AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Nano Biomedicine and Engineering Article
PDF (3.7 MB)
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Review | Open Access

Advances and Prospects of Nanotheranostic Technology for Gastric Cancer

Daxiang Cui1( ), Lijun Ma2, Xiao Zhi1, Chunlei Zhang1
Institute of Nano Biomedicine and Engineering, Shanghai Engineering Research Center for Intelligent Diagnosis and Treatment Instrument, Department of Instrument Science and Engineering, School of Electronic Information and Electronical Engineering, National Center for Translational Medicine, Collaborative Innovational Center for System Biology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, P. R. China
Department of Oncology, Shanghai Renji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Road, Shanghai 200127, P. R. China
Show Author Information

Abstract

Over the past few years, gastric cancer prewarning and early theranostic system have achieved great advances. Gastric cancer theranostic strategies still focus on prediction and prewarning of early gastric cancer, early diagnosis and molecular imaging directed operation therapy, enhanced immunotherapy and killing gastric cancer stem cells to overcome multidrug resistance (MDR). Here we review the main advances in this field over the past few years, explore the clinical translational prospects, and discuss the concepts, issues, approaches, and challenges, with the aim of stimulating a broader interest in developing gastric cancer prewarning and early theranostic system and promoting clinical translation.

Keywords

SensorNanoprobeBiomarkerTargeted therapyGastric cancerTargeted imaging

References

[1]

J. Ferlay, H.R. Shin, F. Bray, et al., Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int. J. Cancer, 2010, 127: 2893-2917.
Crossref Google Scholar
[2]

A. Jemal, F. Bray, M.M. Center, et al., Global cancer statistics. CA Cancer J. Clin., 2011, 61: 69-90.
Crossref Google Scholar
[3]

T. Takahashi, Y. Saikawa and Y. Kitagawa, Gastric cancer: current status of diagnosis and treatment. Cancers (Basel), 2013, 5: 48-63.
Crossref Google Scholar
[4]

B.J. Dicken, D.L. Bigam, C. Cass, et al., Gastric adenocarcinoma: review and considerations for future directions. Annals of Surgery, 2005, 241: 27-39.
Crossref Google Scholar
[5]

N. Uemura, S. Okamoto, S. Yamamoto, et al., Helicobacter pylori infection and the development of gastric cancer. New England Journal of Medicine, 2001, 345: 784-789
Crossref Google Scholar
[6]

R.L. Comis, S.K. Carter, A review of chemotherapy in gastric cancer. Cancer, 1974, 34: 1576-1586
Crossref Google Scholar
[7]

B.Z. Shen, Systems molecular imaging: right around the corner. Nano Biomed. Eng., 2014, 6: 1-5.
Crossref Google Scholar
[8]

S. Cheng, D. Cui, Accurate non-rigid registration of lung images based on mutual information. Nano Biomed. Eng., 2015, 7(4): 153-159.
Crossref Google Scholar
[9]

C.Y. Kuo, Y. Chao and C.P. Li, Update on treatment of gastric cancer. Journal of the Chinese Medical Association, 2014, 77(7): 345-353.
Crossref Google Scholar
[10]

I. Proserpio, S. Rausei, S. Barzaghi, et al., Multimodal treatment of gastric cancer. World Journal of Gastrointestinal Ssurgery, 2014, 6: 55-58
Crossref Google Scholar
[11]

D. Zhang, D. Fan, New insights into the mechanisms of gastric cancer multidrug resistance and future perspectives. Future Oncol., 2010, 6: 527-537.
Crossref Google Scholar
[12]

D. Cui, L. Zhang, X. Yan, et al., A microarray-based gastric carcinoma prewarning system. World J Gastroenterol, 2005, 11: 1273-1282.
Crossref Google Scholar
[13]

Y. Zhang, G. Gao, H. Liu, et al., Identification of volatile biomarkers of gastric cancer cells and ultrasensitive electrochemical detection based on sensing interface of Au-Ag alloy coated MWCNTs. Theranostics, 2014, 4: 154.
Crossref Google Scholar
[14]

K. Wang, J. Ruan, Q. Qian, et al., BRCAA1 monoclonal antibody conjugated fluorescent magnetic nanoparticles for in vivo targeted magnetofluorescent imaging of gastric cancer. J Nanobiotechnol, 2011, 9: 23.
Crossref Google Scholar
[15]

J. Ruan, H. Song, Q. Qian, et al., HER2 monoclonal antibody conjugated RNase-A-associated CdTe quantum dots for targeted imaging and therapy of gastric cancer. Biomaterials, 2012, 33: 7093-7102.
Crossref Google Scholar
[16]

X. Mou, T. Li, J. Wang, et al., Genetic variation of BCL2 (rs2279115), NEIL2 (rs804270), LTA (rs909253), PSCA (rs2294008) and PLCE1 (rs3765524, rs10509670) genes and their correlation to gastric cancer risk based on universal tagged arrays and Fe3O4 magnetic nanoparticles. Journal of Biomedical Nanotechnology, 2015, 11: 2057-2066.
Crossref Google Scholar
[17]

