Evidence map›Paper›PMID 36321551›Full record

ArticleMolecular systems biology2022

Heterogeneity of the cancer cell line metabolic landscape.

David Shorthouse, Jenna Bradley, Susan E Critchlow, Claus Bendtsen, Benjamin A Hall

Abstract read
In one paragraph

Article in Molecular systems biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Biomarker Identification and Risk Prediction Model Development for Differentiated Thyroid Carcinoma Lung Metastasis Based on Primary Lesion Proteomics.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  11. Article
  12. Article
  13. Cancer metabolism and carcinogenesis.Experimental hematology & oncology · 2024
    Review
  14. Review
  15. Article
  16. 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

5 authors.

David ShorthouseDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK.ORCID 0000-0002-3207-3584
Jenna BradleyDiscovery Sciences, R&D, AstraZeneca, Cambridge, UK.ORCID 0000-0002-0073-4245
Susan E CritchlowBioscience, Oncology R&D, AstraZeneca, Cambridge, UK.
Claus BendtsenDiscovery Sciences, R&D, AstraZeneca, Cambridge, UK.
Benjamin A HallDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK.ORCID 0000-0003-0355-2946

Funding

Medical Research Council MR/S000216/1Medical Research Council MR/S000216/2
6 · The paper itself

Abstract

The unravelling of the complexity of cellular metabolism is in its infancy. Cancer-associated genetic alterations may result in changes to cellular metabolism that aid in understanding phenotypic changes, reveal detectable metabolic signatures, or elucidate vulnerabilities to particular drugs. To understand cancer-associated metabolic transformation, we performed untargeted metabolite analysis of 173 different cancer cell lines from 11 different tissues under constant conditions for 1,099 different species using mass spectrometry (MS). We correlate known cancer-associated mutations and gene expression programs with metabolic signatures, generating novel associations of known metabolic pathways with known cancer drivers. We show that metabolic activity correlates with drug sensitivity and use metabolic activity to predict drug response and synergy. Finally, we study the metabolic heterogeneity of cancer mutations across tissues, and find that genes exhibit a range of context specific, and more general metabolic control.

Indexed as

MetabolomicsNeoplasmsCell LineHumansMass SpectrometryMetabolic Networks and Pathwayscancerheterogeneitymetabolomicsmutation

Identifiers

PMID36321551
PMCPMC9627668

What OpenQuestion 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 OpenQuestion graph.