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

Mitura Przemysław; Miyakawa Ayako; Kanatani Shigeaki; Wiklund Peter; Uhlén Per; Stepulak Andrzej; Tanaka Nobuyuki; Sahlgren Cecilia; Kaczynska Dagmara

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

Mitura Przemysław
Miyakawa Ayako
Kanatani Shigeaki
Wiklund Peter
Uhlén Per
Stepulak Andrzej
Tanaka Nobuyuki
Sahlgren Cecilia
Kaczynska Dagmara
Katso/Avaa
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Nature Publishing Group
doi:10.1038/s41416-018-0016-y
URI
http://www.nature.com/articles/s41416-018-0016-y
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2021042719059
Tiivistelmä


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.

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