Scientific Reports (Nov 2023)

Advancing breast cancer diagnosis with a near-infrared fluorescence imaging smart sensor for estrogen/progesterone receptor detection

  • Gong Zhang,
  • Min Dong,
  • Xiulei Yao,
  • Yuke Xia,
  • Han Yu,
  • Yu zhou,
  • Chao Lian,
  • Yunlei Zhang,
  • Yiyao Cui

DOI
https://doi.org/10.1038/s41598-023-48556-w
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 13

Abstract

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Abstract Molecular-genetic imaging has greatly advanced clinical diagnosis and prognosis monitoring. However, the specific visualization of intracellular proteins such as estrogen receptor (ER) and progesterone receptor (PR) remains an elusive goal. Here, we highlight a novel method for selectively detecting ER/PR positive tumors using genetically engineered responsive elements. Our study demonstrates that the double responsive elements of ER/PR exhibit the most sensitivity to the steroid receptors in breast cancers. By utilizing a cationic polymer vector, we constructed a responsive element-fluorescence protein system that can selectively image ER/PR positive breast cancers in murine models under a near-infrared laser. This non-invasive imaging achieved high-resolution detection without death or serious anaphylactic activity in the animals. Our findings suggest that the reporter system consisting of steroid receptor response elements and near-infrared proteins provides a practical system for identifying biomarkers and advancing cancer diagnosis and therapy.