Open Access Article
This Open Access Article is licensed under a
Creative Commons Attribution 3.0 Unported Licence

Novel dual-function near-infrared II fluorescence and PET probe for tumor delineation and image-guided surgery

Yao Sun ac, Xiaodong Zeng a, Yuling Xiao a, Changhao Liu b, Hua Zhu b, Hui Zhou a, Ziyang Chen a, Fuchun Xu d, Jule Wang d, Mengyue Zhu e, Junzhu Wu e, Mei Tian f, Hong Zhang f, Zixin Deng a, Zhen Cheng *b and Xuechuan Hong *ad
aState Key Laboratory of Virology, Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (MOE) and Hubei Province Engineering and Technology Research Center for Fluorinated Pharmaceuticals, Wuhan University School of Pharmaceutical Sciences, Wuhan 430071, China. E-mail: xhy78@whu.edu.cn
bMolecular Imaging Program at Stanford (MIPS), Bio-X Program, Department of Radiology, Stanford University, CA 94305, USA. E-mail: zcheng@stanford.edu
cKey Laboratory of Pesticides and Chemical Biology, Ministry of Education, College of Chemistry, Central China Normal University, Wuhan 430079, China
dMedical College, Tibet University, Lasa, 850000, China
eHubei Provincial Key Laboratory of Developmentally Originated Disease, Center for Experimental Basic Medical Education, Wuhan University, Wuhan 430071, China
fDepartment of Nuclear Medicine, The Second Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, China. E-mail: meitian@zju.edu.cn

Received 4th November 2017 , Accepted 27th December 2017

First published on 8th January 2018


Abstract

Accurate tumor identification is essential in cancer management. Incomplete excision of tumor tissue, however, negatively affects the prognosis of the patient. To accomplish radical excision of tumor tissue, radiotracers can be used that target tumor tissue and can be detected using a gamma probe during surgery. Intraoperative fluorescence imaging could allow accurate real-time tumor delineation. Herein, a novel dual-modal imaging platform using base-catalyzed double addition of thiols into a propiolamide scaffold has been developed, allowing for the highly efficient and selective assembly of various thiol units in a protecting-group-free manner. The first small-molecule based αvβ3-targeted NIR-II/PET probe 68Ga-SCH2 was concisely generated via this strategy and subsequently evaluated in mice bearing the U87MG xenograft. Excellent imaging properties such as good tumor uptake, high tumor contrast and specificity, tumor delineation and image-guided surgery were achieved in the small animal models. These attractive results of 68Ga-SCH2 allow it to be a promising αvβ3-targeted NIR-II/PET probe for clinical translation.


Introduction

Maximizing tumor excision and minimizing collateral damage are the primary goals of cancer surgery. Incomplete excision of tumor tissue, however, negatively affects the prognosis of the patient. Evidence from numerous experimental and clinical studies has demonstrated the significant benefits of molecular imaging in targeted surgery with preoperative molecular diagnostic screening, fluorescence image-guided surgery and postoperative imaging.1–5 So far only two small molecules, methylene blue and indocyanine green (ICG), have been approved by the FDA, emitting within the traditional NIR-I region (750–900 nm) and with the desirable features of rapid renal excretion and low toxicity.6,7 Despite their imaging qualities being superior to those of visible wavelengths in accurate real-time tumor delineation, photostability and the penetration depth of emitted light in biological tissues remain challenging. To address this limitation, fluorophores emitting within the second near-infrared region (NIR-II, 1000–1700 nm) show great promise. NIR-II probes possess high spatial resolution and deep-tissue penetration due to reduced photon scattering and diminished auto-fluorescence.8–13 At present, several classes of fluorescent NIR-II probes including small molecules,14–17 carbon nanotubes,18,19 Ag2S dots20,21 and polymers22 have been actively employed for NIR-II fluorescence for superior vascular imaging, cerebral imaging, lymphatic imaging and imaging-guided surgery.23,24