Y. Chen, Y. Zhang, F. Pan, et al., Breath analysis based on surface enhanced Raman scattering sensor distinguishes early and advanced gastric cancer patients from healthy persons. ACS Nano, 2016, 10(9): 8169–8179.
Crossref Google Scholar
[18]

Y. Xie, X. Zhi, H. Su, et al., A novel electrochemical microfluidic chip combined with multiple biomarkers for early diagnosis of gastric cancer. Nanoscale Res. Lett., 2015, 10: 477.
Crossref Google Scholar
[19]

L. Chen, C. Bao, C. Lei, et al., A prototype of giant magnetoimpedance-based biosensing system for targeted detection of gastric cancer cells. Biosensors & Bioelectronics, 2011, 26: 3246-3253.
Crossref Google Scholar
[20]

C. Bao, L. Chen, T. Wang, et al., One step quick detection of cancer cell surface marker by integrated NiFe-based magnetic biosensing cell cultural chip. Nano-Micro Letters, 2013, 5: 213-222
Crossref Google Scholar
[21]

Y. Liu, M. Yang, J. Zhang, et al., Human induced pluripotent stem cells for tumor targeted delivery of gold nanorods and enhanced photothermal therapy. ACS Nano, 2016, 10: 2375-2385.
Crossref Google Scholar
[22]

C. Bao, J. Conde, F. Pan, et al., Gold nanoprisms as a hybrid in vivo cancer theranostic platform for in situ photoacoustic imaging, angiography, and localized hyperthermia. Nano Research, 2016, 9: 1043-1056.
Crossref Google Scholar
[23]

C. Bao, J. Conde, J. Curtin, et al., Bioresponsive antisense DNA gold nanobeacons as a hybrid in vivo theranostics platform for the inhibition of cancer cells and metastasis. Sci. Rep., 2015, 12297.
Crossref Google Scholar
[24]

D. Shu, W.D. Moll, Z. Deng, et al., Bottom-up assembly of RNA arrays and superstructures as potential parts in nanotechnology. Nano Letters, 2004, 4: 1717-1723
Crossref Google Scholar
[25]

L. Qi, L. Wu, S. Zheng, et al., Cell-penetrating magnetic nanoparticles for highly efficient delivery and intracellular imaging of siRNA. Biomacromolecules, 2012, 13: 2723-2730.
Crossref Google Scholar
[26]

E.A. Murphy, B.K. Majeti, R. Mukthavaram, et al., Targeted nanogels: a versatile platform for drug delivery to tumors. Molecular Cancer Therapeutics, 2011, 10: 972-982.
Crossref Google Scholar
[27]

X. Yu, M.V. Pishko, Nanoparticle-based biocompatible and targeted drug delivery: characterization and in vitro studies. Biomacromolecules, 2011, 12: 3205-3212.
Crossref Google Scholar
[28]

J. Ma, Z. Zhou, C. Zhang, et al., Folic acid-conjugated LaF3:Yb,Tm@SiO2 nanoprobes for targeting dual-modality imaging of upconversion luminescence and X-ray computed tomography. Journal Physical Chemistry C, 2012, 116: 14062-14070.
Crossref Google Scholar
[29]

K.R. Kalli, A.L. Oberg, G.L. Keeney, et al., Folate receptor alpha as a tumor target in epithelial ovarian cancer. Gynecologic Oncology, 2008, 108: 619-626.
Crossref Google Scholar
[30]

S. Liang, C. Li, C. Zhao, et al., CD44v6 monoclonal antibody-conjugated gold nanostars for targeted photoacoustic imaging and plasmonic photothermal therapy of gastric cancer stem-like cells. Theranostics, 2015, 5: 879-881.
Crossref Google Scholar
[31]

S. Vinogradov, X. Wei, Cancer stem cells and drug resistance: The potential of nanomedicine. Nanomedicine (Lond), 2012, 7: 597-615.
Crossref Google Scholar
[32]

D. Zhang, D. Fan, New insights into the mechanisms of gastric cancer multidrug resistance and future perspectives. Future Oncol., 2010, 6: 527-537.
Crossref Google Scholar
[33]

M.F. Clarke, J.E. Dick, P.B. Dirks, et al., Cancer stem cells-perspectives on current status and future directions: Aacr workshop on cancer stem cells. Cancer Res., 2006, 66: 9339-9344.
Crossref Google Scholar
[34]

R.J. Gilbertson, T.A. Graham, Cancer: resolving the stem-cell debate. Nature, 2012, 488: 462-463.
Crossref Google Scholar
[35]

S. Takaishi, T. Okumura, S. Tu, et al., Identification of gastric cancer stem cells using the cell surface marker cd44. Stem Cells, 2009, 27: 1006-1020.
Crossref Google Scholar
[36]

D. Naor, R.V. Sionov, D. Ish-Shalom, Cd44: structure, function, and association with the malignant process. Adv Cancer Res., 1997, 71: 241-319.
Crossref Google Scholar
[37]

C. Zhang, C. Li, Y. Liu, et al., Folic acid/ce6 conjugated gold nanoclusters for NIR fluorescent imaging and photodynamic therapy with enhanced permission and retention. Adv. Fun. Mater., 2015, 28: 1314-1325.
Crossref Google Scholar
[38]

