Evidence map›Paper›PMID 26199857›Full record

ArticleAnalytical cellular pathology (Amsterdam)2015

Evaluation of the selenotranscriptome expression in two hepatocellular carcinoma cell lines.

Stefano Guariniello, Giovanni Di Bernardo, Giovanni Colonna, Marcella Cammarota, Giuseppe Castello, Susan Costantini

Registry-linked trialAbstract read
In one paragraph

Article in Analytical cellular pathology (Amsterdam), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05817227 (Selenoproteins as Prognostic Markers and Therapeutic Targets in Breast Cancer.), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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.

NCT05817227 recruitingnot on this mapstarted 2022, after this paper: background citation

Selenoproteins as Prognostic Markers and Therapeutic Targets in Breast Cancer.

TypeobservationalSponsorNational Cancer Institute, NaplesRan2022 to 2027Enrolled300ConditionsBreast Cancer
3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Review
  2. Review
  3. Selenoprotein K at the intersection of cellular pathways.Archives of biochemistry and biophysics · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. GPX4 and GPX7 over-expression in human hepatocellular carcinoma tissues.European journal of histochemistry : EJH · 2015
    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

6 authors.

Stefano GuarinielloDipartimento di Biochimica, Biofisica e Patologia Generale, Seconda Università degli Studi di Napoli, 80138 Napoli, Italy.
Giovanni Di BernardoDipartimento di Medicina Sperimentale, Seconda Università degli Studi di Napoli, 80138 Napoli, Italy.
Giovanni ColonnaServizio di Informatica Medica, Azienda Ospedaliera Universitaria, Seconda Università di Napoli, 80138 Napoli, Italy.
Marcella CammarotaDipartimento di Medicina Sperimentale, Seconda Università degli Studi di Napoli, 80138 Napoli, Italy.
Giuseppe CastelloCROM, Istituto Nazionale Tumori "Fondazione G. Pascale", IRCCS, 80131 Napoli, Italy.
Susan CostantiniCROM, Istituto Nazionale Tumori "Fondazione G. Pascale", IRCCS, 80131 Napoli, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is the most common type of liver cancer and is still one of the most fatal cancers. Hence, it needs to identify always new putative markers to improve its diagnosis and prognosis. Since the selenium is able to fight the oxidative damage which is one of the major origins of cell damage as well as cancer, we have recently focused our attention on selenoprotein family and their involvement in HCC. In the present paper we have carried out a global analysis of the selenotranscriptome expression in HepG2 and Huh7 cells compared to the normal human hepatocytes by reverse transcription-qPCR (RT-qPCR). Our data showed that in both cells there are three downregulated (DIO1, DIO2, and SELO) and ten upregulated (GPX4, GPX7, SELK, SELM, SELN, SELT, SELV, SEP15, SEPW1, and TrxR1) genes. Additionally, interactomic studies were carried out to evaluate the ability of these down- and upregulated genes to interact between them as well as to identify putative HUB nodes representing the centers of correlation able to exercise a direct control over the coordinated genes.

Indexed as

Gene Expression Regulation, NeoplasticCarcinoma, HepatocellularCell Line, TumorDown-RegulationGene Regulatory NetworksHepatocytesHumansLiver NeoplasmsReal-Time Polymerase Chain ReactionSelenoproteinsTranscriptomeUp-RegulationSelenoproteins

Identifiers

PMID26199857
PMCPMC4493270

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.