Evidence map›Paper›PMID 16608523›Full record

ArticleBMC bioinformatics2006

Profiling alternatively spliced mRNA isoforms for prostate cancer classification.

Chaolin Zhang, Hai-Ri Li, Jian-Bing Fan, Jessica Wang-Rodriguez, Tracy Downs, Xiang-Dong Fu, Michael Q Zhang

Abstract read
In one paragraph

Article in BMC bioinformatics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

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

  1. Pooled it
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  4. Review
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  7. Article
  8. Pathway-guided analysis identifies Myc-dependent alternative pre-mRNA splicing in aggressive prostate cancers.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  9. Isoform-specific promotion of breast cancer tumorigenicity by TBX3 involves induction of angiogenesis.Laboratory investigation; a journal of technical methods and pathology · 2020
    Article
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  11. Review
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  16. Article
  17. Alternative splicing programs in prostate cancer.International journal of cell biology · 2013
    Article
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  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

7 authors.

Chaolin ZhangCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA. zhangc@cshl.edu
Hai-Ri Li
Jian-Bing Fan
Jessica Wang-Rodriguez
Tracy Downs
Xiang-Dong Fu
Michael Q Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProstate cancer is one of the leading causes of cancer illness and death among men in the United States and world wide. There is an urgent need to discover good biomarkers for early clinical diagnosis and treatment. Previously, we developed an exon-junction microarray-based assay and profiled 1532 mRNA splice isoforms from 364 potential prostate cancer related genes in 38 prostate tissues. Here, we investigate the advantage of using splice isoforms, which couple transcriptional and splicing regulation, for cancer classification.

resultsAs many as 464 splice isoforms from more than 200 genes are differentially regulated in tumors at a false discovery rate (FDR) of 0.05. Remarkably, about 30% of genes have isoforms that are called significant but do not exhibit differential expression at the overall mRNA level. A support vector machine (SVM) classifier trained on 128 signature isoforms can correctly predict 92% of the cases, which outperforms the classifier using overall mRNA abundance by about 5%. It is also observed that the classification performance can be improved using multivariate variable selection methods, which take correlation among variables into account.

conclusionThese results demonstrate that profiling of splice isoforms is able to provide unique and important information which cannot be detected by conventional microarrays.

Indexed as

AlgorithmsAlternative SplicingBiomarkers, TumorDiagnosis, Computer-AssistedGene Expression ProfilingHumansMaleNeoplasm ProteinsProstatic NeoplasmsProtein IsoformsReproducibility of ResultsRNA, MessengerSensitivity and SpecificitySequence Analysis, RNABiomarkers, TumorNeoplasm ProteinsProtein IsoformsRNA, Messenger

Identifiers

PMID16608523
PMCPMC1458362

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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.