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DCE-MRI-Derived Parameters in Evaluating Abraxane-Induced Early Vascular Response and the Effectiveness of Its Synergistic Interaction with Cisplatin

  • Xilin Sun,

    Affiliations Department of Radiology, the Fourth Hospital of Harbin Medical University, Harbin, Heilongjiang, China, Molecular Imaging Research Center of Harbin Medical University, Harbin, Heilongjiang, China

  • Lili Yang,

    Affiliation Molecular Imaging Research Center of Harbin Medical University, Harbin, Heilongjiang, China

  • Xuefeng Yan,

    Affiliations Department of Radiology, the Fourth Hospital of Harbin Medical University, Harbin, Heilongjiang, China, Molecular Imaging Research Center of Harbin Medical University, Harbin, Heilongjiang, China

  • Yingying Sun,

    Affiliations Department of Radiology, the Fourth Hospital of Harbin Medical University, Harbin, Heilongjiang, China, Molecular Imaging Research Center of Harbin Medical University, Harbin, Heilongjiang, China

  • Dongliang Zhao,

    Affiliations Department of Radiology, the Fourth Hospital of Harbin Medical University, Harbin, Heilongjiang, China, Molecular Imaging Research Center of Harbin Medical University, Harbin, Heilongjiang, China

  • Yang Ji,

    Affiliations Department of Radiology, the Fourth Hospital of Harbin Medical University, Harbin, Heilongjiang, China, Molecular Imaging Research Center of Harbin Medical University, Harbin, Heilongjiang, China

  • Kai Wang,

    Affiliations Department of Radiology, the Fourth Hospital of Harbin Medical University, Harbin, Heilongjiang, China, Molecular Imaging Research Center of Harbin Medical University, Harbin, Heilongjiang, China

  • Xiaoyuan Chen,

    Affiliation National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, Maryland, United States of America

  • Baozhong Shen

    shenbzh@vip.sina.com

    Affiliations Department of Radiology, the Fourth Hospital of Harbin Medical University, Harbin, Heilongjiang, China, Molecular Imaging Research Center of Harbin Medical University, Harbin, Heilongjiang, China

Correction

25 Aug 2023: Sun X, Yang L, Yan X, Sun Y, Zhao D, et al. (2023) Correction: DCE-MRI-Derived Parameters in Evaluating Abraxane-Induced Early Vascular Response and the Effectiveness of Its Synergistic Interaction with Cisplatin. PLOS ONE 18(8): e0290861. https://doi.org/10.1371/journal.pone.0290861 View correction

Abstract

Our previous studies revealed molecular alterations of tumor vessels, varying from immature to mature alterations, resulting from Abraxane, and demonstrated that the integrin-specific PET tracer 18F-FPPRGD2 can be used to noninvasively monitor such changes. However, changes in the tumor vasculature at functional levels such as perfusion and permeability are also important for monitoring Abraxane treatment outcomes in patients with cancer. The purpose of this study is to further investigate the vascular response during Abraxane therapy and the effectiveness of its synergistic interaction with cisplatin using Dynamic contrast enhanced-magnetic resonance imaging (DCE-MRI). Thirty MDA-MB-435 tumor mice were randomized into three groups: PBS control (C group), Abraxane only (A group), and sequential treatment with Abraxane followed by cisplatin (A-P group). Tumor volume was monitored based on caliper measurements. A DCE-MRI protocol was performed at baseline and day 3. The Ktrans, Kep and Ve were calculated and compared with CD31, α-SMA, and Ki67 histology data. Sequential treatment with Abraxane followed by cisplatin produced a significantly greater inhibition of tumor growth during the three weeks of the observation period. Decreases in Ktrans and Kep for the A and A-P groups were observed on day 3. Immunohistological staining suggested vascular remodeling during the Abraxane therapy. The changes in Ktrans and Kep values were correlated with alterations in the permeability of the tumor vasculature induced by the Abraxane treatment. In conclusion, Abraxane-mediated permeability variations in tumor vasculature can be quantitatively visualized by DCE-MRI, making this a useful method for studying the effects of early cancer treatment, especially the early vascular response. Vascular remodeling by Abraxane improves the efficiency of cisplatin delivery and thus results in a favorable treatment outcome.

