Evidence map›Paper›PMID 32429566›Full record

ArticleCancers2020

Metabolic Plasticity in Ovarian Cancer Stem Cells.

Alia Ghoneum, Daniela Gonzalez, Ammar Yasser Abdulfattah, Neveen Said

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 56 citations in OpenAlex.

  1. Review
  2. The metabolic profiles of cancer stem cells.Stem cell research & therapy · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Discovery andFrontiers in immunology · 2025
    Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Alternative splice variants of the mitochondrial fission proteinbioRxiv : the preprint server for biology · 2024
    Article
  15. Article
  16. Review
  17. Metabolic regulation of endothelial senescence.Frontiers in cardiovascular medicine · 2023
    Review
  18. Article
  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

4 authors at 2 institutions in 2 countries.

Alia GhoneumDepartments of Cancer Biology, Wake Forest University School of Medicine, Winston Salem, NC 27157, USA.
Daniela GonzalezDepartments of Cancer Biology, Wake Forest University School of Medicine, Winston Salem, NC 27157, USA.
Ammar Yasser AbdulfattahDepartments of Cancer Biology, Wake Forest University School of Medicine, Winston Salem, NC 27157, USA.
Neveen SaidDepartments of Cancer Biology, Wake Forest University School of Medicine, Winston Salem, NC 27157, USA.
Wake Forest University · USAtrium Health Wake Forest Baptist · US

Funding

Regulation of Urinary Bladder Carcinogenesis and Progression by SPARCR01CA193437 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SAID, NEVEEN · 2016 to 2020
$1.8M
Redox Biology and Medicine Training ProgramT32GM127261 · NIGMS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI FURDUI, CRISTINA MARIA, POOLE, LESLIE B · 2018 to 2022
$975k
NCI NIH HHS R01 CA193437NCI NIH HHS R01CA193437NIGMS NIH HHS T32 GM127261NIGMS NIH HHS T32GM127261
6 · The paper itself

Abstract

Ovarian Cancer is the fifth most common cancer in females and remains the most lethal gynecological malignancy as most patients are diagnosed at late stages of the disease. Despite initial responses to therapy, recurrence of chemo-resistant disease is common. The presence of residual cancer stem cells (CSCs) with the unique ability to adapt to several metabolic and signaling pathways represents a major challenge in developing novel targeted therapies. The objective of this study is to investigate the transcripts of putative ovarian cancer stem cell (OCSC) markers in correlation with transcripts of receptors, transporters, and enzymes of the energy generating metabolic pathways involved in high grade serous ovarian cancer (HGSOC). We conducted correlative analysis in data downloaded from The Cancer Genome Atlas (TCGA), studies of experimental OCSCs and their parental lines from Gene Expression Omnibus (GEO), and Cancer Cell Line Encyclopedia (CCLE). We found positive correlations between the transcripts of OCSC markers, specifically CD44, and glycolytic markers. TCGA datasets revealed that

Indexed as

chemo-resistancemetabolic plasticityovarian cancerstem cells

Identifiers

PMID32429566
PMCPMC7281273
OpenAlexW3024628788

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.