Evidence map›Paper›PMID 26671576›Full record

ArticlePloS one2015

Oxidative Stress Resistance in Metastatic Prostate Cancer: Renewal by Self-Eating.

Jan Balvan, Jaromir Gumulec, Martina Raudenska, Aneta Krizova, Petr Stepka, Petr Babula, Rene Kizek, Vojtech Adam, Michal Masarik

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed, 29 citations in OpenAlex.

  1. Cell-cycle genes in the mussel Mytilus galloprovincialis are cued by aerial heat stress in a fluctuating tidal environment.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2026
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  13. Biological relevance of cell-in-cell in cancers.Biochemical Society transactions · 2019
    Review
  14. Cell-in-cell phenomena in cancer.Nature reviews. Cancer · 2018
    Review
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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 at 4 institutions in 1 country.

Jan BalvanDepartment of Pathological Physiology, Faculty of Medicine, Masaryk University / Kamenice 5, CZ-625 00, Brno, Czech Republic.
Jaromir GumulecDepartment of Pathological Physiology, Faculty of Medicine, Masaryk University / Kamenice 5, CZ-625 00, Brno, Czech Republic.
Martina RaudenskaDepartment of Pathological Physiology, Faculty of Medicine, Masaryk University / Kamenice 5, CZ-625 00, Brno, Czech Republic.
Aneta KrizovaCentral European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00, Brno, Czech Republic.
Petr StepkaDepartment of Physiology, Faculty of Medicine, Masaryk University / Kamenice 5, CZ-625 00, Brno, Czech Republic.
Petr BabulaDepartment of Physiology, Faculty of Medicine, Masaryk University / Kamenice 5, CZ-625 00, Brno, Czech Republic.
Rene KizekCentral European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00, Brno, Czech Republic.
Vojtech AdamCentral European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00, Brno, Czech Republic.
Michal MasarikDepartment of Pathological Physiology, Faculty of Medicine, Masaryk University / Kamenice 5, CZ-625 00, Brno, Czech Republic.
Masaryk University · CZCentral European Institute of Technology · CZBrno University of Technology · CZMendel University in Brno · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resistant cancer phenotype is a key obstacle in the successful therapy of prostate cancer. The primary aim of our study was to explore resistance mechanisms in the advanced type of prostate cancer cells (PC-3) and to clarify the role of autophagy in these processes. We performed time-lapse experiment (48 hours) with ROS generating plumbagin by using multimodal holographic microscope. Furthermore, we also performed the flow-cytometric analysis and the qRT-PCR gene expression analysis at 12 selected time points. TEM and confocal microscopy were used to verify the results. We found out that autophagy (namely mitophagy) is an important resistance mechanism. The major ROS producing mitochondria were coated by an autophagic membrane derived from endoplasmic reticulum and degraded. According to our results, increasing ROS resistance may be also accompanied by increased average cell size and polyploidization, which seems to be key resistance mechanism when connected with an escape from senescence. Many different types of cell-cell interactions were recorded including entosis, vesicular transfer, eating of dead or dying cells, and engulfment and cannibalism of living cells. Entosis was disclosed as a possible mechanism of polyploidization and enabled the long-term survival of cancer cells. Significantly reduced cell motility was found after the plumbagin treatment. We also found an extensive induction of pluripotency genes expression (NANOG, SOX2, and POU5F1) at the time-point of 20 hours. We suppose, that overexpression of pluripotency genes in the portion of prostate tumour cell population exposed to ROS leads to higher developmental plasticity and capability to faster respond to changes in the extracellular environment that could ultimately lead to an alteration of cell fate.

Indexed as

Cell Self RenewalOxidative StressAutophagyCell CommunicationCell Line, TumorCell SizeCell SurvivalEndoplasmic ReticulumEntosisFlow CytometryGene Expression ProfilingGene Expression Regulation, NeoplasticHumansInhibitory Concentration 50MaleMitophagyNaphthoquinonesplumbaginReactive Oxygen Species

Identifiers

PMID26671576
PMCPMC4679176
OpenAlexW2213338740

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.