Introduction

Abraxane (paclitaxel protein-bound particles for injectable suspension, Abraxis BioScience, Los Angeles, CA, Unite States) is a novel nanoparticle albumin-bound paclitaxel. It has been broadly used to treat advanced (metastatic) breast cancer [1, 2], squamous cell carcinoma of the oropharynx [3], advanced (metastatic) pancreatic cancer, advanced non-small cell lung cancer [4], and other cancers. To further improve the efficacy of weekly Abraxane in advanced (metastatic) cancer patients, combinations of Abraxane with other chemotherapeutic agents or biologics have been tested in several clinical studies [3]. These clinical trials showed that the combination of Abraxane and carboplatin or cisplatin has better short-term efficacy, a rapid therapy response, and manageable toxicity in breast cancer and lung squamous carcinoma [5, 6].

Of particular note is that recent studies investigating the mechanistic aspects of chemotherapy-induced angiogenesis showed that Abraxane can trigger reactionary angiogenesis [7]. This finding provides a strong mechanistic rationale for the combination of Abraxane therapy with carboplatin or cisplatin to enhance the tumor therapy response [710]. Because subtle and less predictable effects on tumor hemodynamics may lead to totally different therapeutic results, understanding the full activity of Abraxane in tumor vasculature is of vital importance in developing novel therapeutic strategies and choosing alternative therapies [11].

Our previous studies revealed tumor vessel maturation after Abraxane treatment, and 18F-FPPRGD2 (an integrin-specific PET tracer) can noninvasively monitor the integrin αvβ3 level over time [12]. However, the mechanism of Abraxane activity is very complex. The quantification of functional changes in the tumor vasculature, such as perfusion and permeability, is also very important for monitoring the Abraxane treatment outcome in patients with cancer [13]. The functional characteristics of the tumor vasculature are expected to affect the perfusion of contrast agent in the tumor, endothelial permeability and tissue volume fractions [14]. Dynamic contrast enhanced-magnetic resonance imaging (DCE-MRI) has been shown to be sensitive to changes in the physiological characteristics of tumor vasculature by providing quantifiable parameters, such as Ktrans (the volume transfer coefficient of contrast agent between the extracellular extravascular space (EES) and the blood plasma), Kep (a contrast agent backflux rate constant), Vp (plasma volume fraction), and Ve (extravascular extracellular volume fraction). These characteristics potentially enable the use of DCE-MRI to diagnose [15] and manage solid tumors, including therapeutic effect monitoring [16].

To further investigate the effect of Abraxane on angiogenesis and evaluate the therapeutic effects of novel therapeutic strategies, we examined the use of DCE-MRI to assess the vascular response (functional parameters such as permeability and penetration) during Abraxane therapy and the effectiveness of its synergistic interaction with cisplatin.

Materials and Methods

Animal and tumor models

Experiments performed in this study were approved by the Harbin Medical University animal ethics committee (Harbin Medical University, Harbin, China) and this study was carried out in strict accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health.

The MDA-MB-435 cell line was purchased from American Type Culture Collection (ATCC). MDA-MB-435 cells were cultured routinely in Leibovitz’s L-15 medium (Thermo Scientific, Beijing, China) supplemented with 10% Fetal calf serum (FCS, Thermo Scientific) under a 100% air atmosphere at 37°C. All cultures were passaged 2–3 times per week to maintain logarithmic growth. The MDA-MB-435 tumor model was established via the injection of 8×106 cells in the left mammary fat pad of athymic nude mice (female, 6 weeks, SLAC Laboratory Animal Co. LTD, Shanghai, China). Mice were housed in a clean facility with special conditions that include HEPA filtered ventilated cage systems, autoclaved bedding, autoclaved housing, autoclaved, water, irradiated food and special cage changing procedures. Mice were handled under aseptic conditions including the wearing of gloves, gowns and shoe coverings. Tumor diameters (a and b) were measured with clippers three times per week to follow tumor growth. Tumor volume was estimated as (a×b2)/2. Animals were monitored during the experimental procedure everyday and were sacrificed when tumors reached 2000 mm3. Mice were sacrificed by inhalation of CO2 from a pressurized tank in a mouse chamber. No animals died prior to the experimental endpoint.

