Evidence map›Paper›PMID 35633555›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2022

Metabolic Reprogramming and Lipophagy Mediates Survival of Ascites Derived Metastatic Ovarian Cancer Cells.

Sandeep Kumar S, Shalini N Swamy, Varadahally Rangaiah Devaraj, Chennagiri S Premalatha, V R Pallavi, Bk Chandrashekar Sagar, Dhananjay D Shinde, Ramesh Gawari

Open access · goldAbstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

10 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Autophagy in Ovarian Cancer, an Opportunity or an Additional Threat?International journal of molecular sciences · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Dysregulation of Cholesterol Homeostasis in Ovarian Cancer.Current oncology (Toronto, Ont.) · 2023
    Review
  9. Review
  10. 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

8 authors at 3 institutions in 2 countries.

Sandeep Kumar SDepartment of Biochemistry, Kidwai Memorial Institute of Oncology Dr.M.H.Marigowda Road Bangalore, India.ORCID 0000-0002-4105-6356
Shalini N SwamyDepartment of Biochemistry, Kidwai Memorial Institute of Oncology Dr.M.H.Marigowda Road Bangalore, India.ORCID 00
Varadahally Rangaiah DevarajDepartment of Biochemistry, Bengaluru Central University, Bangalore, India.
Chennagiri S PremalathaDepartment of Pathology, Kidwai Memorial Institute of Oncology Dr.M.H.Marigowda raod Bangalore India.
V R PallaviDepartment of Gynecologic Oncology, Kidwai Memorial Institute of Oncology, Bangalore, India.
Bk Chandrashekar SagarDepartment of Neuropathology, National Institute of Mental Health and Neuro Sciences, Bangalore, India.
Dhananjay D ShindeDepartment of Pathology and Microbiology, University of Nebraska Medical Centre, Omaha, NE, USA.
Ramesh GawariDepartment of Biochemistry, Kidwai Memorial Institute of Oncology Dr.M.H.Marigowda Road Bangalore, India.
Kidwai Memorial Institute of Oncology · INNational Institute of Mental Health and Neurosciences · INUniversity of Nebraska Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe study was aimed at understanding the survival of metastatic ovarian cancer spheroids in the malignant ascites microenvironment.

methodsAll the assays were performed using aseptically collected patient samples. The cells were characterized for the expression of ovarian and cancer stem cell markers using immunocytochemistry. The presence of lipid in the primary metastatic cancer spheroids were confirmed by neutral fat staining using Oil Red-O and transmission electron microscopy. The mRNA expression of autophagy and lipid metabolism genes was analyzed using RT-PCR. The lipid content was analyzed using lipidomics analysis. Etomoxir and chloroquine were used to study the effect of inhibition of autophagy in the metastatic cells. The data were analyzed using appropriate statistical tools and a p-value <0.05 was considered to be statistically significant.

resultsMetastatic ovarian cancer spheroids exhibit cancer stem like properties and undergo a metabolic reprogramming when they disseminate from the primary tumor. We report here the accumulation of numerous cytoplasmic lipid droplets and lipophagic vesicles in the metastatic cells in contrast to their primary tumors. In addition we also report that these cells depend on lipophagy for the utilization of lipids rather than the conventional lipolytic pathway. The lipidomics analysis data reveals that the metastatic cells possess high levels of unsaturated fatty acids. We have also reported the occurrence of distinct accumulation of multiple nuclei in the patient derived metastatic cells. Inhibition of beta-oxidation and autophagic machinery using etomoxir and chloroquine resulted in cell death suggesting a potential mode to suppress metastatic cancer cells.

conclusionMetabolic reprogramming is a characteristic feature of the metastatic ovarian cancer cells that are persisting in the malignant ascites. Targeting of the metastatic by gaining an insight into the various metabolic and molecular changes that occur in the metastatic niche provides a promising therapeutic approach in management of the disease.

Indexed as

Genital Neoplasms, MaleOvarian NeoplasmsPeritoneal NeoplasmsAscitesAutophagyChloroquineFemaleHumansLipidsTumor MicroenvironmentChloroquineLipidsAutophagyCPT-1alipid dropletsMultinucleated cancer cellsUnsaturated fatty acids

Identifiers

PMID35633555
PMCPMC9587889
OpenAlexW4281898641

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.