Konugolu Venkata Sekar Sanathana, Ma Hui, Komolibus Katarzyna, Dumlupinar Gokhan, Mickert Matthias J, Krawczyk Krzysztof, Andersson-Engels Stefan
Biophotonics@Tyndall, IPIC, Tyndall National Institute, Lee Maltings Complex, Dyke Parade, T12R5CP, Cork, Ireland.
Department of Physics, University College Cork, College Road, Cork, T12 K8AF, Ireland.
Biomed Opt Express. 2024 Jan 19;15(2):900-909. doi: 10.1364/BOE.504939. eCollection 2024 Feb 1.
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.
乳腺癌是女性癌症死亡的第二大主要原因。目前的临床治疗分层方法为显著改善提供了一条途径,这可能通过活检免疫组织化学(IHC)评估的进展来实现。我们报告了一种高对比度上转换纳米颗粒(UCNP)标记,用于区分HER2对照颗粒阵列(CPA)和HER2阳性乳腺癌组织中不同水平的人表皮生长因子受体2(HER2)。在CPA上训练的简单傅里叶变换算法足以提供一种用于乳腺癌组织的半定量HER2评估工具。与阴性对照相比,UCNP标记的信号背景比为40。