MR imaging of MDA-MB-435 tumor-bearing mice

MR imaging of MDA-MB-435 tumor mice was conducted with a 3.0 T system (Philips, Netherlands) using an animal coil (Philips). During the MRI scans, all animals were anesthetized by inhaled isoflurane (1.5% in O2) at 2.0 LPM. A children’s scalp needle (size: 0.40; KDL Corp., China) was connected to a syringe to deliver gadoteridol (OmniscanTM, GE Healthcare, Oslo, Norway). The protocol included anatomical MR imaging as follows: a T2-weighted spin echo sequence (RARE) was performed before contrast agent injection with a field of view = 160 × 116 matrix and 40 × 40 × 26 mm, repetition time (TR)/echo time (TE) = 4,000/100 ms. A slice thickness of 2 mm with a 0.2 mm gap was used to cover the tumor region of interest (ROI). A gradient-echo multiflip-angle T1 map was produced before contrast agent injection with a field of view = 200 × 160 matrix, a 40 × 40 × 26 mm, TR/TE = 651/20 ms, NEX = 3, and flip angles of 10, 20, 30, 40, 50, 60, and 70°. A slice thickness of 2 mm with a 0.2 mm gap was used to cover the tumor ROI. The parameters of DCE-MRI were the same as those above, except the fixed flip angle was 30°. After eight baseline image scans, 0.2 ml/kg of gadoteridol (total injection volume, 0.15 ml) was injected (over a period of 15 s), and then 40 images were acquired.

Image processing and analysis

DCE-MRI data were analyzed using manufacturer-supplied software (DCE-Tool, Version 5.1, Philips Healthcare, Best, The Netherlands). The main principles were described by Zheng et al. [17]. DCE-MRI data were processed by 3 experienced radiologists. First, a pooled arterial input function (AIF, Fig 1A, Fig 1C), T10 value and Gd concentration were acquired from every mouse in this modeling procedure. Then, the software automatically calculated the resulting output maps, including Ktrans, Ve, Kep. Finally, on the basis of the Ktrans maps, ROIs covering the primary tumor and large vessels and liquefacient necrotic areas were excluded. Measurements were repeated 3–5 times to reduce the error, and the mean was estimated. The sizes of ROIs and the T10 values were also recorded.

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Fig 1.

A representative AIF within the right pulmonary artery (A) (long white arrow) in (C) using DCE-tool. Four time-intensity curves of the AIF (ROI-C) and tumor ROI (ROI-A, B, D) are shown in (B), using a T1 basic perfusion tool. Their corresponding ROI and size (ROI-A, B, C, D) are given in C and D. A and B demonstrate the consistency of AIF shape fitted with the extended Tolfts model.

https://doi.org/10.1371/journal.pone.0162601.g001

Experimental design

Thirty mice underwent baseline DCE-MRI (day 0) when the tumors reached a mean volume of 250±60 mm3. Then, the tumor-bearing mice were randomly divided into three groups (n = 10/group): C group, a control group receiving physiologic saline on days 0, 2, and 4; A group, intravenous injection of Abraxane at a dose of 25 mg/kg on days 0, 2, and 4; A-P group, pretreatment with Abraxane on days 0, 2, and 4 followed by cisplatin on days 1, 3, and 5. DCE-MRI was repeated on day 3. At each time point, one mouse from each group was sacrificed, and tumors were excised for histopathology.

Fluorescence staining and histologic analysis

After the mice were euthanized, tumors were harvested and frozen in liquid nitrogen. The tumor was cut into 5 μm thick slices. Samples were stained for mouse anti-human α-SMA (C6198, Sigma), rat anti-mouse CD31 antibody (550389, BD Biosciences), and rabbit anti-mouse Ki76 antibody (180191Z, Invitrogen, Grand Island, NY). All experiments were performed in duplicate and repeated twice. All images were analyzed using Image J software (Imaging Processing and Analysis in Java, NIH image, MD) version 1.48. Image J was used to assess α-SMA fluorescence intensity, vessel number, total DAPI-positive nuclei number, and Ki 67-positive nuclei number. The percentage of positive nuclei within the total number of nuclei was used to define the Ki-67 staining index (SI). For each tumor section, ten random high-power images (200× magnification or 400× magnification) were analyzed.

Statistical analysis

All quantitative data were expressed as means±SD. Statistical comparisons of sequence-dependent effects were conducted by ANOVA, and P values <0.05 were considered statistically significant.

