Quantitative analysis of multiple breast cancer biomarkers using DNA-PAINT

Anal Methods. 2022 Sep 29;14(37):3671-3679. doi: 10.1039/d2ay00670g.

Abstract

Immunotherapy has become an efficient treatment method of breast cancer. Detection of proteins such as PD-L1 and CTLA-4, which are important immune checkpoint molecules, is attracting more and more attention as they play key roles in immunotherapy. Here, by combining the high resolution of DNA-PAINT (DNA points accumulation for imaging in nanoscale topography) with the qPAINT quantitative analysis method, accurate spatial localization and absolute quantification of PD-L1 and CTLA-4 on the membrane of breast cancer cells could be achieved. Meanwhile, exchange-PAINT was also conducted to count three other biomarkers (EpCAM, EGFR, and HER2). Simultaneous analysis of these biomarkers can greatly facilitate the differentiation of different kinds of breast cancer. Such a simple quantitative analysis method holds great potential in diagnosis and immunotherapy of cancers.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • B7-H1 Antigen* / genetics
  • B7-H1 Antigen* / metabolism
  • Biomarkers, Tumor
  • Breast Neoplasms* / diagnosis
  • Breast Neoplasms* / genetics
  • Breast Neoplasms* / metabolism
  • CTLA-4 Antigen / genetics
  • CTLA-4 Antigen / metabolism
  • DNA
  • Epithelial Cell Adhesion Molecule
  • ErbB Receptors
  • Female
  • Humans
  • Immune Checkpoint Proteins

Substances

  • B7-H1 Antigen
  • Biomarkers, Tumor
  • CTLA-4 Antigen
  • Epithelial Cell Adhesion Molecule
  • Immune Checkpoint Proteins
  • DNA
  • ErbB Receptors