An activated excretion-retarded tumor imaging strategy towards metabolic organs

Da-Yong Hou1,2,3, Man-Di Wang3,4, Xing-Jie Hu3,5

  • 1Department of Urology, The Fourth Hospital of Harbin Medical University, Heilongjiang Key Laboratory of Scientific Research in Urology, Harbin, 150001, China.

Bioactive Materials
|March 21, 2022
PubMed

Insights

A novel activated excretion-retarded tumor imaging (AERTI) strategy enhances tumor visualization during surgery. This approach improves signal-to-noise ratio and retention time for better tumor resection in renal cell carcinoma and hepatocellular carcinoma.

Area of Science:

  • Biomedical imaging
  • Nanotechnology
  • Oncology

Background:

  • Intraoperative fluorescence imaging aids tumor resection but faces limitations in renal cell carcinoma (RCC) and hepatocellular carcinoma (HCC).
  • Existing contrast agents lack active targeting and have short tumor retention, reducing signal-to-noise ratio (SNR) and imaging windows.

Purpose of the Study:

  • To develop an activated excretion-retarded tumor imaging (AERTI) strategy for improved intraoperative visualization of RCC and HCC.
  • To enhance tumor-specific targeting, retention time, and SNR for safer oncological surgeries.

Main Methods:

  • Developed AERTI strategy with in situ activation by MMP-2 and self-assembly on tumor cell surfaces.
  • Engineered AERTI to selectively recognize Integrin αvβ3 and assemble into nanofibrillar structures upon MMP-2 cleavage.
  • Evaluated AERTI accumulation and imaging performance in 786-O and HepG2 xenograft and orthotopic models.

Main Results:

  • AERTI strategy demonstrated successful accumulation at tumor sites in both RCC and HCC models.
  • The modular design significantly enhanced the SNR of AERTI for orthotopic RCC and HCC imaging.
  • Achieved promoted excretion-retarded effect with extended tumor retention time and improved SNR.

Conclusions:

  • The AERTI strategy offers an effective approach for intraoperative tumor imaging in metabolic organs.
  • This strategy overcomes limitations of existing agents by improving targeting, retention, and SNR.
  • Confirmed the design advantages of AERTI for enhanced visualization in complex oncological surgeries.