Evidence map›Paper›PMID 34650675›Full record

ReviewAmerican journal of translational research2021

Metabolic reprogramming in epithelial ovarian cancer.

Chalaithorn Nantasupha, Chanisa Thonusin, Kittipat Charoenkwan, Siriporn Chattipakorn, Nipon Chattipakorn

Open access · greenAbstract readReview
In one paragraph

Review in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

36 citing papers in PubMed, 32 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. A bioinformatics approach to identify potential biomarkers of high-grade ovarian cancer.Journal of the Turkish German Gynecological Association · 2026
    Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Subcellular Stress Markers in Epithelial Ovarian Cancer.International journal of molecular sciences · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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 at 1 institution in 1 country.

Chalaithorn NantasuphaDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Faculty of Medicine, Chiang Mai University Chiang Mai, Thailand.
Chanisa ThonusinCardiac Electrophysiology Unit, Department of Physiology, Faculty of Medicine, Chiang Mai University Chiang Mai, Thailand.
Kittipat CharoenkwanDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Faculty of Medicine, Chiang Mai University Chiang Mai, Thailand.
Siriporn ChattipakornCardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University Chiang Mai, Thailand.
Nipon ChattipakornCardiac Electrophysiology Unit, Department of Physiology, Faculty of Medicine, Chiang Mai University Chiang Mai, Thailand.
Chiang Mai University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer cells usually show adaptations to their metabolism that facilitate their growth, invasiveness, and metastasis. Therefore, reprogramming the energy metabolism is one of the current key foci of cancer research and treatment. Although aerobic glycolysis-the Warburg effect-has been thought to be the dominant energy metabolism in cancer, recent data indicate a different possibility, specifically that oxidative phosphorylation (OXPHOS) is the more likely form of energy metabolism in some cancer cells. Due to the heterogeneity of epithelial ovarian cancer, there are different metabolic preferences among cell types, study types (

Indexed as

Chemoresistancechemosensitivityepithelial ovarian cancerglycolysisoxidative phosphorylation

Identifiers

PMID34650675
PMCPMC8507042
OpenAlexW3206661776

What OpenQuestion holds

Textmetadata
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.