A surge in dual-modal instrumentation development for image-guided surgery and other clinical applications has sparked the discovery of more dual-modal contrast agents to clearly delineate the localization and expression of biochemical markers, and effectively track the tumor with high-resolution and high-sensitivity.2,4–6,25–37 Using dual-modality probes for sentinel lymph node mapping and image-guided surgery shows promising results in prostate cancer,28,35 breast cancer36 and head and neck cancer.37 Although radio-guided surgery and intraoperative fluorescence imaging are powerful techniques to improve accurate tumor detection and resection, they have their limitations. Specific radiotracers can be used that target tumor tissue and that can be detected using a gamma probe during surgery. Yet this technique cannot provide a precise delineation of the tumor and resection margins.25–37 The addition of a NIR-I fluorescent label could help to overcome this limitation. Intraoperative NIR-I fluorescence imaging could allow accurate real-time tumor delineation, but the penetration depth of emitted light in biological tissue is limited. There is no doubt that developing novel NIR-II dual-modal molecular probes for in vivo multimodal imaging applications thus has high significance and direct impact on the field of biomedicine. Although a variety of small-molecule based scaffolds have been successfully explored to construct NIR-I dual-modal imaging probes, widespread applications of these probes in molecular imaging and biomedicine are heavily hampered due to multiple-step synthetic challenges, tedious protection–deprotection strategies and low chemo-selectivity.28,38,39 Therefore, developing effective molecular platforms for the construction of dual-modal NIR-II probes with high chemo-selectivity is urgently demanded.

In a proof-of-concept study, a NIR-II and PET imaging dual-modality probe 68Ga-CHS2 (Fig. 1 and S1) for the first time has been concisely prepared via novel base-catalyzed thiol-yne chemistry for tumor delineation and image-guided surgery. Two thiolated units CH1055 and 68Ga-1,4,7-triazacyclononane-triacetic acid (NOTA) are controlled and integrated across a simple linear terminal alkyne such as propiolamide (PA) sequentially by base-induction. A variety of light-sensitive molecules (fluorescent probes and proteins) can be assembled straightforwardly and by-products such as disulfides can be minimized significantly.39 In this paper, a highly innovative method to improve the surgical resection of U87MG tumors in vivo has been demonstrated using an integrin αvβ3 targeted dual-label tracer that can be detected with a PET probe, and then with a fluorescence NIR-II camera during surgery.


image file: c7sc04774f-f1.tif
Fig. 1 A new strategy for the construction of NIR-II dual-modal imaging probes. (a) The previous photo-catalyzed thiol-yne reaction; (b) the approach discussed in the present work.

Results and discussion

Firstly, cysteamine (2-aminoethanethiol, CA or 2-AET) and benzylamine modified PA scaffolds 1 were chosen for optimization studies (Table 1). Interestingly, the mono-thiol-addition reaction was carried out spontaneously in moderate yield with high regio-selectivity (1a, entry 1, Fig. S1 and S2). However, the yields of mono-adducts (1a) were increased to 70–83% when DIPEA, NEt3 and DBU (0.10 equiv.) were applied (entries 3–5). The cis[thin space (1/6-em)]:[thin space (1/6-em)]trans ratios and isolated yields of 1a varied slightly in a variety of solvents and different carbon lengths of thiol substrates (C6 and C10) in the presence of DIPEA (entries 6–9, Fig. S5). Interestingly, the yield of 1a was significantly reduced to 5% when cysteamine hydrochloride was introduced instead of cysteamine (Table S1). Adding the radical scavenger TEMPO (10 equiv.) slightly reduced the yield of adducts suggesting a non-radical addition mechanism (entry 2). Therefore, a base-catalyzed thiol-addition mechanism is tentatively proposed (Fig. S3).40 The double-adduct 1b could be obtained solely in 67% yield in the presence of 1,5,7-triazabicyclo[4.4.0]dec-5-ene (TBD, 0.20 equiv.) with excess thiols for an extended period of time (entry 10, Fig. S4 and Table S2). The homo-dimer product N-benzyl-3,3-bis(benzylthio)propenamide (1e) or hetero-dimer adduct 3-((10-aminodecyl)thio)-3-((2-aminoethyl)thio)-N-benzylpropanamide (1f) can be controllably constructed by the double addition of benzyl mercaptan, or the subsequent addition of cysteamine and 10-aminodecane-1-thiol in 78% and 63% yields respectively (Fig. 1 and S6–S9). The cis and trans structures of mono-adducts and homo and heterodimer-adducts were all confirmed by ESI-MS and 1H/13C NMR analyses (see ESI).
Table 1 Base-catalyzed thiol-addition chemistry

