Evidence map›Paper›PMID 31406110›Full record

ArticleOncogenesis2019

The epigenetic factor BORIS (CTCFL) controls the androgen receptor regulatory network in ovarian cancer.

Marisol Salgado-Albarrán, Rodrigo González-Barrios, Lissania Guerra-Calderas, Nicolás Alcaraz, Thalía Estefanía Sánchez-Correa, Clementina Castro-Hernández, Yesennia Sánchez-Pérez, Elena Aréchaga-Ocampo, Alejandro García-Carrancá, David Cantú de León and 3 more

Open access · goldAbstract read
In one paragraph

Article in Oncogenesis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Frontiers in cell and developmental biology · 2022
    Review
  9. Article
  10. Article
  11. CTCF and CTCFL in cancer.Current opinion in genetics & development · 2020
    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 5 institutions in 3 countries.

Marisol Salgado-AlbarránNatural Sciences Department, Universidad Autónoma Metropolitana-Cuajimalpa (UAM-C), Mexico City, 05300, Mexico.
Rodrigo González-BarriosCancer Biomedical Research Unit, Instituto Nacional de Cancerología (INCan), Mexico City, Mexico.
Lissania Guerra-CalderasNatural Sciences Department, Universidad Autónoma Metropolitana-Cuajimalpa (UAM-C), Mexico City, 05300, Mexico.
Nicolás AlcarazThe Bioinformatics Centre Section for RNA and Computational Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-0839-8423
Thalía Estefanía Sánchez-CorreaInstituto Nacional de Neurología y Neurocirugía "Manuel Velasco Suárez", Mexico City, Mexico.
Clementina Castro-HernándezCancer Biomedical Research Unit, Instituto Nacional de Cancerología (INCan), Mexico City, Mexico.
Yesennia Sánchez-PérezCancer Biomedical Research Unit, Instituto Nacional de Cancerología (INCan), Mexico City, Mexico.
Elena Aréchaga-OcampoNatural Sciences Department, Universidad Autónoma Metropolitana-Cuajimalpa (UAM-C), Mexico City, 05300, Mexico.
Alejandro García-CarrancáCancer Biomedical Research Unit, Instituto Nacional de Cancerología (INCan), Mexico City, Mexico.
David Cantú de LeónCancer Biomedical Research Unit, Instituto Nacional de Cancerología (INCan), Mexico City, Mexico.
Luis A HerreraCancer Biomedical Research Unit, Instituto Nacional de Cancerología (INCan), Mexico City, Mexico.
Jan BaumbachChair of Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany.
Ernesto Soto-ReyesNatural Sciences Department, Universidad Autónoma Metropolitana-Cuajimalpa (UAM-C), Mexico City, 05300, Mexico. esotoreyes@correo.cua.uam.mx.ORCID http://orcid.org/0000-0002-4219-6406
Instituto Nacional de Cancerología · MXUniversidad Autónoma Metropolitana · MXInstituto Nacional de Neurología y Neurocirugía · MXTechnical University of Munich · DEUniversity of Copenhagen · DK

Funding

Consejo Nacional de Ciencia y Tecnología (National Council of Science and Technology, Mexico) 0261181Consejo Nacional de Ciencia y Tecnología (National Council of Science and Technology, Mexico) 284748EC | EU Framework Programme for Research and Innovation H2020 | H2020 Euratom (H2020 Euratom Research and Training Programme 2014-2018) 777111Villum Fonden (Villum Foundation) 13154
6 · The paper itself

Abstract

The identification of prognostic biomarkers is a priority for patients suffering from high-grade serous ovarian cancer (SOC), which accounts for >70% of ovarian cancer (OC) deaths. Meanwhile, borderline ovarian cancer (BOC) is a low malignancy tumor and usually patients undergo surgery with low probabilities of recurrence. However, SOC remains the most lethal neoplasm due to the lack of biomarkers for early diagnosis and prognosis. In this regard, BORIS (CTCFL), a CTCF paralog, is a promising cancer biomarker that is overexpressed and controls transcription in several cancer types, mainly in OC. Studies suggest that BORIS has an important function in OC by altering gene expression, but the effect and extent to which BORIS influences transcription in OC from a genome-wide perspective is unclear. Here, we sought to identify BORIS target genes in an OC cell line (OVCAR3) with potential biomarker use in OC tumor samples. To achieve this, we performed in vitro knockout and knockdown experiments of BORIS in OVCAR3 cell line followed by expression microarrays and bioinformatics network enrichment analysis to identify relevant BORIS target genes. In addition, ex vivo expression data analysis of 373 ovarian cancer patients were evaluated to identify the expression patterns of BORIS target genes. In vitro, we uncovered 130 differentially expressed genes and obtained the BORIS-associated regulatory network, in which the androgen receptor (AR) acts as a major transcription factor. Also, FN1, FAM129A, and CD97 genes, which are related to chemoresistance and metastases in OC, were identified. In SOC patients, we observed that malignancy is associated with high levels of BORIS expression while BOC patients show lower levels. Our study suggests that BORIS acts as a main regulator, and has the potential to be used as a prognostic biomarker and to yield novel drug targets among the genes BORIS controls in SOC patients.

Identifiers

PMID31406110
PMCPMC6690894
OpenAlexW2969086201

What OpenQuestion holds

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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.