Evidence map›Paper›PMID 21757246›Full record

ReviewTrends in biotechnology2011

Genome-wide approaches for cancer gene discovery.

Paul M Lizardi, Matteo Forloni, Narendra Wajapeyee

Abstract readReview
In one paragraph

Review in Trends in biotechnology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
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  6. Review
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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

3 authors.

Paul M LizardiDepartment of Pathology, Yale University School of Medicine, New Haven, CT 06520-8023, USA.
Matteo Forloni
Narendra Wajapeyee

Funding

Probes for detection of DNA accessibility in chromatinR01GM080242 · NIGMS · YALE UNIVERSITY · PI LIZARDI, PAUL M. · 2007 to 2009
$1.1M
Global DNA methylation profiles of head and neck cancersR21CA116079 · NCI · YALE UNIVERSITY · PI LIZARDI, PAUL M. · 2005 to 2005
$139k
NCI NIH HHS 1 R21 CA116079-01NCI NIH HHS R21 CA116079NIGMS NIH HHS 5 R01GM080242-03NIGMS NIH HHS R01 GM080242PHS HHS P30-34989
6 · The paper itself

Abstract

One of the central aims of cancer research is to identify and characterize cancer-causing alterations in cancer genomes. In recent years, unprecedented advances in genome-wide sequencing, functional genomics technologies for RNA interference screens and methods for evaluating three-dimensional chromatin organization in vivo have resulted in important discoveries regarding human cancer. The cancer-causing genes identified from these new genome-wide technologies have also provided opportunities for effective and personalized cancer therapy. In this review, we describe some of the most recent technologies for cancer gene discovery. We also provide specific examples in which these technologies have proven remarkably successful in uncovering important cancer-causing alterations.

Indexed as

Genes, NeoplasmAnimalsDatabases, GeneticGene Expression ProfilingGenomeGenomicsHigh-Throughput Screening AssaysHumansNeoplasmsRNA Interference

Identifiers

PMID21757246
PMCPMC3195896

What OpenQuestion holds

Textmetadata
LicenceTDM
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.