image file: c7sc04774f-u1.tif

Entrya Catalyst t [min] Thiol (equiv.) Solvent Yieldb (%) Product
a Reaction conditions: [alkyne] = 0.25 M in solvents, catalyst = 0.1 or 0.2 equiv. b Isolated yield calculated on the basis of the starting alkyne and referred to the major products.
1 Spontaneous 30 1.0 eq. DMF 52 1a (cis[thin space (1/6-em)]:[thin space (1/6-em)]trans = 90[thin space (1/6-em)]:[thin space (1/6-em)]10)
2 TEMPO (10 equiv.) 30 1.0 eq. DMF 49 1a (cis[thin space (1/6-em)]:[thin space (1/6-em)]trans = 90[thin space (1/6-em)]:[thin space (1/6-em)]10)
3 NEt3 (0.1 equiv.) 30 1.0 eq. DMF 70 1a (cis[thin space (1/6-em)]:[thin space (1/6-em)]trans = 83[thin space (1/6-em)]:[thin space (1/6-em)]17)
4 DIPEA (0.1 equiv.) 30 1.0 eq. DMF 80 1a (cis[thin space (1/6-em)]:[thin space (1/6-em)]trans = 90[thin space (1/6-em)]:[thin space (1/6-em)]10)
5 DBU (0.1 equiv.) 30 1.0 eq. DMF 83 1a (cis[thin space (1/6-em)]:[thin space (1/6-em)]trans = 80[thin space (1/6-em)]:[thin space (1/6-em)]20)
6 DIPEA (0.1 equiv.) 30 1.0 eq. DCM 82 1a (cis[thin space (1/6-em)]:[thin space (1/6-em)]trans = 87[thin space (1/6-em)]:[thin space (1/6-em)]13)
7 DIPEA (0.1 equiv.) 30 1.0 eq. MeOH 85 1a (cis[thin space (1/6-em)]:[thin space (1/6-em)]trans = 85[thin space (1/6-em)]:[thin space (1/6-em)]15)
8 DIPEA (0.1 equiv.) 30 1.0 eq. THF 80 1a (cis[thin space (1/6-em)]:[thin space (1/6-em)]trans = 85[thin space (1/6-em)]:[thin space (1/6-em)]15)
9 DIPEA (0.1 equiv.) 30 1.0 eq. PBS/DMF (8.2) 80 1a (cis[thin space (1/6-em)]:[thin space (1/6-em)]trans = 87[thin space (1/6-em)]:[thin space (1/6-em)]13)
10 TBD (0.2 equiv.) 60 4.0 eq. DMF 67 1b


Further studies focused on the investigation of this methodology for the construction of molecular imaging probes. A variety of peptide-functional scaffolds [c(RGDfK)-PA (2a), AE105-PA (2b) and JMV594-PA (2c)] and thiol units [2-AET-NOTA (Y1), 2-AET-Cy5.5 (Y2) and 2-AET-CH1055 (Y3)] were prepared respectively (see ESI). As shown in Table 2, single modal integrin αvβ3-targeted PET (3a), NIR-I (3b) and NIR-II (3c) probes have been successfully generated with 58%, 60% and 60% yields respectively (entries 1–3). In order to expand the library of peptide-based NIR-II probes, novel AE105 and JMV594 peptide-based NIR-II probes (3d and 3e) were synthesized in 61% and 60% yields respectively (entries 4–5). Furthermore, treatment of the AE105-PA scaffold with 2-AET (4 equiv.) resulted in the formation of a double-adduct (4a) in 58% yield (entry 6). Finally, an integrin αvβ3-targeted NIR-I/PET probe (4b) was successfully prepared in 47% yield (entry 7).

Table 2 Base-catalyzed addition of various functional molecules into propiolamide-based scaffolds

image file: c7sc04774f-u2.tif

Entrya PA scaffoldsb Thiolc t [h] Product Yield (%)
a The catalyst DIPEA for entries 1–5; TBD for entries 6–7. b c(RGDfK) = cyclo (Arg-Gly-Asp-d-Phe-Lys); AE105 = Ac-Lys-Gly-Asp-Cha-Phe-(D)Ser-(D)Arg-Tyr-Leu-Trp-Ser-NH2; JMV594 = (D)Phe-Gln-Trp-Ala-Val-Gly-His-Sta-Leu-NH2. c 2-AET is 2-aminoethanethiol; NOTA is 2-S-(4-isothiocyanatobenzyl)-1,4,7-triazacyclononane-1,4,7-triacetic acid; Cy5.5 is cyanine 5.5.
1 R1 = c(RGDfK) (2a) 2-AET-NOTA (Y1) 1.5 R2 = 2-AET-NOTA (3a) 58
2 R1 = c(RGDfK) (2a) 2-AET-Cy5.5 (Y2) 1.5 R2 = 2-AET-Cy5.5 (3b) 60
3 R1 = c(RGDfK) (2a) 2-AET-CH1055 (Y3) 1.5 R2 = 2-AET-CH1055 (3c) 60
4 R1 = AE105 (2b) 2-AET-CH1055 (Y3) 1.5 R2 = 2-AET-CH1055 (3d) 61
5 R1 = JMV594 (2c) 2-AET-CH1055 (Y3) 1.5 R2 = 2-AET-CH1055 (3e) 60
6 R1 = AE105 (2b) 2-AET 2 R2 = R3 = 2-AET (4a) 58
7 R1 = c(RGDfK) (2a) 2-AET-NOTA (Y1), 2-AET-Cy5.5 (Y2) 2 R2 = 2-AET-NOTA, R3 = 2AET-Cy5.5 (4b) 47


