Evidence map›Paper›PMID 17224074›Full record

ArticleBreast cancer research : BCR2007

Somatic sequence alterations in twenty-one genes selected by expression profile analysis of breast carcinomas.

Stephen J Chanock, Laurie Burdett, Meredith Yeager, Victor Llaca, Anita Langerød, Shafaq Presswalla, Rolf Kaaresen, Robert L Strausberg, Daniela S Gerhard, Vessela Kristensen and 2 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 33 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 8 institutions in 2 countries.

Stephen J ChanockSection of Genomic Variation, Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892-4605, USA. chanocks@mail.nih.gov
Laurie Burdett
Meredith Yeager
Victor Llaca
Anita Langerød
Shafaq Presswalla
Rolf Kaaresen
Robert L Strausberg
Daniela S Gerhard
Vessela Kristensen
Charles M Perou
Anne-Lise Børresen-Dale
National Institutes of Health · USJ. Craig Venter Institute · USNational Cancer Institute · USNorwegian Cancer Society · NOOslo University Hospital · NOScience Applications International Corporation (United States) · USUniversity of North Carolina at Chapel Hill · USUniversity of Oslo · NO

Funding

Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KATHERINE A. HOADLEY · 1992 to 2026
$59.3M
Molecular Characterization of Breast Basal-like TumorsR01CA101227 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PEROU, CHARLES M · 2003 to 2007
$2.0M
MOLECULAR STUDY OF HOST RESPONSE/GENETIC RISK FACTORS OF INFECTION COMPLICATIONZ01SC010083 · SC · CLINICAL SCIENCES · PI CHANOCK, STEPHEN J · 1997 to 2007
$1.1M
Intramural NIH HHSNCI NIH HHS P50 CA058223NCI NIH HHS P50-CA58223-09A1NCI NIH HHS R01 CA101227NCI NIH HHS R01-CA-101227-01
6 · The paper itself

Abstract

introductionGenomic alterations have been observed in breast carcinomas that affect the capacity of cells to regulate proliferation, signaling, and metastasis. Re-sequence studies have investigated candidate genes based on prior genetic observations (changes in copy number or regions of genetic instability) or other laboratory observations and have defined critical somatic mutations in genes such as TP53 and PIK3CA.

methodsWe have extended the paradigm and analyzed 21 genes primarily identified by expression profiling studies, which are useful for breast cancer subtyping and prognosis. This study conducted a bidirectional re-sequence analysis of all exons and 5', 3', and evolutionarily conserved regions (spanning more than 16 megabases) in 91 breast tumor samples.

resultsEighty-seven unique somatic alterations were identified in 16 genes. Seventy-eight were single base pair alterations, of which 23 were missense mutations; 55 were distributed across conserved intronic regions or the 5' and 3' regions. There were nine insertion/deletions. Because there is no a priori way to predict whether any one of the identified synonymous and noncoding somatic alterations disrupt function, analysis unique to each gene will be required to establish whether it is a tumor suppressor gene or whether there is no effect. In five genes, no somatic alterations were observed.

conclusionThe study confirms the value of re-sequence analysis in cancer gene discovery and underscores the importance of characterizing somatic alterations across genes that are related not only by function, or functional pathways, but also based upon expression patterns.

Indexed as

Gene Expression ProfilingBreast NeoplasmsCarcinomaConserved SequenceDNA Mutational AnalysisExonsFemaleHumans

Identifiers

PMID17224074
PMCPMC1851401
OpenAlexW1919830178

What OpenQuestion holds

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LicenceCC BY
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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.