Evidence map›Paper›PMID 33042017›Full record

ArticleFrontiers in endocrinology2020

β-arrestin 2 Is a Prognostic Factor for Survival of Ovarian Cancer Patients Upregulating Cell Proliferation.

Bastian Czogalla, Alexandra Partenheimer, Udo Jeschke, Viktoria von Schönfeldt, Doris Mayr, Sven Mahner, Alexander Burges, Manuela Simoni, Beatrice Melli, Riccardo Benevelli and 3 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07169396 (Identification of Genetic Targets in Gynecological Tumors Via a Triple in Silico Ex-vivo / in Vivo Approach), which is not on this map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 21% 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.

NCT07169396 recruitingnot on this mapstarted 2021, after this paper: background citation

Identification of Genetic Targets in Gynecological Tumors Via a Triple in Silico Ex-vivo / in Vivo Approach

TypeobservationalSponsorAzienda USL Reggio Emilia - IRCCSRan2021 to 2027Enrolled180ConditionsOvarian CancerArmsRNA extraction and gene expression
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Survival-Related Genes on Chromosomes 6 and 17 in Medulloblastoma.International journal of molecular sciences · 2024
    Article
  5. Review
  6. Review
  7. Pharmacological reviews · 2023
    Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. What is new about ovarian malignancies?Contemporary oncology (Poznan, Poland) · 2021
    Review
  16. Review
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

13 authors at 4 institutions in 3 countries.

Bastian CzogallaDepartment of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany.
Alexandra PartenheimerDepartment of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany.
Udo JeschkeDepartment of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany.
Viktoria von SchönfeldtDepartment of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany.
Doris MayrInstitute of Pathology, Faculty of Medicine, LMU Munich, Munich, Germany.
Sven MahnerDepartment of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany.
Alexander BurgesDepartment of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany.
Manuela SimoniUnit of Endocrinology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Beatrice MelliUnit of Endocrinology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Riccardo BenevelliUnit of Endocrinology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Sara BertiniUnit of Endocrinology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Livio CasariniUnit of Endocrinology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Fabian TrillschDepartment of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany.
Ludwig-Maximilians-Universität München · DEUniversity of Modena and Reggio Emilia · ITLMU Klinikum · DEPhysiologie de la Reproduction et des Comportements · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Establishing reliable prognostic factors as well as specific targets for new therapeutic approaches is an urgent requirement in advanced ovarian cancer. For several tumor entities, the ubiquitously spread scaffold protein β-arrestin 2, a multifunctional scaffold protein regulating signal transduction and internalization of activated G protein-coupled receptors (GPCRs), has been considered with rising interest for carcinogenesis. Therefore, we aimed to elucidate the prognostic impact of β-arrestin 2 and its functional role in ovarian cancer. β-arrestin 2 expression was analyzed in a subset of 156 samples of ovarian cancer patients by immunohistochemistry. Cytoplasmic expression levels were correlated with clinical as well as pathological characteristics and with prognosis. The biologic impact of β-arrestin 2 on cell proliferation and survival was evaluated,

Indexed as

Cell ProliferationAdultbeta-Arrestin 2Biomarkers, TumorCell SurvivalFemaleHEK293 CellsHumansKaplan-Meier EstimateMiddle AgedOvarian NeoplasmsPrognosisReceptors, GonadotropinARRB2 protein, humanbeta-Arrestin 2Biomarkers, TumorReceptors, GonadotropinG protein-coupled receptorimmunohistochemistryin vitro analysesovarian cancersurvival analysisβ-arrestin 2

Identifiers

PMID33042017
PMCPMC7530235
OpenAlexW3087244515

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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.