Abstract
Improved detection of breast cancer using highly sensitive, tumor-specific imaging would facilitate diagnosis, surveillance and assessment of response to treatment. We conjugated osteopontin peptide to an infrared fluorescent dye to serve as a contrast agent for detection of breast cancer by multispectral optoacoustic tomography (MSOT). Selective binding of the osteopontin-based probe was identified using flow cytometry and near infrared fluorescent imaging in triple negative and HER2 positive breast cancer cell lines in vitro. Osteopontin-750 accumulation was evaluated in vivo using MSOT with secondary confirmation of signal accumulation using near infrared fluorescent imaging. The osteopontin-based probe demonstrated binding to breast cancer cells in vitro. Similarly, after intravenous administration of the osteopontin-750 probe, it accumulated preferentially in the subcutaneous breast tumor in nude mice (557 MSOT a.u. compared to untargeted organs such as kidney (53.7 MSOT a.u.) and liver (32.1 MSOT a.u.). At 2.5 h post-injection, signal intensity within the tumor was 9.7 and 17 times greater in the tumor bed than in the kidney or liver, respectively. Fluorescence imaging ex vivo comparing tumor signal to that of nontarget organs confirmed the results in vivo. MSOT imaging demonstrated selective accumulation of the fluorescent osteopontin targeting probe to tumor sites both in vitro and in vivo, and provided high-resolution images. Further development of this tool is promising for advanced diagnostic imaging, disease surveillance and therapeutic models that limit nontarget toxicity.
Keywords: breast cancer, contrast agent, multispectral optoacoustic tomography, osteopontin, targeted therapy
Breast cancer is a prevalent malignancy. In the United States in 2017, approximately 252,710 new cases of breast cancer were diagnosed and 40,610 deaths were reported (DeSantis et al. 2017). Although significant progress has been made in the care of patients with breast cancer (Park et al. 2015), the overall burden of disease from early stage disease to living with metastatic disease for increasing periods remains a significant public health issue (Coughlin and Ekwueme 2009). Advances in imaging that could enable improved diagnosis, disease measurement and assessment of treatment response have increasingly become a focus of research.
One approach to improving tumor-specific imaging in vivo is to employ a disease-specific protein with high binding affinity linked to a fluorescent radiolabel to create a targeted fluorescent probe that identifies tumors specifically (Ntziachristos et al. 2003). Detection of a fluorescent probe together with imaging enables direct visualization of the tumors (Bai and Bornhop 2012).
Precise localization of a fluorescent probe in vivo is a technical hurdle that hinders complete anatomic characterization of a tumor. Limitations of traditional two-dimensional planar imaging techniques include light scatter and signal attenuation, which decrease the ability of the fluorescent signal to distinguish internal anatomy (Leblond et al. 2010). Multispectral optoacoustic tomography (MSOT) provides high resolution images of tumors in vivo (McNally et al. 2016; Dey et al. 2018). MSOT overcomes the limitations of traditional imaging by exploiting a photoacoustic effect that enables highly specific separation of the fluorescent signal from the background signal, which produces cross-sectional images with resolutions of 75−150 µm (Razansky et al. 2012; Bhutiani et al. 2017).
Osteopontin, a multifunctional extracellular phosphoglycophosphoprotein, is expressed in bone and has been of interest increasingly as a potential diagnostic marker for cancer as well as a possible therapeutic target (Wei et al. 2017; Bandopadhyay et al. 2014). Recent work has begun to elucidate the role of osteopontin in early tumor biology including tumor development and growth, angiogenesis and metastasis (Coppola et al. 2004; Agrawal et al. 2002). Osteopontin is strongly expressed in breast cancer and has been shown to alter the tumor microenvironment (Sharon et al. 2015).
We investigated detection of breast cancer cells in vitro and in vivo using an osteopontin-labeled near infrared fluorescent probe that was detected using MSOT.
Material and methods
Cell culture
We used human breast cancer cell lines, triple negative (MDA-MB-231 and MDA-MB-468) and HER2 positive (SKBR3 and ZR-75–1), and an ovarian cancer cell line, CaOV3 (Kim et al. 2002), which is negative for osteopontin. Cells were grown at 37° C and 5% CO2 in Dulbecco’s modified Eagle medium (Life Technologies, Grand Island, NY) supplemented with 10% fetal bovine serum (Atlanta Biologicals, Lawrenceville, GA) and 1% L-glutamine (Life Technologies).
