Evidence map›Paper›PMID 39363341›Full record

ArticleCancer & metabolism2024

Pancreatic cancer tumor organoids exhibit subtype-specific differences in metabolic profiles.

Hassan A Ali, Joanna M Karasinska, James T Topham, Danisha Johal, Steve Kalloger, Andrew Metcalfe, Cassia S Warren, Anthony Miyagi, Lan V Tao, Maya Kevorkova and 6 more

Abstract read
In one paragraph

Article in Cancer & metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. The metabolic profiles of cancer stem cells.Stem cell research & therapy · 2026
    Review
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  5. Review
  6. Article
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  8. Review
  9. Article
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  12. Molecular Imaging: Unveiling Metabolic Abnormalities in Pancreatic Cancer.International journal of molecular sciences · 2025
    Review
  13. Article
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

16 authors.

Hassan A AliPancreas Centre BC, Vancouver, BC, Canada.
Joanna M KarasinskaPancreas Centre BC, Vancouver, BC, Canada.
James T TophamPancreas Centre BC, Vancouver, BC, Canada.
Danisha JohalDepartment of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, BC, Canada.
Steve KallogerPancreas Centre BC, Vancouver, BC, Canada.
Andrew MetcalfePancreas Centre BC, Vancouver, BC, Canada.
Cassia S WarrenPancreas Centre BC, Vancouver, BC, Canada.
Anthony MiyagiPancreas Centre BC, Vancouver, BC, Canada.
Lan V TaoPancreas Centre BC, Vancouver, BC, Canada.
Maya KevorkovaPancreas Centre BC, Vancouver, BC, Canada.
Shawn C ChafeDepartment of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC, Canada.
Paul C McDonaldDepartment of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC, Canada.
Shoukat DedharDepartment of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, BC, Canada.
Seth J ParkerDepartment of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, BC, Canada.
Daniel J Renouf *Pancreas Centre BC, Vancouver, BC, Canada.
David F Schaeffer *Pancreas Centre BC, Vancouver, BC, Canada. David.Schaeffer@vch.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPancreatic ductal adenocarcinoma (PDAC) is a highly aggressive disease characterized by complex metabolic rewiring that enables growth in changing nutrient availability and oxygen conditions. Transcriptome-based prognostic PDAC tumor subtypes, known as 'basal-like' and 'classical' subtypes are associated with differences in metabolic gene expression including genes involved in glycolysis. Tumor subtype-specific metabolism phenotypes may provide new targets for treatment development in PDAC, but their functional relevance has not been fully elucidated. We aimed to investigate differences in metabolic profiles and transcriptomes in tumor models derived from patients with basal-like and classical tumors.

methodsPatient-derived organoids (PDOs) were established from tumor biopsies collected from patients with metastatic PDAC, including three PDOs from basal-like and five PDOs from classical tumors. Metabolic analyses included assessment of differences in metabolic activity using Seahorse Glycolysis and Mito Stress tests and

resultsMetastatic PDAC PDOs showed subtype-specific differences in glycolysis and oxidative phosphorylation (OXPHOS). Basal-like tumor-derived PDOs had a lower baseline extracellular acidification rate, but higher glycolytic reserves and oxygen consumption rate (OCR) than classical tumor-derived PDOs. OCR difference was eliminated following treatment with UK-5099. In the

conclusionsOur findings point to distinct metabolic profiles in PDAC subtypes with basal-like tumor PDOs showing higher OXPHOS and sensitivity to MPC1 inhibition. Subtypes-specific metabolic vulnerabilities may be exploited for selective therapeutic targeting.

Indexed as

GlycolysisMetabolic profilingMPC1OrganoidsOXPHOSPDACPDAC tumor subtype

Identifiers

PMID39363341
PMCPMC11448267

What Socratic holds

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Registered trials

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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.