In comparison with previous synthetic strategies, this approach demonstrated two major advantages: (1) the PA scaffold is very simple and available for controllable mono-thiol-addition or double-thiol-addition with high regio-selectivity (Table 2); (2) the reaction can tolerate a wide range of functional groups such as –NH2, –CO2H and –OH, and the protecting-group-free strategy can be easily realized for the integration of dual-modality probes in a simple and straightforward way.

The first peptide-based NIR-II/PET dual-modal imaging probe CHS2 was successfully generated via the above methodology. CHS2 was purified by HPLC and characterized by MALDI-TOF MS analysis [calcd for: C159H200N35O37S5+ ([M + H]+): 3351.3, found: m/z 3350.2 (Fig. S10)]. The UV-vis-NIR absorption band of the CHS2 probe was at 600–900 nm (Fig. S11). Meanwhile, the fluorescence emission spectrum of the CHS2 probe indicated a maximum wavelength at 1055 nm in PBS buffer (Fig. 2a and S12). The fluorescence quantum yield of the CHS2 probe was ∼0.20% in water, measured against an IR-26 reference with a nominal quantum yield of 0.5% under 785 nm excitation. CHS2 also exhibited high photostability in PBS, water and mouse serum with negligible decay under continuous excitation for 1 h (Fig. 2b). However, NIR-I probes such as ICG decayed ∼50% under the same conditions (Fig. 2c). Furthermore, the high viability of U87MG cell lines after 24 h incubation with different concentrations of CHS2 and natGa-CHS2 demonstrated the high biocompatibility of CHS2in vitro (Fig. 2d and S13). Briefly, CHS2 was then incubated with 68Ga [2 mCi] under mild conditions for 15 min according to a previously reported method,41 and purified by RP-HPLC resulting in over 95% purity (Fig. S14). The specific activity of 68Ga-CHS2 was determined to be ∼25 GBq μmol−1 and it demonstrated excellent stability in mouse serum (no release of 68Ga for 2 h). U87MG cells were chosen to investigate the specificity of 68Ga-CHS2 toward integrin αvβ3.42,43 As shown in Fig. S15,68Ga-CHS2 exhibited good uptake in U87MG cells. In the blocking group, the cells were incubated with 68Ga-CHS2 (1 μCi per well) and unlabeled RGD (2 μg per well) as a blocking agent, and the uptakes were significantly reduced, indicating that 68Ga-CHS2 can specifically bind to integrin αvβ3 receptors on U87MG cells. Thus, the properties of 68Ga-CHS2 warrant further in vivo applications.


image file: c7sc04774f-f2.tif
Fig. 2 (a) Fluorescence emission of CHS2 under 808 nm excitation; (b) photostability of CHS2 in water, PBS and serum under 808 nm laser illumination (105 mW cm−2) for 1 h; (c) photostability of ICG vs.CHS2 under 808 nm laser illumination (82 mW cm−2) for 1 h; (d) cellular toxicity of different concentrations of CHS2 in U87MG cell lines.

