Evidence map›Paper›PMID 34631530›Full record

ReviewFrontiers in oncology2021

Mechanisms Governing Metabolic Heterogeneity in Breast Cancer and Other Tumors.

Sayani Patra, Naveed Elahi, Aaron Armorer, Swathi Arunachalam, Joshua Omala, Iman Hamid, Anthony W Ashton, David Joyce, Xuanmao Jiao, Richard G Pestell

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Targeting WEE1 Kinase for Breast Cancer Therapeutics: An Update.International journal of molecular sciences · 2025
    Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Phytochemicals Target Multiple Metabolic Pathways in Cancer.Antioxidants (Basel, Switzerland) · 2023
    Review
  14. Review
  15. Article
  16. A Basic Review on Estrogen Receptor Signaling Pathways in Breast Cancer.International journal of molecular sciences · 2023
    Review
  17. Review
  18. International journal of molecular sciences · 2023
    Article
  19. Article
  20. 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

10 authors.

Sayani PatraPensylvania Cancer and Regenerative Medicine Research Center, Baruch S. Blumberg Institute, Wynnewood, PA, United States.
Naveed ElahiPensylvania Cancer and Regenerative Medicine Research Center, Baruch S. Blumberg Institute, Wynnewood, PA, United States.
Aaron ArmorerPensylvania Cancer and Regenerative Medicine Research Center, Baruch S. Blumberg Institute, Wynnewood, PA, United States.
Swathi ArunachalamPensylvania Cancer and Regenerative Medicine Research Center, Baruch S. Blumberg Institute, Wynnewood, PA, United States.
Joshua OmalaPensylvania Cancer and Regenerative Medicine Research Center, Baruch S. Blumberg Institute, Wynnewood, PA, United States.
Iman HamidPensylvania Cancer and Regenerative Medicine Research Center, Baruch S. Blumberg Institute, Wynnewood, PA, United States.
Anthony W AshtonXavier University School of Medicine at Aruba, Oranjestad, Aruba.
David JoyceMedical School, Faculty of Health and Medical Sciences, The University of Western Australia, Crawley, WA, Australia.
Xuanmao JiaoPensylvania Cancer and Regenerative Medicine Research Center, Baruch S. Blumberg Institute, Wynnewood, PA, United States.
Richard G PestellPensylvania Cancer and Regenerative Medicine Research Center, Baruch S. Blumberg Institute, Wynnewood, PA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reprogramming of metabolic priorities promotes tumor progression. Our understanding of the Warburg effect, based on studies of cultured cancer cells, has evolved to a more complex understanding of tumor metabolism within an ecosystem that provides and catabolizes diverse nutrients provided by the local tumor microenvironment. Recent studies have illustrated that heterogeneous metabolic changes occur at the level of tumor type, tumor subtype, within the tumor itself, and within the tumor microenvironment. Thus, altered metabolism occurs in cancer cells and in the tumor microenvironment (fibroblasts, immune cells and fat cells). Herein we describe how these growth advantages are obtained through either "convergent" genetic changes, in which common metabolic properties are induced as a final common pathway induced by diverse oncogene factors, or "divergent" genetic changes, in which distinct factors lead to subtype-selective phenotypes and thereby tumor heterogeneity. Metabolic heterogeneity allows subtyping of cancers and further metabolic heterogeneity occurs within the same tumor mass thought of as "microenvironmental metabolic nesting". Furthermore, recent findings show that mutations of metabolic genes arise in the majority of tumors providing an opportunity for the development of more robust metabolic models of an individual patient's tumor. The focus of this review is on the mechanisms governing this metabolic heterogeneity in breast cancer.

Indexed as

aerobic glycolysisbreast cancerCyclin D1epigeneticsmetabolismPPAR-γreverse Warburg effectWarburg effect

Identifiers

PMID34631530
PMCPMC8495201

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.