Evidence map›Paper›PMID 16461635›Full record

ArticleGenome research2006

Decoding the fine-scale structure of a breast cancer genome and transcriptome.

Stanislav Volik, Benjamin J Raphael, Guiqing Huang, Michael R Stratton, Graham Bignel, John Murnane, John H Brebner, Krystyna Bajsarowicz, Pamela L Paris, Quanzhou Tao and 9 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–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

32 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Copy number variation analysis based on AluScan sequences.Journal of clinical bioinformatics · 2014
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Cancer gene discovery in mouse and man.Biochimica et biophysica acta · 2009
    Review
  19. Article
  20. Mechanisms of change in gene copy number.Nature reviews. Genetics · 2009
    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

19 authors at 7 institutions in 3 countries.

Stanislav VolikDepartment of Urology, and Cancer Research Institute, University of California San Francisco Comprehensive Cancer Center, San Francisco, California 94115, USA.
Benjamin J Raphael
Guiqing Huang
Michael R Stratton
Graham Bignel
John Murnane
John H Brebner
Krystyna Bajsarowicz
Pamela L Paris
Quanzhou Tao
David Kowbel
Anna Lapuk
Dmitri A Shagin
Irina A Shagina
Joe W Gray
Jan-Fang Cheng
Pieter J de Jong
Pavel Pevzner
Colin Collins
Cancer Research Institute · USLawrence Berkeley National Laboratory · USReprogenetics · USUniversity of California San Diego · USWellcome Sanger Institute · GBJoint Genome Institute · USUniversity of California, San Francisco · US

Funding

COMPARATIVE GENOMIC ANALYSIS OF CARDIOVASCULAR GENE REGUU01HL066728 · NHLBI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI CHENG, JAN-FANG · 2000 to 2003
$3.8M
MECHANISMS OF FORMATION OF TERMINAL DELETIONSR01ES008427 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MURNANE, JOHN P. · 1997 to 2007
$2.5M
Development of ESP: Structural &Functional OncogenomicsR33CA103068 · NCI · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI COLLINS, COLIN C · 2003 to 2005
$1.6M
TELOMERIC REPEATS AND THE RESPONSE TO IONIZING RADIATIONR01CA069044 · NCI · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI MURNANE, JOHN P. · 1996 to 2004
$1.2M
NCI NIH HHS R01 CA069044NCI NIH HHS R01 CA69044NCI NIH HHS R33 CA103068NHLBI NIH HHS U01 HL66728NIEHS NIH HHS R01 ES008427Wellcome Trust
6 · The paper itself

Abstract

A comprehensive understanding of cancer is predicated upon knowledge of the structure of malignant genomes underlying its many variant forms and the molecular mechanisms giving rise to them. It is well established that solid tumor genomes accumulate a large number of genome rearrangements during tumorigenesis. End Sequence Profiling (ESP) maps and clones genome breakpoints associated with all types of genome rearrangements elucidating the structural organization of tumor genomes. Here we extend the ESP methodology in several directions using the breast cancer cell line MCF-7. First, targeted ESP is applied to multiple amplified loci, revealing a complex process of rearrangement and co-amplification in these regions reminiscent of breakage/fusion/bridge cycles. Second, genome breakpoints identified by ESP are confirmed using a combination of DNA sequencing and PCR. Third, in vitro functional studies assign biological function to a rearranged tumor BAC clone, demonstrating that it encodes anti-apoptotic activity. Finally, ESP is extended to the transcriptome identifying four novel fusion transcripts and providing evidence that expression of fusion genes may be common in tumors. These results demonstrate the distinct advantages of ESP including: (1) the ability to detect all types of rearrangements and copy number changes; (2) straightforward integration of ESP data with the annotated genome sequence; (3) immortalization of the genome; (4) ability to generate tumor-specific reagents for in vitro and in vivo functional studies. Given these properties, ESP could play an important role in a tumor genome project.

Indexed as

Transcription, GeneticBreast NeoplasmsCell Line, TumorChromosomes, Artificial, BacterialChromosomes, HumanFemaleGene Expression ProfilingGenome, HumanHumansIn Situ Hybridization, FluorescenceMolecular Sequence DataPolymerase Chain ReactionReproducibility of ResultsSequence Analysis, DNA

Identifiers

PMID16461635
PMCPMC1415204
OpenAlexW2133870323

What OpenQuestion holds

Textmetadata
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.