Evidence map›Paper›PMID 28821788›Full record

ArticleScientific reports2017

Bioenergetic Adaptations in Chemoresistant Ovarian Cancer Cells.

Sajad Dar, Jasdeep Chhina, Ismail Mert, Dhananjay Chitale, Thomas Buekers, Hareena Kaur, Shailendra Giri, Adnan Munkarah, Ramandeep Rattan

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers.

0numbers the graph read from it
0cells of the map it votes in
118citing 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

118 citing papers in PubMed.

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  15. Paclitaxel resistance-associated metabolic events in ovarian cancer cells.Metabolomics : Official journal of the Metabolomic Society · 2025
    Article
  16. Article
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  18. Review
  19. Article
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58 more citing papers are in PubMed but not listed here.

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

9 authors.

Sajad DarDivision of Gynecology Oncology, Department of Women's Health Services, Henry Ford Health System, Detroit, MI, 48202, USA.
Jasdeep ChhinaDivision of Gynecology Oncology, Department of Women's Health Services, Henry Ford Health System, Detroit, MI, 48202, USA.
Ismail MertDepartment of Obstetrics and Gynecology, Wayne State School of Medicine, Detroit, MI, 48202, USA.
Dhananjay ChitaleDepartment of Pathology, Henry Ford Health System, Detroit, MI, 48202, USA.
Thomas BuekersDivision of Gynecology Oncology, Department of Women's Health Services, Henry Ford Health System, Detroit, MI, 48202, USA.
Hareena KaurDivision of Gynecology Oncology, Department of Women's Health Services, Henry Ford Health System, Detroit, MI, 48202, USA.
Shailendra GiriDepartment of Neurology, Henry Ford Health System, Detroit, MI, 48202, USA.
Adnan MunkarahDivision of Gynecology Oncology, Department of Women's Health Services, Henry Ford Health System, Detroit, MI, 48202, USA.
Ramandeep RattanDivision of Gynecology Oncology, Department of Women's Health Services, Henry Ford Health System, Detroit, MI, 48202, USA. rrattan1@hfhs.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Earlier investigations have revealed that tumor cells undergo metabolic reprogramming and mainly derive their cellular energy from aerobic glycolysis rather than oxidative phosphorylation even in the presence of oxygen. However, recent studies have shown that certain cancer cells display increased oxidative phosphorylation or high metabolically active phenotype. Cellular bioenergetic profiling of 13 established and 12 patient derived ovarian cancer cell lines revealed significant bioenergetics diversity. The bioenergetics phenotype of ovarian cancer cell lines correlated with functional phenotypes of doubling time and oxidative stress. Interestingly, chemosensitive cancer cell lines (A2780 and PEO1) displayed a glycolytic phenotype while their chemoresistant counterparts (C200 and PEO4) exhibited a high metabolically active phenotype with the ability to switch between oxidative phosphorylation or glycolysis. The chemosensitive cancer cells could not survive glucose deprivation, while the chemoresistant cells displayed adaptability. In the patient derived ovarian cancer cells, a similar correlation was observed between a high metabolically active phenotype and chemoresistance. Thus, ovarian cancer cells seem to display heterogeneity in using glycolysis or oxidative phosphorylation as an energy source. The flexibility in using different energy pathways may indicate a survival adaptation to achieve a higher 'cellular fitness' that may be also associated with chemoresistance.

Indexed as

Adaptation, BiologicalDrug Resistance, NeoplasmEnergy MetabolismAntineoplastic AgentsCell Line, TumorCisplatinFemaleGene Expression RegulationGlucoseGlycolysisHumansMitochondriaOvarian NeoplasmsAntineoplastic AgentsCisplatinGlucose

Identifiers

PMID28821788
PMCPMC5562731

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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.