Results

Therapeutic effect of Abraxane and its synergistic interaction with cisplatin on MDA-MB-435 tumors

To assess the function of different therapeutic schedules in inhibiting tumor growth, tumor size and body weight were measured in all groups for 3 weeks. Although all therapeutic schedules resulted in a reduction in tumor volume, the most efficacious against breast cancer was the combined Abraxane and cisplatin therapy. As shown in Fig 2A, for the first four days, Abraxane showed no marked inhibition of tumor growth until day 7. In comparison, the average tumor size of the A-P group became significantly smaller than that of the control group starting from day 2 (P<0.05). Continued tumor growth suppression was observed in the A-P group during the three-week observation period. Mouse body weight was monitored as an indicator of the toxicity of different therapeutic schedules. As clearly shown in Fig 2B, no therapeutic schedules had any observable side effects at the low doses used in this study.

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Fig 2. Antitumor effect of Abraxane and combination with Cisplatin in established MDA-MB-435 xenografts.

(A) Tumor growth curves under different treatments. *p < 0.05, C group vs. A group. # p < 0.05, C group vs. A-P group. (B) Body weight changes of mice subjected to different treatments.

https://doi.org/10.1371/journal.pone.0162601.g002

Effect of different therapy schemes on DCE-MRI-derived parameters

DCE-MRI data were acquired at day 0 (baseline, before treatment) and at day 3 after the treatment was started. Parametric maps of Ktrans, Kep and Ve for all groups are presented in Figs 3A, 4A and 5A, respectively. Histograms of Ktrans, Kep and Ve for each group are shown in Figs 3B, 4B and 5B, respectively. Little fluctuation of DCE-MRI-derived parameters was observed in the control mice on different days after tumor inoculation. Animals in the A and A-P groups showed significant decreases compared to those in the C group in terms of Ktrans (Fig 3) at day 3. The average absolute Ktrans values for these groups are listed in Table 1. The trend of Kep values is similar to that of Ktrans (Fig 4), and the average absolute Kep values for these groups are listed in Table 2. The Ve value increased in all the treatment groups compared to the C group, but no significant difference was found between the A group and A-P group at the post-treatment time points examined (Fig 5). The average absolute Ve values for these groups are listed in Table 3.

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Fig 3.

(A) Representative Ktrans parametric maps of female athymic nude mice bearing orthotopic MDA-MB-435 tumors on days 0 and 3 after different treatments were initiated. Decreased Ktrans values were observed on day 3 in both A and A-P groups. (B) Quantitative DCE-MRI region-of-interest analysis of Ktrans values. **, P < 0.01.

https://doi.org/10.1371/journal.pone.0162601.g003

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Fig 4.

(A) Representative Kep parametric maps of female athymic nude mice bearing orthotopic MDA-MB-435 tumors on days 0 and 3 after different treatments were initiated. Decreased Kep values were observed on day 3 in both A and A-P groups. (B) Quantitative DCE-MRI region-of-interest analysis of Kep values. **, P < 0.01; ***, P < 0.001.

https://doi.org/10.1371/journal.pone.0162601.g004

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Fig 5.

(A) Representative Ve parametric maps of female athymic nude mice bearing orthotopic MDA-MB-435 tumors on days 0 and 3 after different treatments were initiated. No significant change in Ve was found in A group and A-P group before and after treatment. (B) Quantitative DCE-MRI region-of-interest analysis of Ve values.

https://doi.org/10.1371/journal.pone.0162601.g005

The inhibitory effect of Abraxane and its synergistic interaction with cisplatin on MDA-MB-435 tumor-induced proliferation

The immunofluorescence of Ki67 was used to quantify cell proliferation in MDA-MB-435 tumor sections from all groups to evaluate whether Abraxane in combination with cisplatin enhanced regression. In the C group animals, tumors contained a large fraction of Ki67-positive cells. The percentage of Ki67-positive cells in MDA-MB-435 tumors in the control mice receiving PBS was 73±6%, which was unchanged throughout the experiment (Fig 6). In contrast, a significant delay in cell proliferation was observed in all the treatment groups compared with the C group at all post-treatment time points.

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Fig 6.

(A) Ex vivo Ki67 staining of tumor sections from PBS- and different treatment groups on days 0, 3, 7, 14, and 21. Green = Ki67; blue = DAPI. (B) Ki-67 SI calculated based on staining of MDA-MB-435 tumor sections from PBS- and different treatment groups on days 0, 3, 7, 14, and 21. *, P < 0.05; **, P < 0.01.

https://doi.org/10.1371/journal.pone.0162601.g006

Morphology of tumor vascularity modulated by Abraxane in combination with cisplatin

Strong CD31 staining was observed along the cell membranes of endothelial cells in all the tumor slices examined (Fig 7). There was a significant difference in morphology between the two treatment groups and the control group at different time points. The blood vessels in the control group were dilated and irregular, whereas those in the treated group tended to be small and regular. Based on CD31 immunofluorescence staining, we also quantified MVD in treated and control tumors. As shown in Fig 8, there was no obvious difference in MVD among the C group, A group and A-P group at different time points.

