Scientific Reports (Aug 2017)

Quantitative diagnostic imaging of cancer tissues by using phosphor-integrated dots with ultra-high brightness

  • Kohsuke Gonda,
  • Mika Watanabe,
  • Hiroshi Tada,
  • Minoru Miyashita,
  • Yayoi Takahashi-Aoyama,
  • Takashi Kamei,
  • Takanori Ishida,
  • Shin Usami,
  • Hisashi Hirakawa,
  • Yoichiro Kakugawa,
  • Yohei Hamanaka,
  • Ryuichi Yoshida,
  • Akihiko Furuta,
  • Hisatake Okada,
  • Hideki Goda,
  • Hiroshi Negishi,
  • Kensaku Takanashi,
  • Masaru Takahashi,
  • Yuichi Ozaki,
  • Yuka Yoshihara,
  • Yasushi Nakano,
  • Noriaki Ohuchi

DOI
https://doi.org/10.1038/s41598-017-06534-z
Journal volume & issue
Vol. 7, no. 1
pp. 1 – 13

Abstract

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Abstract The quantitative sensitivity and dynamic range of conventional immunohistochemistry (IHC) with 3,3′-diaminobenzidine (IHC-DAB) used in pathological diagnosis in hospitals are poor, because enzyme activity can affect the IHC-DAB chromogenic reaction. Although fluorescent IHC can effectively increase the quantitative sensitivity of conventional IHC, tissue autofluorescence interferes with the sensitivity. Here, we created new fluorescent nanoparticles called phosphor-integrated dots (PIDs). PIDs have 100-fold greater brightness and a more than 300-fold greater dynamic range than those of commercially available fluorescent nanoparticles, quantum dots, whose fluorescence intensity is comparable to tissue autofluorescence. Additionally, a newly developed image-processing method enabled the calculation of the PID particle number in the obtained image. To quantify the sensitivity of IHC using PIDs (IHC-PIDs), the IHC-PIDs method was compared with fluorescence-activated cell sorting (FACS), a method well suited for evaluating total protein amount, and the two values exhibited strong correlation (R = 0.94). We next applied IHC-PIDs to categorize the response to molecular target-based drug therapy in breast cancer patients. The results suggested that the PID particle number estimated by IHC-PIDs of breast cancer tissues obtained from biopsy before chemotherapy can provide a score for predicting the therapeutic effect of the human epidermal growth factor receptor 2-targeted drug trastuzumab.