Labeling osteopontin with NIR dye
We combined 0.1 ml 25 mM phosphate buffer, pH 7.4, 3 µg osteopontin ligand (Prospec, Rehovat, Israel) and 50 nM water soluble Hilyte 750 succinyl ester dye (Anaspec, Fremont, CA) to form the dye-conjugated ligand probe. The probe then was transferred into dialysis tubing (2000 nominal molecular weight cut-off, NMWCO; Sigma-Aldrich, St. Louis, MO) and dialyzed against 25 mM phosphate buffer. Optical density was determined after conjugation of the Hilyte 750 succinyl ester dye with the osteopontin probe using a Jasco V-730 spectrophotometer (Jasco, Easton, MD).
Analysis of osteopontin probe binding in vitro
Human breast cell lines, MDA-MB-231, MDA-MB-468, SKBR3 and ZR-75–1 cells were plated in duplicate 6-well plates at 5.0 × 105/well at 37o C in 5% CO2. Osteopontin-750 probe, 10 nM in 100 µl, was added for 2 h to each well. Osteopontin-750 probe was removed and cells were washed twice with phosphate-buffered saline (PBS) containing 10% fetal bovine serum prior to near infrared fluorescent imaging using AMI-HT (Spectral Imaging Instruments, Tucson, AZ) at an excitation of 710 nm and emission of 770 nm. Region of interest (ROI) measurements were acquired using AMI-View and values were compared by ANOVA using SAS 9.3 software (SAS Institute, Cary, NC).
Flow cytometry
We incubated 1 µM CF594 succinimidyl ester dye with 4 µg osteopontin in the dark for 2 h. The excess dye was dialyzed using dialysis bags. Then 106 breast cancer cells were blocked with 0.1% bovine serum albumin. The dye-bound osteopontin ligand was added to the breast cancer cells. The cells were incubated for 1 h in the dark, then the cells were centrifuged at 0.2 x g for 5 min. The supernatant was discarded and the pellets were re-suspended in 1 ml flow buffer (PBS 7.4 in 0.1% fetal bovine serum). The osteopontin level in breast cancer cells was determined using a BD Accuri C6 flow cytometer (Franklin lakes, NJ). Subsequent data analysis was performed using C Flow analysis (version 1.0.264.15) software (San Jose, CA).
Human breast cancer xenograft mouse models
We injected 2.0 × 106 MDA-MB-231 breast cancer cells into the mammary fat pad (orthotopically) of 4-week-old female athymic mice (Charles River, Raleigh, NC). Cells were suspended in 75 µl Dulbecco’s modified essential medium (DMEM) cell culture medium without fetal bovine serum. Tumor growth for 21 days produced tumors 4−5 mm in diameter before evaluation of the osteopontin-750 imaging probe. Mice were maintained on an alfalfa free diet (2920X; Envigo, Indianapolis, IN) with access to water ad libitum.
Near Infrared fluorescent imaging
Osteopontin-750 probe was administered intravenously at a concentration of 50 nM. Mice were anesthetized using 2.0% isoflurane and 1.0 l oxygen followed by near infrared fluorescence imaging with the AMI-HT to confirm systemic injection of osteopontin-750, then imaged after 2 h. Of the five mice initially injected and screened for near infrared fluorescence signal from breast tumors, three mice were selected for MSOT imaging based upon near infrared fluorescent signal intensity.