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Fig 7.

(A) Ex vivo CD31 staining of tumor sections from PBS- and different treatment groups on days 0, 3, 7, 14, and 21. Red = CD31; blue = DAPI. (B) Mean microvessel density calculated from CD31 staining.

https://doi.org/10.1371/journal.pone.0162601.g007

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Fig 8. Ex vivo α-SMA staining of tumor sections from PBS- and different treatment groups on days 0, 3, 7, 14, and 21.

Red = α-SMA

https://doi.org/10.1371/journal.pone.0162601.g008

To understand what causes vascular remodeling and changes in vascular permeability during and after therapy at the molecular level, smooth muscle actin (α-SMA) expression was evaluated with immunofluorescence staining (Fig 8). The stains with α-SMA revealed a difference in the distribution of vascular smooth muscle cells in the three groups. Fig 8 shows that the vessels in the C group are leakier, more dilated, more tortuous and have fewer vascular smooth muscle cells. In contrast, vessels of all the treatment groups show more prominent α-SMA immunoreactivity and greater coverage by vascular smooth muscle cells.

Discussion

Several clinical trials documented that Abraxane had improved efficacy and favorable safety in the treatment of recurrent or metastatic disease [3, 4]. It has also been shown to play an important role in inhibiting the migration of endothelial cells to anti-angiogenic cells both in vitro and in vivo [7]. However, the understanding of the pathophysiology of tumor vascularization and its change during anti-cancer therapy is incomplete. The current approach to quantifying tumor vasculature is mainly based on immunohistochemistry. The inherent anatomical and physiological heterogeneity of tumors, potential variability in the measurement method, multiple samples required at any given time, ethical and physical limitations [18], and other factors, are the main drawbacks that severely affect immunohistochemistry results and hinder the interpretation of the observed therapeutic effects.

The ability to non-invasively visualize and quantify tumor vasculature in vivo at a functional level will provide a new opportunity to understand the mechanism of angiogenesis, anti-tumor blood vascular treatment and treatment efficacy. Non-invasive imaging modalities include MRI, PET, SPECT, CT and optical imaging are rapidly emerging fields in investigating the structure and function of tumor microvasculature and microcirculation [1517]. MRI gives high special resolution, good soft tissue contrast and it can provide both anatomical and functional information, especially with the use of DCE-MRI technique, for quantitative and accurate analysis of tumor angiogenesis in real time[15,16]. In this study, we investigated the potential of DCE-MRI to accurately assess the vascular response of human mammary carcinomas to Abraxane treatment and the effectiveness of its synergistic interaction with cisplatin. Treatment with Abraxane in combination with cisplatin influenced the vascular characteristics of MDA-MB-435 xenografts, as shown by a significant decrease in Ktrans and Kep at day 3. Moreover, this reduction in Ktrans and Kep was not completely correlated with the caliper-measured tumor response. Significant inhibition of tumor growth was not observed until day 7 after therapy, which is later than can be detected by DCE-MRI. This finding indicates that DCE-MRI is able to detect early responses preceding clinical regression.

To confirm that variations in Ktrans and Kep reflect changes in vessel flow and permeability, immunohistochemical staining of CD31 and α-SMA was performed. Histological analysis of tumor tissue showed a significant change in the morphology of tumor vessels in both treatment groups. The diameter of the blood vessels in the PBS-treated group was larger, whereas that in all treated groups tended to be smaller. No significant difference in vessel density was observed in the treatment groups. More importantly, a significantly enhanced immunoreactivity of α-SMA and greater coverage by vascular smooth muscle cells on vessels were observed in the A and A-P groups over the PBS control group. This result suggests that Ktrans and Kep are sensitive enough to detect the changes in microvasculature 3 days after treatment; these morphological and functional alterations are mainly induced by Abraxane and appear to reflect vasculature normalization induced by the treatment [14].