The nude mice bearing U87MG xenografts (n = 3) were injected with ∼85 μCi (1 nmol) of 68Ga-CHS2 and were imaged with micro-PET/CT and NIR-II separately. As shown in Fig. 3a and b, at different time points during the scan, the tumor could be clearly visualized on both PET and NIR-II images with a high signal to background ratio (T/N). The in vivo specificity of the dual-modal imaging probe was confirmed by the blocking experiment and the intensity of the tumor signals was significantly reduced after co-injection of unlabeled RGD (750 μg per mouse) for both PET and NIR-II imaging. The quantitative analysis of the PET images further revealed that the tumor uptake values of 68Ga-CHS2 were gradually increased from 0.5 to 1 h, and then reduced at 2 h after injection, with 0.77 ± 0.13, 2.48 ± 0.32 and 2.14 ± 0.27% ID g−1 at 0.5, 1 and 2 h, respectively (Fig. S16). In contrast, significantly lower tumor uptake values were observed for the blocking group with values of 0.32 ± 0.07, 0.28 ± 0.05 and 0.18 ± 0.04% ID g−1 at 0.5, 1 and 2 h, respectively. From the NIR-II imaging data, the U87MG tumor fluorescence signals were successfully reduced at later time points in the blocking group. The T/N ratios obtained by NIR-II imaging for CHS2 are shown in Fig. S17, and are proven to be much higher than those of the blocking group at all time points. Moreover, the highest tumor contrast was obtained at the 12 h time point with a T/N value of 4.77 ± 0.26, which is 2-fold more than previously reported NIR-I/RGD based probes.27 Biodistribution studies were evaluated for this dual-modal probe in major organs (Fig. S18 and S19). Pharmacokinetics of 68Ga-CHS2 demonstrated renal and hepatobiliary excretion, with a trace amount of CHS2 remaining in the kidney and liver for 60 h post-injection (PI) (Fig. S19 and S20). These results also matched well with PET and NIR-II imaging data. Thus, a powerful synergy can be achieved by combining radiotracers for the detection of tumor tissue, and NIR-II optical tracers for subsequent accurate delineation of tumor lesions and resection margins.


image file: c7sc04774f-f3.tif
Fig. 3 (a) The PET/CT images of U87MG-tumor-bearing mice (white arrows indicate the location of the tumor, n = 3 per group) acquired at 0.5, 1, and 2 h after tail vein injection of 68Ga-CHS2 with and without the blocking agent RGD. (b) NIR-II images of the U87MG tumor at 1, 3, 9, 12, and 24 h after tail vein injection of CHS2 with and without the blocking agent RGD under 808 nm excitation (82 mW cm−2), 1000 LP and 40 ms.

Encouraged by these promising results obtained in vivo PET/NIR-II images, CHS2 was further evaluated for subsequent precise and accurate delineation of tumor lesions, resection margins and image-guided surgery. U87MG tumor-bearing mice (n = 3) were injected with 100 μg of CHS2 and the tumor delineation could be notably identified from the surrounding background tissue at 4 h (Fig. S21). The T/N ratio reached 4.75 ± 0.22 at 12 h post-injection, and when the tumor was dissected and removed from the soft tissue in the leg region, the T/N ratio dropped to 1.16 ± 0.27, indicating that the tumor was thoroughly dissected (Fig. 4a–e). As NIR-II fluorescence image-guided surgery was carried out, all fluorescent surgical specimens including the whole tumor and para-cancerous tissues (marked as 1–4, right adjacent to the tumor tissue) were stained with hematoxylin and eosin assessed (Fig. 4f–l). Histological analysis of excised para-cancerous tissues at different magnifications has shown that the histological characteristics of cancer were not detected. The data further verified tumor delineation and resection margins, as well as fluorescence signals by NIR-II imaging (Fig. 4f–l). This way, tumor nodules that were missed by conventional surgery but were successfully detected by our fluorescent probe CHS2 can be analyzed to assess the sensitivity and specificity of the dual-modality intraoperative imaging approach at the histological level (Fig. 4). Our gamma probe activity measurements and NIR-II fluorescence imaging data obtained during surgery along with these hematoxylin–eosin staining results could lead to a reduced time of examination, which may aid the surgeon in making better decisions during the surgery.


image file: c7sc04774f-f4.tif
Fig. 4 (a–e) U87MG tumor delineation and image-guided surgery at 12 h after the tail vein injection of CHS2 under 808 nm excitation (82 mW cm−2), 1000 LP and 23 ms. (f) The tumor cells in this resected specimen were confirmed by high-power magnification (400×) of histological sections; (g) H&E-staining of the whole tumor. (h) The little muscle fibers marked as 1 were adjacent to the tumor tissue; (i) the brown band marked as 2 is the normal epithelium of the margin of the resected specimen; (j and k) the pink erythrocyte marked as 3 and 4 indicates the vessels in the margin of the tumor; (l) histological analysis of the excised para-cancerous tissue at 400× magnification. Cancer histologic characteristics were not detected in this para-cancerous tissue.

