Evidence map›Paper›PMID 23728290›Full record

ArticleNature structural & molecular biology2013

Integrative genomic analyses reveal clinically relevant long noncoding RNAs in human cancer.

Zhou Du, Teng Fei, Roel G W Verhaak, Zhen Su, Yong Zhang, Myles Brown, Yiwen Chen, X Shirley Liu

Abstract readValidation Study
In one paragraph

Article in Nature structural & molecular biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 357 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
357citing papers in PubMed, 4 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

357 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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297 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

8 authors.

Zhou DuDepartment of Bioinformatics, School of Life Sciences and Technology, Tongji University, Shanghai, China.
Teng Fei
Roel G W Verhaak
Zhen Su
Yong Zhang
Myles Brown
Yiwen Chen
X Shirley Liu

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Inferring Mammalian Transcriptional Regulatory Networks from EpigenomicsR01GM099409 · NIGMS · DANA-FARBER CANCER INST · PI LIU, XIAOLE SHIRLEY · 2011 to 2014
$1.4M
NCI NIH HHS P30 CA016672NIGMS NIH HHS GM099409NIGMS NIH HHS R01 GM099409
6 · The paper itself

Abstract

Despite growing appreciation of the importance of long noncoding RNAs (lncRNAs) in normal physiology and disease, our knowledge of cancer-related lncRNAs remains limited. By repurposing microarray probes, we constructed expression profiles of 10,207 lncRNA genes in approximately 1,300 tumors over four different cancer types. Through integrative analysis of the lncRNA expression profiles with clinical outcome and somatic copy-number alterations, we identified lncRNAs that are associated with cancer subtypes and clinical prognosis and predicted those that are potential drivers of cancer progression. We validated our predictions by experimentally confirming prostate cancer cell growth dependence on two newly identified lncRNAs. Our analysis provides a resource of clinically relevant lncRNAs for the development of lncRNA biomarkers and the identification of lncRNA therapeutic targets. It also demonstrates the power of integrating publically available genomic data sets and clinical information for discovering disease-associated lncRNAs.

Indexed as

AdenocarcinomaAmino Acid SequenceBiomarkers, TumorCell Line, TumorConserved SequenceDNA, IntergenicDNA ProbesExonsGene DosageGene Expression ProfilingGene Expression Regulation, NeoplasticGenes, OverlappingHumansIntronsKaplan-Meier EstimateMaleBiomarkers, TumorDNA, IntergenicDNA ProbesRNA, Long NoncodingRNA, Neoplasm

Identifiers

PMID23728290
PMCPMC3702647

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.