Evidence map›Paper›PMID 39408832›Full record

ReviewInternational journal of molecular sciences2024

The Use of Patient-Derived Organoids in the Study of Molecular Metabolic Adaptation in Breast Cancer.

Natalija Glibetic, Scott Bowman, Tia Skaggs, Michael Weichhaus

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Metabolic Regulation of Ferroptosis in Breast Cancer.International journal of molecular sciences · 2025
    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

4 authors.

Natalija GlibeticLaboratory of Molecular Cancer Research, School of Natural Sciences and Mathematics, Chaminade University of Honolulu, Honolulu, HI 96816, USA.ORCID 0000-0001-8592-260X
Scott BowmanLaboratory of Molecular Cancer Research, School of Natural Sciences and Mathematics, Chaminade University of Honolulu, Honolulu, HI 96816, USA.ORCID 0009-0004-8622-5979
Tia SkaggsLaboratory of Molecular Cancer Research, School of Natural Sciences and Mathematics, Chaminade University of Honolulu, Honolulu, HI 96816, USA.
Michael WeichhausLaboratory of Molecular Cancer Research, School of Natural Sciences and Mathematics, Chaminade University of Honolulu, Honolulu, HI 96816, USA.ORCID 0000-0003-3743-8893

Funding

UH Hilo COP A&RP20GM103466 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI Peter R Hoffmann · 2012 to 2026
$60.3M
NIGMS NIH HHS P20 GM103466NIH HHS P20GM103466NSF NSF HRD-2217242
6 · The paper itself

Abstract

Around 13% of women will likely develop breast cancer during their lifetime. Advances in cancer metabolism research have identified a range of metabolic reprogramming events, such as altered glucose and amino acid uptake, increased reliance on glycolysis, and interactions with the tumor microenvironment (TME), all of which present new opportunities for targeted therapies. However, studying these metabolic networks is challenging in traditional 2D cell cultures, which often fail to replicate the three-dimensional architecture and dynamic interactions of real tumors. To address this, organoid models have emerged as powerful tools. Tumor organoids are 3D cultures, often derived from patient tissue, that more accurately mimic the structural and functional properties of actual tumor tissues in vivo, offering a more realistic model for investigating cancer metabolism. This review explores the unique metabolic adaptations of breast cancer and discusses how organoid models can provide deeper insights into these processes. We evaluate the most advanced tools for studying cancer metabolism in three-dimensional culture models, including optical metabolic imaging (OMI), matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI), and recent advances in conventional techniques applied to 3D cultures. Finally, we explore the progress made in identifying and targeting potential therapeutic targets in breast cancer metabolism.

Indexed as

Breast NeoplasmsOrganoidsTumor MicroenvironmentCell Culture Techniques, Three DimensionalFemaleHumansbreast cancerglycolysislipid metabolismMALDI-MSImetabolismoptical metabolic imagingorganoidtumor microenvironment

Identifiers

PMID39408832
PMCPMC11477048

What OpenQuestion 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 OpenQuestion graph.