Evidence map›Paper›PMID 34921655›Full record

ArticleClinical & experimental metastasis2022

Defining the landscape of metabolic dysregulations in cancer metastasis.

Sara Abdul Kader, Shaima Dib, Iman W Achkar, Gaurav Thareja, Karsten Suhre, Arash Rafii, Anna Halama

Open access · hybridAbstract read
In one paragraph

Article in Clinical & experimental metastasis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.0field-weighted citation impact, top 29% of its field
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

15 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Molecular Basis of Breast Tumor Heterogeneity.Advances in experimental medicine and biology · 2025
    Review
  8. Review
  9. Article
  10. Glutamine addiction and therapeutic strategies in pancreatic cancer.World journal of gastrointestinal oncology · 2023
    Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. 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

7 authors at 3 institutions in 3 countries.

Sara Abdul Kader *Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, 24144, Doha, Qatar.
Shaima Dib *Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, 24144, Doha, Qatar.
Iman W AchkarDepartment of Physiology and Biophysics, Weill Cornell Medicine-Qatar, 24144, Doha, Qatar.
Gaurav TharejaDepartment of Physiology and Biophysics, Weill Cornell Medicine-Qatar, 24144, Doha, Qatar.
Karsten SuhreDepartment of Physiology and Biophysics, Weill Cornell Medicine-Qatar, 24144, Doha, Qatar.
Arash RafiiDepartment of Genetic Medicine, Weill Cornell Medicine, New York, USA.
Anna HalamaDepartment of Physiology and Biophysics, Weill Cornell Medicine-Qatar, 24144, Doha, Qatar. amh2025@qatar-med.cornell.edu.ORCID 0000-0003-4910-6255
Cornell University · USUniversité Paris-Saclay · FRWeill Cornell Medical College in Qatar · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastasis is the primary cause of cancer related deaths due to the limited number of efficient druggable targets. Signatures of dysregulated cancer metabolism could serve as a roadmap for the determination of new treatment strategies. However, the metabolic signatures of metastatic cells remain vastly elusive. Our aim was to determine metabolic dysregulations associated with high metastatic potential in breast cancer cell lines. We have selected 5 triple negative breast cancer (TNBC) cell lines including three with high metastatic potential (HMP) (MDA-MB-231, MDA-MB-436, MDA-MB-468) and two with low metastatic potential (LMP) (BT549, HCC1143). The normal epithelial breast cell line (hTERT-HME1) was also investigated. The untargeted metabolic profiling of cells and growth media was conducted and total of 479 metabolites were quantified. First we characterized metabolic features differentiating TNBC cell lines from normal cells as well as identified cell line specific metabolic fingerprints. Next, we determined 92 metabolites in cells and 22 in growth medium that display significant differences between LMP and HMP. The HMP cell lines had elevated level of molecules involved in glycolysis, TCA cycle and lipid metabolism. We identified metabolic advantages of cell lines with HMP beyond enhanced glycolysis by pinpointing the role of branched chain amino acids (BCAA) catabolism as well as molecules supporting coagulation and platelet activation as important contributors to the metastatic cascade. The landscape of metabolic dysregulations, characterized in our study, could serve as a roadmap for the identification of treatment strategies targeting cancer cells with enhanced metastatic potential.

Indexed as

Triple Negative Breast NeoplasmsCell Line, TumorHumansBranch chain amino acid metabolismMetabolic profilingMetastasisMetastatic potentialTCA cycleTriple negative breast cancer

Identifiers

PMID34921655
PMCPMC8971193
OpenAlexW4200517883

What OpenQuestion holds

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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.