Evidence map›Paper›PMID 20824129›Full record

ArticlePLoS genetics2010

Allelic selection of amplicons in glioblastoma revealed by combining somatic and germline analysis.

Thomas LaFramboise, Ninad Dewal, Katherine Wilkins, Itsik Pe'er, Matthew L Freedman

Abstract read
In one paragraph

Article in PLoS genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Review
  3. [An improved association analysis pipeline for tumor susceptibility variant in haplotype amplification area].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2020
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge.Contemporary oncology (Poznan, Poland) · 2015
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
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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

5 authors.

Thomas LaFramboiseDepartment of Genetics, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States of America.
Ninad Dewal
Katherine Wilkins
Itsik Pe'er
Matthew L Freedman

Funding

Nation Center: Multi-Scale Study- Cellular Networks(RMI)U54CA121852 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2005 to 2015
$37.4M
A genomic survey of allele-specific selection in tumor ampliconsR01CA131341 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI LAFRAMBOISE, THOMAS LOUIS, PE'ER, ITSHACK G · 2008 to 2011
$1.2M
Howard Hughes Medical InstituteNCI NIH HHS R01 CA131341NCI NIH HHS R01 R01 CA131341NCI NIH HHS U54 CA121852
6 · The paper itself

Abstract

Cancer is a disease driven by a combination of inherited risk alleles coupled with the acquisition of somatic mutations, including amplification and deletion of genomic DNA. Potential relationships between the inherited and somatic aspects of the disease have only rarely been examined on a genome-wide level. Applying a novel integrative analysis of SNP and copy number measurements, we queried the tumor and normal-tissue genomes of 178 glioblastoma patients from the Cancer Genome Atlas project for preferentially amplified alleles, under the hypothesis that oncogenic germline variants will be selectively amplified in the tumor environment. Selected alleles are revealed by allelic imbalance in amplification across samples. This general approach is based on genetic principles and provides a method for identifying important tumor-related alleles. We find that SNP alleles that are most significantly overrepresented in amplicons tend to occur in genes involved with regulation of kinase and transferase activity, and many of these genes are known contributors to gliomagenesis. The analysis also implicates variants in synapse genes. By incorporating gene expression data, we demonstrate synergy between preferential allelic amplification and expression in DOCK4 and EGFR. Our results support the notion that combining germline and tumor genetic data can identify regions relevant to cancer biology.

Indexed as

AllelesSelection, GeneticErbB ReceptorsGene AmplificationGenome, HumanGerm CellsGlioblastomaGTPase-Activating ProteinsHumansOdds RatioPolymorphism, Single NucleotideDOCK4 protein, humanErbB ReceptorsGTPase-Activating Proteins

Identifiers

PMID20824129
PMCPMC2932683

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.