromycin | ThermoFisher | A1113803 | Antibiotics |
RPMI 1640 media | ThermoFisher | 61870127 | Culture media |
SeniFAST SYBR Lo-ROX kit | Bioline | BIO-94020 | Fast Real-Time PCR Reagent |
StepOne Plus Real-Time PCR system | ThermoFisher | Real-Time PCR machine |