Evidence map›Paper›PMID 26452128›Full record

ArticleOncotarget2015

Computational analysis of the mutations in BAP1, PBRM1 and SETD2 genes reveals the impaired molecular processes in renal cell carcinoma.

Francesco Piva, Matteo Giulietti, Giulia Occhipinti, Matteo Santoni, Francesco Massari, Valeria Sotte, Roberto Iacovelli, Luciano Burattini, Daniele Santini, Rodolfo Montironi and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Exploring the Spectrum of Kidney Ciliopathies.Diagnostics (Basel, Switzerland) · 2020
    Review
  6. Article
  7. Prognostic role of BAP-1 and PBRM-1 expression in intrahepatic cholangiocarcinoma.Virchows Archiv : an international journal of pathology · 2019
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. 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

12 authors at 4 institutions in 1 country.

Francesco PivaDepartment of Specialistic Clinical and Odontostomatological Sciences, Polytechnic University of Marche Region, Ancona, Italy.
Matteo GiuliettiDepartment of Specialistic Clinical and Odontostomatological Sciences, Polytechnic University of Marche Region, Ancona, Italy.
Giulia OcchipintiDepartment of Specialistic Clinical and Odontostomatological Sciences, Polytechnic University of Marche Region, Ancona, Italy.
Matteo SantoniDepartment of Medical Oncology, AOU Ospedali Riuniti - Polytechnic University of the Marche Region, Ancona, Italy.
Francesco MassariDepartment of Medical Oncology, University of Verona, Verona, Italy.
Valeria SotteDepartment of Medical Oncology, AOU Ospedali Riuniti - Polytechnic University of the Marche Region, Ancona, Italy.
Roberto IacovelliMedical Oncology Unit of Urogenital and Head & Neck Tumors, European Institute of Oncology, Milan, Italy.
Luciano BurattiniDepartment of Medical Oncology, AOU Ospedali Riuniti - Polytechnic University of the Marche Region, Ancona, Italy.
Daniele SantiniDepartment of Medical Oncology, Campus Bio-Medico University of Rome, Rome, Italy.
Rodolfo MontironiPathological Anatomy, Polytechnic University of the Marche Region School of Medicine United Hospitals, Ancona, Italy.
Stefano CascinuDepartment of Medical Oncology, AOU Ospedali Riuniti - Polytechnic University of the Marche Region, Ancona, Italy.
Giovanni PrincipatoDepartment of Specialistic Clinical and Odontostomatological Sciences, Polytechnic University of Marche Region, Ancona, Italy.
Marche Polytechnic University · ITEuropean Institute of Oncology · ITUniversità Campus Bio-Medico · ITUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clear cell Renal Cell Carcinoma (ccRCC) is due to loss of von Hippel-Lindau (VHL) gene and at least one out of three chromatin regulating genes BRCA1-associated protein-1 (BAP1), Polybromo-1 (PBRM1) and Set domain-containing 2 (SETD2). More than 350, 700 and 500 mutations are known respectively for BAP1, PBRM1 and SETD2 genes. Each variation damages these genes with different severity levels. Unfortunately for most of these mutations the molecular effect is unknown, so precluding a severity classification. Moreover, the huge number of these gene mutations does not allow to perform experimental assays for each of them. By bioinformatic tools, we performed predictions of the molecular effects of all mutations lying in BAP1, PBRM1 and SETD2 genes. Our results allow to distinguish whether a mutation alters protein function directly or by splicing pattern destruction and how much severely. This classification could be useful to reveal correlation with patients' outcome, to guide experiments, to select the variations that are worth to be included in translational/association studies, and to direct gene therapies.

Indexed as

Computational BiologyMutationBiomarkers, TumorCarcinoma, Renal CellDatabases, GeneticDNA-Binding ProteinsDNA Mutational AnalysisGenetic Predisposition to DiseaseHistone-Lysine N-MethyltransferaseHumansKidney NeoplasmsNuclear ProteinsPhenotypePrognosisTranscription FactorsTumor Suppressor ProteinsBAP1 protein, humanBiomarkers, TumorDNA-Binding ProteinsHistone-Lysine N-MethyltransferaseNuclear ProteinsPBRM1 protein, humanSETD2 protein, humanTranscription FactorsTumor Suppressor ProteinsUbiquitin ThiolesterasecomputationalmutationspolymorphismspredictionsRCC

Identifiers

PMID26452128
PMCPMC4741666
OpenAlexW2198124326

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.