Evidence map›Paper›PMID 22726445›Full record

ArticleCell2012

Expressed pseudogenes in the transcriptional landscape of human cancers.

Shanker Kalyana-Sundaram, Chandan Kumar-Sinha, Sunita Shankar, Dan R Robinson, Yi-Mi Wu, Xuhong Cao, Irfan A Asangani, Vishal Kothari, John R Prensner, Robert J Lonigro and 6 more

Abstract read
In one paragraph

Article in Cell, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 169 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
169citing papers in PubMed, 1 pooled it
–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

169 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. RNA variation as the driver of genomic efficiency and phenotypic complexity.International journal of biological sciences · 2026
    Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Small Open Reading Frame-Encoded Micro-Peptides: An Emerging Protein World.International journal of molecular sciences · 2023
    Review
  17. Article
  18. Article
  19. Review
  20. Article

109 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Shanker Kalyana-SundaramMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA.
Chandan Kumar-Sinha
Sunita Shankar
Dan R Robinson
Yi-Mi Wu
Xuhong Cao
Irfan A Asangani
Vishal Kothari
John R Prensner
Robert J Lonigro
Matthew K Iyer
Terrence Barrette
Achiraman Shanmugam
Saravana M Dhanasekaran
Nallasivam Palanisamy
Arul M Chinnaiyan

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
Training Program in Tumor MicroenvironmentT32CA009676 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Maria G Castro, Analisa Virginia DiFeo · 1992 to 2026
$7.3M
Epitomic Biomarkers of Prostate CancerU01CA111275 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHINNAIYAN, ARUL M, RUBIN, MARK A. · 2004 to 2015
$6.8M
Molecuar Sub-typing of Prostate Cancer Based on Recurrent Gene FusionsR01CA132874 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHINNAIYAN, ARUL M · 2009 to 2013
$1.2M
Howard Hughes Medical InstituteNCI NIH HHS P50 CA069568NCI NIH HHS P50CA69568NCI NIH HHS R01 CA132874NCI NIH HHS R01CA132874NCI NIH HHS T32 CA009676NCI NIH HHS U01 CA111275
6 · The paper itself

Abstract

Pseudogene transcripts can provide a novel tier of gene regulation through generation of endogenous siRNAs or miRNA-binding sites. Characterization of pseudogene expression, however, has remained confined to anecdotal observations due to analytical challenges posed by the extremely close sequence similarity with their counterpart coding genes. Here, we describe a systematic analysis of pseudogene "transcription" from an RNA-Seq resource of 293 samples, representing 13 cancer and normal tissue types, and observe a surprisingly prevalent, genome-wide expression of pseudogenes that could be categorized as ubiquitously expressed or lineage and/or cancer specific. Further, we explore disease subtype specificity and functions of selected expressed pseudogenes. Taken together, we provide evidence that transcribed pseudogenes are a significant contributor to the transcriptional landscape of cells and are positioned to play significant roles in cellular differentiation and cancer progression, especially in light of the recently described ceRNA networks. Our work provides a transcriptome resource that enables high-throughput analyses of pseudogene expression.

Indexed as

Genome-Wide Association StudyTranscriptomeAmino Acid SequenceBase SequenceBreast NeoplasmsFemaleHumansMaleMolecular Sequence DataNeoplasmsProstatic NeoplasmsPseudogenesSequence Analysis, RNA

Identifiers

PMID22726445
PMCPMC3597446

What OpenQuestion holds

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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.