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Tissue clearing and 3D reconstruction of digitized, serially sectioned slides provide novel insights into pancreatic cancer

Authors :
Ashley L. Kiemen
Alexander Ioannis Damanakis
Alicia M. Braxton
Jin He
Daniel Laheru
Elliot K. Fishman
Patrick Chames
Cristina Almagro Pérez
Pei-Hsun Wu
Denis Wirtz
Laura D. Wood
Ralph H. Hruban
Johns Hopkins University (JHU)
University Hospital of Cologne [Cologne]
Johns Hopkins University School of Medicine [Baltimore]
Aix Marseille Université (AMU)
Centre de Recherche en Cancérologie de Marseille (CRCM)
Aix Marseille Université (AMU)-Institut Paoli-Calmettes
Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Institut Paoli-Calmettes
Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)
Source :
Med, Med, 2023, 4 (2), pp.75-91. ⟨10.1016/j.medj.2022.11.009⟩
Publication Year :
2023
Publisher :
Elsevier BV, 2023.

Abstract

International audience; Pancreatic cancer is currently the third leading cause of cancer death in the United States. The clinical hallmarks of this disease include abdominal pain that radiates to the back, the presence of a hypoenhancing intrapancreatic lesion on imaging, and widespread liver metastases. Technologies such as tissue clearing and three-dimensional (3D) reconstruction of digitized serially sectioned hematoxylin and eosin stained slides, can be used to visualize large (up to two to three-centimeter cube) tissues at cellular resolution. When applied to human pancreatic cancers, these 3D visualization techniques have provided novel insights into the basis of a number of the clinical hallmarks of this disease. Here we describe the clinical features of pancreatic cancer, review techniques for clearing and the 3D reconstruction of digitized microscope slides, and provide examples that illustrate how 3D visualization of human pancreatic cancer at the microscopic level has closed the gap between bench and bedside. Compared to animal models and 2D microscopy, studies of human tissues in 3D can reveal the difference between what can happen and what does happen in human cancers.

Details

ISSN :
26666340
Volume :
4
Database :
OpenAIRE
Journal :
Med
Accession number :
edsair.doi.dedup.....8089e09d077e7593a6f77425e82bb358
Full Text :
https://doi.org/10.1016/j.medj.2022.11.009