Evidence map›Paper›PMID 20605923›Full record

ArticleMolecular cancer research : MCR2010

Exon-level microarray analyses identify alternative splicing programs in breast cancer.

Anna Lapuk, Henry Marr, Lakshmi Jakkula, Helder Pedro, Sanchita Bhattacharya, Elizabeth Purdom, Zhi Hu, Ken Simpson, Lior Pachter, Steffen Durinck and 15 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cancer research : MCR, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

73 citing papers in PubMed, 115 citations in OpenAlex.

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  17. Mechanisms and Measurement of Changes in Gene Expression.Biological research for nursing · 2018
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13 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

25 authors at 4 institutions in 2 countries.

Anna LapukLife Sciences Division, Lawrence Berkeley National Laboratory, University of California at Berkeley, Berkeley, California 94720, USA. alapuk@prostatecentre.com
Henry Marr
Lakshmi Jakkula
Helder Pedro
Sanchita Bhattacharya
Elizabeth Purdom
Zhi Hu
Ken Simpson
Lior Pachter
Steffen Durinck
Nicholas Wang
Bahram Parvin
Gerald Fontenay
Terence Speed
James Garbe
Martha Stampfer
Hovig Bayandorian
Shannon Dorton
Tyson A Clark
Anthony Schweitzer
Andrew Wyrobek
Heidi Feiler
Paul Spellman
John Conboy
Joe W Gray
Lawrence Berkeley National Laboratory · USUniversity of California, San Francisco · USUniversity of California, Berkeley · USWalter and Eliza Hall Institute of Medical Research · AU

Funding

Tissue and Outcomes CoreP50CA058207 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRAY, JOE W. · 1992 to 2012
$32.7M
Systems-Based Predictions of Responses to Cancer TherapyU54CA112970 · NCI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI GRAY, JOE W. · 2004 to 2014
$27.1M
Targeted and global proteomic strategies for early breast cancer detectionU24CA126477 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FISHER, SUSAN J. · 2006 to 2011
$8.7M
RED CELL BAND 41--DEVELOPMENTAL CHANGES IN RNA SPLICINGR01HL045182 · NHLBI · UNIVERSITY OF CALIFORNIA BERKELEY · PI CONBOY, JOHN G · 1990 to 2010
$4.8M
Red Cell Band 4.1 - Developmental Changes in RNA SplicingR56HL045182 · NHLBI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI CONBOY, JOHN G · 2008 to 2008
$500k
NCI NIH HHS CA112970NCI NIH HHS CA 126477NCI NIH HHS CA58207NCI NIH HHS P50 CA058207NCI NIH HHS U24 CA126477NCI NIH HHS U54 CA112970NHLBI NIH HHS HL045182NHLBI NIH HHS R01 HL045182NHLBI NIH HHS R56 HL045182
6 · The paper itself

Abstract

Protein isoforms produced by alternative splicing (AS) of many genes have been implicated in several aspects of cancer genesis and progression. These observations motivated a genome-wide assessment of AS in breast cancer. We accomplished this by measuring exon level expression in 31 breast cancer and nonmalignant immortalized cell lines representing luminal, basal, and claudin-low breast cancer subtypes using Affymetrix Human Junction Arrays. We analyzed these data using a computational pipeline specifically designed to detect AS with a low false-positive rate. This identified 181 splice events representing 156 genes as candidates for AS. Reverse transcription-PCR validation of a subset of predicted AS events confirmed 90%. Approximately half of the AS events were associated with basal, luminal, or claudin-low breast cancer subtypes. Exons involved in claudin-low subtype-specific AS were significantly associated with the presence of evolutionarily conserved binding motifs for the tissue-specific Fox2 splicing factor. Small interfering RNA knockdown of Fox2 confirmed the involvement of this splicing factor in subtype-specific AS. The subtype-specific AS detected in this study likely reflects the splicing pattern in the breast cancer progenitor cells in which the tumor arose and suggests the utility of assays for Fox-mediated AS in cancer subtype definition and early detection. These data also suggest the possibility of reducing the toxicity of protein-targeted breast cancer treatments by targeting protein isoforms that are not present in limiting normal tissues.

Indexed as

ExonsAlternative SplicingBinding SitesBreast NeoplasmsCell Growth ProcessesCell Line, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMicroarray AnalysisProtein IsoformsRNA, MessengerSequence Analysis, DNATransfectionProtein IsoformsRNA, Messenger

Identifiers

PMID20605923
PMCPMC2911965
OpenAlexW2141308479

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.