Evaluation of probe binding with MSOT
Mice were imaged using an inVision 512 MSOT (iThera Medical, Munich, Germany) 2.5 h after administration of the osteopontin-750 probe. Mice were imaged ventral side up in an animal holder and positioned in a nose cone for delivery of anesthesia. Anesthesia was maintained at 1.5% isoflurane in 0.8 l medical air and 0.1 l O2 throughout imaging. Imaging was performed in the MSOT system using axial slices with a 0.3 mm step for 1.0 cm of the abdominal region containing the tumor, at wavelengths of 680, 700, 730, 750, 760, 770, 800, 850, 900 nm for each position using 20 averages/wavelength with acquisition time of 10 µsec/frame to minimize the influence of animal movement in the images (Kimbrough et al. 2015; Zeiderman et al. 2016). Slices were screened using a live preview multispectral signal (MSP). Respiration rate and signs of distress were monitored through all stages of the imaging procedure. After MSOT imaging, animals were euthanized by CO2 overdose and cervical dislocation. Breast tumor, kidney, liver and spleen were removed and imaged using the AMI-HT as described below to confirm accumulation of the probe.
Image reconstruction and analysis
Reconstruction was performed using back-projection at a resolution of 75 µm and multispectral processing was performed using linear regression in the ViewMSOT software version 3.8 (iThera Medical) (Bhutiani et al. 2017). A ROI method was used to determine signal strength in the tumor, liver and kidney using ViewMSOT software and reported as MSOT a.u. The ROI for the osteopontin-750 probe intensity analysis was plotted over each organ according to the signal location as observed on MSOT and was kept constant for all image slices. The ROI analysis of osteopontin-750 probe was compared among organs using the ANOVA statistical test using SAS 9.3 software (SAS Institute, Cary, NC).
Organ analysis ex vivo using near infrared imaging
After MSOT imaging for 2.5 h (3 h post-injection of osteopontin-750), mice were euthanized and signal accumulation within the tumor was compared to nontarget organs, i.e., liver, kidney and spleen, using near infrared fluorescent imaging using AMI-HT. ROI analysis for each organ and each mouse was conducted using AMI-View software. Values were compared using ANOVA among mice and organs using SAS.
Results
Osteopontin probe binding was assessed by near infrared fluorescent imaging and flow cytometry. The osteopontin-750 probe exhibited uptake in both the triple negative and HER2 positive breast cancer cells; uptake was significantly greater in the triple negative cells compared to the HER2 positive cells (Figure 1). The osteopontin probe exhibited significant binding in both MDA-MB-468 (25.7 ± 2.5, p = 0.016 ) and MDA-MB-231 cells (27.6 ± 5.4, p = 0.0337) compared to control CaOv3 cells (0.4 ± 3.0) measured by flow cytometry in vitro (Figure 2).
Both near infrared fluorescence and MSOT imaging in vivo exhibited significant accumulation of osteopontin-750 within the tumor (Figures 3–6). Furthermore, the tomographic capability of the MSOT device enabled detection of biodistribution of the osteopontin-750 probe in a three dimensional orientation; accumulation appeared to be significantly greater in the tumor than in nontarget organs (Figure 3).
To localize probe signal precisely and to assess its relation to adjacent structures, cross-sectional images were obtained from 0.3 mm slices that included the tumor bed, liver and kidneys (Figures 4–5). ROI analysis was performed for all stacked slices to generate comparisons of signal intensity in each organ over the length of the mouse. Osteopontin-750 accumulation for each of the three mice is shown in Figure 5. Peak accumulation occurred at 2.5 h and mean signal intensity in the tumor was 9.7 times greater within the tumor (average for three tumors = 557.1 a.u. than in kidney (57.3 a.u.) p = 0.0001 and 17 times greater within the tumor than in liver 32.1 a.u. (p = 0.0001).
After imaging, several mice were sacrificed at 3 h post-injection and near infrared fluorescent imaging was performed ex vivo to verify osteopontin-750 probe accumulation within organs. As anticipated, the osteopontin-750 probe accumulated specifically within the breast tumors in each of the three mice (Figures 3–6) compared to liver (p < 0.05) and the untargeted osteopontin-750 probe was cleared by the kidneys as demonstrated by a signal within the kidney that also appeared in the liver (Figures 4–6).
The ROI analysis of the osteopontin-750 probe signal intensity revealed a signal of 4.6 × 109 photons/sec in the tumor compared to kidney (4.7 × 108 photons/sec), liver (2.5 ×108 photons/sec) and spleen (2.0 × 108 photons/sec) (Figure 6).