The tumor vessel normalization and maturation caused by Abraxane improve the efficiency of cisplatin delivery. These improved conditions explain why continuous tumor growth suppression was observed in the A-P group, whereas tumor regrowth was found in the A group after the treatment was halted. Our observations are in accordance with previous findings [14, 19, 20]. These studies show that one of the indirect effects of taxanes is the inhibition of the expression of pro-angiogenic factors and VEGF. These effects may result in a remodeling of the cancer vasculature, improved conditions in the tumor, further treatment benefits, and reducing the progress of malignancy [14, 19, 20].

In DCE-MRI, the Ve value is the extravascular extracellular space (EES) volume fraction, and a proliferative index reduction will eventually lead to an increase in the size of the EES [15, 16]. Histological analysis showed a decreased percentage of Ki67-positive nuclei at days 3, 7 and 14 in all treated groups compared to the control. Although a slight increase in Ve values was found in treated groups at day 3, the change was statistically significant. Thus, Ve does not seem to be sensitive enough to detect the changes in the size of the extravascular extracellular space in this study.

However, There are limitations of this study. DCE-MR imaging of MDA-MB-435 tumor mice was conducted with a clinical 3.0 T system, not a small animal MR. Not only that, the tumor size was significantly reduced after given different therapeutic schedules in all treatment groups. Some tumor samples may be too small to reveal differences that may exist between the various therapeutic schedules during the DCE-MRI analysis and this finding could lead to a statistic bias in a small sample study [17, 21]. Therefore, high spatiotemporal resolution DCE-MRI protocol for clinical settings may need further development.

Conclusion

Our data illustrate that the variation in permeability in the vasculature induced by Abraxane could be quantitatively visualized by DCE-MRI, demonstrating this to be a useful method to study early treatment response in breast cancer. Ktrans and Kep values are promising MR imaging biomarkers that allow for the noninvasive evaluation of the vascular response to treatment before size changes can be found. These markers also have the potential to provide opportunities to adjust anticancer drug doses and intervals early enough to maintain a sustained anti-tumor effect and avoid relapse. Collectively, the histological results also support the mechanisms of action of Abraxane on tumor vasculature based on a change in morphological, functional and molecular characteristics, inducing transient "normalization" of the abnormal structure. Vascular remodeling by Abraxane improves the efficiency of cisplatin delivery, and the combination therapy is more effective than Abraxane alone.

Acknowledgments

We thank Mrs. Queenie Chan (Philips Healthcare, Hong Kong) for MR imaging protocol setting and the DCE-Tool training.

Author Contributions

  1. Conceived and designed the experiments: XLS XYC BZS.
  2. Performed the experiments: XLS LLY XFY YYS DLZ.
  3. Analyzed the data: YJ KW XYC.
  4. Wrote the paper: XLS.

