Evidence map›Paper›PMID 25933431›Full record

ArticlePloS one2015

Integrative Analysis of Normal Long Intergenic Non-Coding RNAs in Prostate Cancer.

Pushpinder Bawa, Sajna Zackaria, Mohit Verma, Saurabh Gupta, R Srivatsan, Bibha Chaudhary, Subhashini Srinivasan

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

24 citing papers in PubMed, 34 citations in OpenAlex.

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  10. Interactions ofCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
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  15. Review
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  17. Article
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  20. 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

7 authors at 1 institution in 1 country.

Pushpinder BawaIBAB, Institute of Bioinformatics and Applied Biotechnology, Bangalore, Karnataka, India; Manipal University, Manipal, Karnataka, India.
Sajna ZackariaIBAB, Institute of Bioinformatics and Applied Biotechnology, Bangalore, Karnataka, India.
Mohit VermaIBAB, Institute of Bioinformatics and Applied Biotechnology, Bangalore, Karnataka, India.
Saurabh GuptaIBAB, Institute of Bioinformatics and Applied Biotechnology, Bangalore, Karnataka, India.
R SrivatsanIBAB, Institute of Bioinformatics and Applied Biotechnology, Bangalore, Karnataka, India.
Bibha ChaudharyIBAB, Institute of Bioinformatics and Applied Biotechnology, Bangalore, Karnataka, India.
Subhashini SrinivasanIBAB, Institute of Bioinformatics and Applied Biotechnology, Bangalore, Karnataka, India.
Institute of Bioinformatics and Applied Biotechnology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, large numbers of normal human tissues have been profiled for non-coding RNAs and more than fourteen thousand long intergenic non-coding RNAs (lincRNAs) are found expressed in normal human tissues. The functional roles of these normal lincRNAs (nlincRNAs) in the regulation of protein coding genes in normal and disease biology are yet to be established. Here, we have profiled two RNA-seq datasets including cancer and matched non-neoplastic tissues from 12 individuals from diverse demography for both coding genes and nlincRNAs. We find 130 nlincRNAs significantly regulated in cancer, with 127 regulated in the same direction in the two datasets. Interestingly, according to Illumina Body Map, significant numbers of these nlincRNAs display baseline null expression in normal prostate tissues but are specific to other tissues such as thyroid, kidney, liver and testis. A number of the regulated nlincRNAs share loci with coding genes, which are either co-regulated or oppositely regulated in all cancer samples studied here. For example, in all cancer samples i) the nlincRNA, TCONS_00029157, and a neighboring tumor suppressor factor, SIK1, are both down regulated; ii) several thyroid-specific nlincRNAs in the neighborhood of the thyroid-specific gene TPO, are both up-regulated; and iii) the TCONS_00010581, an isoform of HEIH, is down-regulated while the neighboring EZH2 gene is up-regulated in cancer. Several nlincRNAs from a prostate cancer associated chromosomal locus, 8q24, are up-regulated in cancer along with other known prostate cancer associated genes including PCAT-1, PVT1, and PCAT-92. We observe that there is significant bias towards up-regulation of nlincRNAs with as high as 118 out of 127 up-regulated in cancer, even though regulation of coding genes is skewed towards down-regulation. Considering that all reported cancer associated lincRNAs (clincRNAs) are biased towards up-regulation, we conclude that this bias may be functionally relevant.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticChromosomes, Human, Pair 17Databases, GeneticGene Regulatory NetworksGenes, NeoplasmGenetic LociHumansMaleMultigene FamilyPrincipal Component AnalysisProstatic NeoplasmsReproducibility of ResultsRNA, Long NoncodingSequence Analysis, RNARNA, Long Noncoding

Identifiers

PMID25933431
PMCPMC4416928
OpenAlexW2124837263

What OpenQuestion holds

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LicenceCC BY
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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.