Quantitative analysis of mouse pancreatic ductal adenocarcinoma using FLIM on tissue sections

Jingwen Huang; Meilin Yang; Yiwan Song; Xiaoyu Liu; Zheng Peng; Mingzhu Liang; Zhen Lu; Jun Song; Dan Li; Xiao Peng

doi:10.1117/12.2651675

20 January 2023 Quantitative analysis of mouse pancreatic ductal adenocarcinoma using FLIM on tissue sections

Jingwen Huang, Meilin Yang, Yiwan Song, Xiaoyu Liu, Zheng Peng, Mingzhu Liang, Zhen Lu, Jun Song, Dan Li, Xiao Peng

Proceedings Volume 12560, AOPC 2022: Biomedical Optics; 1256006 (2023) https://doi.org/10.1117/12.2651675
Event: Applied Optics and Photonics China 2022 (AOPC2022), 2022, Beijing, China

Abstract

As one of the most fatal cancers, pancreatic cancer generated nearly a half million of new cases world-widely in 2021. The cure rate of pancreatic cancer is extremely low, whose five-year survival rate after surgery is less than 5%, leading to a great demand of early diagnosis. Currently, the aspiration biopsy with hematoxylin-eosin (H&E) staining is considered as one golden standard for clinical cancer diagnosis. However, the accuracy of the identification of the biopsy is unsatisfied, which is highly affected by the experience of doctors. Here, we have used fluorescence lifetime imaging microscopy (FLIM) method to analyze H&E stained sections, providing quantitative data for further identification. Mice were randomly selected, divided into the experimental group injected with pancreatic cancer cells and the control group. Then the pancreatic tissues of both groups were obtained and stained with H&E dye solution. Next, the sections were imaged with FLIM system, providing fluorescence lifetime data for analysis. The results showed that the average fluorescence lifetime value of normal tissues was around 30.5% less than that of cancerous tissues. Moreover, phasor plot software was applied to distinguish certain regions (such as desmoplasia), which were not identified in either the bright-field-image mode nor the fluorescence lifetime mode. In conclusion, FLIM technique on H&E stained sections has generated quantitative information to identify cancerous tissues as well as desmoplasia, leading to an improved diagnostic accuracy. This FLIM-based method in analyzing H&E stained sections has a high potential in further quantitative diagnosis of different types of cancers.

Citation Download Citation

Jingwen Huang, Meilin Yang, Yiwan Song, Xiaoyu Liu, Zheng Peng, Mingzhu Liang, Zhen Lu, Jun Song, Dan Li, and Xiao Peng "Quantitative analysis of mouse pancreatic ductal adenocarcinoma using FLIM on tissue sections", Proc. SPIE 12560, AOPC 2022: Biomedical Optics, 1256006 (20 January 2023); https://doi.org/10.1117/12.2651675

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KEYWORDS

Tissues

Luminescence

Fluorescence lifetime imaging

Pancreatic cancer

Tumors

Cancer

Pancreas

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