Evidence map›Paper›PMID 26063736›Full record

ArticleGenome research2015

The landscape of antisense gene expression in human cancers.

O Alejandro Balbin, Rohit Malik, Saravana M Dhanasekaran, John R Prensner, Xuhong Cao, Yi-Mi Wu, Dan Robinson, Rui Wang, Guoan Chen, David G Beer and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers.

0numbers the graph read from it
0cells of the map it votes in
106citing 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

106 citing papers in PubMed, 189 citations in OpenAlex.

  1. Article
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  6. Article
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  8. Article
  9. Article
  10. Novel lncRNAInternational journal of molecular sciences · 2025
    Article
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  12. Article
  13. Article
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  15. Review
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  19. Review
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46 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

O Alejandro BalbinMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA;
Rohit MalikMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA;
Saravana M DhanasekaranMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA;
John R PrensnerMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA;
Xuhong CaoMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA;
Yi-Mi WuMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA;
Dan RobinsonMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA;
Rui WangMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA;
Guoan ChenDepartment of Surgery, Section of Thoracic Surgery, University of Michigan, Ann Arbor, Michigan 48109, USA;
David G BeerDepartment of Surgery, Section of Thoracic Surgery, University of Michigan, Ann Arbor, Michigan 48109, USA;
Alexey I NesvizhskiiMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA;
Arul M ChinnaiyanMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Urology, University of Michigan, Ann Arbor, Michigan 48109, USA; Comprehensive Cancer Center, University of Michigan, Ann Arbor, Michigan 48109, USA.
University of Michigan · US

Funding

VACCINIA PSA FOR ANDROGEN-MODULATED POST-SURGICAL RECURRENCE OF PROSTATE CANCERP50CA069568 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COONEY, KATHLEEN A · 1995 to 2013
$31.3M
Epitomic Biomarkers of Prostate CancerU01CA111275 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHINNAIYAN, ARUL M, RUBIN, MARK A. · 2004 to 2015
$6.8M
COMPUTATIONAL TOOLS FOR MASS SPECTROMETRY-BASED INTERACTOME DATAR01GM094231 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 2010 to 2026
$5.4M
Proteogenomics of Cancer Training ProgramT32CA140044 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RAO, ARVIND, SARTOR, MAUREEN AGNES · 2010 to 2024
$3.9M
Identification and Characterization of Gene Fusions in Lung AdenocarcinomaR01CA154365 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BEER, DAVID GEORGE, CHINNAIYAN, ARUL M · 2011 to 2015
$1.4M
Reconstructing targetable pathways in lung cancer using a bioinformatics approachF31CA165866 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BALBIN, OSCAR ALEJANDRO · 2011 to 2013
$64k
NCI NIH HHS F31 CA165866NCI NIH HHS P50 CA069568NCI NIH HHS R01 CA154365NCI NIH HHS T32 CA140044NCI NIH HHS U01 CA111275NIGMS NIH HHS R01 GM094231
6 · The paper itself

Abstract

High-throughput RNA sequencing has revealed more pervasive transcription of the human genome than previously anticipated. However, the extent of natural antisense transcripts' (NATs) expression, their regulation of cognate sense genes, and the role of NATs in cancer remain poorly understood. Here, we use strand-specific paired-end RNA sequencing (ssRNA-seq) data from 376 cancer samples covering nine tissue types to comprehensively characterize the landscape of antisense expression. We found consistent antisense expression in at least 38% of annotated transcripts, which in general is positively correlated with sense gene expression. Investigation of sense/antisense pair expressions across tissue types revealed lineage-specific, ubiquitous and cancer-specific antisense loci transcription. Comparisons between tumor and normal samples identified both concordant (same direction) and discordant (opposite direction) sense/antisense expression patterns. Finally, we provide OncoNAT, a catalog of cancer-related genes with significant antisense transcription, which will enable future investigations of sense/antisense regulation in cancer. Using OncoNAT we identified several functional NATs, including NKX2-1-AS1 that regulates the NKX2-1 oncogene and cell proliferation in lung cancer cells. Overall, this study provides a comprehensive account of NATs and supports a role for NATs' regulation of tumor suppressors and oncogenes in cancer biology.

Indexed as

Gene Expression Regulation, NeoplasticTranscriptomeCluster AnalysisComputational BiologyGene Expression ProfilingGenetic LociHumansNeoplasmsOrgan SpecificityRNA, AntisenseRNA, Antisense

Identifiers

PMID26063736
PMCPMC4484389
OpenAlexW2100692492

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.