Evidence mapPaperPMID 39329720Full record

ArticleCells2024

3D Modeling: Insights into the Metabolic Reprogramming of Cholangiocarcinoma Cells.

Giorgia Ciufolini, Serena Zampieri, Simona Cesaroni, Valentina Pasquale, Marcella Bonanomi, Daniela Gaglio, Elena Sacco, Marco Vanoni, Mirella Pastore, Fabio Marra and 3 more

Abstract read
In one paragraph

Article in Cells, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Organoids and spheroids: advancedFrontiers in cell and developmental biology · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Giorgia CiufoliniDepartment of Chemical Science and Technology, University of Rome "Tor Vergata", 00133 Rome, Italy.
Serena ZampieriDepartment of Chemical Science and Technology, University of Rome "Tor Vergata", 00133 Rome, Italy.
Simona CesaroniDepartment of Chemical Science and Technology, University of Rome "Tor Vergata", 00133 Rome, Italy.
Valentina PasqualeDepartment of Biotechnology and Biosciences, University of Milan-Bicocca, 20126 Milan, Italy.ORCID 0000-0002-1250-0825
Marcella BonanomiSYSBIO-ISBE-IT-Candidate National Node of Italy for ISBE, Research Infrastructure for Systems Biology Europe, 20126 Milan, Italy.
Daniela GaglioSYSBIO-ISBE-IT-Candidate National Node of Italy for ISBE, Research Infrastructure for Systems Biology Europe, 20126 Milan, Italy.ORCID 0000-0003-1217-7703
Elena SaccoDepartment of Biotechnology and Biosciences, University of Milan-Bicocca, 20126 Milan, Italy.ORCID 0000-0002-3190-7671
Marco VanoniDepartment of Biotechnology and Biosciences, University of Milan-Bicocca, 20126 Milan, Italy.ORCID 0000-0002-8690-2587
Mirella PastoreDepartment of Experimental and Clinical Medicine, University of Florence, 50121 Florence, Italy.ORCID 0000-0003-0938-3266
Fabio MarraDepartment of Experimental and Clinical Medicine, University of Florence, 50121 Florence, Italy.ORCID 0000-0001-8629-0878
Daniel Oscar CiceroDepartment of Chemical Science and Technology, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0001-5012-1714
Chiara RaggiDepartment of Experimental and Clinical Medicine, University of Florence, 50121 Florence, Italy.ORCID 0000-0003-2473-3535
Greta PetrellaDepartment of Chemical Science and Technology, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0002-9449-9820

Funding

Italian Association for Cancer Research IG23117
6 · The paper itself

Abstract

Developing accurate in vitro models that replicate the in vivo tumor environment is essential for advancing cancer research and therapeutic development. Traditional 2D cell cultures often fail to capture the complex structural and functional heterogeneity of tumors, limiting the translational relevance of findings. In contrast, 3D culture systems, such as spheroids, provide a more physiologically relevant context by replicating key aspects of the tumor microenvironment. This study aimed to compare the metabolism of three intrahepatic cholangiocarcinoma cell lines in 2D and 3D cultures to identify metabolic shifts associated with spheroid formation. Cells were cultured in 2D on adhesion plates and in 3D using ultra-low attachment plates. Metabolic exchange rates were measured using NMR, and intracellular metabolites were analyzed using LC-MS. Significant metabolic differences were observed between 2D and 3D cultures, with notable changes in central carbon and glutathione metabolism in 3D spheroids. The results suggest that 3D cultures, which more closely mimic the in vivo environment, may offer a more accurate platform for cancer research and drug testing.

Indexed as

CholangiocarcinomaSpheroids, CellularBile Duct NeoplasmsCell Culture TechniquesCell Line, TumorHumansMetabolic ReprogrammingModels, BiologicalTumor Microenvironmentcancer cell metabolismcholangiocarcinomaLC-MSmetabolomicsNMRspheroids

Identifiers

PMID39329720
PMCPMC11430555

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.