Conclusions

In summary, we have successfully developed a base-catalyzed strategy for the concise construction of an integrin αvβ3-targeted dual-modality imaging probe, 68Ga-CHS2, for tumor delineation and image-guided surgery. This probe has demonstrated excellent imaging characteristics in vivo and has high clinical and translational potential. Our highly innovative approach to obtain tumor-free resection margins or maximal cytoreduction using specific tumor targeting dual-label tracers that can be detected with a 68Ga probe and a fluorescence NIR-II camera during surgery will affect patient survival. Thus, our first targeted dual-modality NIR-II/PET image-guided surgery results show the potential to take oncological surgery one step further and may ultimately contribute to the improved survival of cancer patients.

All animal studies were performed in accordance with the Guidelines for the Care and Use of Laboratory Animals of the Chinese Animal Welfare Committee and approved by the Institutional Animal Care and Use Committee (IACUC), Wuhan University Center for Animal Experiment, Wuhan, China.

Author contributions

X. C. Hong and Z. Cheng conceived and designed the experiments. Y. Sun, X. D. Zeng, Y. L. Xiao, C. H. Liu, H. Zhu and H. Zhou performed the experiments. Z. Y. Chen, F. C. Xu, J. L. Wang, M. Y. Zhu, J. Z. Wu, M. Tian, H. Zhang, Z. X. Deng, Z. Cheng and X. C. Hong analyzed the data and wrote the manuscript. All authors discussed the results and commented on the manuscript.

Conflicts of interest

There are no conflicts to declare.

Acknowledgements

This work was partially supported by grants from the NSFC (81773674, 81573383, 21390402, 21204069, 21708012), 111 project B17019, the NSFHP (2017CFA024, 2017CFB711, 2017CFB151, 2016ACA126), ABRPSTCS (SYG201521), NSFJP (BK20160387), the Shenzhen Science and Technology Research Grant (JCYJ20170303170809222), the Office of Science (BER), the U.S. Department of Energy (DE-SC0008397) and the NIH ICMIC grant P50 CA114747, and financially supported by self-determined research funds of CCNU from the colleges, basic research and operation of MOE (23020205170469) and the Wuhan Morning Light Plan of Youth Science and Technology (201705304010321).

