Biliary Tract Cancer: A Molecular Challenge

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Cancer Biology and Oncology".

Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 2314

Special Issue Editor


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Guest Editor
University Hospital Dijon, University of Bourgogne-Franche-Comté, INSERM U 123-1, Dijon, France
Interests: digestive oncology; cancer screening; epidemiology; liver cancer; biliary tract cancer

Special Issue Information

Dear Colleague,

Biliary tract cancers are cancers with a very poor prognosis. Current treatments are not very effective.

These cancers are among those with the most molecular abnormalities, some of which are targetable, such as HDI1 mutations and FGFR fusion abnormalities. Research in this cancer naturally focuses on the development of treatments targeting these abnormalities.

Another promising therapeutic development path is immunotherapy with already many clinical trials underway.

Cancers of the intrahepatic bile ducts, extrahepatic bile duct and gallbladder have different molecular characteristics, different prognosis and different responses to treatments.

Improving the management of these cancers will necessarily require a better knowledge of molecular abnormalities and the development of targeted therapies.

These cancers being rare an international collaboration is necessary to quickly improve their management.

Dr. Sylvain Manfredi
Guest Editor

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Keywords

  • rare cancers
  • tumor molecular analysis
  • targeted therapy
  • immunotherapy
  • basket trial
  • umbrella trial
  • international collaboration

Published Papers (1 paper)

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Research

11 pages, 3090 KiB  
Article
Pixel-Level Clustering of Hematoxylin–Eosin-Stained Sections of Mouse and Human Biliary Tract Cancer
by Haruki Inoue, Eriko Aimono, Akiyoshi Kasuga, Haruto Tanaka, Aika Iwasaki, Hideyuki Saya and Yoshimi Arima
Biomedicines 2022, 10(12), 3133; https://doi.org/10.3390/biomedicines10123133 - 5 Dec 2022
Cited by 1 | Viewed by 2031
Abstract
We previously established mouse models of biliary tract cancer (BTC) based on the injection of cells with biliary epithelial stem cell properties derived from KRAS(G12V)-expressing organoids into syngeneic mice. The resulting mouse tumors appeared to recapitulate the pathological features of human BTC. Here [...] Read more.
We previously established mouse models of biliary tract cancer (BTC) based on the injection of cells with biliary epithelial stem cell properties derived from KRAS(G12V)-expressing organoids into syngeneic mice. The resulting mouse tumors appeared to recapitulate the pathological features of human BTC. Here we analyzed images of hematoxylin and eosin (H&E) staining for both the mouse tumor tissue and human cholangiocarcinoma tissue by pixel-level clustering with machine learning. A pixel-clustering model that was established via training with mouse images revealed homologies of tissue structure between the mouse and human tumors, suggesting similarities in tumor characteristics independent of animal species. Analysis of the human cholangiocarcinoma tissue samples with the model also revealed that the entropy distribution of cancer regions was higher than that of noncancer regions, with the entropy of pixels thus allowing discrimination between these two types of regions. Histograms of entropy tended to be broader for noncancer regions of late-stage human cholangiocarcinoma. These analyses indicate that our mouse BTC models are appropriate for investigation of BTC carcinogenesis and may support the development of new therapeutic strategies. In addition, our pixel-level clustering model is highly versatile and may contribute to the development of a new BTC diagnostic tool. Full article
(This article belongs to the Special Issue Biliary Tract Cancer: A Molecular Challenge)
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