Evidence map›Paper›PMID 35884597›Full record

ArticleCancers2022

Endometrial Carcinoma: Molecular Cytogenetics and Transcriptomic Profile.

Marta Brunetti, Ioannis Panagopoulos, Valeria Vitelli, Kristin Andersen, Tarjei S Hveem, Ben Davidson, Ane Gerda Z Eriksson, Pernille Kristina Bjerre Trent, Sverre Heim, Francesca Micci

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

10 authors at 2 institutions in 1 country.

Marta BrunettiSection for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway.
Ioannis PanagopoulosSection for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway.
Valeria VitelliOslo Center for Biostatistics and Epidemiology, Department of Biostatistics, University of Oslo, 0315 Oslo, Norway.
Kristin AndersenSection for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway.
Tarjei S HveemSection for Applied Informatics, Institute for Cancer Genetics and Informatics, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway.
Ben DavidsonDepartment of Pathology, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway.ORCID 0000-0003-3332-8427
Ane Gerda Z ErikssonDepartment of Gynecological Oncology, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway.ORCID 0000-0002-4913-1218
Pernille Kristina Bjerre TrentInstitute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0315 Oslo, Norway.
Sverre HeimSection for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway.
Francesca MicciSection for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway.
Oslo University Hospital · NOUniversity of Oslo · NO

Funding

Anders Jahre's foundation through UNIFOR (University of Oslo) and The Norwegian Radium Hospital Foundation (Radiumhospitalets Legater)
6 · The paper itself

Abstract

Endometrial carcinomas (ECs) are histologically classified as endometrioid and nonendometrioid tumors, with each subgroup displaying different molecular profiles and clinical outcomes. Considerable biological and clinical heterogeneity exists within this scheme, however, reflecting its imperfection. We aimed to gather additional data that might help clarify the tumors' pathogenesis and contribute toward a more meaningful classification scheme. In total, 33 ECs were examined for the presence of chromosomal aberrations, genomic imbalances, pathogenic variants, microsatellite instability, and expression profiles at both gene and miRNA levels. Chromosome 1 was the most frequently rearranged chromosome, showing a gain of all or part of the long arm. Pathogenic variants were found for

Indexed as

cancer immune profilecancer pathwayschromosome 1endometrial carcinomagene expressionkaryotypemicrosatellite instabilitymiRNAmutation analysis

Identifiers

PMID35884597
PMCPMC9325179
OpenAlexW4286209747

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.