References

  1. 1. Harries M, Ellis P, Harper P. Nanoparticle albumin-bound paclitaxel for metastatic breast cancer. J Clin Oncol. 2005; 23: 7768–7771. pmid:16204007
  2. 2. O'Shaughnessy J, Gradishar WJ, Bhar P, Iglesias J. Nab-paclitaxel for first-line treatment of patients with metastatic breast cancer and poor prognostic factors: a retrospective analysis. Breast Cancer Res Treat. 2013; 138: 829–837. pmid:23563958
  3. 3. Loong HH, Winquist E, Waldron J, Chen EX, Kim J, Palma D, et al. Phase 1 study of nab-paclitaxel, cisplatin and 5-fluorouracil as induction chemotherapy followed by concurrent chemoradiotherapy in locoregionally advanced squamous cell carcinoma of the oropharynx. Eur J Cancer. 2014; 50: 2263–2270. pmid:24953566
  4. 4. Rizvi NA, Riely GJ, Azzoli CG, Miller VA, Ng KK, Fiore J, et al. Phase I/II trial of weekly intravenous 130-nm albumin-bound paclitaxel as initial chemotherapy in patients with stage IV non-small-cell lung cancer. J Clin Oncol. 2008; 26: 639–643. pmid:18235124
  5. 5. Sun S, Tang L, Zhang J, Lv F, Wang Z, Wang L, et al. Cisplatin improves antitumor activity of weekly nab-paclitaxel in patients with metastatic breast cancer. Int J Nanomedicine. 2014; 9: 1443–1452. pmid:24672237
  6. 6. Fang Y, Wang L, Xia GH, Shi MQ. Clinical investigation of efficacy of albumin bound paclitaxel plus platinum compounds as first-line chemotherapy for stage III/IV squamous non-small cell lung cancer. Asian Pac J Cancer Prev. 2014; 15: 7453–7457. pmid:25227858
  7. 7. Volk LD, Flister MJ, Bivens CM, Stutzman A, Desai N, Trieu V, et al. Nab-paclitaxel efficacy in the orthotopic model of human breast cancer is significantly enhanced by concurrent anti-vascular endothelial growth factor A therapy. Neoplasia. 2008; 10: 613–623. pmid:18516298
  8. 8. Wang J, Lou P, Lesniewski R, Henkin J. Paclitaxel at ultra low concentrations inhibits angiogenesis without affecting cellular microtubule assembly. Anticancer Drugs. 2003; 14: 13–19. pmid:12544254
  9. 9. Gambini D, Visintin R, Locatelli E, Galassi B, Bareggi C, Runza L, et al. Paclitaxel-dependent prolonged and persistent complete remission four years from first recurrence of secondary breast angiosarcoma. Tumori. 2009; 95: 828–831. pmid:20210253
  10. 10. Myoung H, Hong SD, Kim YY, Hong SP, Kim MJ. Evaluation of the anti-tumor and anti-angiogenic effect of paclitaxel and thalidomide on the xenotransplanted oral squamous cell carcinoma. Cancer Lett. 2001; 163: 191–200. pmid:11165754
  11. 11. Yardley DA. nab-Paclitaxel mechanisms of action and delivery. J Control Release. 2013; 170: 365–372. pmid:23770008
  12. 12. Sun X, Yan Y, Liu S, Cao Q, Yang M, Neamati N, et al. 18F-FPPRGD2 and 18F-FDG PET of response to Abraxane therapy. J Nucl Med. 2011; 52: 140–146. pmid:21149494
  13. 13. Heath VL, Bicknell R. Anticancer strategies involving the vasculature. Nat Rev Clin Oncol. 2009; 6: 395–404. pmid:19424102
  14. 14. Jain RK. Normalization of tumor vasculature: an emerging concept in antiangiogenic therapy. Science. 2005; 307: 58–62. pmid:15637262
  15. 15. Yang Q, Li L, Zhang J, Shao G, Zheng B. A new quantitative image analysis method for improving breast cancer diagnosis using DCE-MRI examinations. Med Phys. 2015; 42: 103. pmid:25563251
  16. 16. Kaiser CG, Reich C, Dietzel M, Baltzer PA, Krammer J, Wasser K, et al. DCE-MRI of the breast in a stand-alone setting outside a complementary strategy—results of the TK-study. Eur Radiol. 2015; 25: 1793–1800. pmid:25577524
  17. 17. Zheng D, Chen Y, Chen Y, Xu L, Chen W, Yao Y, et al. Dynamic contrast-enhanced MRI of nasopharyngeal carcinoma: a preliminary study of the correlations between quantitative parameters and clinical stage. J Magn Reson Imaging. 2014; 39: 940–948. pmid:24108569
  18. 18. Hlatky L, Hahnfeldt P, Folkman J. Clinical application of antiangiogenic therapy: microvessel density, what it does and doesn't tell us. J Natl Cancer Inst. 2002; 94: 883–893. pmid:12072542
  19. 19. Jensen LR, Huuse EM, Bathen TF, Goa PE, Bofin AM, Pedersen TB, et al. Assessment of early docetaxel response in an experimental model of human breast cancer using DCE-MRI, ex vivo HR MAS, and in vivo 1H MRS. NMR Biomed. 2010; 23: 56–65. pmid:19650073
  20. 20. Loveless ME, Lawson D, Collins M, Nadella MV, Reimer C, Huszar D, et al. Comparisons of the efficacy of a Jak1/2 inhibitor (AZD1480) with a VEGF signaling inhibitor (cediranib) and sham treatments in mouse tumors using DCE-MRI, DW-MRI, and histology. Neoplasia. 2012; 14: 54–64. pmid:22355274
  21. 21. Riham H, Katarzyna J, Ihab R, Michael A, David A. 3 Tesla Dynamic Contrast Enhanced Magnetic Resonance Imaging of the Breast: Pharmacokinetic Parameters versus Conventional Kinetic Curve Analysis. AJR Am J Roentgenol. 2011 Dec; 197(6): 1498–1505.