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1000 Titel
  • Exploring the effects of gut microbiota on cholangiocarcinoma progression by patient-derived organoids
1000 Autor/in
  1. Lederer, Ann-Kathrin |
  2. Görrissen, Nele |
  3. Nguyen, Tinh Thi |
  4. Kreutz, Clemens |
  5. Rasel, Hannah |
  6. Bartsch, Fabian |
  7. Lang, Hauke |
  8. Endres, Kristina |
1000 Verlag BioMed Central
1000 Erscheinungsjahr 2025
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2025-01-09
1000 Erschienen in
1000 Quellenangabe
  • 23(1):34
1000 Copyrightjahr
  • 2025
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12967-024-06012-x |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11716211/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>Recent research indicates a role of gut microbiota in development and progression of life-threatening diseases such as cancer. Carcinomas of the biliary ducts, the so-called cholangiocarcinomas, are known for their aggressive tumor biology, implying poor prognosis of affected patients. An impact of the gut microbiota on cholangiocarcinoma development and progression is plausible due to the enterohepatic circulation and is therefore the subject of scientific debate, however evidence is still lacking. This review aimed to discuss the suitability of complex cell culture models to investigate the role of gut microbiota in cholangiocarcinoma progression.</jats:p> </jats:sec><jats:sec> <jats:title>Main body</jats:title> <jats:p>Clinical research in this area is challenging due to poor comparability of patients and feasibility reasons, which is why translational models are needed to understand the basis of tumor progression in cholangiocarcinoma. A promising approach to investigate the influence of gut microbiota could be an organoid model. Organoids are 3D cell models cultivated in a modifiable and controlled condition, which can be grown from tumor tissue. 3D cell models are able to imitate physiological and pathological processes in the human body and thus contribute to a better understanding of health and disease.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusion</jats:title> <jats:p>The use of complex cell cultures such as organoids and organoid co-cultures might be powerful and valuable tools to study not only the growth behavior and growth of cholangiocarcinoma cells, but also the interaction with the tumor microenvironment and with components of the gut microbiota.</jats:p> </jats:sec>
1000 Sacherschließung
lokal Cholangiocarcinoma/microbiology [MeSH]
lokal Klatskin
lokal Disease Progression [MeSH]
lokal Organoids/pathology [MeSH]
lokal Bile Duct Neoplasms/microbiology [MeSH]
lokal Humans [MeSH]
lokal Organoids/microbiology [MeSH]
lokal Liver surgery
lokal Bile Duct Neoplasms/pathology [MeSH]
lokal Gastrointestinal Microbiome [MeSH]
lokal Organoids
lokal Models, Biological [MeSH]
lokal Animals [MeSH]
lokal Tissues
lokal Gastrointestinal microbiome
lokal Biliary tract cancer
lokal Neoplasm
lokal Cholangiocarcinoma/pathology [MeSH]
lokal Cell culture
lokal Bile duct
lokal Review
lokal Cholangiocarcinoma
lokal Cancer microenvironment
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-7984-9530|https://frl.publisso.de/adhoc/uri/R8O2cnJpc3NlbiwgTmVsZQ==|https://frl.publisso.de/adhoc/uri/Tmd1eWVuLCBUaW5oIFRoaQ==|https://frl.publisso.de/adhoc/uri/S3JldXR6LCBDbGVtZW5z|https://frl.publisso.de/adhoc/uri/UmFzZWwsIEhhbm5haA==|https://frl.publisso.de/adhoc/uri/QmFydHNjaCwgRmFiaWFu|https://frl.publisso.de/adhoc/uri/TGFuZywgSGF1a2U=|https://frl.publisso.de/adhoc/uri/RW5kcmVzLCBLcmlzdGluYQ==
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  • DeepGreen-ID: bfec8b914a2b4419958bdba04d515109 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Universitätsmedizin der Johannes Gutenberg-Universität Mainz |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Universitätsmedizin der Johannes Gutenberg-Universität Mainz |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6522366.rdf
1000 Erstellt am 2025-07-06T14:21:00.184+0200
1000 Erstellt von 322
1000 beschreibt frl:6522366
1000 Zuletzt bearbeitet 2025-07-31T15:21:08.987+0200
1000 Objekt bearb. Thu Jul 31 15:21:08 CEST 2025
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