Notes and references

  1. G. S. Hong, A. L. Antaris and H. J. Dai, Nat. Biomed. Eng., 2017, 1, 0010 CrossRef.
  2. C. A. Metildi, S. Kaushal, C. S. Snyder, R. M. Hoffman and M. Bouvet, J. Surg. Res., 2013, 179, 87–93 CrossRef PubMed.
  3. J. Liu, C. Chen, S. L. Ji, Q. Liu, D. Ding, D. Zhao and B. Liu, Chem. Sci., 2017, 8, 2782–2789 RSC.
  4. R. M. Hoffman, Nat. Rev. Cancer, 2015, 15, 451–452 CrossRef CAS PubMed.
  5. C. A. Metildi, S. Kaushal, C. R. Hardamon, C. S. Snyder, M. Pu, K. S. Messer, M. A. Talamini, R. M. Hoffman and M. Bouvet, J. Am. Coll. Surg., 2012, 215, 126–135 CrossRef PubMed.
  6. C. A. Metildi, S. Kaushal, M. Pu, K. A. Messer, G. A. Luiken, A. R. Moossa, R. M. Hoffman and M. Bouvet, Ann. Surg Oncol., 2014, 21, 1405–1411 CrossRef PubMed.
  7. A. L. Antaris, H. Chen, K. Cheng, Y. Sun, G. S. Hong, C. R. Qu, S. DIao, Z. X. Deng, X. M. Hu, B. Zhang, X. D. Zhang, O. K. Yaghi, Z. R. Alamparambil, X. C. Hong, Z. Cheng and H. J. Dai, Nat. Mater., 2016, 15, 235–242 CrossRef CAS PubMed.
  8. G. S. Hong, S. Diao, A. L. Antaris and H. J. Dai, Chem. Rev., 2015, 115, 10816–10906 CrossRef CAS PubMed.
  9. Z. H. Lei, X. R. Li, X. Luo, H. H. He, J. Zheng, X. H. Qian and Y. J. Yang, Angew. Chem., Int. Ed., 2017, 56, 2979–2983 CrossRef CAS PubMed.
  10. S. Zhu, Q. L. Yang, A. L. Antaris, J. Y. Yue, Z. R. Ma, H. Wang, W. Huang, H. Wan, J. Wang, S. Diao, B. Zhang, X. Y. Li, Y. T. Zhong, K. Yu, G. S. Hong, J. Luo, Y. Y. Liang and H. J. Dai, Proc. Natl. Acad. Sci. U. S. A., 2017, 114, 962–967 CrossRef CAS PubMed.
  11. E. D. Cosco, J. R. Caram, O. T. Bruns, D. Franke, R. A. Day, E. P. Farr, M. G. Bawendi and E. M. Sletten, Angew. Chem., Int. Ed., 2017, 56, 13126–13129 CrossRef CAS PubMed.
  12. Y. Feng, S. J. Zhu, A. L. Antaris, H. Chen, Y. L Xiao, X. W. Lu, L. L. Jiang, S. Diao, K. Yu, Y. Wang, S. H. Raya, J. Y. Yue, X. C. Hong, G. S. Hong, Z. Cheng, A. J. Hsueh and H. J. Dai, Chem. Sci., 2017, 8, 3703–3711 RSC.
  13. D. Yang, H. Wang, C. J. Sun, H. Zhao, K. Hu, W. R. Qin, R. Ma, F. Yin, X. Qin, Q. L. Zhang, Y. Y. Liang and Z. G. Li, Chem. Sci., 2017, 8, 6322–6326 RSC.
  14. Y. Sun, C. R. Qu, H. Chen, M. M. He, C. Tang, K. Q. Shou, S. Hong, M. Yang, Y. X. Jiang, B. B. Ding, Y. L. Xiao, L. Xing, X. C. Hong and Z. Cheng, Chem. Sci., 2016, 7, 6203–6207 RSC.
  15. Y. Sun, M. M. Ding, X. D. Zeng, Y. L. Xiao, H. P. Wu, H. Zhou, B. B. Ding, C. R. Qu, W. Hou, A. Er-bu, Y. J. Zhang, Z. Cheng and X. C. Hong, Chem. Sci., 2017, 8, 3489–3493 RSC.
  16. X. D. Zhang, H. Wang, A. L. Antaris, L. I. Li, S. Diao, R. Ma, A. Nguyen, G. S. Hong, Z. R. Ma, J. Wang, S. J. Zhu, J. M. Castellano, T. Wyss-Coray, Y. Y. Liang, J. Luo and H. J. Dai, Adv. Mater., 2016, 28, 6872–6879 CrossRef CAS PubMed.
  17. F. Ding, S. Chen, W. S. Zhang, Y. F. Tu and Y. Sun, Bioorg. Med. Chem., 2017, 25, 5179–5184 CrossRef CAS PubMed.
  18. G. S. Hong, J. C. Lee, J. T. Robinson, U. Raaz, L. M. Xie, N. F. Huang, J. P. Cooke and H. J. Dai, Nat. Med., 2012, 18, 1841–1846 CrossRef CAS PubMed.
  19. G. S. Hong, S. Diao, J. L. Chang, A. L. Antaris, C. X. Chen, B. Zhang, S. Zhao, D. N. Atochin, P. L. Huang, K. I. Andreasson, C. J. Kuo and H. J. Dai, Nat. Photonics, 2014, 8, 723–730 CrossRef CAS PubMed.
  20. G. S. Hong, J. T. Robinson, Y. J. Zhang, S. Diao, A. L. Antaris, Q. B. Wang and H. J. Dai, Angew. Chem., Int. Ed., 2012, 51, 9818–9821 CrossRef CAS PubMed.
  21. Y. Zhang, G. S. Hong, Y. J. Zhang, G. C. Chen, F. Li, H. J. Dai and Q. B. Wang, ACS Nano, 2012, 6, 3695–3702 CrossRef CAS PubMed.
