• 文献标题:   Hybrid Graphene-Gold Nanoparticle-Based Nucleic Acid Conjugates for Cancer-Specific Multimodal Imaging and Combined Therapeutics
  • 文献类型:   Article, Early Access
  • 作  者:   YANG L, KIM TH, CHO HY, LUO J, LEE JM, CHUENG STD, HOU YN, YIN PTT, HAN JY, KIM JH, CHUNG BG, CHOI JW, LEE KB
  • 作者关键词:   graphene hybrid nanomaterial, multimodal cancer theragnostic, nanomedicine, nanoparticlebased nucleic acid conjugate, personalized medicine
  • 出版物名称:   ADVANCED FUNCTIONAL MATERIALS
  • ISSN:   1616-301X EI 1616-3028
  • 通讯作者地址:   Rutgers State Univ
  • 被引频次:   1
  • DOI:   10.1002/adfm.202006918 EA OCT 2020
  • 出版年:  

▎ 摘  要

Nanoparticle-based nucleic acid conjugates (NP-NACs) hold great promise for theragnostic applications. However, several limitations have hindered the realization of their full potential in the clinical treatment of cancer and other diseases. In diagnoses, NP-NACs suffer from low signal-to-noise ratios, while the efficiency of NP-NACs-mediated cancer therapies has been limited by the adaptation of alternative prosurvival pathways in cancer cells. The recent emergence of personalized and precision medicine has outlined the importance of having both accurate diagnosis and efficient therapeutics in a single platform. As such, the controlled assembly of hybrid graphene oxide/gold nanoparticle (Au@GO NP)-based cancer-specific NACs (Au@GO NP-NACs) for multimodal imaging and combined therapeutics is reported. The developed Au@GO NP-NACs show excellent surface-enhanced Raman scattering (SERS)-mediated live-cell cancer detection and multimodal synergistic cancer therapy through the use of photothermal, genetic, and chemotherapeutic strategies. Synergistic and selective killing of cancer cells are then demonstrated using in vitro microfluidic models. Moreover, with the distinctive advantages of the Au@GO NP-NACs for cancer theragnostics, precision cancer treatment through the detection of cancer cells in vivo using SERS followed by efficient ablation of tumors is shown. Therefore, the Au@GO NP-NACs can pave a new road for advanced disease theragnostics.