Evidence map›Paper›PMID 20052754›Full record

ArticleHuman mutation2010

CanProVar: a human cancer proteome variation database.

Jing Li, Dexter T Duncan, Bing Zhang

Abstract read
In one paragraph

Article in Human mutation, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

40 citing papers in PubMed, 76 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Cancer pharmacoinformatics: Databases and analytical tools.Functional & integrative genomics · 2024
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Computational Approaches to Prioritize Cancer Driver Missense Mutations.International journal of molecular sciences · 2018
    Review
  15. Genetic and Epigenetic Features of Rapidly Progressing IDH-Mutant Astrocytomas.Journal of neuropathology and experimental neurology · 2018
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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 at 1 institution in 1 country.

Jing LiDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, USA.
Dexter T Duncan
Bing Zhang
Vanderbilt University · US

Funding

New Proteomic Algorithms to Identify Mutant or Modified ProteinsR01CA126218 · NCI · VANDERBILT UNIVERSITY · PI TABB, DAVID L · 2006 to 2010
$1.8M
Systems Approach to the Biological Basis of Colon Cancer MetastasesR01GM088822 · NIGMS · VANDERBILT UNIVERSITY · PI BEAUCHAMP, ROBERT DANIEL, ZHANG, BING · 2009 to 2012
$1.5M
NCI NIH HHS R01 CA126218NIGMS NIH HHS R01 GM088822NIGMS NIH HHS R01GM088822
6 · The paper itself

Abstract

Identification and annotation of mutated genes or proteins involved in oncogenesis and tumor progression are crucial for both cancer biology and clinical applications. We have developed a human Cancer Proteome Variation Database (CanProVar) by integrating information on protein sequence variations from various public resources, with a focus on cancer-related variations (crVAR). We have also built a user-friendly interface for querying the database. The current version of CanProVar comprises 8,570 crVARs in 2,921 proteins derived from existing genome variation databases and recently published large-scale cancer genome resequencing studies. It also includes 41,541 non-cancer specific variations (ncsVARs) in 30,322 proteins derived from the dbSNP database. CanProVar provides quick access to known crVARs in protein sequences along with related cancer samples, relevant publications, data sources, and functional information such as Gene Ontology (GO) annotations for the proteins, protein domains in which the variation occurs, and protein interaction partners with crVARs. CanProVar also helps reveal functional characteristics of crVARs and proteins bearing these variations. Our analysis showed that crVARs were enriched in certain protein domains. We also showed that proteins bearing crVARs were more likely to interact with each other in the protein interaction network. CanProVar can be accessed from http://bioinfo.vanderbilt.edu/canprovar.

Indexed as

AlgorithmsAmino Acid SequenceComputational BiologyDatabases, ProteinGenetic VariationHumansMolecular Sequence DataNeoplasmsPolymorphism, Single NucleotideProtein Interaction MappingProtein Structure, TertiaryProteomeProteomicsTissue DistributionUser-Computer InterfaceProteome

Identifiers

PMID20052754
PMCPMC2829365
OpenAlexW2047006637

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.