S. Cheng, D. Cui, Accurate non-rigid registration of lung images based on mutual information. Nano Biomed. Eng., 2015, 7(4): 153-159.
Crossref Google Scholar
[39]

F. Chen, P. Huang, Y. Zhu, et al., The photoluminescence, drug delivery and imaging properties of multifunctional Eu3+/Gd3+ dual-doped hydroxyapatite nanorods. Biomaterials, 2011, 32: 9031-9039.
Crossref Google Scholar
[40]

D. Zhang, D. Fan, New insights into the mechanisms of gastric cancer multidrug resistance and future perspectives. Future Oncol., 2010, 6: 527-537.
Crossref Google Scholar
[41]

M.F. Clarke, J.E. Dick, P.B. Dirks, et al., Cancer stem cells-perspectives on current status and future directions: AACR workshop on cancer stem cells. Cancer Res., 2006; 66: 9339-9344.
Crossref Google Scholar
[42]

E.F. Khisamutdinov, D.L. Jasinski and P. Guo, RNA as a boiling-resistant anionic polymer material to build robust structures with defined shape and stoichiometry. ACS Nano, 2014, 8: 4771-4781.
Crossref Google Scholar
[43]

D. Cui, C. Zhang, B. Liu, et al., Regression of gastric cancer by Systemic Injection of RNA Nanoparticles Carrying both Ligand and siRNA. Scientific Report, 2015, 5: 10732.
Crossref Google Scholar
[44]

X. Wang, L. Yang, Z. Chen, Application of nanotechnology in cancer therapy and imaging. CA Cancer J Clin., 2008, 58: 97-110.
Crossref Google Scholar
[45]

Y. Yang, J. Zhang, F. Xia, et al., Human CIK cells loaded with Au nanorods as a theranostic platform for targeted photoacoustic imaging and enhanced immunotherapy and photothermal therapy. Nanoscale Res. Lett., 2016, 11: 285.
Crossref Google Scholar
[46]

L. Lu, G. Yan, K. Zhao, et al., An implantable telemetry platform system with ASIC for in vivo monitoring of gastrointestinal physiological information. IEEE Sensors Journal, 2015, 12: 3524-3534.
Crossref Google Scholar
[47]

R. Weissleder, A clearer vision for in vivo imaging. Nat Biotechnol, 2001, 19: 316-317.
Crossref Google Scholar
[48]

B. Pan, D. Cui, P. Xu, et al., Synthesis and characterization of polyamidoamine dendrimer-coated multi-walled carbon nanotubes and their application in gene delivery systems. Nanotechnology, 2009, 20: 125101.
Crossref Google Scholar
[49]

P. Huang, C. Xu, J. Lin, et al., Folic acid-conjugated graphene oxide loaded with photosensitizers for targeting photodynamic therapy. Theranostics, 2011, 1: 240-250.
Crossref Google Scholar
[50]

Z. Li, P. Huang, X. Zhang, et al., RGD-conjugated dendrimer-modified gold nanorods for in vivo tumor targeting and photothermal therapy. Mol Pharm., 2010, 7: 94-104.
Crossref Google Scholar
[51]

L. Nie, X. Chen, Structural and functional photoacoustic molecular tomography aided by emerging contrast agents. Chem Soc Rev., 2014, 43: 7132-7170.
Crossref Google Scholar
[52]

I. Venugopal, S. Pernal, T. Fusinatto, et al., Quantum dot conjugated magnetic nanoparticles for targeted drug delivery and imaging. Nano Biomed. Eng., 2016, 8: 24-38.
Crossref Google Scholar
[53]

W. Li, X. Sun, Y. Wang, et al., In vivo quantitative photoacoustic microscopy of gold nanostar kinetics in mouse organs. Biomedical Optics Express, 2014, 5: 2679-2685.
Crossref Google Scholar
[54]

L. Nie, P. Huang, W. Li, et al., Early-stage imaging of nanocarrier-enhanced chemotherapy response in living subjects by scalable photoacoustic microscopy. ACS Nano, 2014, 8: 12141-12150.
Crossref Google Scholar
[55]

E.A. Sykes, J. Chen, G. Zheng, et al., Investigating the impact of nanoparticle size on active and passive tumor targeting efficiency. ACS Nano, 2014, 8: 5696-5706.
Crossref Google Scholar
Nano Biomedicine and Engineering
Volume 8 Issue 4,
December 2016
Pages 219-239
DOI: 10.5101/nbe.v8i4.p219-239
Cite this article:
Cui D, Ma L, Zhi X, et al. Advances and Prospects of Nanotheranostic Technology for Gastric Cancer. Nano Biomedicine and Engineering, 2016, 8(4): 219-239. https://doi.org/10.5101/nbe.v8i4.p219-239

261

Views

4

Downloads

5

Crossref

8

Scopus

Altmetrics
Received: 11 October 2016
Accepted: 04 November 2016
Published: 17 November 2016
© 2016 Daxiang Cui, Lijun Ma, Xiao Zhi and Chunlei Zhang.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Return