  22. G. S. Hong, Y. P. Zhou, A. L. Antaris, S. Diao, D. Wu, K. Cheng, X. D. Zhang, C. X. Chen, B. Liu, Y. H. He, J. Z. Wu, J. Yuan, B. Zhang, Z. M. Tao, C. Fukunaga and H. J. Dai, Nat. Commun., 2014, 5, 4206 CAS.
  23. G. S. Hong, S. M. Tabakman, K. Welsher, Z. Chen, J. T. Robinson, H. L. Wang, B. Zhang and H. J. Dai, Angew. Chem., Int. Ed., 2011, 50, 4644–4648 CrossRef CAS PubMed.
  24. K. Q. Shou, C. R. Qu, Y. Sun, H. Chen, S. Chen, L. Zhang, H. B. Xu, X. C. Hong, A. X. Yu and Z. Cheng, Adv. Funct. Mater., 2017, 27, 1700995 CrossRef.
  25. Y. Liu, Y. Yang, M. Sun, M. Cui, Y. Fu, Y. Lin, Z. Li and L. Nie, Chem. Sci., 2017, 8, 2710–2716 RSC.
  26. A. Louie, Chem. Rev., 2010, 110, 3146–3195 CrossRef CAS PubMed.
  27. Y. Sun, X. Ma, K. Cheng, B. Wu, J. Duan, H. Chen, L. Bu, R. Zhang, X. Hu, Z. Deng, L. Xing, X. Hong and Z. Cheng, Angew. Chem., Int. Ed., 2015, 54, 5981–5984 CrossRef CAS PubMed.
  28. L. Sun, J. Ding, W. Xing, Y. Gai, J. Sheng and D. Zeng, Bioconjugate Chem., 2016, 27, 1200–1204 CrossRef CAS PubMed.
  29. S. Lutje, M. Rijpkema, G. M. Franssen, G. Fracasso, W. Helfrich, A. Eek, W. Oyen, M. Colombatti and O. Boerman, J. Nucl. Med., 2014, 55, 995–1001 CrossRef CAS PubMed.
  30. Y. Gai, G. Xiang, X. Ma, W. Hui, Q. Ouyang, L. Sun, J. Ding, J. Sheng and D. X. Zeng, Bioconjugate Chem., 2016, 27, 515–520 CrossRef CAS PubMed.
  31. T. Murakami, Y. Hiroshima, Y. Zhang, M. Bouvet, T. Chishima, K. Tanaka, I. Endo and R. M. Hoffman, J. Surg. Oncol., 2015, 112, 119–124 CrossRef PubMed.
  32. E. Boros, A. M. Bowen, L. Josephson, N. Vasdevbe and J. P. Holland, Chem. Sci., 2015, 6, 225–236 RSC.
  33. T. Nakamura, F. Sugihara, H. Matsushita, Y. Yoshioka, S. Mizukamiab and K. Kikuchi, Chem. Sci., 2015, 6, 1986–1990 RSC.
  34. R. M. Hoffman and M. Yang, Nat. Protoc., 2006, 1, 1429–1438 CrossRef CAS PubMed.
  35. N. S. van den Berg, R. A. Valdés-Olmos, H. G. van der Poel and F. W. B. van Leeuwen, J. Nucl. Med., 2013, 54, 493–496 CrossRef PubMed.
  36. B. E. Schaafsma, F. P. R. Verbeek, D. D. D. Rietbergen, B. van der Hiel, J. R. van der Vorst, G. J. Liefers, J. V. Frangioni, C. J. H. van de Velde, F. W. B. van Leeuwen and A. L. Vahrmeijer, Br. J. Surg., 2013, 100, 1037–1044 CrossRef CAS PubMed.
  37. N. S. van den Berg, O. R. Brouwer, W. M. C. Klop, B. Karakullukcu, C. L. Zuur, I. B. Tan, A. J. M. Balm, M. W. M. van den Brekel, R. A. Valdés-Olmos and F. W. B. van Leeuwen, Eur. J. Nucl. Med. Mol. Imaging, 2012, 39, 1128–1136 CrossRef PubMed.
  38. W. Liu, G. Y. Hao, M. Long, T. Anthony, J. T. Hsieh and X. K. Sun, Angew. Chem., Int. Ed., 2009, 48, 7346–7349 CrossRef CAS PubMed.
  39. Y. H. Wang, Z. Miao, G. Ren, Y. D. Xu and Z. Cheng, Chem. Commun., 2014, 50, 12832–12835 RSC.
  40. V. X. Truong and A. P. Dove, Angew. Chem., Int. Ed., 2013, 52, 4132–4136 CrossRef CAS PubMed.
  41. M. Loft, Y. Sun, C. H. Liu, C. Christensen, D. J. Huang, A. Kjaer and Z. Cheng, Amino Acids, 2017, 49, 1089–1100 CrossRef CAS PubMed.
  42. M. Pfaff, K. Tangemann, B. Muller, M. Gurrath, G. Muller, H. Kessler, R. Timpl and J. Engel, J. Biol. Chem., 1994, 269, 20233–20238 CAS.
  43. Y. Sun, S. H. Hong, X. W. Ma, K. Cheng, J. Wang, Z. Zhang, M. Yang, Y. X. Jiang, X. C. Hong and Z. Cheng, Chem. Sci., 2016, 7, 5888–5892 RSC.

Footnotes

Electronic supplementary information (ESI) available. See DOI: 10.1039/c7sc04774f
These authors contributed equally to this work.

This journal is © The Royal Society of Chemistry 2018
Click here to see how this site uses Cookies. View our privacy policy here.