Discussion
We labeled and identified breast cancers in vivo using a murine model and an osteopontin-based probe that was detectable using both optoacoustic and near infrared fluorescent imaging. Our findings in vitro confirmed our findings in vivo that our probe accumulated selectively in the breast tumor. Although osteopontin-750 accumulated significantly within the breast tumor, the osteopontin-750 probe was cleared by the kidneys as evidenced by signal within the bladder and kidneys.
Our findings add to the body of evidence that MSOT can be used to detect breast cancer in both murine models (Quiros-Gonzalez et al. 2018) and humans (Becker et al. 2018; Diot et al. 2017). To our knowledge, ours is the first report of successful breast tumor identification using a ligand-based contrast agent in conjunction with MSOT imaging. Others have used osteopontin as a target for disease detection including models for evaluating an osteopontin-directed antibody to study cardiac atherosclerosis (Qiao et al. 2017) and an electrochemical RNA-aptasensor to evaluate osteopontin in the plasma of patients with recurrent or metastatic breast cancer (Meirinho et al. 2017).
We used MDA-MB-231 cell lines that exhibited an intermediate range of expression of osteopontin in vitro. Other investigators have reported that triple negative breast cancers, such as MDA-MB-231, exhibit elevated levels of osteopontin; all human breast tumors that we used demonstrated some level of expression of this protein (Wang et al. 2008). A possible potential advantage of using an osteopontin label is that it does not rely on human epidermal growth factor-2 receptor (HER2) or hormone receptors, both of which have important predictive value for breast cancer, but are expressed only in subsets of patients. A protein with nearly ubiquitous distribution would enable assessment of the full spectrum of breast cancers, including triple negative breast cancer as well as metastatic disease, where different sites can develop over time and often demonstrate heterogeneous hormone and HER2 receptor status (Paoletti et al. 2018; Fribbens et al. 2018).
Our findings demonstrated the potential to bind a near infrared fluorescent molecule to an osteopontin targeting probe for breast tumor detection by both MSOT and near infrared fluorescence imaging. This technique also has promise for tumor-specific delivery of therapeutic agents. Such a system could limit nontarget treatment toxicity in the manner of antibody-drug conjugates including trastuzumab emtansine and sacituzumab govitecan among others (Alley et al. 2010; Ocean et al. 2017).
It is important that the presence of osteopontin in breast cancer appears to be a negative prognostic marker (Zduniak et al. 2015; Xu et al. 2015); some investigators propose that inhibition of osteopontin is a promising therapeutic option for cancer treatment (Wei et al. 2017). Clearly, further study of osteopontin-labeled probes as possible therapeutic systems is warranted. One might also envision a co-labeled system that carries both diagnostic and therapeutic agents that enable concurrent treatment and response assessment.
Important limitations of our study include the fact that we evaluated limited numbers of triple negative and HER2 positive breast cancer cell lines. Future work should be directed toward confirming our results throughout the spectrum of breast cancers.
We report here the successful selective identification of breast tumors in vitro and in vivo using a fluorescent probe that targets osteopontin that is detected by MSOT. Systems such as these are potentially significant for diagnostic, surveillance and therapeutic advances in the care of patients with breast cancer.
Acknowledgments
Funding
This work was supported by NIH grants R01CA202350, R01CA205941, R01EB020125, and the Nealie Belk Stevens Fund for Breast Cancer Research.
Footnotes
Declaration of interest
The authors report no conflicts of interest. The authors alone are responsible for the content and writing of this paper.
Contributor Information
A Samykutty, Wake Forest School of Medicine, Department of Cancer Biology, 1 Medical Center Blvd, Winston-Salem, North Carolina 27157.
A Thomas, Wake Forest School of Medicine, Department of Internal Medicine, 1 Medical Center Blvd, Winston-Salem, North Carolina 27157.
M McNally, Wake Forest School of Medicine, Department of Cancer Biology, 1 Medical Center Blvd, Winston-Salem, North Carolina 27157.
A Chiba, Wake Forest School of Medicine, Department of Surgery, 1 Medical Center Blvd, Winston-Salem, North Carolina 27157.
LR McNally, Wake Forest School of Medicine, Department of Cancer Biology, 1 Medical Center Blvd, Winston-Salem, North Carolina 27157.
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