High contrast breast cancer biomarker semi-quantification and immunohistochemistry imaging using upconverting nanoparticles.
Sanathana Konugolu Venkata SekarHui MaKatarzyna KomolibusGokhan DumlupinarMatthias J MickertKrzysztof KrawczykStefan Andersson-EngelsPublished in: Biomedical optics express (2024)
Breast cancer is the second leading cause of cancer death in women. Current clinical treatment stratification practices open up an avenue for significant improvements, potentially through advancements in immunohistochemistry (IHC) assessments of biopsies. We report a high contrast upconverting nanoparticles (UCNP) labeling to distinguish different levels of human epidermal growth factor receptor 2 (HER2) in HER2 control pellet arrays (CPAs) and HER2-positive breast cancer tissue. A simple Fourier transform algorithm trained on CPAs was sufficient to provide a semi-quantitative HER2 assessment tool for breast cancer tissues. The UCNP labeling had a signal-to-background ratio of 40 compared to the negative control.
Keyphrases
- epidermal growth factor receptor
- positive breast cancer
- magnetic resonance
- high resolution
- endothelial cells
- tyrosine kinase
- breast cancer risk
- primary care
- advanced non small cell lung cancer
- healthcare
- gene expression
- machine learning
- minimally invasive
- papillary thyroid
- squamous cell carcinoma
- polycystic ovary syndrome
- contrast enhanced
- deep learning
- mass spectrometry
- pregnant women
- magnetic resonance imaging
- pluripotent stem cells
- photodynamic therapy