Evidence map›Paper›PMID 29234122›Full record

ArticleScientific reports2017

Transcriptome-wide analysis of natural antisense transcripts shows their potential role in breast cancer.

Stephane Wenric, Sonia ElGuendi, Jean-Hubert Caberg, Warda Bezzaou, Corinne Fasquelle, Benoit Charloteaux, Latifa Karim, Benoit Hennuy, Pierre Frères, Joëlle Collignon and 7 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
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

31 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. MRAS: Master Regulator Analysis of Alternative Splicing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  6. Novel lncRNAInternational journal of molecular sciences · 2025
    Article
  7. Article
  8. Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  9. Article
  10. Article
  11. Non-coding antisense transcripts: fine regulation of gene expression in cancer.Computational and structural biotechnology journal · 2022
    Review
  12. Review
  13. Obscurin: A multitasking giant in the fight against cancer.Biochimica et biophysica acta. Reviews on cancer · 2021
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

17 authors.

Stephane WenricUniversity of Liège, GIGA-Research, Laboratory of Human Genetics, Liege, Belgium.ORCID 0000-0001-5625-2133
Sonia ElGuendiUniversity of Liège, GIGA-Research, Laboratory of Human Genetics, Liege, Belgium.
Jean-Hubert CabergUniversity Hospital (CHU), Center of Genetics, Liege, Belgium.
Warda BezzaouUniversity of Liège, GIGA-Research, Laboratory of Human Genetics, Liege, Belgium.
Corinne FasquelleUniversity of Liège, GIGA-Research, Laboratory of Human Genetics, Liege, Belgium.
Benoit CharloteauxUniversity of Liège, GIGA-Genomics Platform, Liege, Belgium.
Latifa KarimUniversity of Liège, GIGA-Genomics Platform, Liege, Belgium.
Benoit HennuyUniversity of Liège, GIGA-Genomics Platform, Liege, Belgium.
Pierre FrèresUniversity Hospital (CHU), Department of Medical Oncology, Liege, Belgium.
Joëlle CollignonUniversity Hospital (CHU), Department of Medical Oncology, Liege, Belgium.
Meriem BoukerrouchaUniversity Hospital (CHU), Department of Medical Oncology, Liege, Belgium.
Hélène SchroederUniversity Hospital (CHU), Department of Medical Oncology, Liege, Belgium.
Fabrice OlivierUniversity Hospital (CHU), Department of Medical Oncology, Liege, Belgium.
Véronique JossaClinique Saint-Vincent (CHC), Department of Pathology, Liege, Belgium.
Guy JerusalemUniversity Hospital (CHU), Department of Medical Oncology, Liege, Belgium.
Claire JosseUniversity of Liège, GIGA-Research, Laboratory of Human Genetics, Liege, Belgium. c.josse@chu.ulg.ac.be.ORCID 0000-0003-0315-3718
Vincent BoursUniversity of Liège, GIGA-Research, Laboratory of Human Genetics, Liege, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-coding RNAs (ncRNA) represent 1/5 of the mammalian transcript number, and 90% of the genome length is transcribed. Many ncRNAs play a role in cancer. Among them, non-coding natural antisense transcripts (ncNAT) are RNA sequences that are complementary and overlapping to those of either protein-coding (PCT) or non-coding transcripts. Several ncNATs were described as regulating protein coding gene expression on the same loci, and they are expected to act more frequently in cis compared to other ncRNAs that commonly function in trans. In this work, 22 breast cancers expressing estrogen receptors and their paired adjacent non-malignant tissues were analyzed by strand-specific RNA sequencing. To highlight ncNATs potentially playing a role in protein coding gene regulations that occur in breast cancer, three different data analysis methods were used: differential expression analysis of ncNATs between tumor and non-malignant tissues, differential correlation analysis of paired ncNAT/PCT between tumor and non-malignant tissues, and ncNAT/PCT read count ratio variation between tumor and non-malignant tissues. Each of these methods yielded lists of ncNAT/PCT pairs that were enriched in survival-associated genes. This work highlights ncNAT lists that display potential to affect the expression of protein-coding genes involved in breast cancer pathology.

Indexed as

TranscriptomeAdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleGene Expression ProfilingHumansMiddle AgedReceptors, EstrogenRetrospective StudiesRNA, AntisenseRNA, UntranslatedSequence Analysis, RNABiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenRNA, AntisenseRNA, Untranslated

Identifiers

PMID29234122
PMCPMC5727077

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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.