Evidence map›Paper›PMID 30918304›Full record

ArticleScientific reports2019

Influence of p53 Isoform Expression on Survival in High-Grade Serous Ovarian Cancers.

Katharina Bischof, Stian Knappskog, Sigrun M Hjelle, Ingunn Stefansson, Kathrine Woie, Helga B Salvesen, Bjorn T Gjertsen, Line Bjorge

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. 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
3.6field-weighted citation impact, top 8% 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. Trial
  2. The p53 Isoforms as Potential Biomarkers in Different Cancer Entities.International journal of molecular sciences · 2026
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  5. Article
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  8. Article
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  14. Recycling the Purpose of Old Drugs to Treat Ovarian Cancer.International journal of molecular sciences · 2020
    Review
  15. Article
  16. Review
  17. The Rich World of p53 DNA Binding Targets: The Role of DNA Structure.International journal of molecular sciences · 2019
    Review
  18. Article
  19. 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 1 institution in 1 country.

Katharina BischofCentre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, 5020, Bergen, Norway.
Stian KnappskogDepartment of Oncology, Haukeland University Hospital, 5021, Bergen, Norway.
Sigrun M HjelleCentre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, 5020, Bergen, Norway.
Ingunn StefanssonDepartment of Pathology, Haukeland University Hospital, 5021, Bergen, Norway.
Kathrine WoieDepartment of Gynecology and Obstetrics, Haukeland University Hospital, 5021, Bergen, Norway.
Helga B SalvesenCentre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, 5020, Bergen, Norway.
Bjorn T GjertsenCentre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, 5020, Bergen, Norway.ORCID http://orcid.org/0000-0001-9358-9704
Line BjorgeCentre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, 5020, Bergen, Norway. line.bjorge@uib.no.
Haukeland University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-grade serous ovarian carcinoma (HGSOC) is characterised by alterations in the p53 pathway. The expression levels of p53 isoforms have been shown to be associated with patient survival in several cancers. This study examined the predictive and prognostic effects of the expression levels of TP53 pre-mRNA splicing isoforms and TP53 mutations in tumour tissues in 40 chemotherapy responders and 29 non-responders with HGSOC. The mRNA expression levels from total p53, and total Δ133p53, p53β, p53γ isoforms were determined by RT-qPCR, and TP53 mutation status by targeted massive parallel sequencing. The results from these analyses were correlated with the clinical outcome parameters. No differential expression of p53 isoforms could be detected between the chemosensitive and chemoresistant subgroups. In a multivariate Cox regression model, high levels of total Δ133p53 were found to be an independent prognosticator for improved overall survival (HR = 0.422, p = 0.018, 95% CI: 0.207-0.861) and reached borderline significance for progression-free survival (HR = 0.569, p = 0.061, 95% CI: 0.315-1.027). TP53 mutations resulting in loss of function or located at known hotspots were predictive of tumour characteristics and disease progression. These findings suggest that total Δ133p53 mRNA can be a biomarker for survival in HGSOC.

Indexed as

Gene Expression Regulation, NeoplasticAdultAgedFemaleHumansMiddle AgedMutationNeoplasm GradingOvarian NeoplasmsPrognosisProtein IsoformsRNA, MessengerSurvival AnalysisTumor Suppressor Protein p53Protein IsoformsRNA, MessengerTumor Suppressor Protein p53

Identifiers

PMID30918304
PMCPMC6437169
OpenAlexW2924025248

What OpenQuestion holds

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LicenceCC BY
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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.