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Mapping of the three-dimensional lymphatic microvasculature in bladder tumours using light-sheet microscopy

British Journal of Cancer, 2018, Vol.118, pp.995-999 [Peer Reviewed Journal]

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  • Title:
    Mapping of the three-dimensional lymphatic microvasculature in bladder tumours using light-sheet microscopy
  • Author: Tanaka, Nobuyuki ; Kaczynska, Dagmara ; Kanatani, Shigeaki ; Sahlgren, Cecilia ; Mitura, Przemysław ; Stepulak, Andrzej ; Miyakawa, Ayako ; Wiklund, Peter ; Uhlén, Per
  • Contributor: Institute for Complex Molecular Systems
  • Found In: British Journal of Cancer, 2018, Vol.118, pp.995-999 [Peer Reviewed Journal]
  • Subjects: Oncology ; Cancer Research ; Journal Article ; Research Support, Non-U.S. Gov'T
  • Language: English
  • Description: Background: Cancers are heterogeneous and contain various types of irregular structures that can go undetected when examining them with standard two-dimensional microscopes. Studies of intricate networks of vasculature systems, e.g., the tumour lymphatic microvessels, benefit largely from three-dimensional imaging data analysis. Methods: The new DIPCO (Diagnosing Immunolabeled Paraffin-Embedded Cleared Organs) imaging platform uses three-dimensional light-sheet microscopy and whole-mount immunolabelling of cleared samples to study proteins and micro-anatomies deep inside of tumours. Results: Here, we uncovered the whole three-dimensional lymphatic microvasculature of formalin-fixed paraffin-embedded (FFPE) tumours from a cohort of 30 patients with bladder cancer. Our results revealed more heterogeneous spatial deviations in more advanced bladder tumours. We also showed that three-dimensional imaging could determine tumour stage and identify vascular or lymphatic system invasion with higher accuracy than standard two-dimensional histological diagnostic methods. There was no association between sample storage times and outcomes, demonstrating that the DIPCO pipeline could be successfully applied on old FFPE samples. Conclusions: Studying tumour samples with three-dimensional imaging could help us understand the pathological nature of cancers and provide essential information that might improve the accuracy of cancer staging.
  • Identifier: ISSN: ; ISSN: 0007-0920

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